27 days ago
Remote, IndiaMid Level / Senior
Responsibilities
- Design, develop, train, fine-tune, and evaluate machine learning and LLM-based solutions.
- Build and maintain end-to-end ML/AI pipelines for data ingestion, processing, model development, inference, deployment, and monitoring.
- Develop Generative AI applications, including LLM-powered solutions and RAG-based systems.
- Apply prompt engineering, context engineering, and LLM fine-tuning to improve model performance and reliability.
- Design solutions using embeddings, vector databases, semantic search, and RAG architectures.
- Optimize AI/ML systems for accuracy, latency, scalability, and cost efficiency.
- Implement model evaluation, guardrails, observability, and production monitoring.
- Follow MLOps practices including model versioning, deployment automation, CI/CD, and model lifecycle management.
- Collaborate with solution architects, data scientists, and engineering teams to translate business requirements into scalable solutions.
Requirements
- 3–6 years of hands-on experience in Machine Learning Engineering or a closely related role.
- Strong proficiency in Python.
- Experience with PyTorch, TensorFlow, and scikit-learn.
- Hands-on experience with Generative AI and LLM-based applications, including LLM fine-tuning, prompt engineering, and context engineering.
- Strong understanding of RAG architectures, embeddings, vector databases, and semantic search.
- Experience building and deploying production-grade ML/AI pipelines.
- Working knowledge of MLOps, model versioning, and CI/CD for machine learning workloads.
- Experience with at least one of AWS SageMaker, Azure Machine Learning, or Google Cloud Vertex AI.
- Strong understanding of model evaluation, performance optimization, and production monitoring.
- Experience in regulated or highly sensitive domains, multi-agent AI systems, LLM evaluation, AI observability, Docker, Kubernetes, APIs, microservices, or scalable AI application architectures is preferred.
- Strong problem-solving, communication, and cross-functional collaboration skills.
Benefits
- Remote/offshore work arrangement based in India.
- Advanced training and opportunities to apply skills to real-world startup and enterprise customer solutions.
- Opportunity to work on complex AI and digital innovation challenges in a collaborative, entrepreneurial environment.