Machine Learning Engineer
Listed on 2026-07-31
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, Data Scientist
For over 16 years, Trilyon has been at the forefront of providing comprehensive global workforce solutions and staffing services. Leveraging our extensive expertise across multiple domains such as Cloud technology, Salesforce, AI, Machine Learning, and Technical Writing, we consistently exceed expectations in catering to a wide range of requirements.
Currently we are seeking a “Machine Learning Engineer” for one of our clients that is a leading multination corporation.
Position:
Machine Learning Engineer
Location: 4440 Rosewood Drive, Pleasanton, CA 94588 (Onsite)
Duration: 6 months
Job DescriptionProficiency in supervised and unsupervised learning algorithms is essential, along with experience in neural networks and natural language processing (NLP). Expertise in Python, R, and SQL is required, as well as familiarity with machine learning frameworks such as Tensor Flow, Keras, and PyTorch. Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial. Experience in Dev Ops and MLOps practices is also necessary to streamline model deployment and management processes.
This role involves leveraging these skills to develop, deploy, and optimize machine learning models for various applications.
- Supervised or unsupervised learning algorithms
- Python / R / SQL
- Cloud platforms and technologies (MS Azure)
- Dev Ops / MLOps
Trilyon is an Equal Opportunity Employer, committed to fairness and respect for all individuals. We value diversity in age, disability, ethnicity, gender, gender identity, religion, and sexual orientation, believing it drives innovation and better service. Employment decisions are made impartially, without regard to any protected characteristic under federal, state, or local law. Our diverse team drives innovation, competitiveness, and creativity, enhancing our ability to effectively serve our clients and communities.
This commitment to diversity makes us stronger and more adaptable.
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