Senior Machine Learning Engineer

1 month ago

Anywhere in IndiaMultiple Locations QX Lab AI Full time

Location : Remote

Type : Full-Time

Experience : Minimum 6+ years in relevant field

Job Summary :

Join our elite team as a Senior Machine Learning Engineer at Qx Lab AI, a leader in AI and machine learning innovation. You'll play a crucial role in advancing our cutting-edge machine learning technologies. Your responsibilities will include collaborating with top-tier researchers, software engineers, and data scientists to enhance, develop, and implement advanced machine learning models, addressing some of the most challenging problems in the field.

Key Responsibilities :

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, promoting a culture of learning and growth.

Required :

- 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.

Preferred :

- 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.

(ref:hirist.tech)

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