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Cloudthat

Subject Matter Expert - ML/Data

Bengaluru · Mid Level

Expect moderate competitionVerified listingPosted 23d ago

Applicants who checked fit first are 3.1× more likely to hear back

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86Overall
64Skills
97Experience

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What we know about this role

Hiring pulse

HIGH

Cloudthat is actively reviewing profiles and moving candidates through the pipeline right now.

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First 72 hours

Window passed - posted 23d ago

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Reposted role

This role was posted earlier, closed, and has now reopened - the company is accepting candidates again.

First posted Sep 11, 2026

Skills required

6 listed
Machine LearningStatistical ModelingTensorFlowPyTorch (Machine Learning Library)PysparkAmazon Web Services
Machine LearningStatistical ModelingTensorFlowPyTorch (Machine Learning Library)Pyspark

You almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.

Job description

About CloudThat:
At CloudThat, we are driven by our mission to empower professionals and businesses to harness the full potential of cloud technologies. As a leader in cloud training and consulting services in India, our core values guide every decision we make and every customer interaction we have.

Our culture is built on:
  • Proprietorship
  • Process Thinking
  • Relentless Learning
  • Commitment to Client
  • Innovativeness
  • Proactiveness

If these principles resonate with you, we invite you to be a part of our journey.

Role Overview:
As a Subject Matter Expert, you’ll provide deep technical expertise in data and AI domains, Implement and help in designing scalable solutions, and resolve complex issues. The role includes mentoring junior members and driving project delivery through best practices.

Key Responsibilities:
  • Design and validate scalable ML and data architectures
  • Guide implementation and troubleshoot high-complexity issues
  • Mentor junior associates and conduct code reviews
  • Collaborate with stakeholders to translate business problems into AI/ML solutions
  • Research and integrate advanced AI techniques and frameworks

Skills & Qualifications:
  • Deep experience with ML frameworks (TensorFlow, PyTorch, etc.)
  • Strong background in statistics, model training, and fine-tuning
  • Expertise in Spark, PySpark, and scalable data pipelines
  • Prior experience in mentoring and team collaboration
  • AWS Certified - Machine Learning Speciality and Developer Associate
  • Any Bachelor’s degree

Why Work at CloudThat?
  • Work on cutting-edge cloud transformation projects for enterprise clients.
  • Be part of a values-driven organization where Customer Obsession, Ownership, and Trust are central.
  • Enjoy a collaborative, growth-oriented environment where curiosity and innovation are celebrated.
  • Access continuous learning opportunities, mentorship, and sponsored certifications.
  • Contribute to a dynamic company that's thinking big and making a lasting industry impact.

Technical Competencies:
  • Under standing of Advance Data and AI/ML concepts
  • Training Finetuning and Statistical Modeling

Behavioural Competencies:
  • Communication Skills
  • Team Building

Core Value Competencies:
  • Proactiveness
  • Commitment to Client

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All open roles at CloudthatAll Machine Learning Engineer jobs in Bengaluru

Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

No credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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