AI/ML at Adidev Technologies Inc
Chicago, IL 60604, USA -
Full Time


Start Date

Immediate

Expiry Date

30 Jul, 25

Salary

0.0

Posted On

01 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Technology, Azure, It, Google, Fedex, Apple, Python, Spotify, Platforms, Aws, Google Cloud, Deep Learning, Consultative Services

Industry

Information Technology/IT

Description

EXPERIENCE PUTTING ML/AI INTO PRODUCTION, AND ABILITY TO TALK THROUGH BEST PRACTICES AND PITFALLS.

How to Apply:
Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.

Responsibilities

(THIS ROLE IS OPEN TO US CITIZENS, GREEN CARD HOLDERS, GC-EAD ONLY. WE DO NOT SPONSOR VISAS.)

Summary:
Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.

KEY RESPONSIBILITIES:

  • Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
  • Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
  • Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
  • Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
  • Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
  • Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
  • Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
  • Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
  • Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.
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