Information Technology
Full-Time
OSRAM India Pvt. Limited
Overview
Central Functions support the board as well as the business in achieving its strategic objectives. These are, for example, Information Technology, Human Resources, Logistics, Compliance, Finance and many more.
- Design, implement, and optimize machine learning models across various domains (e.g., SCM, Manufacturing, Product Management) following the Cross-Industry Standard Process for Data Mining (CRISP-DM) process.
- Train, fine-tune, and optimize deep learning models for diverse applications while handling large-scale datasets for preprocessing and transformation.
- Build and maintain robust data pipelines for AI applications, collaborating with data engineers to optimize infrastructure for efficient ML processing and deployment.
- Deploy, monitor, and optimize machine learning models in production environments, ensuring scalability and performance.
- Implement data security measures such as encryption, access controls, and sensitivity labels to safeguard data privacy and integrity.
- Provide training sessions, share best practices with internal teams, communicate analytical results effectively to business stakeholders, and stay updated with the latest trends and advancements in data science and AI.
- Bachelor’s degree in computer science, Mathematics, Statistics, Data Science, Artificial Intelligence, or a related field.
- Over 7 years of hands-on experience in Data Science, Machine Learning, and AI, with proficiency in Python, R, and ML libraries (e.g., Scikit-learn, Hugging Face, Open AI API).
- Expertise in designing, implementing, and optimizing machine learning models, including hyperparameter tuning, training/validation/testing, and evaluation metrics.
- Proficient in data preprocessing, cleaning, and transformation, with familiarity in deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong experience with MLOps tools (e.g., MLflow, Kubeflow, Docker, Airflow), cloud platforms (AWS, GCP, Azure), and CI/CD pipelines.
- Strong analytical, problem-solving skills, and a solid understanding of mathematics, statistics, and probability theory for AI/ML applications.
- Excellent communication, stakeholder management, and strong interpersonal and collaborative skills.
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