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 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 for complex problem-solving. With our help, our clients overcome their most difficult digital challenges leveraging AI.

We are not just consultants, we are partners in our clients’ success, assisting them with re(gaining) competitive edge by identifying opportunities for differentiation, industry disruption, scalable innovation, and go-to-market strategies that deliver successful outcomes.

At ISHIR, we help bold businesses accelerate innovation through Talent, Speed-to-Market, and AI. We help make an impact by solving real problems using innovation, improved customer experiences and the right technologies.

As an ISHIR employee, you will get the advanced training you need to be successful, and the opportunity to apply it. You must be passionate about technology, crave responsibility, and be eager to apply your knowledge to real business solutions for our startup and enterprise customers. These are the qualities of a person destined for success at ISHIR.

ISHIR attracts a special type of individual—someone who is proactive, thrives on challenges, feeds off success, and looks at moving targets not as obstacles but as opportunities. ISHIR is an exciting place to work. It is imbued with an entrepreneurial spirit and promotes self-reliance, open communication, and collaboration.

• 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 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.
• 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.
• 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.