AI/ML Computational Scientist (Specialist/Associate Manager/Manager/Senior Manager) - Multiple Roles

#LI-GM

• Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions.
• Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps.
• Customize and apply Deep Learning and Gen AI models for various use cases based on business needs, data availability, system, and infrastructure requirements, including edge devices and High-Performance Computing (HPC).
• Engage in research and development of new AI and high-performance compute algorithms, models, and simulations, along with their applications to solve complex problems.
• Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production.
• Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools.
• Justify the value of model approaches in solving business problems.
• Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production.
• Design and develop AI and machine learning systems, leveraging existing cloud AI services as appropriate.
• Stay up-to-date with the latest AI trends and technologies, and apply innovative solutions to business problems.
• Provide guidance and mentorship to junior team members on AI/ML best practices.
• Engage with clients to understand their business needs and provide expert guidance on AI/ML strategy and implementation.
• Build and maintain strong relationships with clients, acting as a trusted advisor for their AI/ML initiatives.
• Tailor AI/ML solutions to meet specific client requirements and industry standards.
• Support business development activities by identifying opportunities for AI/ML projects and contributing to proposal development.

For All Levels

• Masters or Ph.D. in Computer Science, Statistics, Mathematics, or a related field. An MBA is a plus.
• Strong understanding of AI and machine learning principles.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Experience in a consulting role, engaging with clients to deliver AI/ML solutions.
• Relevant certifications in data science, machine learning, or project management (e.g., PMP, AWS Certified Machine Learning Specialty, Google Cloud Professional Data Engineer) are a plus.
• Candidates with exceptional experience will be considered irrespective of years of experience.

Consultant Level

• Min. 4 years of experience in AI/ML computational science or related roles.
• Demonstrated ability to develop and implement machine learning algorithms and models.
• Experience with data integration and model deployment.
• Proficiency in creating and managing data pipelines.
• Experience in client-facing roles, understanding client needs, and delivering tailored solutions.
  

Manager Level

• Min. 6 years of experience in AI/ML computational science or related roles.
• Proven experience in leading and managing AI/ML projects and teams.
• Strong project management skills, with the ability to manage multiple projects simultaneously.
• Demonstrated experience in evaluating and selecting AI/ML technologies and frameworks.
• Ability to work with cross-functional teams and drive project alignment.
• Experience in developing client relationships and providing strategic AI/ML consulting.

Associate Manager / Senior Manager Level

• Min. 8/1 years of experience in AI/ML computational science or related roles.
• Extensive experience in designing and implementing large-scale AI/ML systems.
• Proven leadership skills with experience in managing large AI/ML teams and complex projects.
• Strong strategic thinking and the ability to align AI/ML architecture with business goals.
• Experience in mentoring and developing junior team members.
• Demonstrated ability to drive innovation and apply cutting-edge AI/ML technologies to solve business problems.
• Significant experience in consulting, with a track record of delivering successful AI/ML projects and building long-term client relationships.