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ML Engineer – GenAI

3 weeks ago

Bengaluru, Karnataka, India Programming Full time

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, ₹1,768,032.28 per year

Work Location: In person