• Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems • Help mature Raft’s internal ML platform and model lifecycle capabilities, including model packaging, registry/catalog workflows, deployment, monitoring, and operational support • Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters • Support model serving and inference infrastructure for a range of ML use cases, including traditional ML, computer vision, speech/audio, and LLM-based systems • Build and maintain CI/CD workflows for ML services, model artifacts, and platform components • Partner closely with ML engineers, software engineers, and product teams to move models from experimentation to reliable operational deployment • Improve observability, reliability, security, and maintainability across ML infrastructure and services • Help evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production ML workloads • Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments • Support compliance-driven deployment practices and secure software supply chain requirements in defense environments • Get hands-on with customers at the most forward-leaning places in the Department of War

• Training Machine Learning models • Processing and understanding large datasets • Optimizing ML algorithms for performance and scalability • Integrating ML models into existing software applications • Collaborating with data scientists, business analysts, and software engineers • Staying up to date with the latest ML technologies and best practices • Following software engineering best practices

• Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). • Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching, and online content analysis. • Collaborate with cross-functional teams to improve product and system performance. • Research and implement state-of-the-art algorithms and techniques to improve the accuracy and performance of AI solutions. • Build scalable data pipelines for the ingestion and processing of image and text data for model training and evaluation. • Continuously monitor the performance of models in production, identify bottlenecks, and propose optimizations.

Title: Software Engineer (AI/ML) Location: Dearborn United States Job Description: Akkodis is seeking a Software Engineer (AI/ML) for a Contract with a client in Dearborn, MI (Hybrid). The ideal candidate will lead end-to-end Risk platform design, CI/CD implementation, and scalable API and UI development while mentoring engineers and aligning robust technical solutions with business goals. Rate Range: $60/hour to $65/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Software Engineer (AI/ML) Job Responsibilities include: - Lead end-to-end design and development of a scalable, secure Risk platform on Google Cloud Platform (GCP) using Java and Spring Boot. - Design, build, and enhance back-end APIs and front-end user experiences using React, TypeScript, HTML, and CSS. - Develop and maintain robust CI/CD pipelines, collaborating with cross-functional Agile teams to support deployment and ongoing operations. - Optimize platform performance, reliability, and user experience through reusable components, analytics integration, and localization support. - Mentor junior engineers, conduct code reviews, and champion best practices in code quality, testing, security, and performance optimization. - Partner with product owners and stakeholders to align technical solutions with business objectives and drive innovation. Required Qualifications: - Bachelor's degree in computer science, Software Engineering, or a related field (Master's degree preferred). - 15+ years of professional software development experience with a strong focus on Java and full-stack development. - Hands-on experience with Google Cloud Platform (GCP), including Cloud Run, Cloud SQL/PostgreSQL, and cloud-native application design. - Strong expertise in Java (Java 8+), Spring Boot, REST API development, modern front-end frameworks (React/TypeScript), and CI/CD tools within an Agile environment. Pay Details: $60.00 to $65.00 per hour Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Military connected talent encouraged to apply The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: - The California Fair Chance Act - Los Angeles City Fair Chance Ordinance - Los Angeles County Fair Chance Ordinance for Employers - San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.