MACHINE LEARNING ENGINEER (LLM)

$130,000 - $150,000/Yr

Harnham - Chicago, IL

Full-time - Mid Level

Chicago, IL

Professional, Scientific, and Technical Services

About the position

The Machine Learning Engineer (LLM) role focuses on designing, developing, and optimizing machine learning models to enhance performance and efficiency. The position involves applying advanced AI techniques, collaborating with cross-functional teams, and mentoring junior members, all while contributing to innovative AI solutions that transform industries.

Responsibilities

• Design, develop, and optimize machine learning models to enhance performance, accuracy, and efficiency.
• Apply advanced AI techniques, such as transfer learning, hyperparameter tuning, and feature engineering, to refine models.
• Collaborate with data scientists and engineers to identify, gather, preprocess, and clean datasets for training and validation.
• Monitor model performance regularly, pinpointing areas for improvement and implementing updates as necessary.
• Keep up with the latest AI/ML advancements, integrating best practices into ongoing projects.
• Work with cross-functional teams to embed AI models into larger systems, ensuring smooth integration and scalability.
• Document model development, results, and insights to contribute to the team's knowledge base and best practices.
• Offer technical guidance and mentorship to junior team members, promoting a culture of innovation and continuous learning.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related discipline.
• Demonstrated experience in AI/ML model development, showcasing expertise in model fine-tuning and optimization through a portfolio of projects.
• Proficient in Python with hands-on experience using AI/ML libraries and frameworks like TensorFlow, PyTorch, and Keras.
• Skilled in data manipulation and analysis using tools such as Pandas, NumPy, and SQL.
• Strong knowledge of advanced machine learning techniques, including deep learning, reinforcement learning, and unsupervised learning.
• Excellent problem-solving abilities, with the capacity to work both independently and collaboratively.
• Strong communication and teamwork skills, capable of conveying complex technical concepts to non-technical audiences.

Benefits

• Salary up to $150,000
• Health cover