Machine Learning Engineer

TechChain Talent; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

TechChain Talent seeks a Machine Learning Engineer to design and maintain state-of-the-art ML systems. You will collaborate with teams to develop models that deliver impactful insights, ensuring robust performance through scalable infrastructures in a leading tech environment.

Qualifications

• 2+ years experience as ML Engineer or similar.
• Strong programming skills in Python, optional in Java or R.
• Deep understanding of ML algorithms and statistics.

Responsibilities

• Design and implement ML and deep learning models.
• Deploy, monitor, and maintain model performance.
• Collaborate to convert prototypes into production pipelines.

Skills

Python

Machine Learning

Deep Learning

Statistics

Linear Algebra

Probability

Communication

Education

Bachelor’s degree in Computer Science

Master’s degree (a plus)

Tools

TensorFlow

PyTorch

scikit-learn

Keras

Job description

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Company Overview
Join a high-impact technology company revolutionizing real-time prediction and data-driven systems. We are leaders in detecting complex patterns in decentralized data, and our core innovations aim to transform the ecosystem.

Role Overview
You will design, build, deploy, and maintain scalable ML systems that deliver critical insights and automation. Collaborating cross-functionally, you'll translate complex models into production solutions with real-world impact.

Key Responsibilities

1. Design and implement ML and deep learning models for real-time prediction systems.
2. Prepare and preprocess large, complex data sets; apply feature engineering and data transformations.
3. Collaborate with data scientists and engineers to convert prototypes into robust, production-grade pipelines.
4. Deploy, monitor, and maintain model performance, retraining as needed for reliability.
5. Conduct experiments, hyperparameter tuning, and performance evaluations.
6. Design scalable infrastructure to support ML workflows (e.g., pipeline orchestration, model serving).
7. Communicate findings, limitations, and data-driven insights clearly to non-technical stakeholders.
8. Stay current with developments in frameworks and methodologies (TensorFlow, PyTorch, scikit-learn, etc.).

Required Qualifications

• Proven experience as an ML Engineer or similar (2+ years preferred).
• Strong programming skills in Python (and optionally Java, R).
• Deep understanding of statistics, linear algebra, probability, and ML algorithms.
• Proficiency with ML libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, Keras.
• Experience building ML pipelines and deploying models in production.
• Strong communication skills to explain technical concepts to diverse audiences.
• Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field (Master’s a plus).

Additional Information

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Appliances, Electrical, and Electronics Manufacturing; Civil Engineering

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