AIML Engineer

Job Summary
We are seeking an experienced AI Engineering Lead with a strong background in Generative AI
models, agentic systems, and machine learning algorithms. This role requires a leader who has handson
experience in building AI-driven solutions for clients and delivering end-to-end AI solutions. You will
lead a team of AI engineers, collaborate with cross-functional stakeholders, and drive the successful
implementation of AI projects from ideation to deployment. Strong communication skills are essential to
effectively articulate complex AI concepts to both technical and non-technical audiences.
Key Responsibilities
• Lead the design, development, and deployment of AI/ML solutions with a focus on Generative AI
and agentic AI models.
• Manage and mentor a team of AI engineers, fostering a culture of innovation, collaboration, and
continuous learning.
• Develop and fine-tune ML models, including deep learning, NLP, reinforcement learning, and
agent-based systems.
• Work closely with clients to understand business needs, define AI strategies, and deliver custom
AI-driven solutions.
• Architect and implement scalable AI systems that integrate with enterprise applications.
• Stay updated with state-of-the-art AI research, applying best practices to solve real-world
business problems.
• Drive participation in AI hackathons and industry challenges, fostering a team culture of
innovation and experimentation.
• Collaborate with product managers, software engineers, and data scientists to ensure seamless
deployment and monitoring of AI solutions.
• Present AI strategies and technical solutions to stakeholders, translating complex AI concepts
into business value.
• Ensure AI models are ethical, fair, and transparent, with proper governance in place.
Required Qualifications
• 5+ years of experience in AI/ML development, with at least 3+ years in a leadership role.
• Strong expertise in Generative AI (LLMs, diffusion models, transformers, etc.), agentic AI, and
ML algorithms.
• Proven track record of delivering AI solutions for clients, including hands-on experience in
deploying models into production.
• Experience with frameworks such as TensorFlow, PyTorch, LangChain, Hugging Face, OpenAI
APIs, and other ML libraries.
• Strong programming skills in Python, Java, or similar languages.
• Familiarity with cloud-based AI/ML platforms (AWS, Azure, GCP) and MLOps practices.
• Experience leading AI hackathons or similar innovation-driven initiatives.
• Excellent problem-solving skills, with the ability to translate business needs into AI solutions.
• Strong interpersonal and communication skills, with the ability to explain AI concepts to both
technical and non-technical stakeholders.
• Experience working in agile development environments.

Work arrangement
Hybrid