Data Scientist

Primary Responsibilities:

• Lead the design, development, and implementation of scalable AI/ML solutions, leveraging Python, SQL, pandas, numpy, and modern ML frameworks (TensorFlow, PyTorch, ScikitLearn).
• Lead the predictive maintenance practice for critical medical imaging equipment (MRI and CT Scanners).
• Experience with streaming data, IOT architectures and tools, Edge devices and Systems integration
• Oversee endtoend ML workflowsfrom data preparation, feature engineering, EDA, and model development to evaluation, deployment, and continuous monitoring.
• Guide model selection, optimization, and tuning, ensuring solutions balance performance, explainability, cost, and Responsible AI principles.
• Build and maintain productiongrade ML pipelines with orchestration and experimenttracking tools such as MLflow, Feature Stores, ONNX, and vector databases.
• Lead drift analysis, observability, and model health monitoring to ensure ongoing accuracy, reliability, and robustness in production environments.
• Design and support scalable, multicloud ML infrastructure (Azure/GCP primary, AWS optional), incorporating best practices for compute, storage, networking, and distributed data processing.
• Collaborate with data engineering teams to integrate realtime and batch pipelines built on Synapse/BigQuery, Dataflow/Databricks, and Kafka/EventHub/PubSub.
• Work closely with engineering, product, data science, and UX to translate business requirements into actionable technical solutions and architecture patterns.
• Review and guide the creation of architecture diagrams, C4 models, ADRs, and technical specifications as part of engineering governance.
• Mentor and coach data scientists and ML engineers on best practices in model development, experimentation, coding standards, optimization, and cloudnative ML deployment.
• Ensure ML systems meet high standards of scalability, security, reliability, automation, observability, and operational excellence.
• Collaborate with frontend teams where needed to ensure ML components integrate seamlessly with product workflows and user-facing experiences.
• Stay current with emerging AI/ML tools, frameworks, and research; evaluate applicability to current and future projects.
• Communicate technical concepts, design trade-offs, and recommendations clearly to both technical and nontechnical stakeholders, including leadership.
• Document methodologies, experiments, findings, and implementation details to ensure maintainability and knowledge sharing across teams.
• Comply with company policies, employment terms, and organizational directives related to work arrangements and project assignments.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
• 5-7 years of experience in Data Science, AI/ML, or a similar role, with 2+ years in leadership roles
• Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis
• Experience in Predictive Maintenance (using AI), IOT (Internet of Things), Sensors, Smart Manufacturing, Uptime of MRI and CT Scan machines, PHM (Prognostics and Health management), Digital Twins
• Experience with Time series models including foundational models, Signal processing, Anomaly detection, Remaining Useful life (RUL) of equipment
• Hands-on experience in delivering production-grade AI/ML projects
• Solid programming skills in Python, with experience in pandas, numpy, and SQL
• Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
• Solid understanding ofmathematical and statistical concepts
• Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.) is a plus.
• Proven excellent problem-solving and analytical thinking skills
• Solid communication and collaboration skills to work effectively in a team environment

Preferred Qualification:

• Familiarity with IOT and medical equipment predictive maintenance