Senior AI Engineer - SFL Scientific

About the role

SFL Scientific, a Deloitte Business, is seeking a Senior AI Engineer to join our dynamic team. This role offers the opportunity to work on innovative projects and contribute to the strategic transformation of our clients.

Responsibilities

• Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications
• Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies
• Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases
• Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives
• Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on-prem
• Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions
• Mentor, motivate, and coach junior members on technical best practices and inspire professional development

Requirements

• Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience
• 4+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
• 4+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
• 4+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
• 2+ years of experience managing teams in technical delivery and delivering complex and critical projects
• 2+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins
• 2+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
• 2+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Qualifications

• Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field
• AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)
• 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack

Benefits

At Deloitte, we offer a comprehensive benefits package including health insurance, retirement plans, and paid time off. We also provide opportunities for professional development and advancement within our organization.

Pay

The wage range for this role is $128,000 to $252,500, taking into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

Schedule

This role requires flexibility to accommodate client needs and project timelines. Travel may be required, averaging 10% of the time.