Machine Learning Data Engineer

Job not on LinkedIn

🕒 February 2

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

PHDTech

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2006

🔒 Cybersecurity

📡 Telecommunications

🤝 B2B

Cybersecurity • Telecommunications • B2B

PHDTech is a cloud-based technology solutions company that has been serving the Texas market for over 18 years. Specializing in telecommunications and security technologies, PHDTech simplifies the integration of various platforms to help businesses collaborate effectively, reduce security risks, enhance productivity, and increase return on investment. With a focus on customer service and operational efficiency, PHDTech positions itself as a trusted partner that supports organizations in navigating the complexities of modern technology to enable growth and resilience.

📋 Description

• Research, develop, and implement data and machine learning pipelines • Manage and optimize the manufacturing process • Collaborate with manufacturing data including real-time sensor readings • Build systems that learn from high dimensional and heterogeneous datasets • Work with the latest techniques from deep learning, AI for timeseries, and recommendation systems • Collaborate with product teams on system development

🎯 Requirements

• 1-3 years professional experience as an ML Engineer/Data Engineer • Advanced degrees (M.S. or PhD) in Machine Learning or related fields • Proficient with distributed data processing (e.g., Apache Beam, Spark) • Skilled in ML workflows and open source tools (e.g., MLFlow) • Proficient in Python and common ML libraries • Experience with SQL and GCP is a plus • Familiarity with unstructured data and Generative AI is a plus • Willingness to own projects end-to-end

🏖️ Benefits

• Equity and benefits • Career development pathways for growth and advancement • Commitment to a fulfilling work environment