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For Employers

AI/ML Engineer- ML02

Tecorb Technologies - We Believe In Challenges

3 - 4 years

5 - 6 Lacs

noida

Posted:2 hours ago| Platform:

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Skills Required

backend gcp debugging machine learning agile product design scrum open source python technical documentation

Work Mode

Work from Office

Job Type

Full Time

Job Description

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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AI/ML Engineer- ML02