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/Machine Learning Engineer jobs
UN
Unisys

Lead AI/ML Engineer

LocationBangalore, KA, India; Home Based India
Work moderemote
SeniorityLead
Experience8+ yrs
Company size10,000+ people
PostedSep 2, 2026 · 1mo ago
Verified live3h ago
At a glanceSummarised by Seekless from the posting.
Must have13
BS/BE Degree with 8+ years of relevant experience
Strong hands-on experience with Large Language Models (LLMs) and their application in agent-based and autonomous systems
Solid understanding of Agentic AI concepts, including planning, reasoning, and multi-agent collaboration
Solid understanding and hands-on experience agent orchestration frameworks and AI tooling ecosystems (e.g., CrewAI)
Proficiency with Azure AI Services, including Azure OpenAI, Azure AI Doc Intelligence, Translator, etc
Strong understanding of Azure OpenAI GPT models, including capabilities, limitations, prompt engineering, function calling, tool use, and structured outputs
Strong programming skills in Python, with experience integrating AI services, APIs, and data pipelines
Proficiency in back-end development using Python, and/or Golang, with a focus on API-driven architecture
Experience with databases such as PostgreSQL, and familiarity with vector databases
Working knowledge of at least one front-end framework such as React or Angular for UI
Hands-on experience with cloud-native development, containers, and microservices
Demonstrated experience in cluster using Kubernetes, Docker, Helm & platforms like Rancher
Familiarity with UI/UX tooling such as Figma for rapid prototyping and design collaboration
Nice to have1
Cloud certifications (Azure Developer, Azure AI Engineer, or equivalent) are an added advantage
Skills
LLMs
Agentic AI
CrewAI
Azure AI Services
Azure OpenAI
Azure AI Doc Intelligence
Translator
Python
Golang
PostgreSQL
vector databases
React
Angular
Kubernetes
Docker
Helm
Rancher
Figma
What success looks like in this role:
• Works closely with cross-functional project team members to ensure an integrated approach to AI / ML model application.
•
Leading the design and development of Generative AI applications leveraging LLMs, embeddings, vector databases, RAG, and multi-agent frameworks
• Works with AI Engineers, AI experts and associated operations and other technical personnel to deliver end-to-end solutions designed to enhance user experience and deliver superior results.
• Collaborates on the definition of AI / ML model development and application standards.
• Employs creative and leading-edge thinking to reconcile end user requirements with technical feasibility and business viability.
• Collaborates with model builders and recommends architectures to ensure timely and quality service delivery.
• Provides targeted feedback and peer review for AI / ML and allied team members.
• Leverages current understanding of AI / ML and software engineering to transform ideas into specific model, development and product recommendations.
You will be successful in this role if you have:
•
BS/BE Degree with 8+ years of relevant experience.
•
Strong hands-on experience with Large Language Models (LLMs) and their application in agent-based and autonomous systems.
•
Solid understanding of Agentic AI concepts, including planning, reasoning, and multi-agent collaboration.
•
Solid understanding and hands-on experience agent orchestration frameworks and AI tooling ecosystems (e.g., CrewAI).
•
Proficiency with Azure AI Services, including Azure OpenAI, Azure AI Doc Intelligence, Translator, etc
•
Strong understanding of Azure OpenAI GPT models, including capabilities, limitations, prompt engineering, function calling, tool use, and structured outputs.
•
Strong programming skills in Python, with experience integrating AI services, APIs, and data pipelines.
•
Proficiency in back-end development using Python, and/or Golang, with a focus on API-driven architecture.
•
Experience with databases such as PostgreSQL, and familiarity with vector databases.
•
Working knowledge of at least one front-end framework such as React or Angular for UI
•
Hands-on experience with cloud-native development, containers, and microservices.
•
Demonstrated experience in cluster using Kubernetes, Docker, Helm & platforms like Rancher
•
Familiarity with UI/UX tooling such as Figma for rapid prototyping and design collaboration.
•
Cloud certifications (Azure Developer, Azure AI Engineer, or equivalent) are an added advantage.
Legal
Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.
Local employment practices and rights may vary by jurisdiction and are subject to applicable local laws. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers.
If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at [email protected]. US job seekers can find more information about Unisys’ EEO commitment here.
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