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

Ensure adherence to company’s values (ICARE) in all aspects of your position at Coherent Corp.:

Integrity – Create an Workplace 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.

📌 Data Science & AI - Manager (Hyderabad)
🏢 Coherent
📍 Hyderabad