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.