Senior Machine Learning Ops Engineer
Senior Machine Learning Ops Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
$ 140000 - 190000
1 Vacancy
Job Description
Overview
In todays rapidly evolving technology landscape an organizations data has never been a more important aspect in achieving mission and business goals. Our AI & Data Exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques given the challenge.
AtSteampunk our goal is to build and execute a data strategy for our clients to coordinate data collection and generation to align the organization and its data assets in support of the mission and ultimately to realize mission goals with the strongest effectiveness possible.
For our clients data is a strategic asset. They are looking to become a factsbased datadriven customerfocused organization. To help realize this goal theyare leveraging visual analytics platforms to analyze visualize and share information. At Steampunk you will design and develop solutions to highimpact complex data problems working with the best and data practitioners around.
Contributions
We are seeking a Senior ML Ops Engineer who specializes in assessing and developing AI/ML infrastructure with a focus on Generative AI (Gen AI) and RetrievalAugmented Generation (RAG) pipelines. In this role you will lead efforts to build optimize and scale advanced AI/ML infrastructure that supports Federal use cases. The ideal candidate has a deep understanding of AI/ML systems and is passionate about developing productiongrade pipelines that deliver results.
- Assess and design AI/ML infrastructure to support scalable and secure deployment of machine learning models including generative AI pipelines.
- Build develop and optimize Gen AI and RAG pipelines ensuring seamless integration with existing systems and infrastructure.
- Evaluate and improve the performance reliability and scalability of AI/ML pipelines identifying and addressing bottlenecks.
- Implement MLOps best practices for automating model deployment monitoring and retraining processes in production.
- Collaborate with Data Scientists and Software Engineers to transition models from research into productiongrade pipelines.
- Continuously monitor AI/ML infrastructure and pipelines to ensure high performance security and compliance.
- Use cloudnative services (AWS Azure GCP) to deploy scalable and costeffective solutions including leveraging tools such as AWS SageMaker Azure OpenAI and others.
- Apply DevSecOps principles to maintain secure reliable operations for AI/ML workflows including CI/CD integration.
- Stay uptodate on the latest research trends and tools in AI/ML implementing cuttingedge technologies into infrastructure solutions.
- Contribute to the growth and innovation of our Data Exploitation Practice by delivering bestinclass AI/ML infrastructure solutions.
- You will contribute to the growth of our AI & Data Exploitation Practice!
Qualifications
- Ability to hold a position of public trust with the US government.
- Masters degree in related program and 8 years of experience 7 of which must be relevant); OR
- Bachelors degree in related program and 10 years of relevant experience; OR
- No degree and 16 years of relevant experience
- Possesses at least one professional certification relevant to the technical service provided. Maintain a certification relevant to the product being deployed and/or maintained.
- 7 years of experience in AI/ML infrastructure assessment development and deployment with a focus on productiongrade pipeline development.
- Proven experience in building and scaling AI/ML pipelines including generative AI models like GANs VAEs and Transformerbased architectures.
- Strong proficiency in Python and best practices for scalable and efficient coding; experience with R is a plus.
- Experience with AI/ML frameworks such as TensorFlow PyTorch Keras or JAX and a solid understanding of neural network architectures.
- Expertise in cloud platforms (AWS Azure GCP) and experience with AI/ML tools like AWS SageMaker Azure OpenAI or similar.
- Practical experience with MLOps tools and frameworks including automation of deployment monitoring and model management.
- Familiarity with DevSecOps practices to ensure secure and compliant deployment of AI/ML solutions.
- Strong knowledge of data pipeline tools and data visualization platforms such as Tableau Power BI or D3.
- Experience with version control (Git) Bash Unix commands and cloud infrastructure automation tools.
- Familiarity with search technologies like Elasticsearch AWS Kendra or Azure Cognitive Search is a plus.
- This role focuses on AI/ML infrastructure assessment and pipeline development to support cuttingedge AI solutions particularly around Generative AI and RAG for Federal use cases. Youll have the opportunity to lead and influence the design and scalability of AI systems for impactful projects.
About steampunk
Steampunk relies on several factors to determine salary including but not limited to geographic location contractual requirements education knowledge skills competencies and experience. The projected compensation range for this position is $140000 to $190000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunks total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry bringing new thinking to clients in the Homeland Federal Civilian Health and DoD sectors. Through our HumanCentered delivery methodology we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employeeowned company we focus on investing in our employees to enable them to do the greatest work of their careers and rewarding them for outstanding contributions to our growth. If you want to learn more about our story visit .
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability status protected veteran status or any other characteristic protected by participates in the EVerify program.
Required Experience:
Senior IC
Employment Type
Unclear
