Senior MLOps Engineer

1 week ago

Washington, Washington, D.C., United States Booz Allen Hamilton Full time

Position Overview:

As a seasoned professional in the field of machine learning operations, you understand the pivotal role that ML plays in analyzing and managing extensive datasets. Your expertise in executing statistical evaluations on operational processes using ML methodologies positions you as a vital contributor to delivering solutions tailored to client needs. In this capacity, you will establish the foundational systems necessary for the effective and ethical training, testing, deployment, and maintenance of data-driven models.

Key Responsibilities:

  • Steer the development of essential solutions by leveraging optimal ML algorithms and integrating cutting-edge technologies.
  • Disseminate your expertise to a broad network of ML engineers within the organization, facilitating the delivery of top-tier solutions that enhance AI/ML initiatives across various sectors.
  • Utilize your advanced consulting abilities and comprehensive technical knowledge to assist clients in navigating the complexities of ML algorithms, tools, and frameworks.

Qualifications:

  • 7+ years of experience in ML, data science, data architecture, MLOps, or software engineering.
  • Proven track record in integrating ML operations into AI/ML implementations.
  • Familiarity with model experiment tracking methodologies, including MLFlow.
  • Experience deploying ML models using cloud platforms such as Azure, AWS, or GCP.
  • Hands-on experience in developing or deploying ML models within Azure environments.
  • In-depth understanding of AI/ML workflows and algorithms.
  • Eligibility to obtain a security clearance.
  • Bachelor's degree in a relevant field.

Preferred Qualifications:

  • Experience with large language models (LLMs).
  • Experience in deploying ML models in production environments on AWS or Azure.
  • Familiarity with AWS Sagemaker, Azure ML Studio, or Databricks.
  • Bachelor's degree in Computer Science, Data Science, Mathematics, or a related discipline; a Master's degree is a plus.

Clearance Requirements:

Selected candidates will undergo a security investigation and may need to meet eligibility criteria for access to classified information.

Career Development:

Grow Your Skills:

We prioritize your professional growth, offering various avenues for career advancement, including upskilling programs, tuition reimbursement, mentoring, and networking opportunities.

Inclusive Environment:

We believe diverse perspectives foster innovation. Our culture of respect and opportunity allows you to bring your authentic self to work, supported by numerous business resource groups and community-building initiatives.

Wellness Support:

Our extensive benefits package includes wellness programs, paid holidays, parental leave, a competitive 401(k) match, and more. We offer flexible schedules and remote work options to help you maintain a balanced lifestyle.

Compensation Structure:

We recognize your contributions through a comprehensive compensation package that includes health, life, disability, financial, and retirement benefits, as well as professional development and paid leave. Salary ranges are determined by various factors, including location and individual qualifications.

Work Model:

Our flexible work culture emphasizes collaboration, whether in-person or remote, to ensure the best outcomes for our teams and clients.

Equal Opportunity Employer:

We are committed to equal employment opportunities and affirmative action, empowering all individuals to drive change regardless of their background or identity.

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