Senior AI Engineer (India - Remote)

About CloudLabs: CloudLabs Inc was founded in 2014 with the mission to provide exceptional IT & Business consulting services at a competitive price, to help clients realize the best value from their investments. Within a short span, CloudLabs evolved from pure-play consulting into a transformative partner for Business Acceleration Advisory, Transformative Application Development & Managed Services - enabling digital transformations, M&A transitions, Automation & Process-driven optimizations & complex Integration initiatives for enterprises across the globe. As a Strategic Planning & Implementation Partner for global companies, CloudLabs has seen a 200% uptake in winning high-value, high-impact and high-risk projects that are critical for the business. With offices in the US, Canada, & India and with the team of 250+ experienced specialists, CloudLabs is now at an inflection point and ready for its next curve of progress. Please write & follow us here: Website: : CloudLabs Inc Email us: info@ What we offer: - We welcome candidates rejoining the workforce after career break/parental leave and support their journey to reacclimatize too corporate. - Flexible remote work. - Competitive pay package. - Attractive policy, medical insurance benefits, industry leading training. - Opportunity to work remotely is available. Experience Required: Minimum 6–10+ years of experience in Data Science / AI Engineering. Job Location: India Job Type: Remote Role Summary: We are looking for a Senior AI Engineer to design and deliver enterprise-scale AI and Generative AI solutions using advanced analytics, Machine Learning, and Large Language Models (LLMs). The role involves working with Azure OpenAI, Claude, and cloud-native data platforms to build impactful solutions, primarily in the healthcare domain. You will lead AI initiatives end-to-end and collaborate with global stakeholders to translate business problems into scalable AI applications. Must-Have Skills: - 6–10+ years of experience in Data Science / AI Engineering. - Experience in large enterprise or MNC environments. - Generative AI and RAG architecture expertise. - Prompt engineering and agent orchestration. - EDA, data preparation, and machine learning (Clustering, PCA, Trees). - Python for end-to-end pipelines. - Git-based version control. - Streamlit or Dash application development. - Azure Cognitive Services. - Snowflake or Databricks for scalable data ingestion, transformation, and analytics. - Strong communication and stakeholder management skills. Key Responsibilities: - Lead AI and data science projects from requirement gathering to production deployment. - Perform Exploratory Data Analysis (EDA) and statistical analysis to generate insights. - Build and deploy Generative AI applications using RAG architectures. - Develop document automation and intelligent retrieval pipelines. - Work with LLMs (GPT, Claude, Llama) for enterprise use cases. - Build interactive apps and dashboards using Streamlit or Dash. - Collaborate with cross-functional and global teams. - Maintain production-ready code using Python and Git. - Work on cloud data platforms such as Snowflake or Databricks. Nice-to-Have Skills: - GenAI frameworks: LangChain, LlamaIndex, CrewAI, OpenAI Agents SDK. - NLP use cases such as text classification and sentiment analysis. - ReAct or function-calling agent architectures. - Healthcare, life sciences, or biotech exposure. - Data governance and compliance knowledge. - Data visualization and storytelling experience.

Apply Now