🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
We are Hiring Senior data Scientist/AI Engineer for Pune. Experience-3 to 6 years Industry-Automotive NP-Immediate Key ResponsibilitiesLead end-to-end Data Science and AI projects from problem definition and data exploration to model development, validation, deployment and monitoring.Design and develop Generative AI and LLM solutions, including RAG, enterprise knowledge assistants, semantic search, document intelligence, AI copilots and intelligent agents.Develop LLM pipelines using prompt engineering, embeddings, vector search, evaluation frameworks, guardrails and orchestration techniques.Build predictive and prescriptive models using structured, semi-structured and unstructured data.Apply Machine Learning, Deep Learning, NLP, Computer Vision and Time-Series Forecasting techniques to automotive and manufacturing use cases.Develop scalable data pipelines and reusable AI components using Python, PySpark/Spark and SQL.Industrialize AI solutions using Palantir Foundry or equivalent cloud and enterprise data platforms.Collaborate with business stakeholders to identify opportunities, conduct proof-of-value initiatives and measure business impact.Implement best practices related to MLOps, LLMOps, DevOps, CI/CD, Git, model governance and Responsible AI.Ensure AI solutions meet requirements for scalability, reliability, security, data quality and maintainability.Mentor junior team members and contribute to knowledge sharing and AI adoption initiatives.Communicate complex technical concepts and AI outcomes effectively to technical and non-technical stakeholders.Required Skills & QualificationsBachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering or a related field.58 years of professional experience in Data Science, Machine Learning, AI Engineering or a related role.Strong programming skills in Python, with hands-on experience in PySpark/Spark and SQL.Strong understanding of Machine Learning algorithms including regression, classification, clustering, Random Forest, XGBoost, SVM and anomaly detection.Hands-on experience with Deep Learning, NLP, Transformers, Embeddings, Computer Vision and Time-Series Modelling.Practical experience in Generative AI, LLMs, Prompt Engineering, RAG and Vector Databases.Experience with frameworks such as Scikit-learn, XGBoost, TensorFlow, Keras, PyTorch and Hugging Face.Experience with LangChain/LlamaIndex, OpenCV or equivalent AI/ML frameworks.Knowledge of SQL/NoSQL databases, feature engineering, data quality and scalable data pipelines.Knowledge of Cloud, Big Data and enterprise data platforms; experience with Palantir Foundry is an advantage.Understanding of MLOps, LLMOps, DevOps, CI/CD and Git/version control.Strong analytical, problem-solving and communication skills.Preferred SkillsExperience in automotive, manufacturing, engineering, product development or industrial environments.Experience developing AI assistants, enterprise search, document intelligence and agentic workflows.Knowledge of automotive/manufacturing data such as Cost, BOM, Product, Quality and Operations data.Understanding of Data Privacy, Cybersecurity, IP Protection and Responsible AI.Experience defining business KPIs, adoption metrics, cost savings and productivity improvements.Experience working in Agile and international cross-functional environments.Key SkillsPrimary Skills: Data Science, Machine Learning, Generative AI, LLM, Python, PySpark, SQL, RAG, NLP, Deep Learning, MLOps, Palantir Foundry. Secondary Skills: Prompt Engineering, Vector Databases, LangChain, LlamaIndex, TensorFlow, PyTorch, Scikit-learn, Computer Vision, Time-Series Forecasting, Cloud, Big Data, CI/CD, LLMOps, AI Agents, Responsible AI, Automotive Analytics. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.