Senior Machine Learning Engineering Lead
Join Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.
Experience
12–18 yrs
Employment Type
Full-time
Openings
1 position
Apply By
Jun 30, 2026
Required Skills
Job Description
Senior Machine Learning Engineering lead Mumbai, Pune · Full-time · Remote
About the Role We are looking for a senior Machine Learning Engineering leader with strong expertise in MLOps, GCP, Vertex AI, Python, and SQL, coupled with the ability to lead teams and drive enterprise-scale AI/ML initiatives. The role requires a strong technical background and leadership experience to guide the team and drive MLOPs projects. The ideal candidate will have a deep understanding of Machine Learning, MLOps, and AI engineering.
Key Responsibilities
- Lead teams and drive enterprise-scale AI/ML initiatives
- Technically guide the team and drive MLOPs projects
- Build and manage end-to-end ML pipelines on GCP, especially Vertex AI
- Deploy, monitor, retrain, and run models in production at scale
- Implement CI/CD, orchestration, and automation for ML engineering
- Set standards and frameworks for scalable AI/ML solutions
- Mentor others and drive scalable AI/ML solutions across projects
- Drive production ML engineering and automation
Requirements
- Have 12-18 years of total experience
- Possess strong overall experience with relevant depth in Machine Learning / MLOps / AI engineering
- Have hands-on MLOps experience on GCP / Vertex AI
- Have experience building and managing end-to-end ML pipelines on GCP
- Have worked on deployment, monitoring, retraining, CI/CD, orchestration, and running models in production at scale
- Have leadership experience and ability to lead teams
- Have experience with MLOps, GCP, Vertex AI, Python, and SQL
What We Offer
- Flexible location, with option for remote work for exceptional candidates outside Maharashtra
- Opportunity to work on enterprise-scale AI/ML initiatives
- Chance to lead and mentor a team of ML engineers
At a Glance
[ Hiring process ]
What to expect
Four stages, typically completed within 2–3 weeks. We respect your time — every stage has a clear purpose and timely feedback.
- STEP 0130 min
Screening Call
Introductory conversation with our talent team to understand your background and motivations.
- STEP 0260–90 min
Technical Round
Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.
- STEP 0345 min
Culture Fit
Conversation with practice leadership covering working style, ownership, and how you collaborate.
- STEP 04Within 5 days
Offer
Formal offer with full compensation breakdown, start date, and onboarding plan.
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Senior Machine Learning Engineering Lead
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