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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.
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To handle 2.5 quintillion bytes of data produced every day, enterprises need professionals who can treat, analyse and organise this data to provide valuable business insights, for intelligent actions. A data scientist dons many hats in his/her workplace. Not only they are responsible for business analytics, they are also involved in developing software platforms and building data products, along with being experts into data visualizations and machine learning algorithms. Much has been spoken about a data scientist being is the sexiest job title of the 21st century and data science as the most promising field. Building grounds on what that is already been written and said, Analytics Insights compiles the list of the top• Data Scientist
Average Salary: US$140,000 Data Scientists analyse the source of data with an effort to clean, and organize it for companies. Data scientists need to analyse large amounts of complex raw and processed information unearthing patterns that will benefit an organization that drive strategic business decisions. Compared to• Machine Learning Engineer
Average Salary: US$115,000 Machine learning engineers create data funnels and help the tech team to deliver software solutions. They typically need programming skills, besides strong statistics in addition to the knowledge of software engineering. In addition to designing and building machine learning systems, machine learning engineers are also responsible for running tests and experiments that monitor the performance and functionality of such systems.• Machine Learning Scientist
Average Salary: US$115,000 They research new• Data Architect
Average Salary: US$105,000 Data Architect’s ensure that the data solutions are built for performance. They design analytics applications for multiple platforms. In addition to creating new database systems, data architects often find ways to improve the performance and functionality of existing systems, as well as working to provide access to database administrators and analysts. They are well-versed with applied math and statistics, data visualization and data migration and RDMSs (relational database management systems) or foundational database skills. Data Architects have the knowledge about database management system software, especially Microsoft SQL Server, NoSQL and cloud computing.• Data Engineer
Average Salary: US$105,000 They perform batch processing or real-time processing on gathered and stored data.• Data Analyst
Average Salary: US$60,000
To handle 2.5 quintillion bytes of data produced every day, enterprises need professionals who can treat, analyse and organise this data to provide valuable business insights, for intelligent actions. A data scientist dons many hats in his/her workplace. Not only they are responsible for business analytics, they are also involved in developing software platforms and building data products, along with being experts into data visualizations and machine learning algorithms. Much has been spoken about a data scientist being is the sexiest job title of the 21st century and data science as the most promising field. Building grounds on what that is already been written and said, Analytics Insights compiles the list of the top Data Science jobs for the month of August-: US$140,000 Data Scientists analyse the source of data with an effort to clean, and organize it for companies. Data scientists need to analyse large amounts of complex raw and processed information unearthing patterns that will benefit an organization that drive strategic business decisions. Compared to data analysts, data scientists are much more technical, and possess an expertise in at least one programming language – R/ Python, data extraction, transformation, and loading capabilities. Skilled in data exploration, with a knowledge of machine learning algorithms, big data processing they are adept in data visualization as well.: US$115,000 Machine learning engineers create data funnels and help the tech team to deliver software solutions. They typically need programming skills, besides strong statistics in addition to the knowledge of software engineering. In addition to designing and building machine learning systems, machine learning engineers are also responsible for running tests and experiments that monitor the performance and functionality of such systems. Machine learning engineers know the concepts of computer science, software engineering, data analysis, feature engineering and the metrics involved in ML. They have expertise in maths and statistics and are knowledgeable in algorithm selection, and cross validation.y: US$115,000 They research new data approaches and algorithms to be used in adaptive systems. ML specialists have the data science know how, including supervised, unsupervised, and deep learning techniques. They are hired under the titles of research scientist or research engineer. The knowledge skills include robotics and machine learning, cognitive science and engineering. They have expertise in mathematics concepts and mathematical models: US$105,000 Data Architect’s ensure that the data solutions are built for performance. They design analytics applications for multiple platforms. In addition to creating new database systems, data architects often find ways to improve the performance and functionality of existing systems, as well as working to provide access to database administrators and analysts. They are well-versed with applied math and statistics, data visualization and data migration and RDMSs (relational database management systems) or foundational database skills. Data Architects have the knowledge about database management system software, especially Microsoft SQL Server, NoSQL and cloud computing.: US$105,000 They perform batch processing or real-time processing on gathered and stored data. Data engineer are also responsible for building and maintaining data pipelines which create a robust and interconnected data ecosystem within an organization, making information accessible for data scientists. Data Engineers know all about the ae tools and components of Data Architecture. Have an in-depth knowledge of SQL and other database solutions. They are experts into Hadoop-Based Analytics (HBase, Hive, MapReduce, etc.), coding, ML and various operating systems.: US$60,000 Data Analysts typically transform and manipulate large data sets. They also aid in the decision-making process by preparing intelligent reports to communicate trends and insights. Data Analysts are proficient in a high level of mathematical ability, programming languages like SQL, Oracle and Python and ability to analyse the model and interpret data. Data Analysts are experts in problem-solving skills with a methodical and logical approach to plan work and meet deadlines.
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.
You can apply for these computer vision jobs this December
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.
Analytics Insight has selected the top data science jobs for applying this weekend.
Data science is an essential part of any industry today, given the massive amounts of data that are produced. Data science is one of the most debated topics in the industry these days. Its popularity has grown over the years, and companies have started implementing data science techniques to grow their business and increase customer satisfaction.Data Scientist at Walmart Global Tech India
Location: Bengaluru, Karnataka ApplyBusiness Intelligence Analyst at Ranstad Offshore Services
Location: India Position Objective The purpose of this role is to partner with the Regional and global BI customers within RSR (who can include but are not limited to Data engineering, BI Support Teams, Operational Teams, Internal teams, and RSR clients) and provide business solutions through data. This position has operational and technical responsibility for reporting, analytics, and visualization dashboards across all operating companies within RSR. This position will develop processes and strategies to consolidate, automate, and improve reporting and dashboards for external clients and internal stakeholders. As a Business Intelligence Partner you will be responsible for overseeing the end-to-end delivery of regional and global account and client BI reporting. This will include working with data engineering to provide usable datasets, create dashboards with meaningful insights & visualizations within our BI solution (DOMO), and ongoing communication and partnering with the ‘BI consumers’. The key to this is as a Business Intelligence Partner you will have commercial and operational expertise with the ability to translate data into insights. You will use this to mitigate risk, find operational and revenue-generating opportunities and provide business solutions. ApplyData Scientist at Salesforce
Location: Hyderabad, Telangana As the Data Scientist role within the Global Shared Services and Office of Transformation group at Salesforce, you will work cross-functionally with business stakeholders throughout the organization to drive data-driven decisions. This individual must excel in data and statistical analysis, predictive modeling, process optimization, building relationships in business and IT functions, problem-solving, and communication. S/he must act independently and own the implementation and impacts of assigned projects, and demonstrate the ability to be successful in an unstructured, team-oriented environment. The ideal candidate will have experience working with large, complex data sets, experience in the technology industry, exceptional analytical skills, and experience in developing technical solutions. Responsibilities • Find creative solutions to challenging problems using a blend of business context, statistical and ML techniques • Understand data infrastructure and validate data is cleansed and accurate for reporting requirements. • Work closely with the Business Intelligence team to derive data patterns/trends and create statistical models for predictive and scenario analytics • Communicate insights utilizing Salesforce data visualization tools (Tableau CRM and Tableau) and make business recommendations (cost-benefit, invest-divest, forecasting, impact analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information • Partner cross-functionally with other business application owners on streamlining and automating reporting methods for Shared Services management and stakeholders. • Support the global business intelligence agenda and processes to make sure we provide consistent and accurate data across the organization ApplyAssociate Data Scientist at Shell
Job Description: • Gathers data, analyses, and reports findings. Gathers data using existing formats and will suggest changes to these formats. Resolves disputes and acts as an SME, first escalation level. • Conducts analyses to solve repetitive or patterned information and data queries/problems. • Works within a variety of well-defined procedures and practices. Supervised progress and results; inform management about analysis outcomes. Works autonomously within this scope, with regular steer required e.g., on project scope and prioritization. • Job holder identifies shortcomings in current processes, systems, and procedures within the assigned unit and suggests improvements. Analyses propose and (where possible) implements alternatives. ApplyData Analyst at Myntra
Responsibilities • Develop analytical models to estimate annual, monthly, daily platform returns and other key metrics and weekly tracking of AOP vs actual returns performance. • Monitor key OKR metrics across the organization for all departments. Work closely with BI teams to maintain OKR dashboards across the organization • Work with Business teams (Rev, Mktg, category), etc. on preliminary hypothesis evaluation on returns leakages/inefficiencies in the system (category, rev & pricing constructs, etc.) • Regular analysis and experimentation to find areas of improvement in returns maintaining a highly data-backed approach Maintain monthly reporting and track of the SNOP process • Influence various teams/stakeholders within the organization to meet goals & planning timelines. Qualifications & Experience • B Tech/BE in Computer Science or equivalent from a tier 1 college with 1-3 years of experience. • Problem-solving skills – the ability to break a problem down into smaller parts and develop a solution approach with an appreciation for Math and Business. • Strong analytical bent of mind with strong communication/persuasion skills. • Demonstrated ability to work independently in a highly demanding and ambiguous environment. • Strong attention to detail and exceptional organizational skills.
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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