Machine Learning Lead

Meraki Labs is hiring via ENTER Machine Learning Lead job in Bengaluru (Bangalore) | Cutshort

Machine Learning Lead
Machine Learning Lead

8
\- 12 yrs
₹60L - ₹70L / yr
Bengaluru (Bangalore)
Skills
Machine Learning (ML)
Generative AI
Python
Artificial Intelligence (AI)
Large Language Models (LLM) tuning
Large Language Models (LLM)
Prompt engineering
Vector database
Natural Language Processing (NLP)
Transformer
Kubernetes
Docker
MLOps
kubeflow
Job Overview:
As a Technical Lead, you will be responsible for leading the design, development, and deployment of AI-powered Edtech solutions. You will mentor a team of engineers, collaborate with data scientists, and work closely with product managers to build scalable and efficient AI systems. The ideal candidate should have 8-10 years of experience in software development, machine learning, AI use case development and product creation along  with strong expertise in cloud-based architectures.
Key Responsibilities:
AI Tutor & Simulation Intelligence
– Architect the AI intelligence layer that drives contextual tutoring, retrieval-based reasoning, and fact-grounded explanations.
– Build RAG (retrieval-augmented generation) pipelines and integrate verified academic datasets from textbooks and internal course notes.
– Connect the AI Tutor with the Simulation Lab, enabling dynamic feedback — the system should read experiment results, interpret them, and explain _why_ outcomes occur.
– Ensure AI responses remain transparent, syllabus-aligned, and pedagogically accurate.
Platform & System Architecture
– Lead the development of a modular, full-stack platform unifying courses, explainers, AI chat, and simulation windows in a single environment.
– Design microservice architectures with API bridges across content systems, AI inference, user data, and analytics.
– Drive performance, scalability, and platform stability — every millisecond and every click should feel seamless.
Reliability, Security & Analytics
– Establish system observability and monitoring pipelines (usage, engagement, AI accuracy).
– Build frameworks for ethical AI, ensuring transparency, privacy, and student safety.
– Set up real-time learning analytics to measure comprehension and identify concept gaps.
Leadership & Collaboration
– Mentor and elevate engineers across backend, ML, and front-end teams.
– Collaborate with the academic and product teams to translate physics pedagogy into engineering precision.
– Evaluate and integrate emerging tools — multi-modal AI, agent frameworks, explainable AI — into the product roadmap.
Qualifications & Skills:
– 8–10 years of experience in software engineering, ML systems, or scalable AI product builds.
– Proven success leading cross-functional AI/ML and full-stack teams through 0→1 and scale-up phases.
– Expertise in cloud architecture (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
– Experience designing microservices and API ecosystems for high-concurrency platforms.
– Strong knowledge of LLM fine-tuning, RAG pipelines, and vector databases (Pinecone, Weaviate, etc.).
– Demonstrated ability to work with educational data, content pipelines, and real-time systems.
Bonus Skills (Nice to Have):
– Experience with multi-modal AI models (text, image, audio, video).
– Knowledge of AI safety, ethical AI, and explain ability techniques.
– Prior work in AI-powered automation tools or AI-driven SaaS products.
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Companies hiring on Cutshort

Founded
:
2024
Type
:
Products & Services
Size
:
100-1000
Stage
:
Raised funding
About
N/A
Company social profiles

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