Machine Learning Engineer

7 days ago

Varanasi, India ServiceChannel Full time

Job Description:

ServiceChannel is the leading cloud-based service automation platform for facilities management. We empower businesses to source, procure, manage, and pay for repair and maintenance services through a single, unified platform. Our mission is to simplify operations and deliver exceptional customer experiences through innovation and technology.

We are looking for a highly skilled and experienced Senior AI/ML Developer to join our dynamic team. In this role, you will design and deploy state-of-the-art machine learning (ML) models, develop scalable data pipelines, and collaborate with cross-functional teams to drive innovative solutions. You will work with large and complex datasets, implement cutting-edge technologies, and shape the future of our AI-driven initiatives.

Responsibilities:

  • Build and automate robust, scalable ML pipelines for training, validation, deployment, and monitoring in production environments.
  • Collaborate with data scientists, engineers, and product managers to understand business requirements and translate them into ML solutions.
  • Analyze and process large-scale datasets to develop efficient ML models and drive actionable insights.
  • Own the end-to-end ML model lifecycle, including versioning, deployment, performance monitoring (e.g., drift detection), recalibration, troubleshooting, and retraining.
  • Develop and manage CI/CD pipelines for ML workflows, including automated testing, containerization, and model registry integration.
  • Implement and manage scalable ML infrastructure for data processing, training, and inference in collaboration with DevOps and engineering teams.
  • Continuously improve engineering practices, code quality, and automation, while staying up to date with the latest trends in AI, ML, and MLOps.

Requirements:

  • Minimum 5 years of experience in ML engineering or a combination of ML engineering and data science, with a focus on data analysis, feature engineering, model development, deployment, and maintenance.
  • Strong hands-on experience with Databricks for ML model development and deployment.
  • Strong understanding of machine learning and data science fundamentals (e.g., supervised and unsupervised learning, feature selection, etc.).
  • Proficiency with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience implementing MLOps practices using tools such as MLflow and CI/CD platforms (e.g., GitHub).
  • Deep understanding of the ML model lifecycle and production workflows.
  • High proficiency in SQL and Python.
  • Familiarity with cloud-based data platforms such as Snowflake or similar technologies.
  • Excellent communication and interpersonal skills to collaborate across teams.
  • Robust problem-solving and analytical skills.

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