We are looking for an experienced Sr. Machine Learning Engineer to lead the development of cutting-edge Generative AI applications and scalable AI platforms. This is a high-impact technical leadership role for professionals passionate about LLMs, NLP, deep learning, and production-grade AI systems.
Location: Open
Experience: 8+ Years
️ Tech Stack: Python, SQL, PyTorch, TensorFlow, LangChain, AWS, NLP, RAG, Vector Databases, Kafka, Spark, Hadoop
Key Responsibilities:
• Architect, build, and scale GenAI applications and AI platforms
• Develop ML pipelines, deploy NLP/deep learning models, and optimize performance using LoRA/QLoRA
• Build reusable frameworks for deployment, monitoring, tracing, and alerting
• Implement AI guardrails, compliance workflows, and production rollout strategies
• Work on advanced GenAI workflows including RAG, model chaining, dynamic prompting, PEFT/SFT
• Collaborate with Data Scientists, Product Managers, and Engineers to deliver impactful AI solutions
• Mentor teams and drive best practices in ML engineering and MLOps
Required Skills:
Strong experience with Python, SQL, and cloud platforms (AWS)
Expertise in PyTorch, TensorFlow, GPU optimization, and production ML systems
Hands-on experience with LangChain, vector databases, embeddings, and semantic search
Deep understanding of Transformers, Self-Attention, and LLM fundamentals
Experience with big data tools such as Spark, Hadoop, and Kafka
Strong knowledge of CI/CD, testing automation, monitoring, and software engineering best practices
If you are passionate about building scalable and ethical AI systems that create real business impact, we'd love to connect with you.