ML/AI Engineer

IndiaRemoteFull-timemid

Machine Learning EngineerData

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Quick Summary

Key Responsibilities

Working with Data Science teams to implement Machine Learning models into production Design, delivery GenAI solutions Practical and innovative implementations of LLM/ML/AI automation,

Requirements Summary

At least 5+ years of experience in Microsoft Copilot Studio / Azure AI Foundry with hands-on experience in building enterprise AI agents. Strong knowledge of Topics, triggers, variables, routing,

Technical Tools

Machine Learning EngineerData

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

The person we are looking for will become part of Data Science and AI Competency Center working in AI Engineering team.

Responsibilities

~1 min read

→Working with Data Science teams to implement Machine Learning models into production

→Design, delivery GenAI solutions

→Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency

→Design, delivery and management of industrialized processing pipelines

→Defining and implementing best practices in ML models life cycle and ML operations/LLM operations

→Implementing AI /MLOps/LLMOps frameworks and supporting Data Science teams in best practices

→Gathering and applying knowledge on modern techniques, tools and frameworks in the area of ML Architecture and Operations

→Gathering technical requirements & estimating planned work

→Presenting solutions, concepts and results to internal and external clients

→Creating technical documentation

Requirements

~2 min read

At least 5+ years of experience in Microsoft Copilot Studio / Azure AI Foundry with hands-on experience in building enterprise AI agents.

Strong knowledge of Topics, triggers, variables, routing, fallback handling, Generative Answers, RAG, and knowledge grounding is required.

Should be comfortable integrating with Power Automate, SharePoint, Dataverse, Microsoft Teams, Azure AI Search, and Azure OpenAI/Foundry models.

Experience with citations, metadata-based retrieval, multilingual handling, prompt/instruction design, and troubleshooting agent.

Understanding of Power Platform ALM, Azure services, security, environments, and DEV/UAT/PROD deployments would be an advantage.

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
“Office as an option” model. You can choose to work remotely or in the office, depending on your location.
Flexibility regarding working hours and your preferred form of contract.
Comprehensive online onboarding program with a “Buddy” from day 1.
Cooperation with top-tier engineers and experts.
Unlimited access to the Udemy learning platform from day 1.
Certificate training programs. Lingarians earn 500+ technology certificates yearly.
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
Internal Gallup Certified Strengths Coach to support your growth.
Grow as we grow as a company. 76% of our managers are internal promotions.
A diverse, inclusive, and values-driven community.
Autonomy to choose the way you work. We trust your ideas.
Create our community together. Refer your friends to receive bonuses.
Activities to support your well-being and health.
Plenty of opportunities to donate to charities and support the environment.
Modern office equipment. Purchased for you or available to borrow, depending on your location.

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.