Machine Learning Engineer

Nimbus Prime Inc.; New York (NY); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development

Job summary

Nimbus Prime Inc. in New York, NY is seeking a Machine Learning Engineer to join our team as a full-time employee.

You will design, train, and deploy machine learning models, evaluate performance, and optimize them for production, collaborating with data scientists and software engineers to integrate ML solutions into our products. You will work in a collaborative office environment in New York, NY, with opportunities for professional development, state-of-the-art technology, and a culture that

Qualifications

• Bachelor's degree in CS, statistics, math, or related field.
• Master's degree or Ph.D. in a relevant field is a plus.
• Proven experience in ML, data mining, and statistical modeling.
• Strong programming in Python and familiarity with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with cloud platforms like AWS or Google Cloud is a plus.
• Excellent problem-solving and ability to work independently and in a team.
• Strong communication and presentation skills; ability to meet tight deadlines.

Responsibilities

• Develop and implement machine learning models to solve complex business problems.
• Conduct research and stay up-to-date with ML developments.
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Design and implement ML pipelines for data processing, feature engineering, and model training.
• Evaluate and optimize ML models to improve performance and accuracy.
• Document and communicate results of ML projects to stakeholders.
• Mentor and guide junior team members in their professional development.

Skills

Python

TensorFlow

PyTorch

scikit-learn

Education

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

Master's degree in a relevant field

PhD in a relevant field is a plus

Tools

AWS

Google Cloud

Job description

Job Overview

Nimbus Prime Inc. is seeking a Machine Learning Engineer to join our team in New York, NY. As a FULL_TIME employee, you will develop and implement machine learning models to address complex business challenges. Your work will contribute to our cutting-edge projects in data analytics and artificial intelligence.

In this role, you will design, train, and deploy machine learning models, evaluate their performance, and optimize them for production. You will also collaborate with data scientists and software engineers to integrate machine learning solutions into our products and services.

You will work in a collaborative team environment at our office in New York, NY, where you will have the opportunity to engage with a diverse group of professionals from various disciplines. Our workplace fosters innovation and continuous learning, providing you with the resources and support needed to excel in your role. This includes access to state-of-the-art technology, comprehensive training programs, and a culture that encourages open communication and idea-sharing. You will be part of a dynamic team that values collaboration and collective problem-solving, working closely with colleagues to achieve common goals. The office environment is designed to promote creativity and productivity, with open floor plans that facilitate interaction and teamwork. Additionally, we offer a range of professional development opportunities, including workshops, seminars, and mentorship programs, to help you grow both personally and professionally. Our commitment to your success is evident in the supportive and inclusive workplace culture we have cultivated.

The salary for this position is negotiable, reflecting our commitment to attracting and retaining top talent. We offer a comprehensive benefits package that goes beyond basic compensation, including health insurance to cover medical expenses, retirement plans to help employees save for their future, and professional development opportunities to support their career growth.

To succeed in this role, you should have a Master's degree in Computer Science, Data Science, or a related field. You should have strong programming skills in Python and experience with machine learning libraries such as TensorFlow and PyTorch.

Responsibilities

• Develop and implement machine learning models to solve complex business problems
• Conduct research and stay up-to-date with the latest developments in the field of machine learning
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Design and implement machine learning pipelines for data processing, feature engineering, and model training
• Evaluate and optimize machine learning models to improve performance and accuracy
• Document and communicate the results of machine learning projects to stakeholders
• Mentor and guide junior team members in their professional development

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Master's degree or Ph.D. in a relevant field is a plus
• Proven experience in machine learning, data mining, and statistical modeling
• Strong programming skills in Python and familiarity with machine learning libraries such as TensorFlow, PyTorch, and scikit-learn
• Experience with cloud platforms like AWS or Google Cloud is a plus
• Excellent problem-solving skills and the ability to work independently and as part of a team
• Strong communication and presentation skills
• Ability to work in a fast-paced environment and meet tight deadlines