XperiencOps Inc. is seeking a talented and experienced Machine Learning Engineer with expertise in graph databases to join our innovative team. As a Machine Learning Engineer, you will play a crucial role in developing and implementing machine learning models and algorithms that drive actionable intelligence.

In this role, you will collaborate with cross-functional teams to analyze complex data sets, design and develop machine learning models, and build scalable solutions. You will also be responsible for optimizing and maintaining graph databases, to ensure high performance and efficient data retrieval.

Responsibilities:

Design, develop, and implement machine learning models and algorithms that leverage graph databases, to solve complex business problems
Analyze and interpret complex datasets to extract meaningful insights and patterns.
Collaborate with cross-functional teams to define project requirements and objectives
Optimize and maintain graph databases, focusing on performance and data retrieval efficiency
Ensure the quality and reliability of machine learning models through rigorous testing and validation
Stay updated with the latest advancements in machine learning and graph databases and incorporate them into our products and solutions
Provide mentorship and guidance to junior machine learning engineers
Document and communicate research findings, methodologies, and results to internal and external stakeholders

Requirements

Ph.D. in Computer Science with expertise in Machine Learning, Graph Theory, and related fields
5+ years of experience in designing and implementing machine learning models and algorithms, with a focus on graph analytics
Expertise in graph databases, Neo4j preferred, and their query languages (e.g., Cypher)
Proficiency in programming languages such as Python or R, as well as machine learning frameworks like TensorFlow or PyTorch
Strong understanding of statistical modeling and data analysis techniques
Experience with big data processing frameworks (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS) is a plus
Excellent problem-solving and analytical skills
Ability to work on complex problems and deliver innovative solutions
Excellent communication and collaboration skills

Benefits

Opportunity to work on cutting-edge products and make a real impact
Collaborative and fast-paced work environment
Chance to be part of a rapidly growing startup
Competitive salary and benefits package (health insurance, dental insurance, vision insurance, paid time off, etc.)

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Machine Learning Engineer