Jobs via Dice
AI

Machine Learning Engineer

Jobs via Dice ·

Actively hiring Posted 3 months ago

Dice is the leading career destination for tech experts at every stage of their careers. Our client, TekDallas, is seeking the following. Apply via Dice today!

Position: Machine Learning Engineer
Duration: 12 Month Contract
Location: 100% Remote (EST hours)
Only W2

  • Looking for 1 Machine Learning Engineers to design and implement robust AI/ML applications that drive innovation and business insights.
  • This role will collaborate closely with data scientists, software engineers, and product managers to integrate ML capabilities into products and services – ensuring high performance and scalability.
  • Strong Python programming skills is essential, must have prior experience working on Google Cloud Platform and Vertex AI, as well as working with BigQuery and NoSQL databases like MongoDB.

Qualifications

  • Proven experience as a Machine Learning Engineer (5+ years)
  • Proficiency in Python programming language
  • Experience with RDBMS & NoSQL databases (e.g., MongoDB, BigQuery)
  • Experience with data preprocessing, feature engineering, and model evaluation
  • Experience with Google Cloud Platform
  • Understanding of machine learning concepts and workflows
  • Familiarity with Vertex AI
  • Experience working with LLMs and RAGs in a production environment
  • Knowledge of natural language processing (NLP)
  • Experience working with Kubernetes (GKE), Docker, and or DataFlow
  • Familiarity with big data technologies (Apache Spark, Ray, Dask)
  • Experience with streaming data technologies (e.g., Apache Kafka, PubSub)
  • Familiarity with version control systems (e.g., Git)
  • Strong problem-solving skills and attention to detail
  • Ability to work collaboratively in a team environment
  • Certifications (e.g., Google Professional Data Engineer) a plus

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Remote Machine Learning Data Science Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.