Machine Learning Engineer
Description For Machine Learning Engineer
XperiencOps Inc. is seeking an experienced Machine Learning Engineer specializing in graph databases to join their innovative team. This role combines cutting-edge machine learning with graph database expertise, offering a unique opportunity to work on complex and impactful projects. The position requires a Ph.D. in Computer Science and extensive experience in machine learning and graph analytics.
As a Machine Learning Engineer, you'll be responsible for developing sophisticated ML models and algorithms, particularly those leveraging graph databases. You'll work with cross-functional teams to analyze complex datasets, design scalable solutions, and optimize graph database performance. The role involves both technical leadership and mentorship opportunities, making it ideal for someone who enjoys guiding junior engineers while solving challenging technical problems.
The company offers a collaborative, fast-paced environment where you can make a significant impact on product development. You'll be working with modern technologies including Python, TensorFlow/PyTorch, and Neo4j, while staying at the forefront of ML and graph database innovations. The position comes with competitive compensation and comprehensive benefits, including health, dental, and vision insurance.
This is an excellent opportunity for a seasoned ML professional who wants to join a growing startup, work on innovative solutions, and help shape the future of graph-based machine learning applications. The role offers both technical challenges and leadership opportunities, making it perfect for someone ready to take their career to the next level while making meaningful contributions to cutting-edge technology.
Responsibilities For Machine Learning Engineer
- Design, develop, and implement machine learning models and algorithms that leverage graph databases
- 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 testing and validation
- Stay updated with latest advancements in machine learning and graph databases
- Provide mentorship and guidance to junior machine learning engineers
- Document and communicate research findings, methodologies, and results
Requirements For Machine Learning Engineer
- 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
- Expertise in graph databases, Neo4j preferred, and query languages (e.g., Cypher)
- Proficiency in Python or R, and machine learning frameworks like TensorFlow or PyTorch
- Strong understanding of statistical modeling and data analysis techniques
- Experience with big data processing frameworks and cloud platforms
- Excellent problem-solving and analytical skills
- Excellent communication and collaboration skills
Benefits For Machine Learning Engineer
- 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
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