Role Overview :We are seeking a highly skilled and motivated Senior Data Scientist with 3-5 years of experience in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate will be responsible for driving end-to-end problem-solving initiatives, from understanding the problem to developing predictive and prescriptive models, deploying solutions, and effectively communicating insights to stakeholders. Experience in time-series analysis and CAD/CAE will be considered a strong plus.Key Responsibilities : Problem Understanding :- Collaborate with cross-functional teams to identify and understand business challenges.- Translate business problems into analytical tasks and define the problem scope.Data Exploration and Preparation : - Collect, clean, and preprocess large datasets from multiple sources.- Perform exploratory data analysis (EDA) to extract meaningful insights.Model Development and Time-Series Analysis : - Design, develop, and optimize AI/ML models to solve complex problems.- Apply advanced techniques to analyze and forecast time-series data.- Implement end-to-end machine learning pipelines, from data ingestion to deployment.Deployment and Scalability : - Build and deploy machine learning models into production environments.- Ensure scalability, robustness,



and efficiency of deployed models.- Implement MLOps practices for model lifecycle management.Communication : - Present technical findings and actionable insights to non-technical stakeholders.- Create visualizations and reports to communicate results effectively.Continuous Improvement : - Stay updated with the latest advancements in AI/ML technologies.- Experiment with new tools and techniques to enhance model performanceExperience : - 3 - 5 years of hands-on experience in AI/ML model development, deployment, and lifecycle management.Qualifications : - Bachelors or Masters degree in Computer Science, Data Science, Statistics, or related fields.Required Skills : Proficiency in programming languages like Python.- Robust knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and optimization techniques.- Experience working with time-series data analysis and forecasting techniques.- Expertise in deploying models using cloud platforms (AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes).- Excellent communication and presentation skills to convey complex ideas clearly. (ref:hirist.tech)

📌 Data Scientist - Artificial Intelligence/Machine Learning (Bengaluru)
🏢 Skyleaf
📍 Bengaluru