Machine Learning Engineer

Work set-up: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
United States

Offer summary

Qualifications:

Bachelor's or higher degree in Computer Science, Data Science, or related field., Experience in developing and deploying machine learning models., Proficiency in Python, SQL, and MLOps practices., Experience with cloud platforms like AWS or Google Cloud, especially SageMaker..

Key responsibilities:

  • Design and implement scalable machine learning solutions.
  • Develop and maintain production data pipelines and APIs.
  • Collaborate with cross-functional teams to drive strategy and ensure business value.
  • Write production-quality code and manage deployment processes.

Tiger Analytics logo
Tiger Analytics XLarge http://www.tigeranalytics.com
1001 - 5000 Employees
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Job description

Tiger Analytics is looking for experienced Machine Learning Engineers with Gen AI experience to join our fastgrowing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for topnotch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

  • Providing solutions for the deployment, execution, validation, monitoring, and improvement of MLE solutions
  • Creating Scalable Machine Learning systems .
  • Building reusable production data pipelines for implemented machine learning models
  • Writing productionquality code and libraries that can be packaged as containers, installed and deployed

    • You will collaborate with crossfunctional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

      Requirements

      MLE Skillsets needed:

      • Good exposure to Model development and deployment

      • Experience developing API’s

      • Python based application using CICD

      • AWS or Google cloud environment experience

      Required Skills:

      • Proficiency in SQL, Python, and MLOps.

      • Experience with AWS services, including SageMaker

      • Familiarity with DevOps concepts and cloud based CICD tools

      • Knowledge of Snowflake and Oracle databases.

      • Experience with GitHub for version control.

      • Strong understanding of Agile methodologies.

      Preferred Qualifications:

      • Passion for learning and staying updated with new technologies.

      • Persistent and proactive approach to problemsolving.

      • Strong analytical mindset.

      • Knowledge of the insurance industry is a plus.

      • Exposure to GenAI and LLMOps(Large Language Model Operations) a differentiator, but not required.

      Benefits

      This position offers an excellent opportunity for significant career development in a fastgrowing and challenging entrepreneurial environment with a high degree of individual responsibility.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Machine LearningModel BuildingData ScienceOracle CRMAgile Software DevelopmentPython (Programming Language)AWS Cloud ServicesSQL (Programming Language)MLOps (Machine Learning Operations)Accounting SoftwareSnowflake (Data Warehouse)CI/CDGit (Version Control System)Application Programming Interface (API)DevOpsInsurance Law

Other Skills

  • Analytical Thinking
  • Problem Solving
Are you interested?

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