Senior Artificial Intelligence/Machine Learning Engineer

Description :

Key Responsibilities :

- Design, develop, and deploy production-grade ML/AI models

- Lead end-to-end model lifecycle (data preparation, training, validation, deployment)

- Build scalable ML pipelines and MLOps frameworks

- Work with large, complex datasets to extract actionable insights

- Optimize model performance, accuracy, and latency

- Collaborate with product, engineering, and business teams

- Mentor junior ML engineers and review code/models

- Drive best practices for AI governance, model monitoring, and retraining

- Stay updated with latest AI, ML, and Generative AI trends

Required Skills & Experience :

- 5+ years of experience in AI / Machine Learning

- Strong proficiency in Python

- Solid understanding of ML algorithms (Regression, Classification, Clustering, Ensembles)

- Hands-on experience with Deep Learning frameworks (TensorFlow / PyTorch / Keras)

- Experience in data preprocessing, feature engineering, and model evaluation

- Strong SQL skills; exposure to NoSQL databases

- Experience deploying models using REST APIs / microservices

- Working knowledge of cloud platforms (AWS / Azure / GCP)

Preferred / Good to Have :

- Experience with Generative AI & LLMs (OpenAI, Hugging Face, LangChain)

- Knowledge of MLOps tools (MLflow, Kubeflow, Airflow)

- Experience with Docker & Kubernetes

- Hands-on exposure to NLP, Computer Vision, or Recommendation Systems

- CI/CD pipelines for ML deployment

- Cloud or AI certifications