Senior Machine Learning Engineer (MLOps & Data Engineering)

Company Description ThreatXIntel is a startup cyber security company committed to protecting businesses and organizations from cyber threats. We provide customizable, cost-effective solutions tailored to meet the unique needs of startups and small businesses. Our services include cloud security, web and mobile security testing, cloud security assessment, and DevSecOps. By taking a proactive approach, we identify vulnerabilities before they can be exploited, helping clients safeguard their digital assets. At ThreatXIntel, we aim to deliver exceptional cyber security services that empower businesses to focus on growth with peace of mind.

Role Description This is a remote, part-time position for a Senior Machine Learning Engineer specializing in MLOps and Data Engineering. The role involves designing, building, and maintaining scalable machine learning workflows, developing and optimizing models, and implementing state-of-the-art algorithms. The candidate will collaborate with cross-functional teams and contribute to the architecture of data pipelines and model deployment strategies. Additional responsibilities include analyzing data patterns, ensuring the performance and reliability of ML systems, and participating in the continuous improvement of deployed models.

Qualifications Strong foundation in Computer Science with expertise in Statistics and Algorithms. Advanced understanding of Machine Learning, including Pattern Recognition and Neural Networks. Proficiency in developing and optimizing machine learning models and deploying them at scale. Experience with distributed systems, data pipelines, and cloud platforms. Team collaboration and communication skills, with the ability to work independently in a remote environment. A Master's or Ph.D. in Computer Science, Data Science, or a related field is a strong advantage.