Machine Learning Engineer

Venture Ridge Inc.; New York (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Employer retirement matching

Tuition reimbursement

Generous vacation policy

Wellness programs

Job summary

Venture Ridge Inc. in New York, NY is seeking a Machine Learning Engineer to design, train, and deploy machine learning models that drive business insights. You will work with data scientists, software engineers, and analysts to translate business needs into scalable ML solutions.

The role requires a Master's degree in a related field, strong Python/SQL skills, and experience with TF/PyTorch. The team emphasizes collaboration and continuous learning in a dynamic, office-based environment in NYC.

Qualifications

• Master's degree in Computer Science, Statistics, or a related field.
• Experience with machine learning frameworks like TensorFlow or PyTorch.
• Proficiency in Python and SQL.

Responsibilities

• Design, develop, and deploy machine learning models to solve complex business problems.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Conduct data exploration, preprocessing, and feature engineering to improve model performance.
• Monitor and maintain machine learning models in production, ensuring their performance and scalability.
• Stay up-to-date with the latest advancements in machine learning and data science, and apply this knowledge to improve existing models.
• Document and communicate technical findings and insights to stakeholders.

Skills

Python

R

TensorFlow

PyTorch

scikit-learn

Data Visualization

Feature Engineering

Model Deployment

Data Analysis

Cloud Platforms

SQL

Education

Master's degree in Computer Science or Statistics or related field

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

Tools

Job description

Venture Ridge Inc. is seeking a Machine Learning Engineer in New York, NY. This full-time role involves developing and implementing machine learning models to drive business insights and innovation.

You will design, train, and deploy machine learning models, conduct data analysis, and optimize model performance. You will also collaborate with cross‑functional teams to integrate machine learning solutions into existing systems.

You will collaborate with data scientists, software engineers, and business analysts in a dynamic, team‑oriented environment. This interdisciplinary team will work together to analyze complex data sets, develop innovative software solutions, and translate technical insights into actionable business strategies. The office is situated in the bustling heart of New York City, providing ample opportunities for networking, professional growth, and exposure to diverse perspectives. As a member of this team, you will have the chance to contribute to and learn from a wide range of projects, fostering a culture of continuous learning and improvement.

The salary is negotiable based on the candidate's experience and qualifications. Benefits include comprehensive health insurance coverage, a retirement plan with employer matching contributions, and opportunities for professional development, such as tuition reimbursement for courses related to the candidate's role. Additionally, the company offers a generous vacation policy and wellness programs to support employee well-being.

You must have a Master's degree in Computer Science, Statistics, or a related field. You should have experience with machine learning frameworks like TensorFlow or PyTorch. Proficiency in Python and SQL is required.

• Design, develop, and deploy machine learning models to solve complex business problems.
• Collaborate with cross‑functional teams to understand business needs and translate them into technical solutions.
• Conduct data exploration, preprocessing, and feature engineering to improve model performance.
• Monitor and maintain machine learning models in production, ensuring their performance and scalability.
• Stay up-to-date with the latest advancements in machine learning and data science, and apply this knowledge to improve existing models.
• Document and communicate technical findings and insights to stakeholders.
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 2+ years of experience in machine learning and data science.
• Proficiency in programming languages such as Python and R.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit‑learn.
• Strong understanding of statistical methods and data visualization techniques.
• Experience with cloud platforms such as AWS or GCP is a plus.