What are the responsibilities and job description for the Senior Machine Learning Engineer position at SIBLING?
Machine Learning Engineer – Generative AI
Location: Pittsburgh, USA (Hybrid) - 1/2 days a week on site
Employment Type: Full-time
Please note:
This client will not sponsor work visas.
Are you passionate about AI and building next-generation generative models? We are looking for a talented Machine Learning Engineer – Generative AI to join our team and take things to the next level.
Key Responsibilities:
- Research, design, and implement generative AI models
- Optimize and fine-tune large-scale deep learning models for performance and efficiency.
- Collaborate with cross-functional teams to integrate AI models into production environments.
- Develop scalable, high-performance AI pipelines and APIs.
- Stay up to date with the latest research and advancements in generative AI and machine learning.
- Work with cloud-based platforms (AWS, Azure) for model training, deployment, and scaling.
Required Qualifications:
- Bachelor’s, Master’s, or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
- 8 years of experience in machine learning, with a focus on deep learning and generative AI.
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, JAX).
- Experience with LLMs and generative models.
- Expertise in data processing and optimization techniques.
- Familiarity with MLOps, containerization (Docker, Kubernetes), and cloud platforms.
- Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
What We Offer:
- Competitive salary and performance-based bonuses.
- Flexible hybrid work model.
- Opportunity to work on groundbreaking AI innovations.
- Learning and development support, including conferences and certifications.
- Comprehensive benefits, including health insurance, 401(k), and paid time off.