Data Scientist
Ford Motor Company (company site, opens in a new tab)ChennaiHybridDirect career pageEst. 22–40 LPA
Posted 5h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and develop NLP/LLM/GenAI applications/products specifically for automotive industry use cases.
- Conduct ML experiments including training, inference, deployment and monitoring of transformer-based models and generative AI models.
- Deploy NLP applications using Docker, Kubernetes, and cloud platforms including API and UI development for scalable AI/ML products.
Minimum Requirements
- Bachelor’s or Master’s Degree in Computer Science, Engineering, Maths or Science.
- Proven experience implementing transformer-based NLP models (BERT or similar) from data preparation to deployment.
- Proficiency in Python ecosystem including DL frameworks (TensorFlow, PyTorch), NLP libraries (Huggingface, SpaCy, farm-haystack), and Python project management tools (Docker, pipenv, Git).
- Experience with cloud services (GCP BigQuery, VertexAI), container orchestration (Kubernetes, Helm), CI/CD, and infrastructure as code (Terraform).
Ideal Candidate Profile
- Experienced in full lifecycle development of large-scale generative AI models and conversational agents including GPT and other open-source LLMs.
- Strong background in distributed computing and scalable data engineering techniques using Spark, Dask, RapidsAI for ML workflows.
- Capable of integrating multimodal AI functionalities (text, image, audio) and delivering modular, compliant AI solutions with advanced deployment and monitoring expertise.