Machine Learning Developer (New or Recent Graduate)

Role overview

Key responsibilities

• Design, develop, test, and implement machine learning solutions.
• Translate business requirements into technical specifications and scalable solutions.
• Develop Python applications and deploy machine learning models in AWS.
• Build serverless applications using Lambda, API Gateway, S3, and related AWS services.
• Support user interfaces integrated with machine learning applications.
• Perform model evaluation, feature engineering, data processing, monitoring, troubleshooting, and optimization.
• Follow security, logging, performance, release management, version control, and CI/CD standards.
• Collaborate with product, engineering, and business teams.

Technical skills

• Strong Python programming ability for application development, data processing, and machine learning implementations.
• Experience or knowledge with machine learning libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Experience developing or deploying AWS solutions and understanding serverless services including Lambda, API Gateway, S3, IAM, CloudWatch, and SageMaker.
• Knowledge of supervised and unsupervised learning, model training, evaluation, feature engineering, optimization, and deployment.

Qualifications

• Approximately one to three years of relevant experience or equivalent project, internship, research, co-op, or graduate-level experience.
• Post-secondary degree in a relevant discipline such as Computer Science, Software Engineering, Data Science, Mathematics, Engineering, AI, or Machine Learning.
• Strong understanding of machine learning algorithms and statistical modeling concepts.
• Experience with Python, AWS cloud technologies, serverless architectures, software engineering, testing, the software development lifecycle, and Git.
• Strong analytical, problem-solving, debugging, verbal, and written communication skills.

Preferred qualifications

• Experience with SageMaker or other machine learning deployment platforms is preferred.
• Experience with user-facing applications, dashboards, UI components, APIs, microservices, cloud-native architectures, CI/CD, MLOps, or Agile delivery is preferred.
• A Master's degree or MBA with AI, Analytics, Data Science, or Technology-focused projects is preferred.

Compensation

• The stated salary range is $55,500 to $120,000 on a salaried pay basis.

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