Experience:

• 9+ years of overall experience in Data, AI, and Automation domains
• 4+ years of experience in AI/ML implementation
• 2+ years of hands-on experience in automation implementation
• Proven experience delivering at least 2–3 end-to-end AI/ML and/or Automation initiatives independently

Qualification:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field

Responsibilities:

• Design and implement advanced AI/ML and Generative AI solutions for enterprise use cases
• Lead end-to-end AI/ML solution development from ideation through deployment and scaling
• Design and implement Retrieval-Augmented Generation (RAG) solutions including ingestion, embeddings, retrieval, and response generation
• Identify and implement automation opportunities using RPA and workflow automation tools
• Develop automation solutions using UiPath, Automation Anywhere, Blue Prism, and Power Automate
• Integrate AI and automation solutions with enterprise applications, APIs, and data platforms
• Collaborate with stakeholders to understand business requirements and translate them into scalable technical solutions
• Ensure scalability, performance, and reliability of AI and automation systems
• Drive innovation through adoption of emerging technologies including IoT and digital twins

Additional responsibilities:

• Strong problem-solving, analytical, and stakeholder communication skills
• Ability to work independently with business stakeholders

Nice to have:

• Experience with Databricks, Dataiku, or vector databases
• Knowledge of data platform engineering including Databricks Lakehouse, S3 or equivalent storage, and scalable pipelines
• Exposure to IoT and digital twin technologies
• Certifications in AI, Automation, and/or Cloud (AWS/Azure)
• Experience in GxP or Quality processes
• Familiarity with Agile and Scrum methodologies

More skills:

AI/ML, Retrieval-Augmented Generation (RAG), LLM-based solutions, RPA tools, Cloud-native architecture, Kubernetes (EKS/AKS), CI/CD tools, GitHub Actions, Azure DevOps, Jenkins, Modern data architectures, Lakehouse, Streaming, Data governance, Security, access control, and compliance frameworks

Other:

• Opportunity to work on cutting-edge AI and automation initiatives
• Build enterprise-scale intelligent solutions
• Collaborative and innovation-driven environment
• Strong career growth opportunities
• Standard work schedule (Mon-Fri)
• Office environmental conditions