Implement machine learning models in production and design enterprise GenAI solutions, AI agents, and scalable LLM/ML automation. Build and manage industrialized processing pipelines, MLOps and LLMOps frameworks, and model lifecycle best practices. Integrate Microsoft Copilot Studio and Azure AI services with Power Platform tools, implement RAG and knowledge grounding, support multilingual retrieval, and troubleshoot agents. Gather requirements, estimate work, present technical solutions, and create documentation.
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.
What You'II Be Doing:
- 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
What We're Looking For:
- At least 6+ 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.
We Offer:
- 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.
Similar Jobs
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Oversee private equity fund accounting, including NAV calculations, capital accounts, waterfalls, carried interest, fees, expenses, transactions, valuations, and financial reporting. Review statements, investor packages, audits, tax-related information, and regulatory compliance. Lead and develop fund accounting teams, manage stakeholders, improve controls and processes, and support Investran or Geneva implementations.
Top Skills:
ExcelGenevaIfrsInvestranLux GaapUs Gaap
Events • Food • Travel • Hospitality • Hotels & Resorts
Provides friendly, efficient service across hotel dining outlets by welcoming guests, taking orders, serving food and beverages, handling requests, maintaining outlet readiness, promoting menu items, and following food safety and hygiene standards. Collaborates with kitchen and service teams, supports setup and cleanup, processes orders accurately, minimizes waste, and participates in training. Requires flexibility for shifts, weekends, and holidays, plus the ability to stand for extended periods.
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Provides administrative, documentation, coordination, and office operations support for an engineering department. Responsibilities include managing schedules, records, reports, meetings, engineering change documentation, procurement coordination, NPI logistics, KPI tracking, equipment records, onboarding, training, and cross-functional communication. The role also supports AI- and data-driven manufacturing enablement using MES, equipment, yield, analytics, and machine learning data.
Top Skills:
AsanaData AnalyticsDocument Management SystemsIndustry 4.0JIRAMachine LearningMesExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft TeamsMicrosoft WordMs ProjectPythonSharepointSQL
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
