Senior AI/ML Developer at Fluke - Level 3

Job Title: 

Senior AI/ML Developer

Location: 

IDC

Job Type: 

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.