Position Overview:

We are seeking a Machine Learning Engineer to design, develop, and optimize machine learning models for our evolving analytics platform. You will work closely with cross-functional teams to implement scalable machine learning pipelines, ensuring high standards of model quality, reliability, and performance. This role offers the chance to work with state-of-the-art technologies and significantly impact our machine learning ecosystem.

Key Responsibilities:

• Develop and optimize machine learning pipelines using frameworks like TensorFlow, PyTorch, and scikit-learn.
• Collaborate with data scientists, engineers, and domain experts to deploy robust solutions.
• Implement ETL processes for large-scale data preprocessing, feature engineering, and model training.
• Ensure model integrity, consistency, and security throughout the lifecycle.
• Set up monitoring and alerting systems to detect and address model performance issues.
• Provide technical guidance to stakeholders on leveraging machine learning effectively.
• Promote best practices in machine learning engineering, including code quality and documentation.
• Stay updated on emerging machine learning and data engineering technologies.

Qualifications:

• Degree in Computer Science, Engineering, or related field.
• Experience in building scalable machine learning pipelines and deploying production models.
• Proficiency in TensorFlow, PyTorch, and Python programming.
• Strong skills in data preprocessing, feature engineering, and model evaluation.
• Solid understanding of database concepts, SQL, and performance optimization.
• Excellent problem-solving and collaboration skills.

Preferred Qualifications:

• Experience with cloud platforms (Google Cloud, Azure, AWS).
• Familiarity with streaming data technologies like Kafka or Spark Streaming.
• Knowledge of containerization (Docker, Kubernetes) and workflow management tools (Airflow, Luigi).
• Contributions to open-source projects or active involvement in the machine learning community.

Benefits:

• Competitive salary and incentives.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with employer matching.
• Flexible work schedule and remote work options.
• Professional development opportunities.
• Engaging company culture with team events.

If you’re passionate about using machine learning to drive innovation, we want to hear from you! Apply now to join us on an exciting journey.