Technical Lead - Artificial Intelligence

E2M; Ahmedabad District; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

A digital solutions provider in India is seeking a highly skilled Technical Lead – AI to lead the design and development of AI/ML solutions. You will mentor engineers, solve complex AI problems, and drive AI-driven solution implementations. The ideal candidate should have 6-8 years of experience in AI/ML, with 2 years in a technical leadership role, and proficiency in Python. Join us to contribute to innovative projects in a collaborative environment.

Qualifications

• 6-8 years of experience in Artificial Intelligence, Machine Learning, or Data Science.
• At least 2 years of experience in a technical leadership or senior engineering role.
• Proven experience building production-level AI applications.

Responsibilities

• Lead the design and development of AI/ML solutions and intelligent automation systems.
• Provide technical guidance and mentorship to AI engineers and developers.
• Ensure adoption of best practices in AI model development, testing, and deployment.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Generative AI

Natural Language Processing

AI APIs

Tools

LangChain

Llama Index

Job description

E2M Solutions works as a trusted white‑label partner for digital agencies. We support agencies with consistent and reliable delivery through services such as website design, web development, eCommerce, SEO, AI SEO, PPC, AI automation, and content writing. Founded on strong business ethics, we are an equal opportunity organization powered by 300+ experienced professionals, partnering with 400+ digital agencies across the US, UK, Canada, Europe, and Australia. At E2M, we value ownership, consistency, and people who are committed to doing meaningful work and growing together. If you’re someone who dreams big and has the gumption to make them come true, E2M has a place for you.

About the Role

We are seeking a highly skilled Technical Lead – AI who combines deep technical expertise in AI/ML with strong leadership capabilities. The ideal candidate will be responsible for designing AI architectures, leading development teams, and ensuring the successful implementation of AI‑driven solutions. This role requires a hands‑on technical leader who can guide engineers, solve complex AI problems, and collaborate with cross‑functional teams to translate business needs into innovative AI solutions.

Responsibilities

• Technical Leadership:
• Lead the design and development of AI/ML solutions and intelligent automation systems.
• Provide technical guidance and mentorship to AI engineers and developers.
• Conduct architecture reviews, code reviews, and technical evaluations.
• Ensure adoption of best practices in AI model development, testing, and deployment.
• AI Solution Development:
• Design and implement machine learning, deep learning, and generative AI models.
• Develop AI‑powered solutions such as chatbots, recommendation engines, NLP systems, and predictive analytics models.
• Work on LLM‑based applications, prompt engineering, and AI workflow automation.
• Build scalable AI APIs and production‑ready AI systems.
• Stay updated with the latest advancements in AI, Machine Learning, and Generative AI technologies.
• Evaluate new tools, frameworks, and technologies to enhance AI capabilities within the organization.
• Contribute to internal AI initiatives and innovation projects.

Qualifications

• 6–8 years of experience in Artificial Intelligence, Machine Learning, or Data Science.
• At least 2 years of experience in a technical leadership or senior engineering role.
• Proven experience building production‑level AI applications.

Required Skills

• Strong programming experience in Python.
• Hands‑on experience with Machine Learning frameworks such as:
  • TensorFlow
  • PyTorch
  • Scikit‑learn
• Experience working with Generative AI and Large Language Models (LLMs).
• Experience with LangChain, Llama Index, or similar AI orchestration frameworks.
• Strong knowledge of Natural Language Processing (NLP).
• Experience building AI APIs and integrating AI into applications.
• Familiarity with vector databases, embeddings, and RAG architectures.