Position: Senior Machine Learning Engineer

Experience: Minimum 5+ years in relevant field

Job Summary:

We are seeking a Senior Machine Learning Engineer with expertise in Large Language Models (LLMs) to join our team. The ideal candidate will lead in LLM mastery, research and algorithm development, model implementation and validation, optimization and scaling, deployment, performance monitoring and maintenance, collaboration and communication, as well as continued learning and mentorship.

Key Responsibilities:

Large Language Model (LLM) Mastery:

Deep understanding and experience with LLM architectures, including Transformers, GPT variants, BERT, etc.
Skilled in deploying advanced pre-trained models like GPT-4, BERT, etc.
Proven track record in fine-tuning LLMs for specialized tasks.
Extensive experience in training LLMs from scratch, 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:

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.

If you meet these qualifications and are ready to lead in the development and implementation of cutting-edge machine learning solutions, we encourage you to apply. Join us in driving innovation and making an impact in the field of machine learning.

AI ML Engineers

Bangalore Urban

Software Development

Full Time - Onsite

Job Description