<p><p><b>Role Overview :</b></p><p><p><b><br/></b></p>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.<br/><br/><b>Key Responsibilities : </b><br/><br/><b>Problem Understanding :</b></p><p><p><b><br/></b></p>- Collaborate with cross-functional teams to identify and understand business challenges.<br/><br/></p><p>- Translate business problems into analytical tasks and define the problem scope.<br/><br/><b>Data Exploration and Preparation : </b></p><p><br/></p><p>- Collect, clean, and preprocess large datasets from multiple sources.<br/><br/></p><p>- Perform exploratory data analysis (EDA) to extract meaningful insights.<br/><br/><b>Model Development and Time-Series Analysis : </b></p><p><p><b><br/></b></p>- Design, develop, and optimize AI/ML models to solve complex problems.<br/><br/></p><p>- Apply advanced techniques to analyze and forecast time-series data.<br/><br/></p><p>- Implement end-to-end machine learning pipelines, from data ingestion to deployment.<br/><br/><b>Deployment and Scalability : </b></p><p><br/></p><p>- Build and deploy machine learning models into production environments.<br/><br/></p><p>- Ensure scalability, robustness, and efficiency of deployed models.<br/><br/></p><p>- Implement MLOps practices for model lifecycle management.<br/><br/><b>Communication : </b></p><p><br/></p><p>- Present technical findings and actionable insights to non-technical stakeholders.<br/><br/></p><p>- Create visualizations and reports to communicate results effectively.<br/><br/><p><b>Continuous Improvement : </b></p><p><br/></p><p>- Stay updated with the latest advancements in AI/ML technologies.</p><p><br/></p><p>- Experiment with new tools and techniques to enhance model performance</p><p><br/><b>Experience : </b></p></p><p><br/></p><p>- 3 - 5 years of hands-on experience in AI/ML model development, deployment, and lifecycle management.<br/><br/><b>Qualifications : </b></p><p><br/></p><p>- Bachelors or Masters degree in Computer Science, Data Science, Statistics, or related fields.</p><p><br/><b>Required Skills : </b></p><p><p><b><br/></b></p> Proficiency in programming languages like Python.<br/><br/></p><p>- Strong knowledge of machine learning algorithms, deep learning frameworks (e.g., </p><p>TensorFlow, PyTorch), and optimization techniques.<br/><br/></p><p>- Experience working with time-series data analysis and forecasting techniques.<br/><br/></p><p>- Expertise in deploying models using cloud platforms (AWS, GCP, Azure) and containerization </p><p>tools (e.g., Docker, Kubernetes).<br/><br/></p><p>- Excellent communication and presentation skills to convey complex ideas clearly.</p><br/></p> (ref:hirist.tech)