AI/ML Computational Scientist

Job Description

YOU ARE

As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle - assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps &MLOpspipelines for training and production, and ensuring quality, value, and reliability of deployed systems.

THE WORK

• 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 Learningand Gen AI models for various use cases based on the business needs, data availability,systemand infrastructure requirements - including edge device and HPC
  

• Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites
  

• Work with large-scale datasets andutilizedata preprocessing techniques to ensure high-quality input for training and production
  

• Implement andmaintainefficient data storage and retrieval mechanisms for models and knowledge usingappropriate tools
  

• Justify the value of model approaches in 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
  

Qualification

EDUCATION

• • Bachelor's Degree or equivalent
  

BASIC (REQUIRED) QUALIFICATION

• Proven experience as a machine learning engineer or scientist, deploying models in production atscale ,including monitoring, alerting, automatic bug filing and auditing.
  

• Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
  

• Hands-on experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks
  

• Experience in building and deploying AI/ML based software to a cloud environment.
  

PREFERRED QUALIFICATION

• Proficiencyin Python andpython-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,PyTorch)..
  

• Experience working with language models like LLM's APIs andoptimizingtheir usage for specific applications.
  

• Experience with the following programming languages: Python, C++, Java, R, SQL
  

• Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders
  

• Strong client-facing skillsets in a consulting environment
  

• Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams
  

• Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation
  

• MS or PhD in related field preferred (computer science, engineering, etc.)
  

Locations

London

Additional Information

Equal Employment Opportunity Statement

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