Machine Learning Engineer_6+yrs

Role - AI/ML Engineer Location - PAN INDIA About The Opportunity Join a fast-growing tech consultancy driving AI innovation for enterprise clients across India. We build and deploy scalable machine learning systems that solve real-world business challenges—from predictive analytics and NLP pipelines to computer vision and recommendation engines. You'll work directly with global brands, deploying production-grade ML models using modern cloud infrastructure and MLOps best practices. Role & Responsibilities Design, develop, and productionize ML models for high-impact business use cases spanning classification, regression, clustering, and deep learning. Build and optimize end-to-end ML pipelines—from data preprocessing and feature engineering to model training, hyperparameter tuning, and inference deployment. Deploy models on cloud platforms (AWS/Azure/GCP) using containerization (Docker/K8s), serverless functions, and CI/CD workflows. Collaborate with data engineers to ensure clean, scalable data pipelines and with product teams to translate business KPIs into ML-driven outcomes. Monitor model performance in production, implement drift detection, retraining workflows, and ML observability dashboards. Mentor junior engineers and contribute to internal AI/ML engineering standards, code reviews, and architecture design sessions. Skills & Qualifications Must-Have Python Scikit-learn TensorFlow PyTorch NumPy Pandas MLflow Amazon SageMaker Preferred ML Ops tools (Kubeflow, Airflow) Model monitoring platforms (Arize, Evidently) Experience with LLM fine-tuning or RAG pipelines Benefits & Culture Highlights Work on high-visibility AI projects for Fortune 500 clients across finance, retail, and healthcare. On-site hybrid model with flexible hours and modern office infrastructure in major Indian metro cities. Access to internal AI upskilling programs, conference sponsorships, and performance-linked bonuses. Skills: ml,machine learning,python