Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a contract basis, offering up to $150/hour. Key skills include Python, TensorFlow, and model deployment. A Bachelor's degree in a related field is required. This position is 100% remote.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
1200
🗓️ - Date discovered
April 20, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Remote
🧠 - Skills detailed
#Scala #HTTP & HTTPS (Hypertext Transfer Protocol & Hypertext Transfer Protocol Secure) #Docker #Computer Science #MLflow #"ETL (Extract #Transform #Load)" #Project Management #Python #Data Science #SageMaker #TensorFlow #PyTorch #Model Evaluation #Datasets #Kubernetes #ML (Machine Learning) #Libraries
Role description

Note: This is a 100% remote position open to candidates located anywhere in the world.

Join Techamana and become part of an exclusive network that connects the world’s best 5% of freelance experts in software development, design, product management, and project management with clients who demand excellence. We embody the values of “Amana” (trust, honesty, and loyalty) in every partnership.

As a Machine Learning Engineer through Techamana, you'll develop and deploy machine learning models that solve complex problems. You'll work with data scientists to transform prototypes into production-ready systems that can scale.

Responsibilities

Build and deploy machine learning models into production environments

 Preprocess and perform feature engineering on large datasets

 Optimize model performance, scalability, and inference speed

 Integrate ML services with existing applications

 Monitor models for drift and automate retraining pipelines

 Write clean, maintainable, and efficient code

Requirements

Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn)

 Experience with data preprocessing, feature engineering, and model evaluation

 Knowledge of deploying models in production (Docker, Kubernetes, SageMaker)

 Understanding of ML lifecycle tools (MLflow, Kubeflow)

 Familiarity with GPU acceleration and distributed training

 Bachelor's degree in Computer Science, Engineering or related field (or equivalent experience)

Problem‑Solving & Communication

Strong analytical skills and the ability to translate complex challenges into elegant solutions.

 Excellent communication skills, with experience collaborating across distributed, multidisciplinary teams.

Benefits of Working at Techamana

At Techamana, our people are our greatest asset. We offer a benefits package that supports both your professional growth and personal well‑being, including:

Work with leading companies from around the world on challenging projects.

 Competitive compensation and flexible work arrangements

 Opportunities for continuous learning and professional development

For the full list of benefits, visit https://techamana.com/talent-benefits, and for more about our process, see https://techamana.com/talent-faq.

Compensation

Hourly Rate: Up to $150/hour based on experience

How to Apply

Ready to join Techamana’s elite network and work on groundbreaking projects? Please apply directly at: https://techamana.com/apply

Techamana is an equal opportunity employer committed to fostering an inclusive environment for all team members.

Job Type: Contract

Pay: $25.00 - $150.00 per hour

Compensation Package:

Hourly pay

Schedule:

8 hour shift

 Choose your own hours

Work Location: Remote