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

Role Snapshot:

• Start Date: Immediate openings available
• Company: Pathremotenetwfh
• Position: Senior Machine Learning Engineer / Graphdb / Contract-to-hire
• Location: Remote
• Compensation: a competitive salary

 

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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? Apply Job!

 

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