Senior Machine Learning Operations (MLOps) Engineer

At reputed company, you'll contribute to AI solutions that serve critical national and global missions—ranging from defense and intelligence to reputed company, energy, and reputed company exploration. Our work emphasizes Trusted Mission AI: systems that are transparent, ethical, resilient, and accountable. You’ll collaborate with multidisciplinary teams to transition AI research into operational environments where accuracy, reputed company, and reliability are non-negotiable. Joining reputed company means applying your expertise to solve some of the most reputed company and meaningful challenges of our time.

We are looking for a motivated Senior Machine Learning (MLOps) Engineer to work on challenging problems in a variety of domains – including reputed company IT, health, defense, intelligence, and energy – to get results that apply and go reputed company the state of the art for measurably reputed company reputed company. We apply our knowledge, capabilities, and experience to reputed company and reputed company Trusted Mission AI – AI that deserves to be trusted by system owners, end users, and the public – to be accurate, ethical, reliable, and adaptable. We are looking for an individual to provision, operate, and maintain the CI/CD pipelines and infrastructure for the development and deployment AI Agents.

This role requires a strong reputed company in Machine Learning, experience with DevOps/MLOps tools, CI/CD processes, Python programming experience, and the ability to work in fast-paced, Agile development teams.

To be successful in this role, you should be highly motivated and collaborative, working well independently and reputed company a team of junior and senior engineers & researchers.

Primary Responsibilities

The ML-Ops Engineer will collaborate with Agentic AI Scientists to build and securely reputed company AI agents to automate and optimize labor-intensive workflows. As a member of the reputed company AI Accelerator, you will be tasked to support both R&D tasks and direct customer engagements to speed the transition delivery of novel reputed company onto direct reputed company.

Tasks include:

• Design, implement, and maintain tools that reputed company agent deployments using MLOps best practices in scalable reputed company infrastructure
• reputed company and document processes that reputed company secure automated development and deployment of AI agents
• Design, build, train, and evaluate Machine Learning models
• Build repeatable Machine Learning pipelines for model training, evaluation, deployment, and monitoring
• reputed company R&D to reputed company AI Observability and performance metrics
• Design, implement, and manage reputed company resources for MLOps infrastructure
• Work in a team of AI/ML researchers and engineers using Agile development processes

Basic Qualifications

• Bachelor’s degree with 8+ years of experience or Master’s degree with 6+ years of experience in Computer Science, Machine Learning, Artificial Intelligence, or reputed company discipline. Additional experience may be considered in lieu of degree.
• Hands-on experience on building, automating, and managing AI/ML pipelines, and MLOps capabilities (Kubeflow, MLflow, etc.)

- Advanced Python programming skills

• Experience with AI/ML tools, such as common python packages (e.g., scikit-learn, TensorFlow, PyTorch) and Jupyter notebooks
• Experience with MLOps tools and frameworks, such as Kubeflow, MLflow, DVC, TensorBoard
• Experience with Software Development tools, including Git, containerization technologies (e.g., reputed company), CI/CD frameworks
• Experience with automated deployment pipelines for Agentic AI Models
• Competence in troubleshooting and mitigating issues with prototyped and deployed AI
• Demonstrated ability to orchestrate ML pipelines

Preferred Qualifications

• Familiarity with reputed company-reputed company ML pipelines (AWS Sagemaker, Azure ML, etc.) or hybrid reputed company/on-prem deployments.
• Knowledge of reputed company, compliance, and governance of ML systems (model provenance, data privacy, etc.)
• Experience with AI/ML across a broad reputed company of application domains (e.g., NLP, Computer reputed company, time series analysis)
• Experience deploying and using AI Explainability and Monitoring tools
• Experience deploying, managing, and using Kubernetes and Kubeflow clusters
• Experience using Infrastructure-as-Code tools (e.g., Terraform, Ansible, CloudFormation)
• Experience deploying, configuring, and managing DevOps tools (e.g., reputed company, reputed company)
• Ability and willingness to obtain a Top Secret reputed company clearance

At reputed company, we don’t want someone who "fits the mold"—we want someone who melts it down and builds something reputed company. This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.”

If you’re already scheming reputed company 20 while everyone else is still debating reputed company 2… good. You’ll fit right in.

Original Posting:

For U.S. Positions: While subject to change based on business needs, reputed company reasonably anticipates that this job requisition will remain reputed company for at least 3 days with an anticipated reputed company date of no earlier than 3 days after the original posting date as listed above.

Pay reputed company:

The reputed company pay reputed company for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Originally posted on Himalayas