AI/ML Engineer

Job Title: AI/ML Engineer

Location: India (Offshore)
Experience: 3–6 Years
Role Type: Remote / Offshore

About the Role

We are looking for a hands-on AI/ML Engineer to design, develop, and productionize machine learning and Generative AI solutions for real-world business use cases.

The ideal candidate should have strong experience in Python, machine learning, deep learning, LLMs, RAG, and MLOps , along with recent hands-on experience delivering Generative AI solutions in production environments.

Key Responsibilities

- Design, develop, train, fine-tune, and evaluate machine learning and LLM-based solutions .

- Build and maintain end-to-end ML/AI pipelines, covering data ingestion, processing, model development, inference, deployment, and monitoring .

- Develop and implement Generative AI applications , including LLM-powered solutions and RAG-based systems.

- Apply prompt engineering, context engineering, and LLM fine-tuning techniques to improve model performance and reliability.

- Design and implement solutions using vector databases, embeddings, and retrieval-augmented generation (RAG) architectures.

- Collaborate with Solution Architects, Data Scientists, and engineering teams to translate business requirements into scalable AI/ML solutions.

- Optimize models and AI applications for accuracy, latency, scalability, and cost efficiency .

- Implement model evaluation, guardrails, observability, and monitoring for production AI/ML systems.

- Follow MLOps best practices, including model versioning, CI/CD, deployment automation, and model lifecycle management .

- Stay current with emerging developments in Generative AI, LLMs, AI engineering, and machine learning technologies .

Required Skills & Experience

-
3–6 years of hands-on experience in Machine Learning Engineering or a closely related role.

- Strong proficiency in Python .

- Experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, and scikit-learn .

- Hands-on experience with Generative AI and LLM-based applications .

- Experience with LLM fine-tuning, prompt engineering, and context engineering .

- Strong understanding of RAG architectures, embeddings, vector databases, and semantic search .

- Experience building and deploying production-grade ML/AI pipelines .

- Working knowledge of MLOps practices , including model versioning and CI/CD for machine learning workloads.

- Experience with at least one major cloud-based ML platform:
- AWS SageMaker

- Azure Machine Learning

- Google Cloud Vertex AI

- Strong understanding of model evaluation, performance optimization, and production monitoring.

- Ability to work collaboratively with cross-functional technical teams and translate business requirements into practical AI/ML solutions.

Nice to Have

- Experience working on AI/ML solutions in regulated or highly sensitive domains , such as healthcare or government technology.

- Experience with multi-agent AI systems and orchestration frameworks .

- Experience with LLM evaluation frameworks and AI observability tools.

- Familiarity with containerization and cloud-native technologies such as Docker and Kubernetes .

- Experience working with APIs, microservices, and scalable AI application architectures.

What We’re Looking For

- Strong hands-on engineering mindset with the ability to take AI/ML solutions from prototype to production .

- Practical experience solving real-world problems using Machine Learning and Generative AI .

- Ability to evaluate different models and approaches based on accuracy, performance, scalability, and cost .

- Strong problem-solving and communication skills.

- Ability to work effectively in a fast-paced, collaborative environment.

About ISHIR

ISHIR is a digital innovation and enterprise AI services provider. We work with startups and enterprises to shape the future through accelerated innovation, deep technical expertise, access to global digital talent and a passion fo