AI/ML Research Engineer

New
IndiaFull-Time
Salary not disclosed
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Job Details

Required Skills
PythonSQLMachine LearningMicrosoft SQL ServerNLPPrompt Engineering

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Systems Engineering, or a related field, or equivalent practical experience.
  • Strong hands-on experience in Python and prompt engineering for large language models (LLMs).
  • Proven experience building agentic AI systems or AI assistant-style applications.
  • Solid understanding of Natural Language Processing (NLP) and deploying scalable machine learning models.
  • Strong SQL expertise and experience working with enterprise databases such as SAP HANA, DB2, and SQL Server.
  • Experience working in large-scale enterprise data environments or comparable systems.
  • Familiarity with cloud AI/ML platforms and relevant certifications (e.g., Azure AI Engineer, AWS ML) is highly desirable.
  • Experience with Model Context Protocol (MCP), predictive modeling, or Node.js is a plus.
  • Strong problem-solving mindset with the ability to work in fast-paced, collaborative environments.
  • Ability to evaluate trade-offs between different AI models and architectures based on business and technical needs.

Responsibilities

  • Design, develop, and deploy agentic AI systems and LLM-based applications with a focus on scalability, performance, and reliability.
  • Build and optimize AI/ML models using Python, including prompt engineering and integration with modern LLM frameworks.
  • Develop AI assistant-style and agent-based applications that automate complex workflows and decision-making processes.
  • Work with large-scale enterprise data systems and databases such as SAP HANA, DB2, and SQL Server, leveraging advanced SQL for data processing and analysis.
  • Evaluate and select appropriate AI models based on use case requirements and performance trade-offs.
  • Collaborate with cross-functional teams to design architecture, integrate models, and deploy solutions in cloud environments.
  • Support the development and scaling of AI solutions in enterprise-grade environments, ensuring robustness and maintainability.
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