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Description:
The Gigster Talent Network is seeking talented Senior AI/ML Engineers to contribute to cutting-edge projects.
Successful candidates will work on developing and implementing machine learning and AI models to solve complex business problems.
Responsibilities include deploying AI/ML systems into production environments, ensuring scalability and reliability.
Engineers will analyze data to uncover insights that drive business value and test extensively to ensure model accuracy and reliability.
Collaboration with team members is essential, including proactive communication about project blockers.
Engineers will work with large language models (LLMs) and transformer-based models to extract information from raw text, focusing on specialized applications.
Requirements:
Candidates must have a minimum of 4 years of experience developing and implementing Machine Learning models, including Natural Language Processing (NLP), Computer Vision, and/or Time Series Forecasting.
Production experience with ML systems is required, particularly in deploying and maintaining models in real-world environments.
A strong understanding of Machine Learning algorithms, statistical modeling, and data analysis tools such as NumPy, Pandas, and Scikit-learn is necessary.
Advanced programming skills in Python and experience with deep learning libraries and frameworks such as TensorFlow, PyTorch, Keras, or fastai are essential.
Solid data engineering skills, including SQL, data pipelines, and large-scale data processing with tools like Spark or Dask, are required.
Experience with software development tools like Git version control, scrum, and Agile Methodologies is necessary.
Candidates should have experience working with cloud-based ML services, such as AWS SageMaker or Bedrock.
Excellent communication and collaboration skills are required to work effectively in cross-functional teams.
Benefits:
Joining the Gigster Talent Network provides the opportunity to work with some of the best software developers in the world.
Candidates can choose from a variety of projects that fit their interests, ranging from part-time and short-term to full-time long-term openings.
All projects are for top-tier international companies, ensuring high-quality deliverables.
Engineers will have the chance to work on diverse positions that can help advance their careers.
The network offers exposure to cutting-edge technologies and industries, allowing engineers to contribute to impactful products.