AI/ML Engineer

MeeBoss; New York (NY); On-site; USD 60,000 - 80,000; Full time

Job summary

MeeBoss is seeking an AI/ML professional to design, train, and deploy models for business applications, collaborating with data engineers, software developers, and product managers throughout the ML lifecycle.

You will work on data preparation, feature engineering, model evaluation, and deployment to production, leveraging frameworks like TensorFlow/PyTorch and integrating models into APIs.

Qualifications

• Master's degree in CS/DS/AI/Engineering or related field.
• 2-3+ years hands-on experience in AI/ML or related role.
• Strong programming skills in Python.
• Experience with scikit-learn, TensorFlow, PyTorch, or similar ML frameworks.
• Understanding of ML algorithms, statistics, and data structures.
• Experience with SQL and structured/unstructured datasets.
• Familiarity with Git, REST APIs, Docker, and cloud platforms (AWS/Azure/GCP).
• Strong problem-solving and analytical skills.
• Master's Degree in Computer Science
• AI/ML Certification
• Data Science Certification
• Relevant Industry Certification

Responsibilities

• Design, develop, train, and deploy machine learning models for business applications.
• Analyze large datasets and perform data preprocessing, feature engineering, and Exploratory Data Analysis.
• Develop and optimize supervised and unsupervised machine learning models.
• Work with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Build and integrate AI/ML models into production applications and APIs.
• Implement ML pipelines and contribute to model deployment, monitoring, and maintenance.
• Evaluate model performance and improve accuracy, scalability, and efficiency.
• Stay current with emerging AI/ML technologies, frameworks, and best practices.

Skills

Python programming

Problem-solving

Analytical thinking

Education

Master's degree in Computer Science

Master's degree in Data Science

Master's degree in Artificial Intelligence

Master's degree in Engineering

AI/ML Certification

Data Science Certification

Industry Certification

Tools

scikit-learn

TensorFlow

PyTorch

Keras

Git

REST APIs

Docker

AWS

Azure

GCP

SQL

Job description

MeeBoss is sharing this active opportunity on behalf of the hiring company.

Job title

Company

MeeBoss

Location

Compensation

$60,000-80,000/year

Why this role

• Opportunity to work with emerging AI/ML technologies and frameworks.
• Collaborate with data engineers, software developers, and product managers.
• Engage in end-to-end machine learning lifecycle, from data preparation to deployment.

What you will do

• Design, develop, train, and deploy machine learning models for business applications.
• Analyze large datasets and perform data preprocessing, feature engineering, and exploratory data analysis.
• Develop and optimize supervised and unsupervised machine learning models.
• Work with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Build and integrate AI/ML models into production applications and APIs.
• Implement ML pipelines and contribute to model deployment, monitoring, and maintenance.
• Evaluate model performance and improve accuracy, scalability, and efficiency.
• Stay current with emerging AI/ML technologies, frameworks, and best practices.

What we are looking for

• Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
• 2-3+ years of hands-on experience in AI/ML or a related role.
• Strong programming skills in Python.
• Experience with scikit-learn, TensorFlow, PyTorch, or similar ML frameworks.
• Strong understanding of machine learning algorithms, statistics, and data structures.
• Experience with SQL and working with structured/unstructured datasets.
• Familiarity with Git, REST APIs, Docker, and cloud platforms such as AWS, Azure, or GCP.
• Strong problem-solving and analytical skills.
• Master's Degree in Computer Science
• AI/ML Certification
• Data Science Certification
• Relevant Industry Certification