Senior ML & LLM Engineer — Lead AI Solutions

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

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.