Fractal

Machine Learning Engineer

Fractal Minneapolis, MN

Direct message the job poster from Fractal

Gaurav Singh

Gaurav Singh

Manager 🎮 at Fractal.ai | Technical Recruiter | Hiring Data Engineer, Data Scientist, Data Analysts, BI Developers, Data Modelers Contact:…

Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies.


Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.


Role Brief:

If you are an extraordinary developer and who loves to push the boundaries to solve complex

business problems using creative solutions, then we wish to talk with you. As a Cloud AI/ML Engineer (Azure), you will work in the Technology team that helps deliver our Cloud Engineering

offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating,

building and maintaining technology services.


Education Qualification: B.E / B.Tech, BCA, MCA equivalent

Location: Bellevue/San Francisco/Los Angeles/New York

Experience: 10+ years

Responsibilities:


  • Be an integral part of large-scale client business development and delivery engagements.
  • Develop the software and systems needed for end-to-end execution on large projects.
  • Work across all phases of SDLC and use Software Engineering principles to build scaled.
  • Build the knowledge base required to deliver increasingly complex technology projects.
  • Ensure client requirements and priorities are well defined and communicated to the offsite team.
  • Work closely with offsite team, including coding and reviews, to deliver on aligned objectives.
  • Provide weekly updates on progress, task prioritization and next steps to the client.


Qualifications & Experience

  • A bachelor’s degree in computer science or related field with 10 years of technology experience
  • Strong experience in machine learning model development, deployment, and monitoring.
  • Software development experience using:
  • Object-oriented languages (e.g., Python, PySpark)
  • Exposure on MLOps, including testing and deployment.
  • Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure Event Hub, Azure DataBricks, MLFlow etc.
  • Good knowledge of Azure, Python, Spark and databricks is critical.
  • Exposure to CI/CD deployment pipeline.
  • Ability to work in a team in an agile setting, familiarity with JIRA and clear understanding of how GIT works or any version control tools.
  • Ability to design and implement cloud solutions and ability to build MLOps pipelines using Azure cloud capabilities.
  • Good understanding of how to enable analytics using cloud technology and ML-Ops.
  • Experience on building dashboards using PowerBI and PowerApps.
  • Exposure to Model performance metrics and Bias detection.
  • Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus.
  • Proven track record in keeping existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around systems and applications in the Azure.
  • Characteristics of a forward thinker and self-starter.


Pay:

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $130,000 - $150,000. In addition, you may be eligible for a discretionary bonus for the current performance period.


Benefits:

As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.


Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

  • Seniority level

    Mid-Senior level
  • Employment type

    Full-time
  • Job function

    Information Technology and Engineering
  • Industries

    Business Consulting and Services

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