Techila
Techila/Careers/Senior Machine Learning Engineering Lead
Remote12–18 yrsApply by Jun 30, 2026

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

MLOpsGCPVertex AIPythonSQL

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

Work ModeRemote
EmploymentFull-time
Experience12–18 yrs
Openings1
DeadlineJun 30, 2026
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[ 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.

  1. STEP 0130 min

    Screening Call

    Introductory conversation with our talent team to understand your background and motivations.

  2. STEP 0260–90 min

    Technical Round

    Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.

  3. STEP 0345 min

    Culture Fit

    Conversation with practice leadership covering working style, ownership, and how you collaborate.

  4. 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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