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Remote Machine Learning Engineer

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AI Summary

We are seeking a Remote Machine Learning Engineer to scale AI-powered products by deploying high-performance machine learning models. The role involves developing, training, and evaluating ML models, preparing and analyzing datasets, and collaborating with software engineers to bring models into production. Candidates must have +1 year of experience in data science, machine learning, or software engineering, proficiency in Python and Git, and strong English communication skills.

Key Highlights
Scale AI-powered products by deploying high-performance machine learning models
Develop, train, evaluate, and deploy ML models in production environments
Collaborate with software engineers to integrate ML solutions into products
Key Responsibilities
Develop, train, and evaluate machine learning models
Prepare and analyze datasets for model training
Improve model performance through experimentation and testing
Deploy and maintain ML models in production environments
Collaborate with software engineers to integrate ML solutions into products
Monitor model performance and continuously improve accuracy
Stay up to date with new machine learning techniques and technologies
Technical Skills Required
Python Git Machine Learning
Benefits & Perks
Fully remote work
Flexible working environment
Competitive compensation based on experience
Nice to Have
Experience with large language models (LLMs)
Experience with cloud platforms such as AWS, GCP, or Azure
Familiarity with SQL
Experience deploying ML models
Personal projects or open-source contributions related to AI or machine learning

Job Description


I’m helping SpotterLabs find a top candidate to join their team full-time for the role of Remote Machine Learning Engineer.


You will scale AI-powered products by deploying high-performance machine learning models.


Compensation:

Hidden


Location:

Remote: India


Mission of SpotterLabs:

"To innovate for and with creators by providing capital, AI‑driven tools, and community support that help them succeed and grow their creative businesses."


What makes you a strong candidate:

  • You have +1 year of experience in Data science, Machine learning, Software engineering
  • You are proficient in Python, Git.
  • English - Fully fluent


Responsibilities and more:

We are looking for a Machine Learning Engineer to help build and improve AI-powered products. You will work with large datasets, train and evaluate machine learning models, and collaborate with software engineers to bring models into production. This is a great opportunity for someone who enjoys solving practical problems with machine learning and wants to work on real-world AI applications.


Responsibilities:

- Develop, train, and evaluate machine learning models.

- Prepare and analyze datasets for model training.

- Improve model performance through experimentation and testing.

- Deploy and maintain ML models in production environments.

- Collaborate with software engineers to integrate ML solutions into products.

- Monitor model performance and continuously improve accuracy.

- Stay up to date with new machine learning techniques and technologies.


Qualifications:

- Basic understanding of machine learning concepts and algorithms.

- Experience with Python.

- Familiarity with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn.

- Comfortable working with data and writing clean, maintainable code.

- Familiarity with Git.

- Good problem-solving skills.

- Strong written and verbal English communication.


Preferred Skills:

- Experience with large language models (LLMs).

- Experience with cloud platforms such as AWS, GCP, or Azure.

- Familiarity with SQL.

- Experience deploying ML models.

- Personal projects or open-source contributions related to AI or machine learning.


Requirements:

- 1+ year of experience in machine learning, software engineering, data science, or a related technical role or strong personal projects demonstrating ML skills.

- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus, but not required.

- Passion for learning and building AI solutions.


Benefits:

- Fully remote work.

- Flexible working environment.

- Opportunity to work on real AI products.

- Challenging technical problems with room to grow.

- Collaborative and fast-moving team.

- Competitive compensation based on experience.


Your potential leader(s):

  • Simelinkosi Moyo - AI Trainer at My Heat

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