Machine Learning Engineer

MH Techin; New York (NY); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Career growth opportunities

Exposure to state-of-the-art tools

Dynamic work culture

Job summary

A leading technology firm in New York City is seeking a Machine Learning Engineer to design, develop, and deploy machine learning models. The ideal candidate will have a degree in a related field and expertise in machine learning algorithms, Python, and deep learning frameworks. Join a fast-paced team and work on innovative projects with real-world impact.

Qualifications

• Bachelor’s or Master’s degree in a relevant field.
• Knowledge of machine learning algorithms and frameworks.
• Experience in Python, R, or Java for ML development.

Responsibilities

• Design, develop, and deploy machine learning models.
• Collaborate to integrate ML solutions into production systems.
• Optimize model performance and reliability.

Skills

Machine learning algorithms

Deep learning frameworks

Python

Data preprocessing

Problem-solving abilities

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field

Tools

TensorFlow

PyTorch

scikit-learn

AWS

GCP

Azure

Job description

Location: New York, NY (Remote)

🏢 Company: MHTECHIN

🗓️ Experience Level: 2 Years.

💼 Job Type: Full-time

About Us:

At MHTECHIN, we leverage cutting-edge machine learning and AI to solve real-world problems and deliver innovative solutions. We are looking for passionate engineers who are eager to design, build, and deploy ML models that make a tangible impact. Join our team in New York and work in a collaborative, fast-paced environment where your ideas can shape the future.

Role Overview:

As a Machine Learning Engineer, you will develop and implement machine learning models and algorithms, analyze complex datasets, and collaborate with cross-functional teams to integrate AI solutions into products. This role is perfect for individuals who are curious, analytical, and enthusiastic about the latest advancements in AI and ML.

Key Responsibilities:

• Design, develop, and deploy machine learning models for various applications.
• Work with structured and unstructured data to create predictive models and analytics solutions.
• Collaborate with data engineers, software developers, and business teams to integrate ML solutions into production systems.
• Optimize model performance, scalability, and reliability.
• Conduct research on new algorithms, techniques, and ML frameworks.
• Maintain documentation of models, experiments, and workflows for knowledge sharing.
• Participate in code reviews, model evaluations, and performance tuning.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field.
• Knowledge of machine learning algorithms, neural networks, and deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience in Python, R, or Java for ML development.
• Understanding of data preprocessing, feature engineering, and model evaluation metrics.
• Familiarity with cloud platforms like AWS, GCP, or Azure is a plus.
• Strong problem-solving, analytical, and communication skills.
• Ability to work collaboratively in a fast-paced, team-oriented environment.

Why Join Us:

• Work on innovative projects with real-world impact.
• Collaborate with experienced ML engineers and researchers.
• Opportunities for career growth, skill development, and certifications.
• Exposure to state-of-the-art tools, frameworks, and cloud platforms.
• Dynamic, inclusive, and growth-oriented work culture in New York City.

How to Apply:

Submit your application via careers portal.