AI/ML Engineer

  • Phoenix, AZ
  • Posted 2 days ago | Updated 2 days ago

Overview

On Site
Depends on Experience
Contract - Independent
Contract - W2

Skills

Python
SQL
Docker & Kubernetes
Fast API
Flask
MLOps
Machine Learning
LLMs
LangChain or similar orchestrator
Vector DB or similar
GCP
Google AutoML
Vertex AI & Build tools
Gen AI
including Gemini
OpenAI
Claud and exposure to open-source Large Language Models (LLMs).
AI/ML products using technologies such as LLMs
neural networks
RAG and Supervised Tuning techniques.

Job Details

Hi,

It was nice talking you on LinkedIn. Here I m sharing the complete job details with our direct client, kindly go through it and share your thoughts.

Brief about M3bi:

M3bi is a new generation IT Services Company specializing in Business Intelligence, Data Warehousing & Data Analytics! The team at M3bi stands for enabling enterprises with an enriched and controlled view of their business and data. Our primary focus is around data analytics, testing automation and end-to-end delivery of Data Management programs for large Financial Services and Healthcare clients. Attached herewith is the Job Description for the role If you or someone you know fits the profile description and is interested , please send across your profile to

Role : AI/ML Engineer

Relocation : Phoenix, AZ

Duration : Long Term

Tech Stack - Python, SQL, Docker & Kubernetes, Fast API, Flask, MLOps, Machine Learning, LLM s, LangChain or similar orchestrator, Vector DB or similar, Google Cloud Platform, Google AutoML, Vertex AI & Build tools

Job Duties:

  • Design and implement scalable MLOps supportive data pipelines for data ingestion, processing, and storage.
  • Experience deploying models with MLOps tools such as Vertex Pipelines, Kubeflow, or similar platforms.
  • Experience implementing and supporting end-to-end Machine Learning workflows and patterns.
  • Expert level programming skills in Python and experience with Data Science and ML packages and frameworks.
  • Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD practices.
  • Experience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, or related frameworks.
  • Experience and knowledge in the most recent advancements in Gen AI, including Gemini, OpenAI, Claud and exposure to open-source Large Language Models (LLMs).
  • Experience building AI/ML products using technologies such as LLMs, neural networks and others.
  • Experience with RAG and Supervised Tuning techniques.
  • Strong distributed systems skills and knowledge.
  • Development experience of at least one public cloud provider, Preferably Google Cloud Platform.
  • Excellent analytical, written, and verbal communication skills.

Thanks & Regards

Mallikarjun Gajji

Assistant Manager - Talent Acquisition (USA)
+1 I

Zensar Technologies, USA.

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