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Job title: Data Scientist
Report to: Data Science Manager in Pune
About Us:
ARKRAY is a global healthcare company that is contributing to the health and well-being of people all over the world through the discovery of new technologies. With over 65 years in business, our products are now being used in 100 different countries worldwide and still growing; especially in the Asia region. We are currently looking for the top talents who can help us accelerate our R&D team.
About the Role
We're building cutting-edge AI products in healthcare and are looking for a hands-on Data Scientist who thrives in fast-paced environments. You'll work across computer vision, time-series, and miRNA/tabular data, owning problems end-to-end — from research to production.
If you enjoy turning messy real-world data into deployable AI systems and shipping quickly, this role is for you.
What You'll Do
1.Medical imaging (microscopy, urine sediment analysis)
2.Blood glucose prediction & continuous monitoring
3.miRNA-based cancer detection
1.Images (CV models like YOLO, ResNet)
2.Time-series (forecasting, sequential modeling)
3.Tabular biomedical data (e.g., miRNA expression using XGBoost, CatBoost, MLPs)
What We're Looking For
1. Computer Vision
2. Time-Series Modeling
3. Tabular ML (especially biomedical or high-dimensional data like miRNA)
Must Have
Why Join Us
Job ID: 153552651
Skills:
Machine Learning, Version Control, Unit Testing, XGBoost, Python, software engineering best practices, scikit-learn, reinforcement learning, causal inference techniques, Packaging, contextual multi-armed bandits, quasi-experimental methods, uplift modeling, modular code, counterfactual analysis
Skills:
S3, Aws Services, Sql, Tensorflow, Lambda, Pytorch, Data Visualization, Python, Step Functions, Scikit-learn, R, ETL workflows
Skills:
data engineering , Elk, Prometheus, Kafka, Grafana, Datadog, Tensorflow, Pytorch, Terraform, Docker, Python, Azure DevOps, AWS, Hadoop, Google Cloud Platform, Cloudformation, Apache Spark, Jenkins, MLops, Software Engineering, Spark, Databricks, Azure, Kubernetes, Airflow, MLflow, Flink, GitHub Actions, Bicep, Machine Learning Engineering, Scikit-learn, Azure Monitor
Skills:
Machine Learning, Api Integration, Python, Deep Learning, Azure OpenAI Service, LLM and Transformer Architectures
Skills:
Tableau, Tensorflow, Data Science, Pytorch, XGBoost, Python, AWS, Hadoop, Power Bi, Sql, Hive, MLops, Spark, Azure, scikit-learn, Cloud Platforms, Dash, Model Deployment, Generative AI, Plotly, Unstructured Data Analysis, Statsmodels, Agentic AI, Model Monitoring, Retrieval Augmented Generation