AI/ML Engineer- ML02

24 hours ago

Noida, Uttar Pradesh, India TecOrb Technologies Full time ₹ 10,00,000 - ₹ 25,00,000 per year

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AI/ML Engineer- ML02
Job Description

AI/ML Engineer – LLMs, RAG, Reinforcement Learning

Experience: Not required

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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