Python Developer
Akkodis is seeking a Machine Learning Engineer to drive the strategy for our internal Data Science/AI/ML platform. This position will work in a cross-functional team, collaborating with engineers, business partners, product managers, and designers. We release early and often and focus on building Mach1ML, an AI/ML enablement platform that democratizes Machine Learning across the enterprise.
Pay rate: $60-$65/hour on W2.
This position is not open to C2C at the moment.
Position Responsibilities:
• Collaborate with the Tech Anchor, Product Manager, and Product Owner to deliver MLOps platform and Gen AI solutions in GCP using Python and other tools for data scientists and business teams.
• Partner with software and ML engineers/data scientists to tackle complex AIOps and Gen AI problems.
• Manage and maintain the current CI/CD ecosystem and tools.
• Automate and continually improve CI/CD processes and release processes.
• Review and resolve issues with code/scripts.
• Standardize and innovate machine learning development practices.
• Experiment, innovate, and share knowledge with the team.
• Lead by example in using Paired Programming for cross-training, problem-solving, and speed to delivery.
• Leverage the latest ML/Gen AI/GCP/AIOps/Kubernetes technologies.
Experience Required:
• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline.
• 3+ years of experience as a backend software engineer in Python with exceptional software engineering knowledge.
• 2+ years of experience with Cloud Engineering/Services.
• Experience in MLOps and Gen AI – LLM, development of RAG and Multi-Agent Applications.
• Experience with ML workflow orchestration tools such as Airflow, Kubeflow, etc.
• Advanced working knowledge of object-oriented/object-functional programming languages (Python, C/C++).
• Experience with DevOps tools like Jenkins/Tekton.
• Experience with cloud services, preferably Google Cloud Platform (GCP) services such as Vertex AI, Cloud Functions, BigQuery, etc.
• Experience with container management solutions like Kubernetes, Docker.
• Proficiency in scripting languages like Bash, PowerShell, etc.
• Experience with Infrastructure as Code (e.g., Terraform).
Experience Preferred:
• Master’s degree in Computer Science, Machine Learning, or a related field.
• Experience working with Google Cloud Platform (GCP), particularly Google Kubernetes Engine, Terraform, and infrastructure.
• Familiarity with programming concepts such as Paired Programming, Test-Driven Development, etc.
• Knowledge of coding and software craftsmanship practices.
• Quick to learn and adapt to new technologies.
• Experience applying agile practices in solution delivery.
• Strong team orientation with excellent oral and written communication skills.
• Self-starter with a focus on identifying and resolving bottlenecks.
Additional Information:
• Google Cloud Platform Engineer Required
• Hybrid Position / 2 days a week – onsite
If you are interested in this position, then please click APPLY NOW. For other opportunities available at Akkodis go to www.akkodis.com.
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits, and a 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy
The Company will consider qualified applicants with arrest and conviction records.
Akkodis is seeking a Machine Learning Engineer to drive the strategy for our internal Data Science/AI/ML platform. This position will work in a cross-functional team, collaborating with engineers, business partners, product managers, and designers. We release early and often and focus on building Mach1ML, an AI/ML enablement platform that democratizes Machine Learning across the enterprise.
Pay rate: $60-$65/hour on W2.
This position is not open to C2C at the moment.
Position Responsibilities:
• Collaborate with the Tech Anchor, Product Manager, and Product Owner to deliver MLOps platform and Gen AI solutions in GCP using Python and other tools for data scientists and business teams.
• Partner with software and ML engineers/data scientists to tackle complex AIOps and Gen AI problems.
• Manage and maintain the current CI/CD ecosystem and tools.
• Automate and continually improve CI/CD processes and release processes.
• Review and resolve issues with code/scripts.
• Standardize and innovate machine learning development practices.
• Experiment, innovate, and share knowledge with the team.
• Lead by example in using Paired Programming for cross-training, problem-solving, and speed to delivery.
• Leverage the latest ML/Gen AI/GCP/AIOps/Kubernetes technologies.
Experience Required:
• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline.
• 3+ years of experience as a backend software engineer in Python with exceptional software engineering knowledge.
• 2+ years of experience with Cloud Engineering/Services.
• Experience in MLOps and Gen AI – LLM, development of RAG and Multi-Agent Applications.
• Experience with ML workflow orchestration tools such as Airflow, Kubeflow, etc.
• Advanced working knowledge of object-oriented/object-functional programming languages (Python, C/C++).
• Experience with DevOps tools like Jenkins/Tekton.
• Experience with cloud services, preferably Google Cloud Platform (GCP) services such as Vertex AI, Cloud Functions, BigQuery, etc.
• Experience with container management solutions like Kubernetes, Docker.
• Proficiency in scripting languages like Bash, PowerShell, etc.
• Experience with Infrastructure as Code (e.g., Terraform).
Experience Preferred:
• Master’s degree in Computer Science, Machine Learning, or a related field.
• Experience working with Google Cloud Platform (GCP), particularly Google Kubernetes Engine, Terraform, and infrastructure.
• Familiarity with programming concepts such as Paired Programming, Test-Driven Development, etc.
• Knowledge of coding and software craftsmanship practices.
• Quick to learn and adapt to new technologies.
• Experience applying agile practices in solution delivery.
• Strong team orientation with excellent oral and written communication skills.
• Self-starter with a focus on identifying and resolving bottlenecks.
Additional Information:
• Google Cloud Platform Engineer Required
• Hybrid Position / 2 days a week – onsite
If you are interested in this position, then please click APPLY NOW. For other opportunities available at Akkodis go to www.akkodis.com.
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits, and a 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy
The Company will consider qualified applicants with arrest and conviction records.
