Machine Learning Engineer (Hybrid)

Job Title : AI / ML Engineer - Greenfield AI Project.

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LOCATION : Irvine, CA (onsite). Monday through Thursday onsite, Fridays remote.

COMPENSATION : $75-95 an hour.This is a 2-year contract that will convert to full-time.

ABOUT US : We are on a mission to develop innovative AI solutions that will revolutionize our workforce. As we embark on an exciting new greenfield AI project, we are seeking an exceptional AI / ML Engineer to join our team and lead the development of machine learning models as part of this groundbreaking initiative.

JOB DESCRIPTION :

Position Overview : As an AI / ML Engineer, you will play a pivotal role in shaping the future of our greenfield AI project.

You will be responsible for designing, building, and deploying machine learning models, working with a cross-functional team of data scientists, engineers, and domain experts.

This is a unique opportunity to work on cutting-edge AI technology from the ground up.

RESPONSIBILITIES :

• Model Development :
• Collaborate with data scientists to understand project objectives and requirements.
• Design, develop, and train machine learning models using state-of-the-art techniques and libraries.
• Data Preparation :
• Work with large datasets, clean, preprocess, and transform data to make it suitable for model training.
• Implement data pipelines and data augmentation techniques as needed.
• Model Deployment :
• Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
• Implement monitoring and maintenance procedures to track model performance.
• Experimentation and Optimization :
• Conduct experiments to optimize model performance and evaluate the impact of different algorithms and hyperparameters.
• Continuously improve models through iterative development and testing.
• Collaboration :
• Collaborate with cross-functional teams, including data scientists, engineers, and domain experts, to integrate AI / ML solutions into the project.
• Documentation :
• Document model development processes, algorithms, and best practices.
• Share knowledge and insights with the team through documentation and presentations.

QUALIFICATIONS :

• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.
• Proven experience (3+ years) in developing and deploying machine learning models.
• Proficiency in machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
• Strong programming skills in Python.
• Experience with data preprocessing, feature engineering, and data pipeline development.
• Knowledge of model deployment technologies, containerization (e.g., Docker), and AWS.
• Excellent problem-solving and analytical skills.
• Effective communication and collaboration skills to work within a cross-functional team.

WHAT MAKES THIS EXCITING :

• Work on a greenfield AI project with the opportunity to make a significant impact in our industry.
• Collaborate with a talented and diverse team of professionals in a dynamic and innovative environment.
• Competitive compensation
• Opportunities for professional growth and advancement.

If you are a passionate AI / ML Engineer with a strong background in building production level machine learning models and are excited about the challenge of a greenfield AI project, we encourage you to apply.

Join us in shaping the future of AI.

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Remote working / work at home options are available for this role.