HeyMilo AI

9 jobs near Columbus, OH

HeyMilo AI Location: New York, NY, USA Contract Details: Full-time HeyMilo AI is a fast-growing startup based in New York City that specializes in developing cutting-edge artificial intelligence ...

HeyMilo AI Location: New York, NY, USA Contract Details: Full-time HeyMilo AI is a fast-growing startup based in New York City that specializes in developing cutting-edge artificial intelligence ...

HeyMilo is redefining how companies hire with agentic AI-backed by leading Silicon Valley investors and trusted by top staffing agencies, global BPOs, and Fortune 100 enterprises. Our AI agents ...

HeyMilo is redefining how companies hire with agentic AI-backed by leading Silicon Valley investors and trusted by top staffing agencies, global BPOs, and Fortune 100 enterprises. Our AI agents ...

HeyMilo is one of the fastest growing AI recruiting platforms on the market. We are backed by some of Silicon Valleys top venture capital firms and are fresh off raising additional capital to ...

Machine Learning Engineer

HeyMilo AI

New York, NY โ€ข On-site

Other

Posted 8 days ago


Job description

Job Title: Machine Learning Engineer

Company: HeyMilo AI

Location: New York, NY, USA

Contract Details: Full-time

HeyMilo AI is a fast-growing startup based in New York City that specializes in developing cutting-edge artificial intelligence solutions for various industries. We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team.

As a Machine Learning Engineer at HeyMilo AI, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex business problems. You will work closely with our data scientists, software engineers, and product managers to understand business requirements and develop solutions that meet our clients' needs.

Key Responsibilities:

- Design and implement machine learning models and algorithms to solve business problems

- Collaborate with data scientists to gather and preprocess data for model training and evaluation

- Develop and maintain data pipelines and infrastructure for efficient data processing and model deployment

- Conduct experiments and perform data analysis to evaluate model performance and identify areas for improvement

- Keep up-to-date with the latest advancements in machine learning and apply them to improve our products and services

- Work closely with cross-functional teams to integrate machine learning solutions into our products and services

- Communicate complex technical concepts to non-technical stakeholders and provide support and guidance to other team members

Qualifications:

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

- Minimum of 3 years of experience in developing machine learning models and algorithms

- Strong programming skills in Python, and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn

- Experience with software engineering best practices, including version control, testing, and code review

- Solid understanding of machine learning concepts and techniques, such as supervised and unsupervised learning, deep learning, and reinforcement learning

- Experience with data preprocessing and feature engineering techniques

- Strong problem-solving skills and ability to think creatively to come up with innovative solutions

- Excellent communication and teamwork skills

- Experience with cloud computing platforms, such as AWS or Google Cloud, is a plus

- Experience with natural language processing (NLP) and computer vision is a plus

At HeyMilo AI, we value diversity and inclusivity and are committed to creating a positive and collaborative work environment. We offer competitive salaries, comprehensive benefits, and opportunities for growth and development.

If you are passionate about using machine learning to solve real-world problems and want to be a part of a dynamic and innovative team, we want to hear from you! Apply now to join our team as a Machine Learning Engineer and help us shape the future of AI.