ISHIR

AI/ML Engineer

India

Live, first seen by us 83 days ago

Pay: Pay not listed
Work setting: Remote — work setting source
Job Title: AI/ML Engineer Location: India (Offshore) Experience: 3–6 Years Role Type: Remote / Offshore About the Role
Read the full posting
Employment: Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting

What you’ll work on

Full posting

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.

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.

From the employer’s posting

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.

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.

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.

About ISHIR

At ISHIR, we help bold businesses accelerate innovation through Talent, Speed-to-Market, and AI.

In the employer’s words · Read in context

Apply at ISHIR

Posting record

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Status in our records: Live
First seen by us: Aug 13, 202683 days ago
Recorded sightings: 39
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 83

Up longer than most. Similar jobs usually come down between day 6 and day 69.

From 4,301 similar postings that came down. Coming down is not always a hire.

ISHIR is hiring

1 open job

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Python
AWS
Azure
Docker
Kubernetes
SageMaker
PyTorch
scikit-learn
TensorFlow
GCP

Where the posting names them

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

- 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.

- 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

- Experience with at least one major cloud-based ML platform:- AWS SageMaker - Azure Machine Learning - Google Cloud Vertex AI

- 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 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.

- Azure Machine Learning - Google Cloud Vertex AI - Strong understanding of model evaluation, performance optimization, and production monitoring.

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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 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.

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