Senior Machine Learning + LLM Engineer - Remote

INDI Staffing Services; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Generous leave

Flexible work location

Tailored compensation

Mentorship opportunities

Job summary

INDI is seeking a Senior Machine Learning & LLM Engineer to lead the development of innovative ML models and large language models. You will guide a talented team and collaborate with diverse groups to translate AI concepts into impactful applications.

You will stay ahead of ML and NLP advances, ensure scalable, secure solutions, and foster a culture of experimentation and best practices. Remote-friendly, flexible work arrangements are supported.

Qualifications

• 4+ years of hands-on ML/AI experience.
• Proficient in Python and ML frameworks.
• Strong NLP/LLM knowledge.
• Data preprocessing and feature engineering.
• Experience leading technical teams.
• Excellent English communication.
• Ability to work flexibly across locations.

Responsibilities

• Design, develop, and optimize ML models and LLMs.
• Lead and mentor developers.
• Collaborate with cross-functional teams to deliver AI solutions.
• Perform data analysis and ensure data quality for training.
• Stay current with ML/NLP advancements.
• Ensure scalability, performance, and security via testing.

Skills

ML model development

Python

TensorFlow / PyTorch

NLP / LLM

Data preprocessing

CI/CD

Team leadership

English proficiency

Communication

Experimentation

Tools

Git

CI/CD pipelines

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.
• - 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.