Data Science Consultant- AI Product technical Consultant

Key Skills

Aartificial intelligence, AWS, Azure, Data science techniques, Deep Learning, Docker, FastAPI, Google Cloud Platform (GCP), Keras software library, Kubernetes-K8s, Large Language Models - LLMs, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

As a Senior AI Product Manager, you will lead the strategic development and delivery of AI-centric products, utilizing your deep expertise in Generative AI, Large Language Models (LLMs), Deep Learning, and Reinforcement Learning. Your technical skills will guide MLOps implementation and product design, while your leadership will foster cross-functional collaboration. You'll identify market opportunities, translating these into product requirements, while balancing short-term execution with long-term strategy. Besides navigating technical complexities, your role extends to stakeholder management, ensuring product alignment with company objectives. This includes liaising with sales and marketing teams for go-to-market strategies, leading customer engagement initiatives, and presenting regular updates to senior management. Your dual focus on technical excellence and business strategy will be pivotal in delivering innovative, user-centric AI products that drive our company's success.

You will:

• Utilize your understanding of Generative AI, LLMs, Deep Learning, and Reinforcement Learning to develop strategic product roadmaps. Evaluate market trends and competitor offerings to identify opportunities for innovation. Also Utilize popular AI, ML, and DL frameworks such as TensorFlow, PyTorch, and Keras to help guide product development.
• Oversee the complete product life cycle, from conception through development, launch, and post-launch optimization. Collaborate with the engineering team to ensure the development of high-quality AI-driven products in line with defined objectives.
• Regularly provide leadership with updates on product development progress, market trends, and potential challenges. Make informed recommendations based on data-driven insights.
• Coordinate with the engineering team to integrate MLOps practices into product development. Understand and contribute to system design, ensuring that products are scalable, robust, and maintainable.
• Supervise and assist the team in executing Proof of Concepts (POCs) that demonstrate the value and potential of your research to the organization and Proactively engage in the patent creation process to safeguard the organization's intellectual property rights.

Take the first step towards your dream career.

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• Bachelor's or Master's degree in Computer Science, Information Technology, AI, Machine Learning, or a related field with 12+ year of Proven experience as a Data Engineer or similar role.
• Solid background in Data Science and Software Engineering with in-depth understanding of database indexing and data modelling.
• Experience in python, microservices and usage of APIs ( Flask , Fast API etc. )
• Proficiency in implementing ETL processes, methodologies, and tools.

Desirable Requirements

• Solid knowledge of cloud environments, such as AWS, GCP, or Azure.
• Experience with containerization technologies like Docker and orchestration systems like Kubernetes.

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date: 25 Feb 2024

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.