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Rackspace

Data Science Engineer I - US

Hybrid Data
Added
less than a minute ago
Location
Type
Full time
Salary
$70K - $119K

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Related skills

python sql postgresql rest api react

Job Summary:

We are expanding our team of motivated technologists to build AI and ML solutions for our customer. Specifically looking for an ML Engineer who is passionate about helping customers build Data Science and AI/ML solutions at scale. Your insight and expertise will help our delivery teams build ML solutions and build solutions across Data Science, Machine learning, Generative AI, databases, security, and automation. In addition, you will work with mid-tier technologies that include application integration, security, and much more!

This position is ideal for candidates with a strong foundation in machine learning principles, data processing, and software engineering. You will support the design, development, and deployment of ML models and pipelines, as well as assist in ingesting and transforming data for machine learning use cases.

Work Location: Remote

Key Responsibilities:

  • Assist in developing, training, and validating machine learning models for real-world applications (e.g., classification, prediction, and recommendation systems).
  • Build and maintain data ingestion pipelines from structured and unstructured sources using Python and SQL-based tools
  • Perform data cleaning, normalization, and feature engineering to prepare high-quality datasets for ML training and evaluation.
  • Collaborate on ML projects such as outcome prediction systems, image classification models, and intelligent search interfaces.
  • Contribute to building interactive applications by integrating ML models into frontend/backend systems (e.g., React, Django, REST APIs).
  • Participate in MLOps workflows, including model versioning, basic deployment tasks, and experiment tracking.
  • Document data flows, ML experiments, and application logic consistently.
  • Attend Agile meetings and collaborate with peers through code reviews and sprint activities.

    • Required Qualifications:

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
  • Experience in machine learning, data engineering, or software development roles (internships or academic projects acceptable).
  • Solid understanding of supervised learning, classification, and data preprocessing techniques.
  • Experience with data engineering concepts, including SQL, PostgreSQL, and REST API integration
  • Basic knowledge of data ingestion and transformation concepts.
  • Proficiency in Python and common ML libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow or PyTorch).
  • Familiarity with full-stack or web-based ML applications (e.g., React, Django, or Android Studio projects).
  • Familiarity with SQL and data wrangling tools.
  • Experience with version control tools like Git.
  • Strong problem-solving skills and attention to detail.
  • Effective communication and documentation skills.
  • Enthusiasm for learning new tools and growing within a collaborative team environment

    • Preferred Qualifications:

  • Exposure to cloud platforms such as AWS, GCP, or Azure.
  • Experience with pyton, Spark, Airflow, or data pipeline frameworks.
  • Understanding of basic data architecture concepts (e.g., data lakes, warehouses).
  • Participation in ML/DS projects, hackathons, or Kaggle competitions.

    • Sponsorship

  • This role is not sponsorship eligible
  • Candidates need to be legally allowed to work in the US for any employer

    • Additional Information

    The following information isrequiredby pay transparency legislation in the following states: CA, CO, HI, NY and WA. This information appliesonlytoindividuals working inthese states.

    The anticipated payrangeforColoradois: $ 69,900 - $102,520

    The anticipated startingpayrangefor California, New York City and Washingtonis: $ 81,500 - 119,460

    Based on eligibility, compensation for the role may include variable compensation in the form of bonus, commissions, or other discretionary payments.

    These discretionary payments are based on company and/or individual performance, and may change at any time.

    Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience,licenses and certifications,and specific work location.

    Informationon

    benefitsoffered ishere.

    About Rackspace Technology

    We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

    More on Rackspace Technology

    Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

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