About Us:

At micro1, we’re all about connecting skilled remote professionals with some of the best companies in Silicon Valley. Our mission is to offer a stable, competitive income, along with access to top industry opportunities—all in a flexible work setting with a range of great benefits. We’re here to help you grow in your career. We're proud to work with trusted partners such as Deel, Immutable, O’Gara, and LegalSoft.

What We Offer:

• Work from anywhere
• Healthcare reimbursement
• Wi-Fi Reimbursement
• Unlimited Learning: Access to Udemy courses, books, and everything you need to keep growing
• And So Much More: We’re not just about work—we’re about creating an environment where you’ll love to be!

Job Summary:

We are on the lookout for a dynamic AI/ML Engineer with over 2 years of experience to join our innovative team. You will play a crucial role in designing, developing, and deploying sophisticated machine learning models and algorithms. The ideal candidate will have a passion for working with large datasets to derive actionable insights, collaborating effectively with cross-functional teams.

Key Responsibilities:

• Develop and implement AI/ML models and algorithms.

• Analyze and process complex data sets for insights.

• Optimize model performance and scalability for real-world applications.

• Collaborate with engineering and data science teams to drive solutions.

• Use advanced techniques in NLP and deep learning to refine models.

• Continuously evaluate and improve AI/ML processes.

• Communicate effectively with team members to align on objectives.

Required Skills and Qualifications:

• 2+ years of experience in AI/ML engineering.

• Proficiency in Python and ML libraries like TensorFlow, PyTorch, and scikit-learn.

• Strong understanding of machine learning algorithms and their applications.

• Experience with data manipulation and analysis.

• Excellent written and verbal communication skills.

• Ability to work independently in a remote setting.

Preferred Qualifications:

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

• Familiarity with deep learning, reinforcement learning, or NLP.

• Knowledge of data engineering practices and tools.