Hiring for Data Science

2 weeks ago

Pune, Maharashtra, India Cybage Software Full time US$ 80,000 - US$ 1,20,000 per year

Role: Data Science/ AI/ MLLocation: PuneExperience: 4-7 years About Cybage:Founded in 1995, Cybage Software Pvt. Ltd is specialized in outsourced product engineering services.

As a leader in the Technology and product engineering space, Cybage works with some of the world's best independent software vendors. Our solutions are focused on modern technologies and are enabled by a scientific, data driven system called Decision Mines for Digital Excellence. This unique model de-risks our approach, provides better predictability, and ensures a better value per unit cost to our clients.

You will get an opportunity to be a part of highly skilled talent pool of more than 7000 employees. Apart from Pune, we have our operations hub in GNR and Hyderabad as well and we have also marked our presence in North America, Canada, UK, Europe, Japan, Australia, and Singapore. We provide seamless services and dependable deliveries to our clients from diverse industry verticals such as Media and Entertainment, Travel and Hospitality, Online Retail, Healthcare, SCM and Technology.

Required Qualifications:Bachelor's or Master's in CS, Data Science, or related fields.3 years of experience in data science, ML engineering, or cloud-based systems. (Based on role)Strong understanding of ML lifecycle, CI/CD, and cloud deployment strategies. Prior experience in productionizing AI models on the cloud.

Familiarity with data governance and ML security best practices. Technologies requiredDesign, implement, and optimize ML pipelines using tools like TensorFlow, PyTorch, MLflow, Scikit-learn, or ONNX.Operationalize models with CI/CD for ML (MLOps) practices using Kubeflow, Azure ML, or SageMaker. Work with data scientists to translate prototypes into production-level code.

Build scalable data ingestion and transformation pipelines using Apache Spark, Databricks, Pandas, or SQL.Perform feature engineering and data cleansing for model input. Leverage data visualization tools (Plotly, Power BI, Tableau) for business insights. Cloud & DevOps( nice to have)Develop and deploy solutions on Azure, AWS, or Google Cloud Platform (GCP).

Implement infrastructure as code (IaC) using Terraform, Bicep, or CloudFormation. Ensure high availability, security, and scalability of ML services using Docker, Kubernetes, and Helm.

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