Machine Learning Engineer

Codertal; Union (NJ); Remote; USD 85,515 - 128,273; Full time

Benefits offered by this job

Competitive daily rates

100% remote and flexible working setup

Collaborative engineering culture

Job summary

A tech company is seeking a Machine Learning Engineer to design, train, and deploy models that provide real-world solutions. The role requires strong Python skills, understanding of ML algorithms, and familiarity with MLOps practices. This is a B2B contract position with a flexible remote working setup for candidates based in the European Union.

Qualifications

• Strong proficiency in Python and related frameworks.
• Solid understanding of machine learning algorithms.
• Experience with model deployment and MLOps practices.
• Familiarity with cloud platforms like AWS, GCP, or Azure.

Responsibilities

• Design, build, and deploy machine learning models at scale.
• Collaborate with engineers to integrate models into production.
• Monitor, evaluate, and improve deployed models over time.

Skills

Python

TensorFlow

PyTorch

scikit-learn

SQL

Pandas

NumPy

Docker

Kubernetes

Cloud platforms (AWS, GCP, Azure)

Education

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

Job description

Location:

Remote – European Union

Contract Type:

B2B Contract

Experience Level:

Mid to Senior

🚀 About the Role

Codertal is seeking a talented Machine Learning Engineer to join our growing AI and data science team on a B2B contract basis. You’ll play a key role in designing, training, and deploying machine learning models that solve real‑world problems and deliver measurable business impact.

You’ll collaborate closely with data scientists, software engineers, and product teams to turn data insights into production‑ready solutions used by thousands of users across industries.

🔎 Key Responsibilities

• Design, build, and deploy machine learning models at scale.
• Work with large datasets to preprocess, clean, and transform data.
• Collaborate with engineers to integrate models into production systems.
• Experiment with algorithms and tune hyperparameters to optimize performance.
• Monitor, evaluate, and improve deployed models over time.
• Document processes and ensure reproducibility of results.

🎯 Required Skills and Experience

• Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or scikit‑learn.
• Solid understanding of machine learning algorithms and data preprocessing.
• Experience with model deployment and MLOps practices (Docker, Kubernetes, or similar).
• Proficiency with SQL and data manipulation using Pandas or NumPy.
• Familiarity with cloud platforms like AWS, GCP, or Azure.
• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• Intermediate to high level of English.
• Must be located in the European Union.

🌍 Location & Work Setup

• Remote: Yes
• Location: European Union
• Type: B2B Contract

💼 Why Join Codertal?

• Work with cutting‑edge AI technologies and innovative global clients.
• Competitive daily rates.
• 100% remote and flexible working setup.
• Be part of a collaborative and forward‑thinking engineering culture.

📩 How to Apply

If you’re passionate about AI and machine learning, and ready to take on exciting challenges with Codertal, we’d love to hear from you! Please send the following information to [e-mail]:

• Name
• Phone
• Email
• Rate per day (euros)
• CV / Resume