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Machine Learning Engineer
Commercial Metals
US
Remote

23 days ago

Job Description

Job Title: Machine Learning Engineer (LLM/NLP, Fraud Detection, AWS)

Location

USA (Remote or Onsite)

About the Role

We are seeking a highly skilled Machine Learning Engineer with expertise in Large Language Models (LLM), Natural Language Processing (NLP), and fraud detection. The ideal candidate will have hands-on experience with AWS cloud services and a passion for developing innovative solutions to complex problems. You will play a key role in designing, building, and deploying machine learning models to detect and prevent fraudulent activities.

Key Responsibilities

  • Design, develop, and deploy machine learning models with a focus on LLM and NLP applications.
  • Implement and optimize fraud detection algorithms using advanced data science techniques.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Utilize AWS services for scalable model training, deployment, and monitoring.
  • Analyze large datasets to extract actionable insights and improve model performance.
  • Stay updated with the latest advancements in machine learning, NLP, and fraud detection.

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
  • Proven experience in developing and deploying LLM and NLP models.
  • Strong background in fraud detection methodologies and best practices.
  • Proficiency with AWS cloud services (SageMaker, EC2, S3, Lambda, etc.).
  • Solid programming skills in Python and familiarity with ML libraries (TensorFlow, PyTorch, Hugging Face, etc.).
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork abilities.

Preferred Qualifications

  • Experience working in financial services, e-commerce, or related industries.
  • Familiarity with real-time data processing and streaming technologies.
  • Knowledge of data privacy and security best practices.

Company Culture & Benefits

We foster a collaborative, innovative, and inclusive work environment where your ideas are valued. Our team is passionate about leveraging technology to solve real-world challenges. We offer:

  • Competitive compensation and benefits package
  • Flexible work arrangements (remote/onsite)
  • Opportunities for professional growth and development
  • Supportive and diverse team culture
  • Health, dental, and vision insurance
  • Generous paid time off and holidays

How to Apply

If you are excited about leveraging machine learning to combat fraud and want to work with cutting-edge technologies, we encourage you to apply!

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