The AI/ML Lead will define and execute the organization’s enterprise AI/ML strategy, turning data into actionable intelligence. They will lead technical design and model development while ensuring scalable, high-quality solutions. This role works closely with IT, data engineering, and business teams to embed AI capabilities into critical workflows and drive measurable impact.
AI/ML Solutions Lead
Gruve
Software Engineering, Data Science
India · Remote
Posted on Dec 8, 2025
About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
Position Summary:
Key Responsibilities:
- Lead the AI/ML roadmap supporting strategic programs such as Copilot, Data Platform, and process automation.
- Design, develop, and deploy machine learning models and predictive solutions in Azure/AWS environments.
- Establish MLOps practices for model lifecycle management and monitoring.
- Partner with data engineers, analysts, and business teams to translate use cases into AI solutions.
- Evaluate and implement emerging AI tools (e.g., Copilot, Generative AI) to enhance productivity and insight generation.
- Mentor junior team members and promote a data-driven culture across functions.
Basic Qualifications:
- A Bachelor’s or Master's in one of: Computer Science or Related filed.
- 8+ years in AI/ML or Data Science, with proven experience delivering production models.
- Strong hands-on expertise in Python, TensorFlow/PyTorch, SQL, and cloud ML platforms (Azure ML, AWS SageMaker).
- Deep understanding of data architecture, pipelines, and governance.
- Excellent collaboration and communication skills; ability to engage technical and business audiences.
- Preferred: experience in life sciences, biotech, or healthcare analytics
Preferred Qualifications:
- Experience leading end-to-end AI/ML solution design, including model deployment, monitoring, and optimization.
- Background in architecting scalable ML systems using MLOps frameworks and best practices.
- Familiarity with LLMs, generative AI techniques, and modern vector database/search technologies.
- Demonstrated ability to drive cross-functional AI initiatives and influence strategic decision-making.
- Experience working in regulated or data-sensitive environments (e.g., life sciences, biotech, or healthcare analytics).
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.