Role:- Sr. AI/ML Expert
Location:- New York City, NY (Hybrid)
Our challenge:-
We are seeking an accomplished and visionary Lead AI/ML Engineer with over 12 years of experience to spearhead the design and implementation of large-scale, strategic AI solutions.
In this leadership role, candidate will guide the company's AI vision, architect enterprise-wide scalable machine learning systems, and influence technological innovation.
Candidate will also mentor senior technical teams and collaborate closely with executive leadership to shape our AI roadmap.
The Role
Responsibilities:
Architect and oversee the development of scalable, enterprise-grade ML systems that handle complex data and model requirements.
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.
12+ years of professional experience in AI/ML engineering, architecture, or leadership.
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.
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