Semi-Senior Machine Learning Engineer

Sophilabs; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

A leading tech company is seeking a Semi-Senior ML Engineer to design and implement machine learning models. The position requires strong proficiency in Python and various ML frameworks, along with collaborative experience in Agile settings. We offer personalized development plans, technical challenges, and wellness benefits within an inclusive team culture.

Benefits

Personalized development plans

Technical challenges

Conference support

Work flexibility

Wellness benefits

Inclusive team culture

Qualifications

• 2–3 years of ML experience required.
• Exposure to cloud platforms (AWS, GCP, Azure) preferred.
• Familiarity with Docker and REST APIs for model serving is a plus.

Responsibilities

• Design and implement ML models with a moderate level of autonomy.
• Collaborate with data scientists and software engineers.
• Contribute to production-level ML solutions.

Skills

Python

scikit-learn

TensorFlow

PyTorch

Feature engineering

Model evaluation

MLOps

Version control for ML

Docker

REST APIs

Agile collaboration

English skills

Education

Bachelor’s degree in a relevant field

Job description

A Typical Day

As a Semi-Senior ML Engineer, you’ll design and implement ML models with a moderate level of autonomy, work closely with data scientists and software engineers, and contribute to production-level ML solutions.

Qualifications

• Strong proficiency in Python and ML frameworks like scikit-learn, TensorFlow, or PyTorch
• Experience with feature engineering and model evaluation
• Ability to train and deploy models in real-world environments
• Understanding of MLOps concepts and version control for ML

Preferred Qualifications

• Bachelor’s degree in a relevant field + 2–3 years of ML experience
• Exposure to cloud platforms (AWS, GCP, or Azure)
• Familiarity with Docker and REST APIs for model serving
• Team collaboration experience in Agile environments
• Intermediate or higher English skills
• Full-time and Remote availability

We offer

Personalized development plans, technical challenges, and conference support

Work flexibility, wellness benefits, and inclusive team cultur