Job Description
About Medline
Description du poste
Medline Industries India Pvt. Ltd. is engaged in providing offshore business support services to Medline Industries Inc. & its global associate companies in the area of Information Services, Finance & Business processes Management. Medline Industries India Private Limited was setup in 2010 in Pune, India and today we are proud team of 700 plus associates supporting Medline’s healthcare vision across USA, Europe & other International regions.
Medline is America's largest privately held national manufacturer and distributor of health care supplies and services. Today, Medline manufactures and distributes more than 550,000 medical products, encompassing medical-surgical items and one of the largest textile lines in the industry. With 17 manufacturing facilities worldwide and over 25 joint venture manufacturing plants worldwide, along with 40 distribution centers in North America and 50 throughout the world, Medline posted $ 13.0 billion revenue last year.
Why Join Medline
- A direct, full-time employment in a large, stable, rapidly growing and yet profitable company.
- Privately owned company with no public debts.
- No ill effects of recent downturn/recession.
- First-rate compensation and benefits package.
- Genuine individual growth potential in this new establishment.
- Open door and highly ethical work culture, with due accountability.
Required Skills
- MS/ MSc in Applied Mathematics/ statistics, Computer Science, or related technical field
- 3 - 5 years of hands-on experience in data mining and predictive analytics with machine learning/statistical modeling techniques.
- Experience with data science tools like Matlab, RapidMiner, AzureML, Java-Weka, R and Python
- 3 years of advanced machine and deep learning experience. Intimate knowledge of foundational frameworks like Scikit-learn, Tensorflow, XGBoost, Keras, NumPy, SciPy, Pandas, PyTorch, NLTK, MXNet, Caffe, and visualization and scraping frameworks
Desired Skills
- Experience in Azure or similar cloud environment - ML Studio/Workbench for modeling, MLVM and DLVM for training and hosting, and containers for hosting
- Basic working knowledge of NoSQL databases, Apache Spark, Hadoop
- Exposure to SCM/ Logistics domain
Responsibilities
- Modeling - Own data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking, and documentation
- Modeling - Use advanced machine learning and deep learning techniques, on structured and unstructured, text and images based data. Use python as the first language.
- Modeling - Leverage non-programmatic machine and deep learning where needed - auto ML/DL, self-service/semi self-service platforms
- Pre-Modeling - Guide BI/ DW Analysts to help create complex datasets per specs needed for modeling - audit preliminary datasets
- Post Modeling – Leverage Machine Learning tools and techniques to develop and deploy as web services, APIs or native class as needed
- Continuous Learning - Stay updated and educated with Deep Learning, NLP, information retrieval research and applications, and share expertise with the team
- Continuous Learning - Learn new/beta frameworks on the job as needed (e.g. LIME)
- Communicate complex algorithmic solutions to a business audience