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.