Senior Machine Learning Engineer / GraphDB / Contract-to-Hire

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.?

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Key Responsibilities
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?? 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.

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Required Skills/Qualifications
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?? 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
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?? 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.**

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