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Computer vision is a field ofComputer Vision Data Scientist at Endovision
New Delhi Endovision is a Hong Kong-based med-tech company, which is helping endoscopists to reduce cancer miss rates with the aid of real-time video analysis using AI. We have generated interest worldwide, and this is the hottest area of research in the field of endoscopy. Our partners are located in Hong Kong, Japan, and India, with the primary focus on Hong Kong at the moment. They are looking to hire a new ‘Research Engineer’ in our team. You’d help create AI-first products — implementing state-of-the-art research papers, contributing to the company IP, and technology stack deployed in Nvidia Jetson ecosystem. You’d work on cutting-edge deep learning, computer vision, and graphics problems with an emphasis on endoscopy, with an opportunity to collaborate with research scientists and engineers at the Endovision and its partnering institutions. Candidates should have: Experience (academic or industry) with computer vision and deep learning in at least two – Neural networks – CNNs, RNNs, autoencoders, etc., and transfer learning – generative deep learning method, esp. for image generation from images and videos – numerical optimization. ApplyEngineer/Interns – Computer Vision and Machine Learning at DeepSight AI Labs Pvt Ltd
Gurugram, Haryana Profile Description: A passionate developer with a drive to work in a hot startup. You will be working in a team in the area of computer vision,Key Expectations
You should be passionate and have strong entrepreneurial skills to solve the problems that you come across
You have never given up attitude
You are a quick learner and respect others’ knowledge
You are ready to challenge any technology expert or traditional technology belief to create new innovation.
ApplyComputer Vision Engineer at CIRPI
Chennai, Tamil Nadu The company is creating a home design solution (AI) A platform to explore new Architectural designs for consumers. It is an upcoming organization in need of staff.
It is looking for a computer vision engineer who wants to be a part of the small team and has passion, dedication towards creating the best user experience
Expert problem-solving skills, computer programming skills, and strong mathematical skills would be appreciated, familiarity with libraries and frameworks for computer vision, machine learning, deep learning, and data science is highly valuable
It wants to find a programmer who has demonstrated initiative to learn AI on her/his own.
ApplyComputer Vision and Image Processing at SensoVision Systems
Bengaluru Experience: 2-5 years; Computer Vision and Image Processing: In this position, you will be involved in the given Roles and Responsibilities Roles and Responsibilities Working on computer vision/image processing applications like object classification, segmentation, etc. Working on deep learning algorithms for machine vision-based inspection use cases. Working on Machine Vision Cameras involving a variety of Lens, Filters, and other Optical Elements to collect data. Having full-stack development experience will be a plus. Educational Qualification Bachelor’s degree in marketing, business or related field. Skill(s) required OpenCV, Python, Linux and C programming, Python, PHP, Django, cloud, TensorFlow, machine vision camera experience will be a bonus.Desired Skills and Experience
Image processing, algorithms, Python, c programming, machine vision, Django, Linux, PHP, OpenCV ApplyComputer Vision Specialist at Bosch Engineering and Business Solutions
A Master’s or Ph.D. is preferred (Computer Science / Machine Learning, etc.,) from tier 1 institutions.Job Requirements
Good knowledge of computer vision algorithms and hands-on experience in Opencv, machine learning, and deep learning for vision data
Experience in the medical or industry domain on computer vision will be preferable
Ability to drive product class algorithm development including data acquisition, processing, and deployment in edge or cloud
Partner closely with product and engineering leaders throughout the lifecycle of the project. Ensure that necessary data is captured; analytic needs are well-defined upfront and coordinate the analytic needs
Drive efforts to enable product and engineering leaders to share their knowledge and insights through clear and concise communication, education and data visualization
Should have independently handled a project technically and provided directions to the other team members
Experience in turning ideas into actionable designs
Able to persuade stakeholders and champion effective techniques through the development
Ongoing technical authority role with our larger customers
Strong interpersonal and communication skills: the ability to tell a clear, concise actionable story with data, to folks across various levels of the company
Able to lead the project independently
Technical directions to junior in the team, like to sort the respective task for responsible team members.Technical Skills
Expertise with one of the following DL frameworks;
Tensorflow, Keras, Caffe, Pytorch
Proficient in OpenCV – and image processing stacks
Knowledge in Machine learning algorithms – like regression, SVM, clustering etc.,
Good to have – programming skills – C/C++
Good to have – knowledge in containers – like Dockerization
Good to have – knowledge in CI/CD pipelines.
Preferable: knowledge working with IP cameras / GIGE cameras / live data acquisition/data acquisition optimization
Domain expertise in one the areas: automotive or medical or industry
Should have experience in the cloud or edge deployment architectures
Tech-savvy and willing to work with open-source Tools
Applying statistical and machine learning techniques, such as mean-variance, k-means, nearest-neighbor, support vector, Bayesian time-series, and network analysis to identify outliers, classify events or actors and correlate anomalous sequences of events.
You're reading Top Computer Vision Jobs To Apply In December 2023
Apply to these top machine learning jobs Machine Learning Specialist at Standard Chartered Bank
Chennai, Tamil Nadu, IndiaRequirements
Experience 0-6 years
A strong foothold on machine learning and deep learning concepts
Preference for work experience in unstructured data-based models using NLP and computer vision
Knowledge of full-stack machine learning on all phases of model design to deployment
Python/Django, API development, Git, TensorFlow, Numpy, Pandas, Jenkins
Ability to do fast prototypes and interest to work in cutting edge research areas such as explainable AI, federated learning, reinforcement learning etc.
Knowledge of cloud (AWS Preferred)
Github links/blogs that can showcase your work.Microsoft Azure Machine Learning Application Lead at Accenture
Bengaluru, Karnataka, India Project Role: Application Lead Project Role Description: Lead the effort to design, build and configure applications, acting as the primary point of contact. Management Level:9 Work Experience:6-8 years’ Work location: Bengaluru Must Have Skills: Microsoft Azure Machine Learning Good To Have Skills: No Function Specialization Key Responsibilities: Solely responsible for the machine learning-based software solution and work independently based on inputs from the other department’s design, develop, troubleshoot and debug products/solutions in the AI/ML domain Work with partners within/outside BU to develop and commercialize products/solutions Help to create a cloud-based machine learning environment 2 support the overall development support firmware development / embedded system. Technical Experience: Strong Knowledge of machine learning, deep learning, natural language processing, and neural networks 2 experience with any of the languages Nodejs, python or Java familiarity with ML tools, and packages like OpenNLP, Caffe, Torch, TensorFlow, etc also knowledge on SQL, Azure DevOps CI/CD, Docker, etc. Professional Attributes : He / She must be a good team player with good analytical skills, good communication and Interpersonal skills 2 Should have good work ethics, always can-do attitude, good maturity and professional attitude should be able to understand the organizational and business goal and work with the team.Machine Learning Engineer at Pratiti Technologies
Pune, Maharashtra, IndiaJob Profile:
Design and build machine learning models and pipeline Role Description: The role requires you to think critically and design with first principles. You should be comfortable with multiple moving parts, microservices architecture, and de-coupled services. Given you are constructing the foundation on which data and our global system will be built, you need to pay close attention to detail and maintain a forward-thinking outlook as well as scrappiness for the present needs. You are very comfortable learning new technologies, and systems. You thrive in an iterative but heavily test-driven development environment. You obsess over model accuracy + performance and thrive on applied machine learning techniques to business problems.You are a good fit if you:
Have strong experience building natural language processing (NLP) based systems, specifically in areas such as event and topic detection, relation extraction, summarization, entity recognition, document classification, and knowledge-based generation
Have experience with NLP and machine learning tools and libraries such as NumPy, Genism, SpaCy, NLTK, Scikit-learn, Tensorflow, Kerasetc
Learn new ways of thinking about age-old problems
Are passionate about driving the performance of machine learning algorithms towards the state of the art and in challenging us to continually improve what is possible
Have experience in distributed training infrastructure and ML pipelines.Senior Machine Learning Engineer – India at Bungee Tech
India RemoteJob Responsibilities:
Work with Business stakeholders to understand the customer requirements of our SaaS products and expand the product vision using the power of AI/ML
Provide clear, compelling analysis that shapes the direction of our business
Build neural net models that contribute to the enhancement of our image and text processing algorithms
Harness neural net-based natural language processing models to create new path-breaking capabilities in the retail business
Use machine learning, data mining, statistical techniques, etc. to create actionable, meaningful, and scalable solutions for business problems
Analyze and extract relevant information from large amounts of data and derive useful insights at a big data scale.
Work with software engineering teams, data engineers, and ML operations team (Data Labelers, Auditors) to deliver production systems with your deep learning models
Architecturally optimize the deep learning models for efficient inference, reduce latency, improve throughput, reduce memory footprint without sacrificing model accuracy
Establish scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation
Create and enhance a model monitoring system that could alert real-time anomalies with the model.
Streamline ML operations by envisioning human-in-the-loop kind of workflows, collect necessary labels/audit information from these workflows/processes, that can feed into improved training and algorithm development process
Maintain multiple versions of the model and ensure the controlled release of models.Machine Learning Ops Engineer – Analytics at Optimal Strategix Group, Inc.
Bengaluru, Karnataka, India HybridKey Responsibilities:
Takes ownership for MLOPs for product development (on the cloud using microservices architecture)
Connect AI/ML modules to frontend and backend to build scalable and reproducible solutions
Setup pipelines, design and develop RESTful APIs for ML solution deployment
Ensuring code/solution delivery within schedule
Coordinating with external stakeholders and internal cross-functional teams in ensuring timelines are met and clear communication is established
Has an automation mindset and continuously focus on improving current processes
Proactively find issues and consult on possible solutions. Should be good at problem-solving.Skills / Competencies:
Experience in NLP, AWS, and/or Azure Infrastructure and comfortable with frameworks like MLFLow, AirFlow, Git, Flash, Docker, Spark.
Must have experience including hands-on skills in Python, SQL, Dockers
Hands-on experience in AWS like S3, VPC, EC2, Route-53, RDS, cloud formation, cloud watch, Lambda
Should have experience in architecting and developing solutions for end-to-end pipelines
Proficiency in Python programming – data wrangling, data visualization, machine learning, statistical analysis
Handling of unstructured data – Video/Image/Sound/Text
The ability to keep current with the constantly changing technology
Ability to design, develop, test, deploy, maintain, and improve ML Modules and infra
Ability to manage project priorities, deadlines, and deliverables
Design and build new data pipelines from scratch till deployment for projects
Mentor other MLOPs engineers
Excellent verbal and written communication skills
Should be able to articulate ideas clearly
Ability to think independently and take responsibility
Should show inquisitiveness in understanding business needs
Should be able to understand the business context
Good time management and organizational skills
Sense of urgency in completing project deliverables in time.
Chennai, Tamil Nadu, IndiaBengaluru, Karnataka, India Project Role: Application Lead Project Role Description: Lead the effort to design, build and configure applications, acting as the primary point of contact. Management Level:9 Work Experience:6-8 years’ Work location: Bengaluru Must Have Skills: Microsoft Azure Machine Learning Good To Have Skills: No Function Specialization Key Responsibilities: Solely responsible for the machine learning-based software solution and work independently based on inputs from the other department’s design, develop, troubleshoot and debug products/solutions in the AI/ML domain Work with partners within/outside BU to develop and commercialize products/solutions Help to create a cloud-based machine learning environment 2 support the overall development support firmware development / embedded system. Technical Experience: Strong Knowledge of machine learning, deep learning, natural language processing, and neural networks 2 experience with any of the languages Nodejs, python or Java familiarity with ML tools, and packages like OpenNLP, Caffe, Torch, TensorFlow, etc also knowledge on SQL, Azure DevOps CI/CD, Docker, etc. Professional Attributes : He / She must be a good team player with good analytical skills, good communication and Interpersonal skills 2 Should have good work ethics, always can-do attitude, good maturity and professional attitude should be able to understand the organizational and business goal and work with the team.Pune, Maharashtra, IndiaDesign and build machine learning models and pipeline Role Description: The role requires you to think critically and design with first principles. You should be comfortable with multiple moving parts, microservices architecture, and de-coupled services. Given you are constructing the foundation on which data and our global system will be built, you need to pay close attention to detail and maintain a forward-thinking outlook as well as scrappiness for the present needs. You are very comfortable learning new technologies, and systems. You thrive in an iterative but heavily test-driven development environment. You obsess over model accuracy + performance and thrive on applied machine learning techniques to business problems.India RemoteBengaluru, Karnataka, India Hybrid
Explore the list of data science manager jobs in December 2023
A data science manager is a data expert that manages all the things associated withGenpact
Job Role: Manager – Data Science Location: Bangalore Job Description: This role requires the ability to coordinate the work of others to ensure high-quality output while also contributing quality code to a project. Candidates are expected to build tools for Finance and salespeople. They will require to write and maintain frontend and backend code continuously; suggest, implement, and iterate on instilling standard methodologies for this development team, participate in sprint planning and development through sprints, and more. Preferred Qualifications:
Bachelor’s degree in a related field, or equivalent work experience
Extensive knowledge of object-oriented programming (e.g., Java, JHipster, Spring, C#)
Experience in related field preferred
Role: Manager- Data Science Location: Pune Job Description: Merkle is a leader in digital marketing and analytics that manages digital marketing campaigns for large brands in India. Aspirants for the role of Manager – Data Science at Merkle will be responsible for leveraging statistical methods to analyze data and generate useful business reports. They will also require to assess client data using EDA and provide actionable insights to improve processes and present them successfully to management using a reporting tool. Preferred Qualifications:
3+ years of core data science/analytics experience.
Hands-on experience in building statistical models like regression, decision tree, random forests and other AI/ML models is a must.
Experience using R, Python, SAS is mandatory.
Ability to write SQL queries, doing cohort analysis, comparative analysis, etc.
Ability to lead their own projects and work independently once given a direction.
Have inquisitive and great problem-solving skills, and more,Honeywell
Job Role: Data Science Manager Location: Bangalore Job Description: As a Data Science Manager at Honeywell, candidates will lead a team of high-performing data scientists to enable the organization to deliver high-value internal enterprise analytics use cases as well as external enterprise analytics products for its customers. The candidates will be responsible for collaborating and influencing team resourcing including engineering, data engineering, customer engagement, and product managers to ensure successful execution. They will also have to assist engagement leaders in identifying and prioritizing analytics and more. Preferred Qualifications:
Master’s degree in an analytics field (e.g., Data Science, Engineering, Mathematics)
Minimum of 3 years managing deeply technical individual contributors
Minimum of 5 years of Data Science prototyping and deployment experience
Experience with MLOps, Python, SQL, product management and agile methodology, and more.Amazon
Job Role: Big Data Engineer Location: Bangalore Job Description: For this role, ideal candidates will require to have expertise in all phases of the software development life cycle in building models that scale over time while balancing accuracy, flexibility and speed. The data flowing through the company’s platform, directly contributes to decision-making by its CFO and all levels of finance leadership. This job role is beneficial for those who are passionate about building tools that enhance productivity, improve financial accuracy, reduce waste, and improve work-life harmony for a large and rapidly growing finance user base. Preferred Qualifications:
1+ years of experience as a Data Engineer or in a similar role.
Experience with data warehousing, building ETL pipelines, and SQL.
Bachelor’s degree in Information Systems, Computer Science, Finance, Accounting, Economics, Mathematics, or a related technical discipline.
4+ years of Cognos TM1 work experience in developing end-to-end analytics solutions, including system configuration, model building, data security, and reporting, and more.Novartis
Job Role: Senior Manager- Data Science & Analytics Location: Hyderabad Job Description: Preferred Qualifications:
Project Management leveraging digital technology/ big data sound technical & scientific knowledge of pharmaceutical/ chemical analytics/QC/ equivalent.
Ability to work and lead (a cross-functional team) in a matrix environment
Masters/Bachelor’s degree in economics, econometrics, statistics, mathematics, operations research, engineering (biotech, computer science, information technology), pharmaceutical, life science or a similar field, MBA from reputed institutes. And more.J.P. Morgan
Job Role: Data Scientist Associate – CIB Wholesale Payments Data and Analytics Location: Mumbai Job Description: The Data Scientist Associate role is responsible for executing big data analytics projects in response to product innovation for merchant services. Candidates for this position must be proficient with managing complex data sets, using modern statistical and data exploration practices and creating insightful visualizations, especially SQL on Hadoop, Tableau, python. They require to develop robust analysis and deliverable plans to support a clear and shared understanding of project requirements and goals. They will also synthesize data sets to craft actionable consumer insights that support merchant growth agendas and more. Preferred Qualifications:
Bachelor’s or Master’s degree in engineering, computer science, statistics, mathematics, or similar technical or quantitative field
5+ years of working in a big data environment as a contributing member in self-directed roles
Deep experience across a range of database and business intelligence tools (especially SQL on Hadoop (Hive, Impala), Tableau and python);
Expertise in quantitative research techniques and analytics using R, Python or MATLAB
Knowledge of ML/AI packages like scikit-learn, TensorFlow, PyTorch
Demonstrated ability to distill KPIs and other performance metrics from data and more.
TheTop data science jobs in March 2023 Data scientist at IBM
Location: India IBM India Pvt. Limited has been present in the country since 1992. IBM India’s solutions and services span all major industries including financial services, healthcare, government, automotive, telecommunication and education, among others. As a trusted partner with wide-ranging service capabilities, IBM helps clients transform and succeed in challenging circumstances. IBM has been expanding its footprint in India and has a presence in over 200 cities and towns across the country, either directly or through its strong business partner network. Role and responsibility: The expected candidate should be a Subject Matter Expert on building big data solutions with great scalability. Led by a solution architect, they will provide expertise and leadership to help design IBM Data Science and AI solutions that will help the company’s clients drive technology benefits and business outcomes across industries. The candidate will work with cutting edge technologies such as Watson, as well as open-source approaches with a passionate team of people who are driving the innovation and digital transformation to cross-industry enterprise clients with the adoption of IBM Data Science and AI. Apply for the jobData Scientist at HCL
Location: Noida, Delhi, India HCL Engineering and R&D Services (ERS) partners with global enterprises in accelerating product development by leveraging the latest technologies, monetizing product services, and providing an immersive customer experience. The company is one of the most valued broad-based global engineering service providers (ESPs). With over four decades of experience in supporting customers in their digital transformation, HCL seamlessly integrates with and complements customers’ product engineering and research and development activities. Apply for the jobData Scientist (Banking Domain) at Capgemini
Location: Chennai, Tamil Nadu, India Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The Group is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital platforms. Building on its storing 50-year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Role and Responsibility: The candidates applying for the data science job profile at Capgemini is expected to have 5 to 9 years of experience in the banking or IT industry on data science projects involving quantitative statistical and predictive analysis of large data. He/she should have prior knowledge of mathematical programming platforms/packages like R, Python, MATLAB and basic programming skills in Python or C. Apply for the jobT&O- OA Data Scientist (Behavioral Science) at Accenture
Location: Gurugram, Haryana, India Role and responsibility: As an Organisational Analytics (OA) scientist in Accenture’s Talent & Organisation (T&O) practice, the candidate should fetch information from various sources and analyze it to better understand people behaviour. He/she should fetch information from various sources related to Behavioural science/industry and Organisational Psychology/Social Sciences to create new frameworks. The candidate should also design a framework for the questionnaire and other assessment. Apply for the jobPrincipal Data Scientist at DirecTech Labs
Location: Noida, India DirecTech Labs was created to tap an incredible opportunity for its clients by helping the industry grow through improving experience and satisfaction for consultants. The company uses data to uncover previously invisible patterns of seller and customer behaviour and unprecedented insights into direct sellers at an individual level. Role and Responsibility: As a principal data scientist, the candidate gets a chance to drive the behavioural intelligence that powers DirecTech Labs actionable analytics and global messaging platform with over a million users and 20 million lifecycles in its database. He/she will be a key member of the data science team working to improve current behavioural models, develop new ones, and prove the efficacy and business impact of the company’s global messaging and alerts. Apply for the jobData Science-Lead at Wipro
Location: Bengaluru, Karnataka, India Wipro Limited is a leading global information technology, consulting and business process service company. Wipro harnesses the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help the company’s clients adapt to the digital world ad make them successful. Role and responsibility: The profile demands mandatory knowledge in data science and Python. As a lead, he/she is responsible for managing a small team of analysts, developers, testers or engineering and drive delivery of a small module within a project. Apply for the jobData Analyst at Amazon
Location: Bengaluru, Karnataka, India Amazon is the world’s largest online retailer and a prominent cloud services provider. Amazon aims to be earth’s most customer-centric company. Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational experience, and long-term thinking. The company is driven by the excitement of building technologies, inventing products, and providing services that change lives. Roles and responsibility: As an analyst, the candidate will work closely with program and product managers to analyze data, identify, areas to improve, define metrics to measure and monitor programs and build end-to-end reporting solutions which help leaders keep an eye on business areas. The candidate will also work closely with internal business teams to extract or mine information from Amazon’s existing systems to create new analysis, and expose data from its group to wider teams in intuitive ways.
Computer vision is an interdisciplinary study that studies how computers may be built to learn at a high level from digital pictures or films. From an engineering standpoint, it tries to automate operations that the human visual system can do start-ups. Computer vision uses artificial intelligence to train computers to examine and comprehend pictures at a high level. This includes video tracking and object identification, as well as scene reconstruction and navigation mapping.
Several businesses, including real estate, retail, and even dentistry, have discovered creative methods to utilize computer vision.
Sense Time: SenseTime, a worldwide firm based in China, aspires to positively improve human civilization using AI tools. Academic research is one of their strong skills, and they have made significant contributions to AI research. One of SenseTime’s achievements has been the development of an AI system that identifies things better than the human eye. Several of their other research areas have already helped to boost various industries, including automotive, education, finance, and healthcare.
Megvii: Megvii creates Face++ Cognitive Services, a platform that provides computer vision technologies that let your apps read and comprehend the environment better. Face++’s easy and powerful APIs and SDKs enable you to effortlessly integrate leading, deep learning-based image analysis recognition technologies into your projects.
Hawk-Eye Innovations: Hawk-Eye blends sports and computer science by analyzing player decisions using AI vision. Its technology can process data from the players in real time while the ball or even the automobile moves. The statistics obtained from this data serve as the foundation for a variety of products and services aimed at revolutionizing the sport by assessing the impartiality of the game and improving its broadcast.
Shield AI: Shield AI collaborates with the Departments of Defense and Homeland Security, as well as other federal, state, and municipal departments and agencies, to develop next-generation intelligence, reconnaissance, and surveillance technologies. Nova, Shield AI’s initial product, is a Hivemind-powered drone that scans buildings while transmitting video and creating maps.
Veranda: Many new business and residential buildings now include extra security and surveillance systems. Surveillance cameras, smart doors, home automation, and other access control systems are examples. Verkada is a firm that offers a cloud platform through which all of this equipment may be remotely managed and monitored. The firm was launched in 2023 by Stanford University graduates and has swiftly piqued the interest of investors due to its great growth potential. Verkada, which was named in Forbes’ $ 1 billion startup list in 2023, was awarded with a $ 1.6 billion the following year. It provides security cameras and access control solutions that employ computer vision to authenticate individuals and identify dangers.
Metropolis: Metropolis is an artificial intelligence and computer vision startup that aims to reinvent parking and empower the future of mobility.
Trigo: Trigo enhances the production of grocery shops by merging AI-enabled technology with machine learning and artificial intelligence. Consumers in Trigo-connected establishments will not have to wait in line at the checkout. Instead, customers may scan the things over the phone, pay for them, and then depart when completed. Trigo began working with Cloud Servers in 2023 to speed growth and extend its portfolio.
Onfido: Onfido fosters confidence in the digital world by assisting companies in digitally verifying people’s identities. Our Identity Record Check compares your users’ information to a variety of recognized worldwide databases and credit reference organizations.
Nauto: The primary goal of NAUTO is to make driving safer for everyone by utilizing computer vision. Its cutting-edge artificial intelligence detects real-time hazards by recording the driver’s attention, vehicle movement, and other contextual data. With the assistance of this critical data, the driver has extra time to respond and prevent or stop before something unfavorable occurs. The ai – powered NAUTO fleet insurer platform is used by over 400 companies, and the technology has processed over a billion miles of driver photos.
Analytics Insight explores the top NLP jobs in India to apply today for you Top NLP jobs in India to apply today NLP Application Developer at Accenture
Location: Bengaluru Responsibilities: The NLP application developer is needed to design, build, and configure applications to meet business processes and application requirements. It is essential to understand functional and technical requirements to create a technical prototype, take ownership for end-to-end product design, development and prototyping. The candidate must communicate with stakeholders and understand key data structures to code in one programming language. Qualifications: The candidate must have a degree in B.E/B. Tech/M. Tech/M.S. with one to five years of practical experience. It is essential to have a strong knowledge of Python, Django, NLP libraries, machine learning libraries, scientific computation tools, and machine learning algorithms to work on algorithm development and optimization.Research Scientist- Speech at Swiggy
Location: Bengaluru Responsibilities: The candidate should act as a Subject Matter Expert in speech technology such as automatic speech, speaker recognition, speaker diarization, text-to-speech, and many more. It is expected to work on important problem statements and Automatic Speech Recognition (ASR) for different applications such as call log analysis, voice bot for English and other languages in the same sentence, keyword spotting, and biometric authentication with voice, sentiment analysis, categorization of output text, and many more. Qualifications: The candidate must have a Master’s degree like M. Tech or M.S. or a PhD degree with more than two years of hands-on experience in speech, NLP, or related fields for research. It is essential to have a strong understanding of classical speech processing methodologies, Gaussian Mixture Models (GMMs), artificial intelligence neural networks, language modelling, machine learning tools, and many more. There should be practical experience in coding languages with open source machine learning or deep learning libraries, and 1ASR systems like HTK, Kaldi, etc.NLP Architect at Wipro
Location: Bengaluru Responsibilities: The NLP architect must provide technical leadership to small size and order-value projects while documenting architecture, capturing, and defining non-functional requirements, preparing estimates, and defining technical solutions to proposals. The candidate is expected to provide technical leadership to project teams to perform design to deployment-related activities, guidance, and perform reviews. It is essential to prevent and resolve technical issues efficiently and effectively. Qualifications: The candidate must have a practical experience of five to eight years with in-depth knowledge of applicable processes, methodologies, products, NLP, artificial intelligence, etc. Strong skills are required in AWS machine learning, NLP, and deep learning.Senior Applied Scientist- Machine Learning/NLP at Amazon
Location: Hyderabad Responsibilities: The candidate needs to develop enterprise machine learning solutions on business impact, and graduate models to production. It is essential to organize addresses into a hierarchy in the presence of multi-lingual user inputs, build a generic machine learning framework to leverage the relationship between places and develop systems to consume inputs. Qualifications: The candidate must have a Master’s degree or PhD in Computer Science, Mathematics, Statistics, or any related field with statistical modelling and machine learning with more than three years of practical experience after a PhD and over eight years of experience after Masters in applied machine learning. There should be proficiency in one machine learning or statistical modelling library with one programming language.AI/NLP Engineer at IBM
Location: Ahmedabad Responsibilities: The NLP engineer should help in inculcating cutting-edge NLP and artificial intelligence capabilities into the existing set of products in IBM and design NLP applications and devices favourable for data collection strategies for supervised and semi-supervised training of NLP models. It is essential to seek and implement the right algorithms and tools for NLP tasks with the use of effective text representations to generate features from natural text. The candidate must train the developed model and run evaluation experiments to refine models. Qualifications: The candidate must have a Bachelor’s or Master’s degree in Computer Science/Mathematics/Computational linguistics/ or any other technical field with more than six years of industry experience. It is essential to have a strong understanding of NLP techniques for text representation techniques, semantic extraction techniques, data structures, machine learning frameworks, machine learning libraries. There should be good knowledge of any programming language like Python and writing robust and testable code.
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