Title: AI/ML Senior Engineer
Location: Greater Noida, Hyderabad, Bengaluru & Pune
Key Skills: AI, TensorFlow, PyTorch, Keras, / Scikit-Learn, Cloud(Azure/AWS/GCP) & NLP
Experience: 7-10 years
Work from Office: Hybrid
Immediate joiners preferrable
We at Coforge seeking for seasoned AI/ML Engineer with deep hands-on experience in Natural Language Processing (NLP) and modern ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn). You will design, build, and deploy NLP solutions at scale on Azure/AWS/GCP, collaborating closely with product, data, and engineering teams to bring ML models into production with measurable business impact.
Key Responsibilities:
- End-to-end model lifecycle: Own data exploration, feature engineering, model development, evaluation, A/B testing, deployment, and monitoring.
- NLP solutioning: Build and optimize systems for text classification, NER, summarization, semantic search, topic modeling, embeddings, sentiment analysis, RAG pipelines, and prompt-engineering for LLMs.
- Modeling & Frameworks: Implement models using TensorFlow/PyTorch/Keras/Scikit-learn; leverage pretrained transformers (e.g., BERT, RoBERTa, T5, Llama-based) and fine-tune as appropriate.
- MLOps & Productionization: Package models for serving (e.g., TorchScript, ONNX), implement CI/CD, automate training/inference pipelines (Airflow/Prefect), and enable observability (drift, latency, accuracy).
- Cloud & Data: Architect scalable data/ML workflows on Azure/AWS/GCP using managed services (e.g., SageMaker, Vertex AI, Azure ML), cloud storage/data lakes, serverless, and container orchestration.
Required Skills & Experience:
- 710 years of professional experience in AI/ML with at least 3+ years focused on NLP.
- Strong in Python and ML frameworks: TensorFlow, PyTorch, Keras, Scikit-learn (expert in at least one deep learning framework).
- Hands-on with transformer architectures, embeddings, vector databases (e.g., FAISS, Pinecone, Milvus), and tokenization (SentencePiece, Hugging Face Tokenizers).
- Experience deploying ML in production on Azure, AWS, or GCP using managed ML platforms (Azure ML / SageMaker / Vertex AI) and containers (Docker, Kubernetes).
- Proficient with Git, CI/CD, and MLOps tooling (MLflow, Weights & Biases, DVC, Kubeflow, Feast).
What we look for:
- Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
- An effective communicator, you'll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organisation.
