AI/ML Engineer
At a glance
Mid-level Machine Learning Engineering role at ISHIR. Remote, India · contract.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Train, adapt and test machine learning models and LLM-based solutions for practical use
- Build AI workflows that handle data intake, preparation, model work, inference, release and monitoring
- Create generative AI products using LLMs, retrieval-augmented generation, embeddings and vector databases
- Tune deployed models for accuracy, response time, scale and cost, adding evaluation and safeguards
- Apply MLOps practices such as model tracking, automated deployment and lifecycle oversight
What you bring
- You have three to six years in machine learning engineering or a related technical role
- You are proficient in Python and have hands-on experience delivering generative AI and LLM applications
- You have built production ML pipelines and understand RAG, embeddings, vector databases and semantic search
- You have used a cloud ML platform and understand model versioning and CI/CD for ML work
Who this fits
This is a remote contractor role for someone based in India. You’ll suit the work if you can carry AI and ML projects from prototypes into production and collaborate with architects, data scientists and engineering teams.
From the employer
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.