We are looking for a highly skilled Machine Learning Engineer with deep expertise in Generative AI, scalable model development, and AI-driven solutions. The ideal candidate will have strong experience in building production-grade ML/DL systems, working on recommendation engines, safety models, forecasting systems, and large-scale AI applications.
Key Responsibilities
Scalable AI Development: Design, train, and deploy large-scale ML/DL models for real-world applications.
Generative AI Solutions: Build and integrate GenAI models for content generation, personalization, and automation.
Model Optimization: Ensure low-latency inference and cost efficiency for high-traffic environments.
Data Processing & Analytics: Work with structured/unstructured data using SQL, Spark, and distributed computing frameworks.
ML Pipeline Automation: Deploy CI/CD workflows using Kubernetes, Jenkins, and Prometheus for monitoring and scaling.
Domain-Specific AI: Develop solutions in recommendation, safety, forecasting, and related areas.
Collaborate with cross-functional teams to integrate AI into products and services.
Must-Have Skills
Programming & Analytics: Python, ML, AI, DL, Statistics
Frameworks: TensorFlow, PyTorch, MLlib
Data Processing: SQL, Spark
MLOps & Deployment: Kubernetes, Jenkins, Prometheus
Experience Areas: Recommendation systems, safety models, forecasting, anomaly detection
Good to Have
Experience with RAG pipelines and LLM fine-tuning
Cloud AI services (AWS, GCP, Azure)
Knowledge of Reinforcement Learning
Familiarity with vector databases and search/indexing systems
Job Type: Full-time
Pay: ₹479,921.89 - ₹1,768,032.28 per year
Work Location: In person