Sr. Machine Learning Engineer

Job Description:

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: 5+ 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.