AI / ML Engineer – Transformers & Multi‑Agent Systems

About the job

AI / ML Engineer – Transformers & Multi‑Agent Systems Experience : 2–12 Years Location : Remote Mode of Engagement : Full-time No. of Positions : 4 Educational Qualification : B.E. / B.Tech / M.E. / M.Tech in Computer Science, AI / ML, or related field Industry : IT – AI / ML Services Notice Period : Immediate Joiner What We Are Looking For : • 2–12 years of experience in AI / ML with strong hands-on expertise in Transformer-based models. • Proven experience fine-tuning, optimizing, and deploying large transformer models. • Strong Python skills for model training, inference pipelines, APIs, and system integration. • Experience working with multi-agent or collaborative AI systems (planner–executor, supervisor–worker patterns). • Ability to independently own model development, experimentation, and production deployment. Responsibilities : • Design, fine-tune, and deploy Transformer-based models for NLP, information extraction, reasoning, and generation tasks. • Build and manage multi-agent AI systems for task decomposition, orchestration, and decision-making. • Implement efficient inference pipelines with batching, caching, and latency optimization. • Develop production-grade APIs and services using FastAPI / Flask and containerize using Docker. • Collaborate with clients and internal teams to convert business problems into scalable AI solutions. • Monitor model performance, accuracy, and cost; continuously improve system reliability. • Stay up to date with advancements in transformer architectures and agent-based AI systems. Qualifications : • Bachelor’s or Master’s degree in Computer Science, AI / ML, or a related discipline. • 2+ years of experience working with Transformer architectures and deep learning systems. • Hands-on experience with Hugging Face Transformers, PyTorch, TensorFlow, or JAX. • Experience with attention mechanisms, encoder–decoder models, fine-tuning strategies, and embeddings. • Familiarity with multi-agent frameworks, task planners, evaluators, and feedback loops. • Experience with REST APIs, Docker, Git, and cloud deployment (AWS / GCP). • Strong communication skills and ability to explain complex AI concepts to non-technical stakeholders.

Requirements

• Transformer-based models
• Python
• multi-agent AI systems
• deployment

Qualifications

• Bachelor’s or Master’s degree in Computer Science
• AI / ML
• related discipline

Preferred Technologies

• Transformer-based models
• Python
• multi-agent AI systems
• deployment