AI/ML Engineer
21 hours ago
AI/ML Engineer (Mtech or PhD) – LLMs, RAG, Reinforcement LearningPosition:AI/ML Engineer (Mid-Level)Experience: Does not required Location: Noida, UPEmployment Type: Full-timeStudies : Mtech or PhDAbout the RoleWe are building enterprise-grade AI/ML solutions including SLMs, LLMs, RAG-based knowledge systems, reinforcement learning, and agentic AI, As a Mid-level AI/ML Engineer, you will design, train, and deploy machine learning models, collaborate with our product and engineering teams, and ensure scalable integration of AI models into real-world applications. This role is ideal for someone with a strong hands-on background in NLP, deep learning, and reinforcement learning, who is eager to grow by working on cutting-edge AI projects at scale.Key Responsibilities• Design, train, and fine-tune ML/DL models (with focus on transformers, SLMs, LLMs, and recommender systems).• Implement RAG pipelines using vector databases (Pinecone, Weaviate, FAISS) and frameworks like LangChain or LlamaIndex.• Contribute to LLM fine-tuning using LoRA, QLoRA, and PEFT techniques.• Work on reinforcement learning (RL/RLHF) for optimizing LLM responses.• Build data preprocessing pipelines for structured and unstructured datasets.• Collaborate with backend engineers to expose models as APIs using FastAPI/Flask.• Ensure scalable deployment using Docker, Kubernetes, AWS/GCP/Azure ML services.• Monitor and optimize model performance (latency, accuracy, hallucination rates).• Use MLflow / Weights & Biases for experiment tracking and versioning.• Stay updated with the latest research papers and open-source tools in AI/ML.• Contribute to code reviews, technical documentation, and best practices.Required Skills & Qualifications• Strong in Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).• Solid understanding of NLP and LLM architectures (Transformers, BERT, GPT, LLaMA, Mistral).• Practical experience with vector databases (Pinecone, or FAISS or PgVector).• Basic Knowledge with MLOps tools – Docker, Kubernetes, MLflow, CI/CD.• Basic Knowledge of cloud platforms (AWS Sagemaker, GCP Vertex AI, or Azure ML).• Good grasp of linear algebra, probability, statistics, optimization.• Strong debugging, problem-solving, and analytical skills.• Familiarity with Agile methodologies (Scrum, Jira, Git). Nice-to-Have Skills• Experience with RLHF pipelines.• Open-source contributions in AI/ML.Soft Skills• Strong communication – able to explain AI concepts to technical & non-technical stakeholders.• Collaborative – works well with product, design, and engineering teams.• Growth mindset – eager to learn new AI techniques and experiment.• Accountability – able to deliver end-to-end model pipelines with minimal supervision.• Can works in a team. What We Offer• Work on cutting-edge AI projects with real-world enterprise impact.• Exposure to LLMs, reinforcement learning, and agentic AI.• Collaborative Startup & Service culture with room for fast growth.• Competitive compensation + performance-based incentives.
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