Director - Machine Learning

• The Director as a part of our Generative AI team, will play a multifaceted role in the design, development, and deployment of our Large Language Model (LLM) applications.
• Key responsibilities will include creating applications based on the Retrieval-Augmented Generation (RAG) framework, developing efficient inferencing algorithms, and fine-tuning the LLM to cater to various applications.
• This role will also involve leveraging various machine learning stacks to enhance system efficiency, researching new techniques to advance our LLM applications, and collaborating with cross-functional teams within the organization. In addition, the engineer will be responsible for documenting processes and workflows and sharing insights with the team.
• This position requires a solid understanding of AI and machine learning principles, robust problem-solving skills, and the ability to thrive in a fast-paced, dynamic environment.

• Responsible for end-to-end software engineering aspects of design,
• development, testing and deployment of platform to support global
• customer needs, product innovations and technical initiatives.
• Responsible for technical capabilities of the product and the platform
• in terms of data design/architecture, UI/UX design/architecture, and
• API based backend systems.Create and promote an agile development culture in his or her team
• focused on Engineering Excellence with high quality code
• development and deployment to production.
• Facilitate knowledge transfer to the Engineering and Operations team
• during and after deployment.
• Work with geographically distributed teams on technical challenges
• and process improvements.
• Drive the strong automation culture with proven and open source-
• based technologies, frameworks, and best practices to reduce
• complexity and encourage operational excellence to the team.
• Engage and communicate with stakeholders of business, product,
• technology, operations, and customer success teams.
• Develop code, specifications, architecture and design documents as
• needed
  

People Management:

• Build and maintain a high performing team, hire and retain the right talents in the right roles.
• Foster a culture of teamwork, collaboration, and mentoring.
• Develop and empower direct reports to make appropriate technical decisions.
• Ensure resource availability to support deployment activities in various environments
• Effectively handle goal setting and team performance management
• Identify process improvements and/or ineffective use of project hours and resources.
• Manage development resources across multiple technologies including Big Data technologies, Virtualization, Containerization, AIML and various open source and public cloud offerings.
• Work collaboratively with senior management, architecture, product management and lead development staff to develop broadly acceptable solutions.
• Take complete responsibility of the full life cycle of projects and oversee software release implementations when required.
• Demonstrate Visas core values and maintain a positive and open demeanor.
• This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

• 12 or more years of work experience with a Bachelor s Degree or Advanced Degree (e.g. Masters, MBA, JD, MD) or with a PhD
• Solid understanding of Large Language Models, Generative AI systems and applications.
• Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate architectural issues and concepts to multiple organization levels.
• Strong problem solving skills to deep dive, brainstorm, and choose best solution approach.
• Have prior hands-on experience using languages such as Python, Go, Java, Python, Rust. Strong on coding and code reviews.
• Experience in leading teams that have built full stack applications from the ground-up using distributed high performance and scalable technologies such as K8s, Docker, Ray, Airflow, Hadoop, Spark, Kafka and so on.
• Experience in leading teams that have built cloud platform solutions using AWS, Azure and GCP for high performance real time AIML applications
• Experience in DevSecOps world - Github/Git, CI/CD Pipelines, Jenkins,
• Ansible, Shell Scripts, Security Tools, Observability, Alerting, IaC etc.
• Strong proponent of Innovation and open-source contributions.
• Background in developing and deploying AIML platforms and applications in on premises and public cloud infrastructure.