Senior Machine Learning + LLM Engineer - Remote

INDI Staffing Services

United States

Remote

USD 140,000 - 210,000

Full time

20 hours ago
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Job summary

INDI is seeking a Senior Machine Learning & LLM Engineer to lead development of innovative ML models and large language models. This role focuses on shaping AI solutions and collaborating with top organizations to create impactful applications.

The position offers flexible work locations and an advanced ML stack (Python, TensorFlow, PyTorch). You will drive data preprocessing, mentorship, and growth while staying ahead of ML/NLP advances and delivering scalable, secure deployments.

Qualifications

  • 4+ years of ML/AI experience.
  • Proficiency with Python and ML frameworks.
  • Knowledge of NLP and LLM technologies.
  • Data preprocessing and feature engineering experience.
  • CI/CD and scalable AI systems experience.
  • Strong leadership and communication skills.
  • Advanced English proficiency.

Responsibilities

  • Design, develop, and optimize ML models and LLMs.
  • Lead and mentor development personnel.
  • Collaborate with cross-functional teams to implement AI solutions.
  • Perform data analysis and preprocessing for model training.
  • Stay current with ML, NLP, and AI advancements.
  • Ensure model scalability, performance, and security through testing.

Skills

Advanced ML Experience
Python & ML frameworks
NLP & LLMs
Data preprocessing
CI/CD & scalable AI
Leadership
English proficiency

Tools

Python
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.
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