Senior Machine Learning + LLM Engineer - Remote

INDI Staffing Services; United States; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Flexible work location

Personalized compensation

AI-driven tools

Autonomous schedule

Generous leave

Diversity & Inclusion

Industry collaboration

Mentorship & growth

Job summary

INDI is seeking a Senior Machine Learning & LLM Engineer to lead the development of innovative ML models and large language models, collaborating with top organizations to deploy impactful AI solutions.

You will design, optimize, and scale models, mentor engineers, and stay at the forefront of ML/NLP. This role offers flexible work options and opportunities to shape AI applications within a dynamic team.

Qualifications

• 4+ years of experience in machine learning, AI, or related fields.
• Strong Python proficiency and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Knowledge of NLP and large language model technologies.
• Experience in data preprocessing, feature engineering, and model optimization.
• Experience with code reviews, CI/CD, and scalable AI systems.
• Proven leadership abilities to guide technical teams and communicate complex concepts.

Responsibilities

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

Skills

ML Experience

Python

NLP/LLM

Data Engineering

CI/CD

Leadership

English Proficiency

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:

• 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.