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Data Scientist - Machine Learning Models


Krishna Global Services Pvt. Ltd


Location

Bangalore | India


Job description

Role : Data ScientistLocation : Bangalore ContractNotice period : Immediate to 30 days Experience : 3-5 YrsKey Responsibilities :1. Model Development: Design and implement ML models to tackle complex business challenges.2. Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features.3. Model Training: Train and fine-tune ML models using various techniques including deep learning and ensemble methods.4. Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability.5. Deployment: Deploy ML models in production, monitor performance for reliability.6. Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions.7. Research: Stay updated on ML/AI advancements, contribute to internal knowledge.8. Documentation: Maintain comprehensive documentation for all ML models and processes.Must Have :1. Education: Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field.2. Professional Experience: Full-stack Data Scientist with a track record in ML model development and deployment in production. Experienced in architecting solutions with CI/CD processes.3. Proficiency: Proficiency in programming languages, Python is a must know. Proficient in Azure Databricks.4. Data Science Skills: Experience in data preprocessing, feature engineering, model building and model evaluation.5. Cloud and Containerization: Knowledge of cloud platforms and familiarity with containerization technologies, such as Docker.6. Software Development Practices: Familiarity with software development practices, version control, and agile methodologies.7. Distributed Computing: Familiarity with distributed in-memory computing technologies.Good to Have :1. Experience with Big Data and analytics using technologies like Hadoop, Spark, etc.2. Proficient in Spark, familiar with deep learning frameworks like TensorFlow, PyTorch, etc3. Additional experience or knowledge in AI/ML technologies beyond the mentioned frameworks.4. Enhanced expertise in SQL. (ref:hirist.tech)


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