ML/AI Engineer - Careernet

OpenKrill; United States; On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Remote option

Udemy access

Professional certifications

Well-being programs

Job summary

Openkrill is seeking a seasoned AI/ML engineer to collaborate with Data Science teams to bring ML models into production and deliver GenAI solutions. You will design and manage industrialized processing pipelines, apply ML lifecycle best practices, and help scale AI initiatives across the organization.

The role emphasizes ML architecture, MLOps, and integration with Microsoft Copilot Studio, Azure AI Foundry, and Power Platform tools.

Qualifications

• 6+ years of experience with Microsoft Copilot Studio / Azure AI Foundry.
• Strong knowledge of topics, triggers, variables, routing, fallback handling, Generative Answers, RAG, and knowledge grounding.
• Comfort 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.

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, 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

Job description

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'll 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:

• 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.