Senior Machine Learning Engineer / GraphDB / Contract-to-Hire Fairfax, Virginia **100% Remote** Contract $70/hr - $100/hr **Job Description** Our client?is a technology-driven company specializing in innovative solutions that empower organizations to harness the power of data and machine learning. With expertise in advanced analytics, cloud computing, and cutting-edge technologies like graph data science, they develop scalable, intelligent systems to solve complex business challenges. Dedicated to delivering value through innovation, the company serves a diverse range of industries, including healthcare, finance, and government sectors. They are currently seeking a highly skilled and experienced Senior Machine Learning Engineer with a strong background in graph data science and machine learning as a service (MLaaS) to join their team. In this role, you will leverage your expertise to design, develop, and deploy advanced machine learning solutions that utilize graph-based techniques and cloud-based MLaaS platforms. Collaborating with multidisciplinary teams, you will solve complex challenges, enhance data-driven decision-making, and contribute to high-impact projects in a fast-paced, collaborative environment. This is a fully remote, contract-to-hire position that requires US Citizenship. Public Trust clearance will be required/sponsored, with potential need for higher clearances down the road.? ? **Key Responsibilities** ? + Design and implement scalable machine learning models with a focus on graph data science, leveraging graph-based algorithms and tools to solve business-critical problems. + Utilize graph databases (e.g., Neo4j, TigerGraph) to model, query, and analyze complex relationships within data. + Develop, optimize, and maintain end-to-end machine learning pipelines, incorporating MLaaS solutions from cloud providers (AWS SageMaker, Google Vertex AI, Azure ML, etc.). + Collaborate with data scientists to preprocess and analyze graph-structured data, extracting meaningful insights and relationships. + Deploy machine learning models in production environments and ensure their scalability, performance, and reliability. + Mentor junior engineers and provide technical leadership in graph data science, MLaaS, and machine learning best practices. + Stay current with advancements in machine learning, graph data science, and related technologies to recommend and implement innovative solutions. + Partner with software engineers to integrate machine learning and graph data science solutions into existing applications and workflows. + Identify and address technical risks and challenges while adhering to project deadlines and objectives. ? **Required Skills/Qualifications** ? + Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field (Ph.D. preferred). + US Citizenship. Current Public Trust clearance preferred, but not required.? + 6+ years of professional experience in machine learning, data science, or related roles. + Proficiency in Python, R, or similar programming languages, with expertise in machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn. + Extensive experience with graph data science techniques and tools (e.g., Graph Neural Networks, PageRank, community detection) and graph databases (e.g., Neo4j, TigerGraph). + Knowledge of cloud-based MLaaS platforms, including deployment, monitoring, and optimization of machine learning models using AWS SageMaker, Google Vertex AI, or Azure ML. + Strong understanding of statistical modeling, data mining, and deep learning techniques. + Hands-on experience with big data tools and frameworks such as Spark, Hadoop, or similar. + Proficiency in containerization tools (Docker) and orchestration platforms (Kubernetes) for deploying ML solutions. + Previous experience working with graph data in domains such as fraud detection, social network analysis, or drug discovery is highly desirable. ? **The Offer** ? + Competitive salary and equity offering. + Comprehensive health, dental, and vision insurance. + 401(k) with company match. + Flexible hybrid work environment. + Opportunities for professional development and career growth. ****Applicants must be currently authorized to work in the US on a full-time basis now and in the future.**** \#LI-LT2? **You will receive the following benefits:** + Medical Insurance - Four medical plans to choose from for you and your family + Dental & Orthodontia Benefits + Vision Benefits + Health Savings Account (HSA) + Health and Dependent Care Flexible Spending Accounts + Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance + Hospital Indemnity Insurance + 401(k) including match with pre and post-tax options + Paid Sick Time Leave + Legal and Identity Protection Plans + Pre-tax Commuter Benefit + 529 College Saver Plan Motion Recruitment Partners (MRP) is an Equal Opportunity Employer, including Veterans/Disability/Women. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance. **Posted by:** Lindsay Troyer **Specialization:** Machine Learning/Data Science