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

We at Coforge are hiring AI/ML Senior Engineers with the following skillset:

Key Responsibilities:

Own data exploration, feature engineering, model development, evaluation, A/B testing, deployment, and monitoring.
Build and optimize systems for text classification, NER, summarization, semantic search, topic modeling, embeddings, sentiment analysis, RAG pipelines, and prompt-engineering for LLMs.
Implement models using TensorFlow/PyTorch/Keras/Scikit-learn; leverage pretrained transformers (e.g., BERT, RoBERTa, T5, Llama-based) and fine-tune as appropriate.
Package models for serving (e.g., TorchScript, ONNX), implement CI/CD, automate training/inference pipelines (Airflow/Prefect), and enable observability (drift, latency, accuracy).
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).

Note - Immediate joiners are preferrable

AI/ML Senior Engineer