Lead AI/ML Engineer

Role - Lead AI/ML Engineer

Experience -5+ years

Location - REMOTE

Notice Period - Immediate to 30 days

Key Responsibilities:

Strategic Leadership: Together with the CTO, define and lead the AI strategy, ensuring

alignment with the company's vision and goals. Identify opportunities for AI-driven

innovation and improvement.

Project Oversight: Manage the full lifecycle of AI projects, from conception to deployment,

ensuring timely delivery and high-quality outcomes.

Technical Expertise: Design, develop, and deploy advanced AI models, with a focus on NLP,

Generative AI, LLMs, Retrieval Augmented Generation, Vector Databases, and Knowledge

Graphs.

Team Mentorship: Lead, mentor, and develop a team of machine learning engineers,

fostering a collaborative and innovative environment.

Stakeholder Collaboration: Work closely with cross-functional teams, including product

managers, data scientists, and software engineers, to integrate AI solutions effectively into

products and services.

Innovation and Research: Stay abreast of the latest developments in AI research and

technology. Evaluate and incorporate new methodologies and tools to enhance our AI

capabilities.

Scalability and Efficiency: Ensure that AI models and solutions are scalable, efficient, and

can be seamlessly integrated into client systems.

Requirements:

Master's or PhD in Computer Science, Engineering, or a related field, with significant

experience in AI and machine learning.

5+ years of experience in developing and deploying machine learning models, with a robust

portfolio in NLP, CV, Generative AI, and LLM.

Deep expertise in advanced AI technologies, including Retrieval Augmented Generation,

Vector Databases, and Knowledge Graphs.

Proven experience in leading and mentoring engineering teams.

Exceptional programming skills in Python and proficiency with advanced machine learning

frameworks.

Strong analytical and problem-solving abilities, with a keen eye for detail and a commitment

to excellence.

Experience in managing large-scale AI projects and delivering impactful solutions.

Strong communication and interpersonal skills, with the ability to convey complex technical

concepts to non-technical stakeholders.