Machine Learning Engineer

2 weeks ago

Madurai, India Maestro Technologies, Inc. Full time

We are seeking a talented and experienced Machine Learning Engineer to design, develop, and deploy machine learning models and systems. The ideal candidate will have a strong background in machine learning, expertise in Google Cloud Platform (GCP), Databricks, and proficiency in SQL. As a Machine Learning Engineer, you will work closely with data scientists, engineers, and product teams to build scalable and efficient machine learning solutions.

Key Responsibilities:

  • Model Development: Design, implement, and deploy machine learning models and algorithms to solve complex problems and drive business insights.
  • Data Engineering: Utilize GCP and Databricks to build and maintain data pipelines, perform data preprocessing, and ensure the availability and quality of data for modeling purposes.
  • SQL Expertise: Write and optimize SQL queries to extract, manipulate, and analyze data from various databases, ensuring that data used for modeling is accurate and relevant.
  • Collaboration: Work closely with data scientists, software engineers, and product managers to understand business requirements and translate them into machine learning solutions.
  • Performance Tuning: Optimize model performance through rigorous testing, validation, and tuning. Ensure models are scalable and can handle large volumes of data.
  • Documentation: Maintain comprehensive documentation for model development, data processing workflows, and system architecture.
  • Stay Current: Keep up-to-date with the latest advancements in machine learning, data engineering, and cloud technologies.

Qualifications:

  • Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree is a plus.
  • Experience: 3+ years of professional experience as a Machine Learning Engineer or in a similar role, with a proven track record of deploying machine learning models in production.
  • Technical Skills:
  • Google Cloud Platform (GCP): Experience with GCP services such as BigQuery, AI Platform, and Dataflow.
  • Databricks: Hands-on experience with Databricks for data engineering, data science, and model deployment.
  • SQL: Proficiency in writing complex SQL queries for data extraction, transformation, and analysis.
  • Programming Languages: Proficiency in Python or R, and familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Soft Skills:
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Ability to work independently and manage multiple priorities effectively.

Preferred Skills:

  • Experience with additional cloud platforms (e.g., AWS, Azure).
  • Knowledge of containerization technologies such as Docker and Kubernetes.
  • Familiarity with version control systems (e.g., Git).

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