About
Akkodis is seeking a
Senior Machine Learning Engineer
for a
Contract
with a client in
Dearborn, MI (Hybrid) . The candidate will be responsible for designing, deploying, and scaling self‑running ML and Generative AI systems that solve complex business problems across structured and unstructured data.
Compensation
Rate Range:
$75/hour to $80/hour. The rate may be negotiable based on experience, education, geographic location, and other factors.
Pay Details:
$75.00 to $80.00 per hour.
Responsibilities
Design, develop, and deploy scalable machine learning and Generative AI solutions, including LLM‑based architectures, RAG pipelines, and fine‑tuned foundation models. Automate and optimize the end‑to‑end ML lifecycle, covering data preparation, experimentation, training, evaluation, deployment, and monitoring. Build self‑running, production‑grade ML systems for use cases such as NLP, conversational AI, computer vision, and intelligent automation. Develop supporting services and APIs (e.g., FastAPI) to expose ML and GenAI capabilities to downstream applications and platforms. Collaborate with data engineering, product, and cloud teams to ensure scalable, secure, and cost‑efficient ML solutions on GCP. Apply best practices in prompt engineering, model tuning, version control, and containerization to ensure reliability and continuous improvement of AI systems.
Qualifications
Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, Machine Learning, or a closely related technical field. 8+ years of hands‑on development experience, with 10+ years overall IT experience in ML, AI, or advanced analytics roles. Proven expertise in designing and deploying Generative AI solutions, including LLMs, RAG architectures, vector databases, and prompt engineering in production environments. Strong hands‑on experience with Python, SQL, cloud‑native ML platforms on GCP, and building scalable APIs and ML systems using tools such as FastAPI, Docker, and Git.
About the role and environment
The candidate will work on self‑running, scalable AI systems and collaborate with cross‑functional teams to deliver value. This description reflects responsibilities and qualifications for the role only and does not include non‑description promotion or application steps.
Equal Opportunity
Equal Opportunity Employer/Veterans/Disabled. Military connected talent encouraged to apply.
Candidate Privacy
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-privacy-policy
Legal and Compliance
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: 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: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.
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Languages
- English
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