Jobs Companies Synechron AI – Tech Lead

Sobre este puesto de AI – Tech Lead en Synechron

Synechron · Presencial · Pune - Hinjewadi (Ascendas)

Job Title: AI Tech Lead

Experience: 6-8 Years
Location: Pune
Employment Type: Full-time

Role Overview

We are looking for an experienced AI Tech Lead to design, develop, and lead the implementation of AI/ML solutions. The ideal candidate should have strong expertise in machine learning, generative AI, cloud technologies, and software engineering, along with the ability to mentor teams and collaborate with business stakeholders.

Key Responsibilities

  • Lead the design, development, and deployment of AI/ML and Generative AI solutions.
  • Architect scalable AI platforms and ensure adherence to best practices.
  • Collaborate with business and technical teams to translate requirements into AI-driven solutions.
  • Develop and optimize machine learning models, LLM-based applications, and data pipelines.
  • Drive technical discussions, code reviews, and solution architecture decisions.
  • Mentor and guide AI/ML engineers and developers.
  • Ensure model performance, reliability, security, and scalability in production environments.
  • Stay updated with emerging AI technologies and industry trends.

Required Skills

  • 6-8 years of experience in Software Development, AI, or Machine Learning.
  • Strong proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
  • Experience with Generative AI, LLMs, RAG, prompt engineering, and AI agents.
  • Hands-on experience with Azure AI, Azure OpenAI, AWS AI/ML, or Google Cloud AI services.
  • Strong understanding of NLP, deep learning, model deployment, and MLOps.
  • Experience with vector databases, LangChain, Semantic Kernel, or similar frameworks.
  • Knowledge of APIs, microservices, Docker, Kubernetes, and CI/CD pipelines.
  • Experience working with SQL/NoSQL databases and large-scale data processing.

Preferred Qualifications

  • Experience leading technical teams or projects.
  • Exposure to AI governance, responsible AI, and model monitoring.
  • Certifications in Azure AI, AWS ML, or equivalent cloud technologies.
  • Strong communication and stakeholder management skills.

Educational Qualification

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.


All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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Sobre Synechron

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering , servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 2

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