Senior Machine Learning + LLM Engineer - Remote

INDI Staffing Services; United States; Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Flexible work

Tailored compensation

Cutting-edge tools

Autonomous schedule

Generous leave

Diversity & inclusion

Industry collaboration

Growth opportunities

Job summary

INDI is seeking a Senior Machine Learning & LLM Engineer to lead the development of innovative ML models and large language models, shaping AI solutions for ambitious organizations. You will drive end-to-end model design, evaluation, and deployment while mentoring teammates and promoting best practices.

You will work across functions to define AI solutions, perform thorough data preparation for training, stay ahead of ML/NLP advancements, and ensure scalable, secure systems through rigorous

Qualifications

• 4+ years of hands-on experience in ML/AI.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Expertise in NLP and LLM technologies.
• Experience with data preprocessing and feature engineering.
• Experience with CI/CD and scalable AI systems.
• Ability to lead technical teams and communicate complex concepts.
• Advanced English language skills.

Responsibilities

• Design, develop, and optimize ML models and LLMs for various applications.
• Lead and mentor development personnel, fostering innovation and best practices.
• Collaborate with cross-functional groups to define, design, and implement AI-driven solutions.
• Perform in-depth data analysis and preprocessing, ensuring high data quality for model training.
• Stay current with the latest advancements in ML, NLP, and AI technologies.
• Ensure model scalability, performance, and security through rigorous testing and optimization.

Skills

Machine learning

Python

NLP

Data preprocessing

CI/CD

Leadership

English

Tools

TensorFlow

PyTorch

scikit-learn

Job description

At INDI, we're passionate about empowering individuals and businesses worldwide. Our cutting-edge recruiters connect leading companies with top talent, fostering a dynamic environment where innovation thrives. Join us in shaping the future of work.

Overview of the role:

The Senior Machine Learning & LLM Engineer position focuses on leading and guiding the development of innovative machine learning models and large language models (LLMs). This role involves applying expertise and vision to shape cutting-edge AI solutions while collaborating closely with high-performing organizations to create impactful applications.

Key responsibilities:

• Designing, developing, and optimizing machine learning models and LLMs for various applications.
• Leading and mentoring development personnel, fostering innovation and best practices.
• Collaborating with cross-functional groups to define, design, and implement AI-driven solutions.
• Performing in-depth data analysis and preprocessing, ensuring high data quality for model training.
• Staying current with the latest advancements in ML, NLP, and AI technologies.
• Ensuring model scalability, performance, and security through rigorous testing and optimization.

Requirements:

• Advanced ML Experience: 4+ years of comprehensive experience in machine learning, AI, or related fields.
• Technical Expertise: Advanced proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• NLP Specialization: Strong knowledge of NLP and LLM technologies.
• Data Engineering: Proven track record in data preprocessing, feature engineering, and model optimization.
• Development Practices: Solid experience with code reviews, CI/CD processes, and scalable AI systems.
• Leadership Abilities: Demonstrated ability to lead technical personnel and communicate complex concepts effectively.
• Language Proficiency: Advanced level of English.

Benefits & Perks:

• Flexibility: Choose where and how you work for enhanced creativity and innovation.
• Tailored Compensation: Personalize your earnings to suit your financial goals.
• Tech-Driven Tools: Access cutting-edge resources for seamless collaboration and productivity.
• Autonomous Workflow: Take control of your schedule to achieve work-life balance.
• Well-being: Enjoy generous leave policies for rest and rejuvenation.
• Diversity & Inclusion: Thrive in a diverse and inclusive environment.
• Collaboration: Engage with industry leaders for collective growth.
• Development: Access mentorship and growth opportunities for continuous advancement.