ML Ops Engineer

Donato Technologies Inc; Sunnyvale (CA); Remote; USD 120,000 - 150,000; Full time

Job summary

A technology company is looking for an experienced ML Ops Engineer. Candidates should have 6+ years of experience with Kubernetes and Python, along with strong skills in AWS and MongoDB. The role involves designing cloud solutions and building MLOps pipelines. Excellent communication skills and a collaborative spirit are essential for success in this position. The company offers flexibility in location, with options for remote work.

Qualifications

• 6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB, and AWS.
• Experience working with cloud computing and database systems.
• Good communication skills and ability to work in a team.

Responsibilities

• Design and implement cloud solutions for ML Ops.
• Build and maintain CI/CD pipelines for ML systems.
• Collaborate with cross-functional teams to meet project goals.

Skills

Python

Kubernetes

MongoDB

AWS

Microservices

ML operations

CI/CD pipelines

Apache SOLR

Linux administration

MLOps pipeline creation

Tools

Docker

Kube Flow

MLFlow

DataRobot

Airflow

Job description

Greetings from Donato Technologies Inc.

We have an immediate opening with my client. If you are looking for a new project, please send me a copy of your updated resume

ML Ops Engineer

Location: Austin, TX OR Sunnyvale, CA

Look for candidate with in the time zone

Overview

Job Summary – For this role, we are looking for ML Ops Engineer with Kubernetes and Python.

Experience Required

• 6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS

Technical skills

• Python
• Kubernetes
• Mongo DB
• Microservices
• AWS
• SOLR
• ML operations, CI/CD pipelines, LLM
• Good understanding of Apache SOLR
• Proficient with Linux administration
• Knowledge of ML models and LLM
• Ability to understand tools used by data scientists and experience with software development and test automation
• Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP)

Qualifications

• Experience working with cloud computing and database systems
• Experience building custom integrations between cloud-based systems using APIs
• Experience developing and maintaining ML systems built with open-source tools
• Experience with MLOps Frameworks like Kube Flow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes
• Experience developing containers and Kubernetes in cloud computing environments
• Familiarity with one or more data-oriented workflow orchestration frameworks (Kubeflow, Airflow, Argo, etc.)
• Ability to translate business needs to technical requirements
• Strong understanding of software testing, benchmarking, and continuous integration
• Exposure to machine learning methodology and best practices
• Good communication skills and ability to work in a team

Behavioral Skills

• Excellent Communication skills and collaboration skills
• Ability to propose and implement improvements in the system
• Ability to work with cross-functional stakeholders

Contact

Jennifer Sampson

Technical Recruiter

DONATO TECHNOLOGIES, INC

12100 Ford Rd, #306, Dallas, TX 75234

Direct : (469)-342-0401

Email: [e-mail]

Web: www.donatotech.net