DevSavant
AN
DataScienceEngineer(Python)
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Science Engineer (Python) at DevSavant. Skills: Python, Data Pipelines, ML Systems, Large-scale data processing, Cloud platforms (GCP), MLOps. Design, develop, test, and maintain scalable data pipelines using Python and tools for large-scale data processing (like Spark, Dask, or similar on GCP). Design and take ownership of key parts of our ML systems, making sure they are reliable, efficient, and can grow”
What You'll Achieve.
Build production-ready data systems; Make a big impact on a data-driven company; Ensure ML systems are reliable, efficient, and can grow; Ensure data pipelines are scalable
Industry & Context.
Excellent problem-solver; Good at fixing complex issues in systems that run on many computers; Good at making systems perform better and handle more data
Candidates who can work during US business hours
What They're Looking For.
Must Have
3-5+ years of work experience in software engineering, with a focus on data engineering, ML engineering, or building applications that use a lot of data, Expert in Python, Understanding of object-oriented design, Understanding of software system design, Experience building high-quality, testable code for production, Strong, hands-on experience with tools for handling large amounts of data like Apache Spark (PySpark), Dask, or similar, Solid experience with cloud platforms (GCP is highly preferred), Experience putting services live on cloud platforms, Experience managing cloud platform services, Experience making cloud platform services handle more users (e. g. , Docker, Cloud Run, GKE), Experience working with large data systems (e. g. , Dataproc, BigQuery), SQL skills, Experience working with large, complex datasets, Deep understanding of machine learning ideas, Deep understanding of the full process of creating a model, Deep understanding of MLOps principles, Excellent problem-solver, Good at fixing complex issues in systems that run on many computers, Good at making systems perform better and handle more data, Ability to explain complex technical ideas and system design decisions clearly and effectively in English, Advanced English proficiency (B2-C1), Excellent communication skills, Excellent teamwork skills, Excellent consulting skills, Passion for building strong, scalable systems, Eagerness to guide and work with a team, Care deeply about code quality, Care deeply about system reliability, Care deeply about writing good documentation
Nice to Have
Experience in or passion for the Subscription Economy, especially in media and entertainment, Deep knowledge of specific GCP services like Dataproc, Dataflow, Cloud Composer, Vertex AI, or Kubernetes Engine, Experience building and maintaining Python code (libraries) used by many, Contributions to open-source projects, Advanced knowledge of MLOps tools and ways to manage workflows (e. g. Cloudbuild, CloudRun)
What You'll Do.
and maintain scalable data pipelines using Python and tools for large-scale data processing (like Spark
Design and take ownership of key parts of our ML systems
making sure they are reliable
Set up and manage MLOps practices
including automatic updates for machine learning models (CI/CD)
and automated launch plans
Improve and manage data processing jobs on cloud platforms (GCP: Dataproc
Work with data scientists to get machine learning models ready for production and connect them to our data systems
Write detailed documents for the system designs
and systems you create and manage
Fix complex technical problems in data systems that run on many computers and in ML pipelines
How You'll Work.
Team & Collaboration
Work closely with data scientists and engineers to create strong, efficient, and scalable systems; Work with data scientists to get machine learning models ready for production and connect them to our data systems; Guide and work with a team
Communication Scope
Explain complex technical ideas and system design decisions clearly and effectively in English; Excellent communication skills
Full Job Description
At DevSavant, we are a trusted technology partner specializing in Software Development, Data Engineering, AI/Machine Learning, Cloud Solutions, Automation Testing, and UI/UX Design. We deliver innovative, high-quality solutions with a focus on excellence and results. Our people are at the heart of everything we do, fostering a culture of growth and well-being. Join us and thrive in a supportive, success-driven environment. We're looking for a talented Data Scientist with expert Python skills and experience in processing large amounts of data to join our client's team. You'll be a key player in designing, building, and making our main data pipelines and ML systems (that power our advanced analytics and machine learning models) able to handle more. You'll work closely with data scientists and engineers to create strong, efficient, and scalable systems. If you love solving complex technical problems, building production-ready data systems, and want to make a big impact on a data-driven company, this job is for you! Antenna, our client, is a remote-first company, and we are looking for candidates who can work during US business hours. You will report to the Data Science Lead. What You’ll Do - Design, develop, test, and maintain strong and scalable data pipelines using Python and tools for large-scale data processing (like Spark, Dask, or similar on GCP). - Design and take ownership of key parts of our ML systems, making sure they are reliable, efficient, and can grow. - Set up and manage MLOps practices, including automatic updates for machine learning models (CI/CD), model monitoring, and automated launch plans. - Improve and manage data processing jobs on cloud platforms (GCP: Dataproc, BigQuery, Cloud Run, Cloud Build). - Work with data scientists to get machine learning models ready for production and connect them to our data systems. - Write detailed documents for the system designs, code, and systems you create and manage. - Fix complex technical problems in data
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