Lead Engineer - AI / ML

About the Job

As a Lead AI / ML Engineer, you spearhead the design, development, and implementation of advanced AI and machine learning models. Your role involves guiding a team of engineers ensuring the successful deployment of projects that leverage AI / ML technologies to solve complex problems. You collaborate closely with stakeholders to understand business needs, translate them into technical requirements, and drive innovation. Your responsibilities include optimizing model performance, conducting rigorous testing, and maintaining up-to-date knowledge of the latest industry trends. Additionally, you mentor team members, promote best practices, and contribute to strategic decision-making within the organization.

Core Responsibilities

• Client Interaction : Discuss client requirements and develop proposals tailored to their needs.
• Demonstrations and Workshops : Conduct solution / product demonstrations, POC / Proof of Technology workshops, and prepare effort estimates in line with customer budgets and organizational financial guidelines.
• Model Oversight : Oversee the development and deployment of AI models, especially those generating content such as text, images, or other media.
• AI Solutions : Engage in coding, designing, developing, implementing, and deploying advanced AI solutions.
• Expertise Utilization : Utilize your expertise in NLP, Python programming, LLMs, Deep Learning, and AI principles to drive the development of transformative technologies.
• Leadership and Initiative : Actively lead projects and contribute to both unit-level and organizational initiatives to provide high-quality, value-adding solutions to customers.
• Strategic Development : Develop value-creating strategies and models to help clients innovate, drive growth, and increase profitability.
• Technology Awareness : Stay informed about the latest technologies and industry trends.
• Problem-Solving and Collaboration : Employ logical thinking and problem-solving skills, and collaborate effectively.
• Client Interfacing : Demonstrate strong client interfacing skills.
• Project and Team Management : Manage projects and teams efficiently.

Required Skills

Qualifications

Skills Required

Tensorflow, Nlp, Pytorch, Spark, Keras, Python, Deep Learning