Data Science & AI - Manager

Coherent Corp.

Hyderabad

Hybrid

INR 5,000,000 - 8,500,000

Full time

14 days+

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Job summary

Coherent Corp. is seeking an Architect to lead AI/ML systems, pipelines, and platforms for enterprise use. You will set standards, guide decisions on model selection, architecture, and infrastructure while mentoring a small AI engineering team.

You will drive the design and implementation of applications using LLMs, RAG, and workflow orchestration, translating business needs into phased delivery roadmaps and ensuring secure, compliant AI solutions across the organization.

Qualifications

  • Bachelor’s or Master’s in CS/EE with focus on AI/ML.
  • Overall 12–15 years of experience with at least 5 years in relevant AI/ML leadership roles.

Responsibilities

  • Architect and oversee AI/ML systems, pipelines, and platforms for enterprise use cases.
  • Set engineering standards and guide technical decisions on model selection, architecture, infrastructure, and lifecycle management.
  • Provide hands-on technical leadership through design reviews, mentorship, and execution guidance for a mid-large AI team.
  • Lead the design and implementation of applications using LLMs, RAG, agentic systems and workflow orchestration.
  • Translate business needs into practical AI architectures and phased roadmaps.
  • Drive full lifecycle from prototyping to production deployment and operational support.
  • Ensure AI solutions are explainable, secure, and governance-aligned.

Skills

Team leadership
AI/ML architecture
Model selection
Python
Data governance
Communication
Mentoring
Production pipelines

Education

Bachelors / Masters in CS / Data Science / ML

Tools

TensorFlow
PyTorch
HuggingFace
LlamaIndex
LangChain
Streamsets
Spark

Job description

  • Architect and oversee AI/ML systems, pipelines, and application platforms for enterprise and engineering use cases.
  • Set engineering standards and guide technical decisions around model selection, system architecture, infrastructure, observability, security, evaluation, and lifecycle management.
  • Provide hands‑on technical leadership through design reviews, code reviews, mentoring, and execution guidance for a small AI engineering team.
  • Lead the design and implementation of applications using Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), agentic systems, enterprise connectors, and workflow orchestration.
  • Translate business and engineering needs into practical AI architectures and phased delivery roadmaps.
  • Drive the full lifecycle of AI applications from research and prototyping through evaluation, production deployment, and operational support.
  • Ensure AI solutions are explainable, reliable, secure, and aligned with regulatory expectations and internal governance policies.
  • Work closely with data engineering, software engineering, IT, and business teams to ensure high‑quality, well‑governed data availability for AI applications.
  • Stay current with advances in AI/ML, evaluate new techniques and frameworks, and drive pragmatic adoption using secure, cloud‑native or hybrid architectures.
Job Description
Primary Duties & Responsibilities
  • Architect and oversee AI/ML systems, pipelines, and application platforms for enterprise and engineering use cases.
  • Set engineering standards and guide technical decisions around model selection, system architecture, infrastructure, observability, security, evaluation, and lifecycle management.
  • Provide hands‑on technical leadership through design reviews, code reviews, mentoring, and execution guidance for a small AI engineering team.
  • Lead the design and implementation of applications using Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), agentic systems, enterprise connectors, and workflow orchestration.
  • Translate business and engineering needs into practical AI architectures and phased delivery roadmaps.
  • Drive the full lifecycle of AI applications from research and prototyping through evaluation, production deployment, and operational support.
  • Ensure AI solutions are explainable, reliable, secure, and aligned with regulatory expectations and internal governance policies.
  • Work closely with data engineering, software engineering, IT, and business teams to ensure high‑quality, well‑governed data availability for AI applications.
  • Stay current with advances in AI/ML, evaluate new techniques and frameworks, and drive pragmatic adoption using secure, cloud‑native or hybrid architectures.
Education & Experience
  • Bachelor’s / master’s degree in computer science engineering with specialization in Data Science/AI/ML/ Statistics
  • Overall Experience of 12 to 15 years and minimum 5 years relevant experience
Skills
  • Experience with open‑source model ecosystems, model serving, and deployment optimization.
  • Exposure to fine‑tuning, adapters, or domain customization techniques.
  • Experience designing evaluation frameworks, benchmarks, guardrails, and quality measurement processes.
  • Experience with supervised and unsupervised machine learning models.
  • Exposure to engineering, industrial, manufacturing, photonics, or other deep‑technical domains.
  • Experience of managing a highly talented AI/Data Science Team of >=5 people
  • Design, build, automate, deploy and maintain machine learning production pipelines.
  • Extensive knowledge and skills in frameworks (like TensorFlow, Pytorch, Huggingface), libraries (LlamaIndex, Langchain)
  • Expertise in Python and Visualization Python modules like matplotlib, seaborn
  • Knowledge of Big data systems, Data ingestion tools/processes/techniques like Streamsets, Spark
  • Prior experience leading and mentoring a mid‑size (5 people+) technical team.
  • Excellent written and verbal communication in English; comfortable presenting to senior leadership / global stakeholders.
Working Conditions
  • The work mode of Finisar India is Hybrid i.e. 3 days at office.
Culture Commitment
  • Integrity – Create an Environment of Trust
  • Collaboration – Innovate Through the Sharing of Ideas
  • Accountability – Own the Process and the Outcome
  • Respect – Recognize the Value in Everyone
  • Enthusiasm – Find a Sense of Purpose in Work

Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Finisar India (Subsidiary of Coherent Corp) is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender identity, sexual orientation, race, color, religion, national origin, disability, or any other characteristic protected by law.

About Us

Coherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard‑work through a competitive compensation program. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us!

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