AI/ML Engineer

1 day ago

Noida, Uttar Pradesh, India TecOrb Technologies - We Believe in Challenges Full time ₹ 8,00,000 - ₹ 24,00,000 per year

AI/ML Engineer (Mtech or PhD) – LLMs, RAG, Reinforcement Learning

Position:
AI/ML Engineer (Mid-Level)

Experience:
Does not required Location: Noida, UP

Employment Type:
Full-time

Studies :
Mtech or PhD

About the Role

We 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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