As a Machine Learning Engineer at VOLT AI, you’ll play a key role in developing and optimizing machine learning models to power our advanced AI-driven solutions. You’ll collaborate with data scientists, engineers, and product managers to bring innovative ideas to life and help us transform complex datasets into actionable insights.
Responsibilities
- Design, implement, and optimize machine learning algorithms and deep learning models.
- Develop end-to-end pipelines for data processing, model training, validation, and deployment.
- Collaborate closely with the data science and software engineering teams to integrate models into production environments.
- Continuously improve model performance through testing, tuning, and evaluation.
Skills & Experience
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
- 3+ years of experience in machine learning and deep learning, with hands-on experience using frameworks like TensorFlow, PyTorch, or similar.
- Proficiency in Python and experience with data processing libraries such as Pandas and NumPy.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices is a plus.
Personality & Traits
- Analytical and solution-oriented, with a strong attention to detail.
- Proactive and adaptable, with a passion for continuous learning and tackling complex challenges.
- Collaborative team player with strong communication skills to explain technical details to non-technical stakeholders.
How to Apply
If you’re passionate about pushing the boundaries of what’s possible at VOLT AI, we’d love to hear from you!
Please submit your resume and a cover letter detailing your experience to [email protected]