AI & ML at Gemba Concepts · Bengaluru (Bangalore) · 2 - 3 years · ₹20L - ₹25L / yr · Bootstrapped · Posted 1 Sep 2026
Machine Learning (ML)
Python
KubernetesGEMBA CONCEPTS
Experience: ~3–5 years Type: Full-time
AI/ML Engineer
Location: Bengaluru, India (Hybrid)
About Gemba Concepts
Gemba Concepts is a lean manufacturing and technology consulting firm helping clients across pharma, manufacturing, and logistics
modernize how they operate. We build production systems that sit close to the shop floor — warehouse management, manufacturing
traceability, and an applied AI/ML platform whose flagship use cases are visual quality inspection and predictive maintenance. We’re a
tight engineering team that ships real systems for demanding, often regulated, environments.
The Role
We’re looking for an AI/ML Engineer to take ML capabilities from prototype to production. You’ll own models end-to-end — framing the
problem with stakeholders, building and validating the model, and deploying it as a reliable service that holds up against real-world, messy
industrial data. This is a hands-on building role, not a pure research seat: your work goes into client-facing systems.
What You’ll Do
Build and ship computer vision models for visual quality inspection (defect detection, classification, segmentation) that perform under
real factory lighting, throughput, and edge-case conditions.
Develop predictive maintenance models using sensor/time-series data — anomaly detection, remaining-useful-life estimation, failure
prediction.
Own the full ML lifecycle: data pipelines, feature engineering, training, evaluation, and deployment, with proper versioning and monitoring.
Deploy and serve models in production on Azure (AKS), and keep them healthy — track drift, retraining triggers, and latency.
Integrate LLM-based capabilities (we use the Claude API and self-hosted open models) into delivery and product workflows where they
add leverage.
Collaborate with product, engineering, and domain experts to translate fuzzy operational problems into well-scoped ML solutions — and to
know when ML is not the right answer.
Communicate results and limitations clearly to non-ML stakeholders, including clients.
What We’re Looking For
3–5 years of hands-on experience building and deploying ML models in production (not just notebooks or coursework).
Strong Python and the modern ML stack — PyTorch or TensorFlow, scikit-learn, NumPy/Pandas.
Solid grounding in at least one of: computer vision (CNNs, object detection/segmentation, image preprocessing) or time-series /
anomaly detection.
Practical MLOps experience: containerization (Docker), model serving, experiment tracking, and deploying on a cloud platform — Azure /
Kubernetes (AKS) is a strong plus.
Comfort working with imperfect, real-world data — labeling strategy, class imbalance, data drift, and validation that reflects production
reality.
Good engineering hygiene (Git, testing, code review) and the ability to write code others can build on.
Nice to Have
Experience with industrial / manufacturing data or regulated environments (pharma, 21 CFR Part 11 awareness).
Hands-on LLM integration experience — RAG, prompt engineering, working with APIs or self-hosted models (vLLM, Qwen, etc.).
Edge deployment experience (running CV models on-device / near the line).
Exposure to data pipeline tooling and orchestration.
What You’ll Get
Real ownership of ML systems that go into production for serious clients.
A lean, senior-heavy team where you ship fast and learn across the stack.
Direct exposure to applied AI in manufacturing — a domain where the work has tangible, physical impact
Shubham Vishwakarma
Full Stack Developer - Averlon
About Gemba Concepts
About
Gemba Concepts, founded in 2014 by former Toyota employees Mohit Bafna and Abhishek Kumar, boasts a dynamic team with extensive industry experience and innovative ideas. We are dedicated to continuously refining our strategies in collaboration with our clients.
At Gemba Concepts, we bridge the gap between Boardroom strategy & On-Floor execution. We’re a new-age management consulting firm that operates where value is created, at the Gemba “The Real Place.”
Our Consultants work shoulder-to-shoulder with clients to design, deliver, and scale transformation, blending the analytical precision of top-tier consulting with the agility of an entrepreneurial firm.
We believe in one simple truth: “Strategy only matters when it works on the Ground.” That’s why every engagement is owned end-to-end, from insight to impact, ensuring measurable business results and lasting client capability.
Today, with over 250+ professionals, including engineers, operations experts, and strategists, Gemba Concepts continues to apply proven manufacturing excellence and Lean Operations from the Toyota Philosophy to diverse sectors helping organizations unlock efficiency, scalability, and long-term value.
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