About the job
Company:Global Technology organization Key Skills: Machine Learning, Python, Generative AI, Gen AI, AI/ML, LLM, ML Engineering, Spark, PySpark, SparkSQL, Apache Spark, Azure, AWS Roles & Responsibilities: • Develop and deploy agentic AI workflows to support business processes within the private equity value chain. • Design, build, and optimize machine learning models and Generative AI solutions for enterprise applications. • Implement advanced practices in context engineering and evaluation frameworks for AI agents. • Research, train, fine-tune, and evaluate AI models to optimize performance and achieve defined objectives. • Build scalable web services and APIs to support model inferencing and AI-driven applications. • Develop and manage AI-ready data pipelines integrating structured and unstructured data sources. • Work with tools, functions, and Model Context Protocol (MCP) services to support AI workflows. • Ensure best practices in data quality, governance, security, and compliance. • Collaborate with data scientists, engineers, and stakeholders to support modeling and application needs. • Monitor and optimize performance of data and model pipelines, troubleshooting issues in real time. • Contribute to improving system reliability, scalability, and efficiency in AI-powered platforms. Experience Required: • 5 - 8 years of experience in machine learning, AI/ML engineering, or data engineering roles. • Strong programming experience in Python for machine learning and data processing. • Hands-on experience with Generative AI, LLM-based applications, and AI model deployment. • Experience working with big data technologies such as Apache Spark, PySpark, or SparkSQL. • Familiarity with cloud platforms such as Azure or AWS. • Experience building scalable data pipelines and AI inference services. • Strong understanding of machine learning lifecycle, model evaluation, and optimization techniques. • Experience working with cross-functional teams in data-driven environments. Education: Any Graduation
Requirements
- Machine Learning
- Python
- Generative AI
- AI/ML Engineering
- Spark
- PySpark
- SparkSQL
- Cloud Platforms
Qualifications
- Any Graduation
Preferred Technologies
- Machine Learning
- Python
- Generative AI
- AI/ML Engineering
- Spark
- PySpark
- SparkSQL
- Cloud Platforms
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