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: OpenExperience: 8+ Years️ Tech Stack: Python, SQL, PyTorch, TensorFlow, LangChain, AWS, NLP, RAG, Vector Databases, Kafka, Spark, HadoopKey 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 MLOpsRequired 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 practicesIf you are passionate about building scalable and ethical AI systems that create real business impact, we’d love to connect with you.