- Large Language Model (LLM) Mastery:
- Advanced Model Architecture: Deep understanding and experience with LLM architectures including Transformers, GPT variants, BERT, etc.
- Sophisticated LLM Deployment: Skilled in deploying advanced pre-trained models like GPT-4, BERT, etc.
- Expert Fine-tuning: Proven track record in fine-tuning LLMs for specialized tasks.
- Comprehensive Training from Scratch: Extensive experience in training LLMs from the ground up, including complex data handling, addressing computational challenges, model stability and innovation, and advanced hyperparameter optimization.
- Research and Algorithm Development:
- Lead and innovate in the design and implementation of machine learning algorithms, ensuring fairness and interpretability.
- Oversee data management and perform advanced data preprocessing techniques.
- Model Implementation and Validation:
- Develop scalable and efficient machine learning models using advanced frameworks.
- Implement and oversee thorough validation processes to ensure model integrity.
- Optimization and Scaling:
- Lead in model optimization for enhanced computational efficiency and accuracy.
- Collaborate with infrastructure teams for large-scale model deployment.
- Deployment:
- Convert research algorithms into production-level code, ensuring seamless integration into Qx Lab AI's platforms.
- Work with DevOps for cloud-based deployment, focusing on maintainability and robustness.
- Performance Monitoring and Maintenance:
- Develop tools for continuous model performance monitoring.
- Proactively address performance issues and update models based on metrics and new data.
- Collaboration and Communication:
- Engage with various teams and stakeholders, integrating machine learning solutions into broader operations.
- Clearly communicate complex machine learning concepts to diverse audiences.
- Continued Learning and Mentorship:
- Stay abreast of the latest developments in machine learning and related fields.
- Mentor and guide junior engineers and interns, fostering a culture of learning and growth.
- Bachelor's Degree in Computer Science, Engineering, Statistics, or related field.
- Minimum of 6 years of experience in machine learning or a related field.
- Advanced programming skills in Python, C++, or similar.
- Extensive experience with TensorFlow, PyTorch, or similar frameworks.
- Deep understanding of machine learning algorithms and principles.
- Demonstrated expertise in LLMs.
- Experience with cloud computing services (AWS, Azure, GCP, etc.).
- Solid grasp of software engineering best practices.
- Exceptional problem-solving skills.
- Outstanding communication skills, both written and verbal.
- Master's Degree or PhD in a related field.
- Experience in NLP or computer vision.
- Published research in machine learning, AI, or specifically LLMs.
- Agile environment experience.
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Senior Machine Learning Engineer - Anywhere in India/Multiple Locations - QX Lab AI
1 day ago
Description
Location: Remote
Type: Full-Time
Experience: Minimum 6+ years in relevant field
Job Summary: Join our stellar team as a Senior Machine Learning Engineer at Qx Lab AI, a trailblazer in AI and machine learning innovation. You will play a vital role in advancing our state-of-the-art machine learning technologies. Your tasks will involve collaborating with top-notch researchers, software engineers, and data scientists to enhance, create, and implement cutting-edge machine learning models, tackling some of the most complex issues in the sector.
Key Responsibilities:
Required:
Preferred:
