Data Scientist with Gen AI

Hiring: W2 Candidates Only



Visa: Open to any visa type with valid work authorization in the USA

Experience Required: 6 to 12 years

Level: Mid to Lead positions

Description :

• Collaborate in a highly multidisciplinary team environment.
• Work with lead data scientists to design, architect, and build AI/ML models and systems.
• Design and implement scalable evaluation pipelines to assess enterprise-level AI/ML solution performance.
• Partner with machine learning engineers to deploy, operate, and optimize scalable solutions.
• Collaborate with product managers to design user journeys, feedback loops, and analyze user telemetry.
• Develop your skills through end-to-end AI/ML product experience.
• Establish robust work standards to ensure the development of trustworthy AI/ML solutions.

Responsibilities :

• Proficiency in traditional machine learning algorithms (e.g., multi-class classification, decision trees, support vector machines) and deep learning (e.g., CNNs, LLMs).
• Expertise in statistical analysis and programming languages such as Python, and experience with mainstream machine learning frameworks (e.g., PyTorch, TensorFlow).
• 6+ years of industry experience with a proven track record of ownership and delivery of ML-based models/solutions in production environments.
• Ability to execute trustworthy AI/ML practices in collaboration with stakeholders across the enterprise.
• Experience coaching junior data scientists through technical and business challenges.
• Strong communication skills, including the ability to share research progress, breakthroughs, and product innovations through publications, presentations, and other mediums.
• Proficiency in machine learning algorithms and evaluation frameworks.
• Demonstrated success in building and scaling GenAI and Agentic AI solutions in a professional environment at scale.
• Strategic thinker and hands-on builder, able to set high-level architectural vision and dive deep into optimization when needed.
• Thrive in fast-paced, ambiguous environments and enjoy turning complexity into clear action.