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data scientist-artificial intelligence Jobs in Pune

data scientist-artificial intelligence

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Schaeffler

<div>
 Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.
 
 
 
 Your Key Responsibilities
 
 
 
 <ul>
 <li>
 Research and define analytical models based on given data/information as part of analytical ad hoc feasibility cases, proofs of concepts or with a focus on software development towards deployable analytics solutions.
 </li>
 <li>
 Collaborate with internal and/or external clients to understand business requirements.
 </li>
 <li>
 Compile, sort and organize function-specific information and data in preparation for subsequent analyses.
 </li>
 <li>
 Conduct both routine and instant data cleaning and testing, identify and resolve data quality issues in cooperation with the team.
 </li>
 <li>
 Analyze data for instant feasibility cases and proofs of concepts.
 </li>
 <li>
 Actively contribute in the research and definition of analytical models that will be transferred in the products eventually.
 
 
 </li>
 </ul>
 
 Your Qualifications
 
 
 
 <ul>
 <li>
 Graduate Degree in Business Informatics, Applied Computer Science, Mathematics, Software Engineering, Machine Learning
 </li>
 <li>
 3 to 5 years
 
 
 </li>
 </ul>
 As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves.
 
 
 Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your application.
 
 
 www.schaeffler.com/careers
 
 
 
 Your Contact
 
 
 
 Schaeffler Technology Solutions India Pvt. Ltd.
 
 
 Kalyani More
 
 
 For technical questions, please contact this email address: technical-recruiting-support-AP@schaeffler.com
 
 
 Keywords: Experienced; Engineer; Full-Time; Unlimited; Digitalization &amp; Information Technology;
</div>

Data Scientist -Senior

Quess Corp Limited

<div>
 
 Data Scientist: 4-6Years
 
 
 Analyze complex datasets to uncover patterns, trends, and insights that drive strategic business decisions.
 
 
 Develop predictive models, machine learning algorithms, and statistical analyses to solve business problems and improve campaign or operational performance.
 
 
 Collaborate with business and technical teams to define data science use cases and translate business requirements into analytical solutions.
 
 
 Communicate findings and recommendations through visualizations, presentations, and reports tailored to both technical and non-technical audiences.
 
 
 Work with large volumes of structured and unstructured data using tools such as Python, SAS, SQL, and big data platforms.
 
</div>

Data Scientist

Infosys Consulting

<div>
 
 Infosys Consulting, the management consulting business of Infosys, is looking to hire Data Scientists. You should have between 2 to 10 years of Data Science experience.
 
 
 
 
 
 Successful candidates will be part of a specialized customer-facing AI Labs team in our rapidly expanding Automation &amp; Artificial Intelligence Consulting Practice. They will work closely with our AI Consultants and SMEs to define and deliver best-in-class solutions.
 
 
 
 
 
 You will be entrepreneurial, inspired by execution excellence, possess strong design skills creating client deliverables and bid documents, highly analytical, emotionally intelligent, a team player, and only satisfied when your work has a meaningful impact. You will help our clients identify and qualify opportunities to leverage automation to unlock business value and maintain a competitive edge.
 
 
 
 
 
 Infosys Consulting offers exceptional opportunity for personal growth, and, alongside client engagements, you will be recognized for your personal contribution to leading and developing new opportunities, developing thought leadership and service offerings in the domains of artificial intelligence and automation.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
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 You will need to be well spoken and have an easy time establishing productive long lasting working relationships with a large variety of stakeholders
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 Take the lead on data pipeline design with strong analytical skills and a keen eye for detail to really understand and tackle the challenges businesses are facing
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 You will be confronted with a large variety of Data Science tools and other new technologies as well with a wide variety of IT, compliance, security related issues.
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 Design and develop world-class technology solutions to solve business problems across multiple client engagements.
 </li>
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 Collaborate with other teams to understand business requirements, client infrastructure, platforms and overall strategy to ensure seamless transitions.
 </li>
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 Work closely with AI and A global team and with our Fortune 500 clients to build world-class solutions and to define AI strategy.
 </li>
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 You will possess strong logical structuring and problem-solving skills with expert level understanding of database and have an inherent desire to turn data into actions.
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 <li>
 Strong verbal, written and presentation skills
 </li>
 <li>
 As a Data Scientist, you will need to have strong programming skills and strong understanding of data science and Machine Learning tools.
 </li>
 <li>
 You will be working on high impact initiatives with other Data Scientists across the globe
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor's or master&rsquo;s degree/PhD in Statistics, computer science, information technology, or a similar field.
 </li>
 <li>
 Solid understanding in Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis and data exploration.
 </li>
 <li>
 Expert level experience in Python or R.
 </li>
 <li>
 Strong experience in machine learning algorithms like
 </li>
 </ul>
 
 o Linear/Logistic regression,
 
 
 o Random Forest,
 
 
 o SVM,
 
 
 o Neural Networks,
 
 
 o Deep Learning &ndash; CNN, RNN, LSTM
 
 <ul>
 <li>
 Exposure to NLP and Computer vision use cases.
 </li>
 <li>
 In-depth knowledge of neural networks and architectures
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 Familiarity with the latest DL architectures.
 </li>
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 Toolkits/Frameworks/Libraries - Pytorch, TF/Keras, Scikit-Learn, BERT
 </li>
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 Experience in Machine Learning Lifecycle &ndash; Data Processing, Algorithm Benchmarking, Validation
 </li>
 <li>
 Exposure to build an AI model from scratch
 </li>
 <li>
 Exposure to Graph based databases is a plus.
 </li>
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 Experience with relational databases.
 </li>
 </ul>
</div>

Data Science Consultant

<div>
 
 Job Reference #
 
 
 318000BR
 
 
 
 Job Type
 
 
 Full Time
 
 
 
 Your role
 
 
 
 <ul>
 <li>
 build advanced statistical models to generate meaningful and actionable insights, improve decision making, optimize the business process, and help address business problems.
 </li>
 <li>
 work on generative ai (genai) models to deliver personalized insights and solutions for clients, financial advisors, and prospects.
 </li>
 <li>
 leverage advanced data science techniques to analyze large datasets and extract actionable insights.
 </li>
 <li>
 collaborate with cross-functional teams to integrate predictive models into wealth management decision-making processes.
 </li>
 <li>
 implement and utilize tools like langchain, langgraph, and vector databases to build scalable, efficient ai-driven solutions.
 
 
 </li>
 </ul>
 
 Your team
 
 
 You will be part of the Data Science STAAT Team, WMA Technology. Our Data Science team is at the heart of DAFP&rsquo;s function to manage and support data science efforts across different business areas.
 
 
 
 Your expertise
 
 
 
 <ul>
 <li>
 bachelor&rsquo;s degree or higher in machine learning, computer science, computational linguistics, mathematics or other relevant technical field from premier institute.
 </li>
 <li>
 strong foundation in probability, statistics, linear algebra, calculus, machine learning and generative ai/llm.
 </li>
 <li>
 expertise in deep learning techniques and applications.
 </li>
 <li>
 strong understanding of generative ai (genai) including math behind the models and its practical implementations.
 </li>
 <li>
 hands-on experience working with large language model apis like azure openai, anthropic etc.. and cloud ecosystems like azure, aws, gcp, databricks
 </li>
 <li>
 proficiency in langchain, langgraph, and working with vector databases for advanced data retrieval and ai workflows.
 </li>
 <li>
 proficiency in python or similar programming languages, with experience in ai/ml libraries and frameworks such as tensorflow, pytorch, or hugging face.
 </li>
 <li>
 knowledge of financial products, including mutual funds, etfs, and client segmentation, is a plus.
 
 
 </li>
 </ul>
 
 About Us
 
 
 UBS is the world&rsquo;s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal &amp; Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors..
 
 
 We have a presence in all major financial centers in more than 50 countries.
 
 
 
 How We Hire
 
 
 
 We may request you to complete one or more assessments during the application process. Learn more
 
 
 
 Join us
 
 
 At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We&rsquo;re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That&rsquo;s why collaboration is at the heart of everything we do. Because together, we&rsquo;re more than ourselves.
 
 
 We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
 
 
 
 Disclaimer / Policy Statements
 
 
 UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
 
 
 
 Your Career Comeback
 
 
 We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.
</div>

EPAM Systems

<div>
 
 We are looking for a
 
 Lead Data Scientist
 
 to join our collaborative team. You will play a key role in developing and implementing AI solutions across various applications, from statistical analysis to natural language processing. If you are passionate about leveraging data to create impactful solutions, we encourage you to apply.
 
 
 &nbsp;
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Develop and implement AI solutions including classification, clustering, and anomaly detection
 </li>
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 Conduct statistical data analysis and apply machine learning techniques
 </li>
 <li>
 Manage complete project delivery from data preparation to model evaluation
 </li>
 <li>
 Utilize Python programming and SQL for data manipulation and analysis
 </li>
 <li>
 Engage in ML Ops and model development workflows
 </li>
 <li>
 Create models that are accessible for business use
 </li>
 <li>
 Collaborate with teams using software development methodologies and version control
 </li>
 <li>
 Document processes and maintain project tracking tools such as Jira
 </li>
 <li>
 Stay updated with new technologies and apply problem-solving skills effectively
 </li>
 <li>
 Deliver production-ready solutions and facilitate knowledge sharing
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Requirements
 
 
 <ul>
 <li>
 9+ years&nbsp;of experience in software engineering, specializing in Data Science
 </li>
 <li>
 At least 1 year of relevant leadership experience
 </li>
 <li>
 Proficiency in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations
 </li>
 <li>
 Experience in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP
 </li>
 <li>
 Expertise in complete project delivery, from data preparation to model building, evaluation, and visualization
 </li>
 <li>
 Proficiency in Python programming and SQL, with experience in production-level code and data analysis libraries
 </li>
 <li>
 Familiarity with ML Ops, model development workflows, and feature engineering techniques
 </li>
 <li>
 Capability in manipulating data and developing models accessible for business use, with experience in Azure AI Search
 </li>
 <li>
 Competence in software development methodologies, code versioning (e.g., GitLab), and project tracking tools (e.g., Jira)
 </li>
 <li>
 Enthusiasm for learning new technologies, with expertise in problem-solving and delivering production-ready solutions
 </li>
 <li>
 Fluency in UNIX command line
 </li>
 <li>
 Familiarity with Agile development practices
 </li>
 <li>
 Excellent communication skills in English, with a minimum proficiency level of B2+
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Knowledge of Cloud Computing
 </li>
 <li>
 Experience with Big Data tools
 </li>
 <li>
 Familiarity with visualization tools
 </li>
 <li>
 Proficiency in containerization tools
 </li>
 </ul>
</div>

Lead Data Scientist

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for:
 </li>
 <li>
 Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data &amp; incorporating machine learning. techniques in your projects
 </li>
 <li>
 Writing programs to cleanse and integrate data in an efficient and reusable manner
 </li>
 <li>
 Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
 </li>
 <li>
 Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
 </li>
 <li>
 Evaluating modelling results and communicating the results to technical and non-technical audiences.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Create technical documentation, white papers, and best practice guides
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
 </li>
 <li>
 Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms
 </li>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Experience in python and pyspark will be added advantage
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

Zensar Technologies

<div>
 
 
 MLOps / ML Architect &ndash;
 
 
 
 
 
 
 Location : Bangalore/Hyderabad/Pune
 
 
 Notice Period: Immediate / 20 Days
 
 
 Work mode: Hybrid
 
 
 
 
 <ul>
 <li>
 14 &ndash; 16 years of total experience, 3 &ndash; 5 years of relevant experience on Sagemaker AI
 </li>
 <li>
 Hands on experience of the following &ndash;
 </li>
 <li>
 Structure a ML system (batch, real-time, or LLM) as modular ML pipelines that can be independently developed, tested, and operated
 </li>
 <li>
 Ensure the consistency of feature data between offline training and online operations
 </li>
 <li>
 Govern data in a feature store and promote collaboration between teams with a feature store
 </li>
 <li>
 Implement MLOps principles of automated testing, versioning, and monitoring of features and models.
 </li>
 <li>
 The modeling skills required for ML:
 </li>
 <li>
 How to train ML models from (time-series) tabular data in a feature store
 </li>
 <li>
 How to personalize LLMs using fine-tuning and RAG
 </li>
 <li>
 How to validate models using evaluation data from a feature store
 </li>
 <li>
 Identify and develop reusable model-independent features
 </li>
 <li>
 Identify and develop model-dependent features
 </li>
 <li>
 Identify and develop on-demand (real-time) features
 </li>
 <li>
 validate feature data, test feature functions and test ML pipelines
 </li>
 <li>
 Schedule feature pipelines and batch inference pipelines
 </li>
 <li>
 Deploy real-time models, connected to a feature store
 </li>
 <li>
 Log and monitor features and models with a feature store
 </li>
 <li>
 Develop user-interfaces to ML systems
 </li>
 </ul>
 
 
</div>

ML Architect

Explore 47+ Machine learning engineer in Pune this September. Find roles across top companies and apply now to boost your career.

47 machine learning engineer jobs IN Pune

Data Scientist -Senior

Data Scientist

Data Science Consultant

Data Scientist

Lead Data Scientist

Data Scientist-Artificial Intelligence

ML Architect