Generative AI Engineer (ID: 3054)
Generative AI Engineer (ID: 3054)
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6-8years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
- Design develop and maintain Generative AI models with hands-on expertise in frameworks like LangChain and Azure OpenAI.
- Build and deploy Natural Language Processing (NLP) solutions for real-world applications using advanced techniques in data preprocessing model evaluation and monitoring.
- Collaborate with cross-functional and multidisciplinary teams to integrate GenAI capabilities into broader data and product platforms.
- Leverage tools like Azure Machine Learning Databricks and Apache Spark to create scalable AI solutions.
- Participate in end-to-end lifecycle of GenAI-based projects from prototyping to deployment including CI/CD pipelines and MLOps practices.
- Contribute to system architecture and ensure performance reliability and scalability across GenAI systems.
- 6 8 years of experience in data engineering or machine learning with a strong focus on Generative AI and NLP.
- Deep knowledge and hands-on expertise in LangChain OpenAI and Azure AI services.
- Proficient in Python SQL and distributed processing frameworks like Databricks and Apache Spark.
- Familiarity with Azure DevOps including CI/CD pipelines and cloud engineering best practices (nice to have).
- Practical experience working in team-oriented environments and integrating GenAI solutions with existing systems.
- Translate business and user needs into scalable and responsible GenAI solutions.
- Collaborate effectively in multidisciplinary and agile teams.
- Troubleshoot debug and improve AI model pipelines and cloud-based ML infrastructures.
- Stay up-to-date with the latest developments in LLMs MLOps and AI frameworks.
- Deliver production-grade solutions in fast-paced and dynamic environments.
- The opportunity to work on cutting-edge Generative AI projects with real-world impact.
- A collaborative innovation-driven environment fostering professional growth and skill advancement.
- Access to modern AI tools cloud platforms and enterprise-scale challenges.
Let s Connect
Want to discuss this opportunity in more detail Feel free to reach out.
Recruiter: Mary Jesima
Phone:; Extn : 132
Email:
LinkedIn: As a Generative AI Engineer, you will: Design, develop, and maintain Generative AI models, with hands-on expertise in frameworks like LangChain and Azure OpenAI. Build and deploy Natural Language Processing (NLP) solutions for real-world applications using advanced techniques in data preprocessing, model evaluation, and monitoring. Collaborate with cross-functional and multidisciplinary teams to integrate GenAI capabilities into broader data and product platforms. Leverage tools like Azure Machine Learning, Databricks, and Apache Spark to create scalable AI solutions. Participate in end-to-end lifecycle of GenAI-based projects, from prototyping to deployment, including CI/CD pipelines and MLOps practices. Contribute to system architecture and ensure performance, reliability, and scalability across GenAI systems. What You Bring to the Table: 6 8 years of experience in data engineering or machine learning with a strong focus on Generative AI and NLP. Deep knowledge and hands-on expertise in LangChain, OpenAI, and Azure AI services. Proficient in Python, SQL, and distributed processing frameworks like Databricks and Apache Spark. Familiarity with Azure DevOps, including CI/CD pipelines and cloud engineering best practices (nice to have). Practical experience working in team-oriented environments and integrating GenAI solutions with existing systems. You should possess the ability to: Translate business and user needs into scalable and responsible GenAI solutions. Collaborate effectively in multidisciplinary and agile teams. Troubleshoot, debug, and improve AI model pipelines and cloud-based ML infrastructures. Stay up-to-date with the latest developments in LLMs, MLOps, and AI frameworks. Deliver production-grade solutions in fast-paced and dynamic environments. What We Bring to the Table: The opportunity to work on cutting-edge Generative AI projects with real-world impact. A collaborative, innovation-driven environment fostering professional growth and skill advancement. Access to modern AI tools, cloud platforms, and enterprise-scale challenges. Let s Connect Want to discuss this opportunity in more detail? Feel free to reach out. Recruiter: Mary Jesima Phone: ; Extn : 132 Email: LinkedIn:
Employment Type
Full Time
