Senior Machine Learning + LLM Engineer - Remote

INDI Staffing Services; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Remote work options

Competitive compensation

Mentorship and growth opportunities

Job summary

INDI Staffing Services seeks a Senior ML & LLM Engineer to lead development of advanced ML models and large language models. You will mentor engineers, collaborate with cross-functional teams, and push AI solutions from concept to production.

Responsibilities include data preprocessing, model optimization, and staying ahead of ML/NLP advances while maintaining scalable and secure systems. Remote-friendly, with international collaboration.

Qualifications

• 4+ years in ML/AI or related fields including model development.
• A proven track record in NLP and LLM technologies.
• Strong Python programming and ML framework experience.
• Experience with data preprocessing, feature engineering, and model optimization.
• Familiarity with CI/CD practices and scalable AI systems.
• Demonstrated leadership of technical teams and mentoring.
• Advanced English communication skills for collaboration.
• Comfort with remote/hybrid work and flexible scheduling.
• Ability to work with cross-functional groups to deliver AI solutions.

Responsibilities

• Design, develop, and optimize ML models and LLMs for diverse applications.
• Lead and mentor development teams, promoting best practices.
• Collaborate with cross-functional groups to define AI solutions.
• Perform data analysis and preprocessing to ensure high quality for training.
• Stay current with ML, NLP, and AI advancements and apply them.
• Ensure scalability, performance, and security through testing and optimization.

Skills

ML experience

Python

NLP/LLMs

Data engineering

CI/CD

Leadership

English proficiency

Remote work option

Collaboration

Adaptability

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.
• - 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.