AI Data Scientist

3 - 7 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: You will be a skilled Data Scientist with expertise in Artificial Intelligence (AI), AI Agent development, and hands-on experience using RapidMiner to drive transformative insights from complex datasets. Your main responsibility will be to design, develop, and deploy AI-driven solutions and agents to optimize decision-making, enhance predictive capabilities, automate workflows, and unlock actionable insights with a focus on market and competitive intelligence. Key Responsibilities: - Develop and implement predictive models, machine learning algorithms, and AI solutions, and AI agents to solve business challenges. - Clean, preprocess, and analyze large-scale datasets (structured and unstructured) to extract meaningful patterns. - Implement reinforcement learning (RL), natural language processing (NLP), and multi-agent systems to solve complex industrial challenges. - Translate business requirements into modular, reusable AI agent architectures. - Build end-to-end AI agent pipelines, including data ingestion, model training, validation, and deployment in production environments. - Conduct testing and performance monitoring of AI agents to ensure scalability and reliability. - Collaborate closely with software engineers, product managers, and business stakeholders to integrate AI solutions into products and operations. - Document methodologies, findings, and model performance comprehensively to ensure reproducibility, transparency, and knowledge sharing across the organization. Qualifications: - Strong statistical analysis and problem-solving skills. - Ability to translate business requirements into technical solutions. - Excellent communication and teamwork skills. - Strong understanding of multi-agent systems, decision optimization, and autonomous learning. - Ability to design scalable, fault-tolerant AI architectures. - Innately curious, highly adaptable, and possessing strong intellectual curiosity with a continuous learning mindset. - Proactive problem-solver with a knack for identifying opportunities to leverage data and AI for business value. - Proven ability to present complex analytical findings clearly and concisely to both technical and non-technical stakeholders, utilizing data visualization tools. - Degree in Data Science, Computer Science, AI, or related field. - 3-5+ years of experience in AI/ML model development and deployment. - Proven expertise in RapidMiner and/or similar solutions for data preparation, modeling, and automation. - Proficiency in programming languages (Python, R, SQL). - Experience with big data tools (Snowflake, Spark, Hadoop). - Familiarity with agent-based modeling tools (e.g., LangChain, AutoGen, RLlib). - Practical experience with version control systems (e.g., Git) for collaborative code development and model management. - Experience with cloud platforms (e.g., AWS, Azure, GCP) for data storage, processing, and model deployment. - Demonstrated experience in deploying and managing machine learning models in production environments (MLOps). (Note: Omitted the section "Any additional details of the company if present in JD" as it was not part of the provided job description.),

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