AI/ML Engineer

Overview

On Site
Depends on Experience
Full Time

Skills

Python
GCP
AI/ML
Java

Job Details

Miracle software Systems is looking for Senior AI/ML Software Engineer (Java/Python, Google Cloud Platform) at MI location. please go through the below JD and let me know your availability for this position.

Requirement Details:

Position: Senior AI/ML Software Engineer (Java/Python, Google Cloud Platform)

Location: MI

Duration: Longterm

About the Role:We're seeking a highly experienced and hands-on Senior AI/ML Software Engineer to lead the design, development, and deployment of cutting-edge AI/ML solutions. This role requires deep expertise in Python, AI/ML concepts (including Generative AI, LLMs, and Agentic AI), and the Google Cloud Platform. You'll be instrumental in guiding teams, evaluating AI opportunities, and setting strategic priorities.

Key Responsibilities:

  • Lead the hands-on development and deployment of robust AI/ML solutions.

  • Provide expert consulting and guidance to teams on AI best practices and opportunities.

  • Evaluate potential AI applications and help prioritize initiatives.

  • Contribute to the full software development lifecycle, ensuring high-quality, scalable solutions.

Required Skills & Experience:

  • AI/ML Implementation (10+ years): Extensive hands-on experience building and deploying production-grade AI/ML solutions. This includes a strong understanding and practical application of:

    • Python: Must have significant hands-on experience.

    • AI/ML Concepts: Deep understanding of core AI/ML principles.

    • Generative AI (GenAI): Practical experience with generative models.

    • Large Language Models (LLM): Experience working with and implementing LLMs.

    • Agentic AI: Familiarity and experience with agentic AI systems.

  • Strong Development (5+ years): Proficiency in at least one of the following:

    • Java

    • Python

    • Experience with Node.js, SQL, and Google BigQuery for specific project needs.

  • Google Cloud Platform (Google Cloud Platform): Essential hands-on experience with various Google Cloud Platform services, demonstrating proficiency in deploying and managing AI/ML workloads within the Google Cloud Platform ecosystem.

  • Consulting/Guidance: Proven ability to effectively advise technical teams, assess AI opportunities, and define strategic priorities.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.