CloudLabs Inc
Website:
cloudlabsit.com
Job details:
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: cloudlabsit.com
LinkedIn: CloudLabs Inc
Email us: info@cloudlabsit.com
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.
Click on Apply to know more.