Machine Learning Engineer

Onyx National Solutions; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Onyx National Solutions, a New York City tech firm, seeks a Machine Learning Engineer for a full-time role. You will design, deploy, and maintain ML models to tackle real-world business problems, collaborating with cross-functional teams across the organization.

The role emphasizes data preprocessing, feature engineering, model evaluation, and staying current with ML advances. Strong communication and teamwork are essential for success in a fast-paced environment.

Qualifications

• Bachelor's degree in Computer Science, Mathematics, Statistics, or related field.
• 2+ years of experience in machine learning or data science.
• Strong programming skills in Python, R, or a similar language.
• Experience with TensorFlow, PyTorch, or scikit-learn.
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with AWS, GCP, or Azure is a plus.
• Excellent communication and teamwork in a fast-paced, collaborative environment.

Responsibilities

• Design, develop, and deploy machine learning models to solve real-world problems.
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Optimize and scale ML systems to meet performance and scalability requirements.
• Stay up-to-date with latest ML and data science developments and apply them to projects.
• Document work and share insights to foster continuous learning and improvement.

Skills

Python

R

Data preprocessing

Feature engineering

Model evaluation

Communication & teamwork

Cloud basics

Education

Master's degree in Computer Science/Data Science or related field

Bachelor's degree in CS/Math/Stats or related field

Tools

TensorFlow

PyTorch

scikit-learn

AWS

GCP

Azure

Job description

Onyx National Solutions, a tech firm based in New York City, NY, seeks a Machine Learning Engineer for a FULL_TIME position. The role involves developing and deploying machine learning models to solve complex business problems.

The Machine Learning Engineer will design, implement, and maintain machine learning systems. Tasks include data preprocessing, model training, evaluation, and deployment, as well as collaborating with cross-functional teams to integrate ML solutions into existing systems.

The team operates in a collaborative environment within the bustling tech hub of New York City. The workplace fosters innovation and continuous learning, with opportunities for professional growth and development.

The salary is negotiable, allowing for a discussion between the employer and the candidate to reach a mutually beneficial agreement. Benefits include comprehensive health insurance, which covers medical, dental, and vision care, as well as a retirement plan with employer contributions. Additionally, there are opportunities for professional development, such as workshops, training programs, and access to industry resources. Specific compensation details are subject to negotiation based on the candidate's years of experience, relevant qualifications, and the specific role's requirements.

Candidates should have a Master's degree in Computer Science, Data Science, or a related field. Proficiency in Python, TensorFlow, and PyTorch is required. Experience with cloud platforms like AWS or GCP is preferred.

Key Responsibilities

• Design, develop, and deploy machine learning models to solve real-world problems.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Optimize and scale machine learning systems to ensure they meet performance and scalability requirements.
• Stay up-to-date with the latest advancements in machine learning and data science, and apply this knowledge to our projects.
• Document your work and share your insights with the team to foster a culture of continuous learning and improvement.

Qualifications

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
• 2+ years of experience in a machine learning or data science role.
• Strong programming skills in Python, R, or a similar language.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with cloud platforms like AWS, GCP, or Azure is a plus.
• Excellent communication and teamwork skills, with the ability to work in a fast-paced, collaborative environment.