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NVIDIA

<div>
 NVIDIA is seeking passionate AI engineers to drive innovation in mapping for Autonomous Vehicles. End-to-end models are the future of Autonomous Driving, and maps provide a prior to these models. Your work will help shape the intelligence behind the next generation of self-driving vehicles.
 
 
 In this role, you will build state-of-the-art AI algorithms, focusing on Large Language Models (LLMs), Visual Language Models (VLMs), and graph-based deep learning. Hands-on expertise in generative AI frameworks and transformer-based models is key, with strong emphasis on applying this research to real-world mapping and navigation. Are you ready to challenge yourself to push boundaries of routing and navigation systems for self-driving cars? If yes, please come join us!
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 Research, and develop transformer based models tailored for graphs
 </li>
 <li>
 Implement evaluation frameworks to measure performance of large scale LLM&rsquo;s
 </li>
 <li>
 Design and develop algorithms for map-based driving products
 </li>
 <li>
 Analyze and fine-tune SOTA pretrained models on domain specific datasets
 </li>
 <li>
 Implement visualization tools for graph mining for navigation maps
 </li>
 <li>
 Integrate graph-structured data with for foundation generative AI models
 
 
 </li>
 </ul>
 
 What We Need To See
 
 
 
 <ul>
 <li>
 PhD/Master&rsquo;s degree in Computer Science, AI, Applied Math, or related field with 3+ years of industry/research experience
 </li>
 <li>
 Strong mathematical fundamentals and AI/DL algorithms skills or experience
 </li>
 <li>
 Experience with AI/DL Frameworks (PyTorch, Tensorflow, TensorRT etc.)
 </li>
 <li>
 Proven skills in programming, debugging, performance analysis, test design, and documentation
 
 
 </li>
 </ul>
 
 Ways To Stand Out From The Crowd
 
 
 
 <ul>
 <li>
 Familiarity with any navigation maps such as NDS.Live, Open Street Maps (OSM) etc.
 </li>
 <li>
 Hands-on experience with Generative AI techniques applied to LLMs and multimodal variants (Image, Video, Speech etc.)
 </li>
 <li>
 Exposure to large scale graph optimizations for AI-training
 </li>
 <li>
 Published work for international relevant conferences (CVPR, NeurIPS, ICRA, etc).
 
 
 </li>
 </ul>
 We believe that realizing self-driving vehicles will be a defining contribution of our generation. We have the scale, resources, and mission, but we need visionary engineers like you to make it happen. Join us and help achieve self-driving reality for everyone!
 
 
 JR2003652
 
 
</div>

Software Engineer, AI Mapping - Autonomous Vehicles

LTIMindtree

<div>
 
 Role Description
 
 
 
 Job Description
 
 
 Design and implement LLMbased applications using frameworks like LangChain
 
 
 Develop RAG pipelines integrating vector databases eg FAISS Pinecone Weaviate for knowledge retrieval
 
 
 Finetune and optimize pretrained LLMs OpenAI Hugging Face etc for domainspecific tasks
 
 
 Build prompt engineering strategies for effective model interaction
 
 
 Integrate AI solutions into enterprise systems using Python and APIs
 
 
 Ensure scalability performance and security of AI applications
 
 
 Stay updated with the latest advancements in Generative AI and NLP
 
 
 
 Required Qualifications
 
 
 
 BachelorsMasters in Computer Science AI or related field
 
 
 Strong experience in Python and AIML frameworks PyTorch TensorFlow
 
 
 Handson experience with LangChain and RAG architecture
 
 
 Familiarity with vector databases and embedding models
 
 
 Knowledge of cloud platforms AWS Azure GCP for AI deployment
 
 
 Excellent problemsolving and communication skills
 
 
 
 Preferred Skills
 
 
 
 Experience with OpenAI API Hugging Face Transformers or similar LLM platforms
 
 
 Understanding of MLOps and model deployment pipelines
 
 
 Familiarity with data privacy and compliance in AI systems
 
 
 
 Skills
 
 
 
 
 Mandatory Skills :
 
 MLOPS,GenAI - LLMOps,Python - Data Science,Machine Learning - AIOPS,Deep Learning - AIOPS
</div>

Specialist - Data Sciences

<div>
 
 Job Reference #
 
 
 318002BR
 
 
 
 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.
</div>

Data Scientist

UsefulBI Corporation

<div>
 
 The core responsibilities for the job include the following:
 
 
 
 
 
 
 Machine Learning and Data Analysis:
 
 
 <ul>
 <li>
 Assist in developing ML models for tasks like classification, regression, clustering, and recommendation.
 </li>
 <li>
 Perform data preprocessing, cleaning, and exploratory analysis.
 </li>
 <li>
 Support feature engineering and model evaluation under the guidance of senior team members.
 </li>
 </ul>
 
 
 
 
 
 Generative AI and NLP:
 
 
 <ul>
 <li>
 Learn and experiment with LLMs and GenAI frameworks (e. g., OpenAI, Hugging Face, LangChain).
 </li>
 <li>
 Apply basic NLP techniques (tokenization, text classification, sentiment analysis, entity recognition).
 </li>
 <li>
 Support the development of AI-powered applications like summarizers, Q&amp; A bots, or report generators.
 </li>
 </ul>
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 5+ years of overall experience (
 
 internships, projects and
 
 2+ YOE in GenAI
 
 ).
 </li>
 <li>
 Proficiency in Python and key libraries (Pandas, NumPy, Scikit-learn).
 </li>
 <li>
 Basic understanding of statistics, probability, and ML algorithms.
 </li>
 <li>
 Exposure to NLP libraries (NLTK, spaCy, Hugging Face) is a plus.
 </li>
 <li>
 Familiarity with GenAI concepts (prompt engineering, fine-tuning) is an advantage.
 </li>
 <li>
 Knowledge of SQL (and basic NoSQL) databases.
 </li>
 <li>
 Exposure to cloud platforms (AWS, GCP, Azure) is desirable.
 </li>
 <li>
 Strong problem-solving mindset and eagerness to learn.
 </li>
 <li>
 Good communication skills and the ability to collaborate in a team.
 </li>
 </ul>
 
 
</div>

Birlasoft

<div>
 
 Data Scientist experience (8 to 10 years)
 
 
 
 
 <ul>
 <li>
 5 years of relevant work experience as a data scientist
 </li>
 <li>
 Experience designing and building statistical forecasting models.
 </li>
 <li>
 Experience in Python, PySpark, Azure Machine Learning, OpenAI and SQL
 </li>
 <li>
 Minimum 2 years of experience in Azure Cloud using Natural Language API, MLflow
 </li>
 <li>
 Hands-on experience with LLMs and GenAI frameworks
 </li>
 <li>
 Experience designing and building machine learning models.
 </li>
 <li>
 Experience designing and building optimization models., including expertise with statistical data analysis
 </li>
 <li>
 Lead the end-to-end development of AI/ML solutions, from problem definition to production deployment.
 </li>
 <li>
 Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, Scikit-learn.
 </li>
 <li>
 Effective written and verbal communication skills
 </li>
 </ul>
 
 
 
 
 Mandatory: Skillset: Python, PySpark, Azure Machine Learning, OpenAI
 
 
 Good to have : Azure Databricks
 
</div>

Rockwell Automation

<div>
 Rockwell Automation is a global technology leader focused on helping the world&rsquo;s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.
 
 
 We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that&rsquo;s you we would love to have you join us!
 
 
 
 Job Description
 
 
 
 
 Job Title: Analyst - Data Science
 
 
 
 
 Location
 
 :Pune,India
 
 
 
 Job Summary
 
 
 
 We are seeking a
 
 Data Science Analyst
 
 to engineer and develop advanced analytics solutions. You will have
 
 2
 
 
 or more years of experience
 
 and specialization in applying data science techniques to real-world business problems across industries such as healthcare, retail, manufacturing, or technology.
 
 
 You will be based in Balewadi, Pune and will work in hybrid. You will report to the Manager, Software Engineering.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Client Engagement &amp; Delivery
 </li>
 <ul>
 <li>
 Understand client business challenges and propose end-to-end AI/ML/data science solutions.
 </li>
 <li>
 Lead client-facing engagements, presenting analytical findings and business recommendations.
 </li>
 <li>
 Translate business requirements into technical deliverables and measurable outcomes.
 </li>
 </ul>
 <li>
 Technical Expertise
 </li>
 <ul>
 <li>
 Develop predictive models, optimization algorithms, and statistical analyses.
 </li>
 <li>
 Data preparation, feature engineering, model selection, validation, and deployment.
 </li>
 <li>
 Use tools like Python, R, SQL, Spark, or cloud ML services (AWS/GCP/Azure).
 
 </li>
 </ul>
 </ul>
 
 The Essentials - You Will Have
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related fields.
 </li>
 <li>
 2+ years of relevant experience in data science, machine learning, or AI roles.
 </li>
 <li>
 Strong foundation in statistics, ML algorithms, NLP, deep learning, or operations research.
 </li>
 <li>
 Hands-on expertise with Python (scikit-learn, pandas, numpy), R, SQL, and data visualization tools.
 </li>
 <li>
 Experience working with big data frameworks like Spark, Hadoop, or cloud-native tools.
 </li>
 <li>
 Proficiency in deploying models into production environments (MLOps is recommended).
 </li>
 <li>
 Excellent communication, presentation, and consulting skills.
 </li>
 <li>
 Experience in solving complex business problems with data.
 
 
 </li>
 </ul>
 
 Also Good To Have
 
 
 
 <ul>
 <li>
 Exposure to multiple domains (e.g., manufacturing, supply chain, healthcare).
 </li>
 <li>
 Experience with BI tools like Power BI, Tableau, Grafana etc
 </li>
 <li>
 Knowledge of generative AI, LLMs, or recent advancements in deep learning.
 </li>
 <li>
 Project management or consulting experience with top-tier firms.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 Our benefits package includes &hellip;
 
 
 <ul>
 <li>
 Comprehensive mindfulness programs with a premium membership to Calm
 </li>
 <li>
 Volunteer Paid Time off available after 6 months of employment for eligible employees
 </li>
 <li>
 Company volunteer and donation matching program &ndash; Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation.
 </li>
 <li>
 Employee Assistance Program
 </li>
 <li>
 Personalized wellbeing programs through our OnTrack program
 </li>
 <li>
 On-demand digital course library for professional development
 </li>
 <li>
 and other local benefits!
 
 
 </li>
 </ul>
 #Hybrid
 
 
 Rockwell Automation&rsquo;s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.
 
 
</div>

Data Science Analyst

<div>
 
 Job Reference #
 
 
 323151BR
 
 
 
 Job Type
 
 
 Full Time
 
 
 
 Your role
 
 
 Do you have a knack for technology? Are you at your best when working in one of multiple small agile teams but supporting them in parallel?
 
 
 We&rsquo;re looking for a Senior Software Engineer to:
 
 
 <ul>
 <li>
 design and develop strategic Code Profiling and Conversion applications in an exciting and high-profile environment
 </li>
 <li>
 be involved in the entire Software Development Lifecycle, working closely with partners from business and technology around the globe
 </li>
 <li>
 collaborate with your peers to shape the future architecture of our Code profiling and Conversion applications
 </li>
 <li>
 own the delivery of features and initiatives
 </li>
 <li>
 write clean, efficient and maintainable code in Python
 </li>
 <li>
 perform code reviews to ensure code quality and adherence to coding standards.
 </li>
 <li>
 mentor other engineers to grow their engineering skills towards best practices and engineering excellence
 
 
 </li>
 </ul>
 
 Your team
 
 
 You&rsquo;ll be working in the Application Profiling and Conversion POD of the Application Refactoring Crew, as part of the Technology division in Zurich. We deliver software that enables application migrations towards strategic platforms across the bank. This benefits our Lines of Businesses with IT Solutions running on the latest versions of technology.
 
 
 As a Senior Software Engineer, you&rsquo;ll play an important role in driving the change and fostering continuous improvements.
 
 
 Our global team is fully of cultural diversity, this is a key assets of getting different and jointly work to get
 
 
 
 Your expertise
 
 
 
 <ul>
 <li>
 proven track record of building critical, distributed systems in Python
 </li>
 <li>
 solid experience with distributed tasks as well as technologies like Flask, Django, Celery, Liquibase, Pytest, Git/GitLab, Docker
 </li>
 <li>
 good compilers domain knowledge, code parsers and basic experience in Java
 </li>
 <li>
 practical experience with Azure solutions like PostgreSQL, Redis Cache, NoSQL DBs, OpenAI, Data Lakes
 </li>
 <li>
 strong communication and interpersonal skills in a multi-cultural environment
 </li>
 <li>
 proven usage of AI tools to accelerate development
 </li>
 <li>
 experience with LLMs and RAGs is a nice-to-have
 </li>
 <li>
 experience in Frontend development in React/TS is an additional nice-to-have
 
 
 </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.
</div>

Software Engineer

Explore 54+ Ai engineer in Pune this October. Find roles across top companies and apply now to boost your career.

54 ai engineer jobs IN Pune

Software Engineer, AI Mapping - Autonomous Vehicles

Specialist - Data Sciences

Data Scientist

Data Scientist

Data Scientist

Data Science Analyst

Software Engineer