Machine Learning Engineer — Build & Deploy AI Solutions

GetJobSmart; Sacramento (CA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health insurance (medical, dental, and

Vision coverage

Retirement plan with employer matching

Tuition reimbursement

Mentorship programs

Access to industry conferences and —

Job summary

Venture Grove Solutions, based in Sacramento, seeks a Machine Learning Engineer for a full-time role. The candidate will design, develop, and deploy ML models, collaborate with cross-functional teams, and stay ahead of state-of-the-art ML developments.

Requirements include a degree in CS/Statistics/Mathematics and 3+ years of ML engineering experience, with Python and TensorFlow/PyTorch proficiency. On-site role with strong growth opportunities and competitive benefits.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, or related field.
• 3+ years of experience in machine learning engineering.
• Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of data structures, algorithms, and statistical concepts.

Responsibilities

• Design, develop, and deploy machine learning models and algorithms.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Conduct research and stay up-to-date with the latest advancements in machine learning.
• Optimize and improve existing machine learning systems.
• Document and communicate your work to ensure clarity and understanding.
• Participate in code reviews and mentor junior engineers.

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field

Tools

Python

TensorFlow

PyTorch

scikit-learn

AWS

GCP

Azure

Job description

Venture Grove Solutions, based in Sacramento, seeks a Machine Learning Engineer for a full-time role. The candidate will design, develop, and deploy ML models, collaborate with cross-functional teams, and stay ahead of state-of-the-art ML developments.

Requirements include a degree in CS/Statistics/Mathematics and 3+ years of ML engineering experience, with Python and TensorFlow/PyTorch proficiency. On-site role with strong growth opportunities and competitive benefits.