ML/Data Engineer

Job Title: ML/Data Engineer Location: Reston VA (3 Days onsite Per week) Duration: 09+ Months Contract Job id – 175695 Overview We are seeking a highly skilled ML/Data Engineer to lead model development, experiment tracking, and end to end machine learning operations across Domino and Amazon SageMaker. This role will drive model lifecycle quality, governance alignment, and engineering excellence. Responsibilities • Own the monitoring, tracking, and maintenance of ML models across Domino and SageMaker platforms. • Implement MLflow for parameters, metrics, artifact management, and end to end lineage. • Build and maintain scalable data pipelines for training, validation, and inference processes. • Develop custom evaluation metrics, explainability components, and fairness/bias testing frameworks. • Package models for deployment and support model lifecycle transitions across environments. • Collaborate with data scientists, engineering teams, and governance stakeholders to ensure compliance and operational readiness. Required Skills & Experience • Strong experience with AWS and ML engineering • Proficiency in Python and MLflow • Hands on expertise with Domino and SageMaker SDKs • Experience with feature engineering and scalable data pipelines • Knowledge of model validation, explainability, and bias/fairness tooling • Familiarity with Git based workflows, version control, and MLOps practices Focused on manipulating data in a software engineering capacity. Some of that data might live in relational systems, but its increasingly moving towards NoSQL systems and data lakes. Normalize databases and ascertain the structure of the data meets the requirements of the applications that are accessing the information. Construct datasets that are easy to analyze and support company requirements. Combine raw information from different sources to create consistent and machine-readable formats. Skills: This IT role requires a significant set of technical skills, including a deep knowledge of SQL, data modeling, and tools like Spark/Hive/Airflow. Education/Work Exprerience: 1. Bachelor degree in Computer Science, Information Systems or related field 1. Post-graduate degree desired 1. Professional certification(s) desired 15+ years relevant experience About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: • Pay any fee to be considered for, submitted to, or selected for any opportunity. • Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. • Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $85-90/hr. The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com Add your LinkedIn Hashtag at end of the job description