Description

Responsibilities:

• Develop and refine advanced statistical models to address intricate business challenges.
• Lead the deployment of models into production environments, ensuring robustness, scalability, and maintainability.
• Design and implement REST API integrations for seamless model deployment and accessibility.
• Provide strategic leadership on AI initiatives, ensuring alignment with business and technological goals.
• Drive innovation by adopting and implementing cutting-edge frameworks such as Transformers and LLMs.
• Stay ahead of trends in NLP, deep learning, and AI research to inform the organization’s strategic initiatives.
• Mentor, coach, and lead multi-disciplinary teams of AI/ML engineers and data scientists.
• Collaborate with executive teams to define AI strategy, investment, and roadmap.

Requirements:

• Bachelor’s, Master’s, or Doctorate in Computer Science, Data Science, or related disciplines.
• Proven track record of deploying large-scale AI solutions that deliver measurable business value.
• Strong leadership, strategic thinking, and stakeholder management skills.
• Excellent communication skills to articulate complex AI concepts to non-technical audiences.
• Extensive experience in designing scalable ML architectures at an enterprise level.
• Deep expertise in advanced statistical modeling techniques.
• Proven success in model development, deployment, and scaling.
• Strong experience integrating AI models via REST APIs in production environments.
• Expertise in Natural Language Processing (NLP), deep learning, and transformer-based models.
• Hands-on experience with cloud AI platforms such as AWS SageMaker or Azure AI.
• Demonstrated leadership in AI strategy and innovation, influencing organizational AI roadmap.
• Familiarity with emerging AI frameworks including Transformers and Large Language Models (LLMs)

Key Skills

Education

Bachelor's or Master's degrees