Machine Learning Engineer

Title: Machine Learning (ML) Engineer

Location: San Jose, CA

Compensation: Up to $130,000

Job Description

Insight Global is looking for a ML Engineer to join a growing client’s team to cover a variety of responsibilities:

• Build and evaluate ML models such as classification, regression, anomaly detection and time series
• Perform feature engineering and exploratory analysis on semiconductor datasets
• Support model deployment with senior ML staff
• Assist with model monitoring and documentation
• Experiment with modern analytics and LLM techniques
• Data Engineering Support: Help build and maintain ETL or ELT pipelines, perform data quality checks and validation, and Ensure data accessibility across cloud or on premise environments
• Cross Functional Collaboration

Required Skills & Experience

• Strong Python proficiency
• Experience with ML modeling using Scikit learn, TensorFlow or PyTorch
• Hands on work with Pandas and NumPy
• Exposure to data engineering concepts like ETL or ELT
• Basic understanding of APIs
• Experience with Docker or other container tools
• Comfort in Linux environments
• Experience with dashboards like Power BI, Tableau or Dash

Education:

• BS or MS in CS, Data Science, Engineering, Applied Math or similar
• Project, internship or coursework based ML experience

Nice to Have Skills & Experience

• Experience with cloud platforms

• Exposure to MLOps tools like MLflow, Kubeflow or W&B

• Experience with time series modeling or anomaly detection

• Semiconductor data experience

• Understanding of model monitoring or retraining workflows

• Familiarity with SQL or dbt

•Any experience with workflow orchestration tools like Airflow or Prefect