AI/ML Engineer
Location
Experience
Role Type
About the Role
AI/ML Engineer
Python, machine learning, deep learning, LLMs, RAG, and MLOps
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.
Originally posted on Himalayas
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