Data Scientist
22 hours ago
Job Description :Key Responsibilities : - Design, develop, and deploy AI and ML solutions using Python and modern frameworks. - Work with LLM APIs such as OpenAI, Anthropic, or similar, integrating them into production systems. - Develop intelligent applications using LangChain, CrewAI, or AutoGen frameworks (experience with at least one is sufficient). - Build function-calling pipelines and tool-using agents that can interact with external APIs and dynamic systems. - Conduct prompt engineering and optimize responses using techniques like Chain-of-Thought reasoning and ReAct patterns. - Translate business requirements into technical architectures and workflows, ensuring data consistency and accuracy. - Handle dirty or inconsistent data, designing effective data-cleaning and validation workflows. - Define and manage edge cases, error handling, and fallback strategies within AI applications. - Collaborate with non-technical stakeholders to understand requirements and deliver interpretable AI-driven insights. - Write clean, maintainable, and well-documented code with detailed technical explanations and usage documentation. - Debug and resolve complex production issues, optimizing performance and scalability. Required Skills & Experience : - 3- 8 years of professional experience as a Data Scientist or AI/ML Engineer. - Proven experience in deploying at least one AI or ML system into production (currently live). - Strong hands-on experience in Python development and ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn). - Practical experience with LLM APIs and frameworks like LangChain, CrewAI, or AutoGen. - Working knowledge of prompt design, few-shot learning, and model evaluation techniques. - Experience with API integration, microservices, and containerized environments (Docker/Kubernetes) is a plus. - Strong analytical and problem-solving abilities with an eye for detail and data accuracy. - Excellent written and verbal communication skills with the ability to explain technical concepts to non-technical audiences. - Experience working in agile, collaborative, and remote team environments. Preferred Qualifications : - Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related disciplines. - Experience with MLOps tools, vector databases, or embedding-based retrieval systems (e.g., Pinecone, FAISS). - Exposure to cloud platforms (AWS, Azure, or GCP) for model deployment and data management. (ref:hirist.tech)
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