Department: Talent Acquisition
Employment Type: Full-Time

We are looking for a proactive HR Executive to join our Talent Acquisition team. You will manage recruitment processes and support onboarding and employee engagement initiatives.

Key Responsibilities:

• Handle end-to-end recruitment activities

• Source and screen qualified candidates

• Coordinate interviews and hiring procedures

• Maintain HR documentation and employee records

• Support onboarding and engagement programs

If you are enthusiastic about hiring and building strong teams, this opportunity is for you.

AI/ML Engineer – LLMs, RAG & Reinforcement Learning

Department: AI & Engineering
Employment Type: Full-Time
Experience: Open to qualified candidates
Education: M.Tech or PhD

About the Role

We are building enterprise-grade AI/ML solutions, including Small Language Models (SLMs), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, reinforcement learning pipelines, and agentic AI frameworks.

As an AI/ML Engineer, you will design, train, fine-tune, and deploy advanced machine learning models. You will collaborate closely with product and engineering teams to integrate scalable AI solutions into real-world applications.

This role is ideal for someone with strong hands-on expertise in NLP, deep learning, and reinforcement learning who is excited to work on cutting-edge AI systems at scale.

Key Responsibilities

• Design, train, and fine-tune ML/DL models, focusing on Transformers, SLMs, LLMs, and recommender systems

• Build and implement RAG pipelines using vector databases such as Pinecone, Weaviate, FAISS, or PgVector

• Fine-tune LLMs using LoRA, QLoRA, and PEFT techniques

• Develop reinforcement learning pipelines (including RLHF) to optimize model responses

• Create data preprocessing pipelines for structured and unstructured datasets

• Deploy models as APIs using FastAPI or Flask

• Ensure scalable deployments using Docker, Kubernetes, and cloud ML services (AWS/GCP/Azure)

• Monitor and optimize model performance (latency, accuracy, hallucination rates)

• Use MLflow or Weights & Biases for experiment tracking and model versioning

• Stay updated with the latest AI research and open-source advancements

• Contribute to code reviews, documentation, and engineering best practices

Required Skills & Qualifications

• Strong proficiency 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, FAISS, PgVector, etc.)

• Basic knowledge of MLOps tools (Docker, Kubernetes, MLflow, CI/CD pipelines)

• Familiarity with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML)

• Strong foundation in linear algebra, probability, statistics, and optimization

• Excellent debugging, analytical, and problem-solving skills

• Experience working in Agile environments (Scrum, Jira, Git)

Nice-to-Have

• Experience building RLHF pipelines

• Contributions to open-source AI/ML projects

Soft Skills

• Strong communication skills – able to explain AI concepts to both technical and non-technical stakeholders

• Collaborative mindset – works effectively with product, design, and engineering teams

• Growth-oriented attitude – eager to experiment with new AI techniques

• Ownership and accountability – capable of delivering end-to-end model pipelines

• Strong team player

What We Offer

• Opportunity to work on cutting-edge AI projects with real enterprise impact

• Hands-on exposure to LLMs, reinforcement learning, and agentic AI systems

• Fast-growing startup and services environment

• Competitive compensation with performance-based incentives

If you are passionate about building next-generation AI systems and solving real-world challenges at scale, we would love to connect with you.

Tagged as: AI/ML Engineer jobs in Noida, Full Time