Improve existing Machine learning models for text and image processing. <\/div>
GPT prompt engineering to improve performance and accuracy. <\/div>
Deploy and optimize ML and AI modules and pipeline. <\/div>
Collaborate with other Business and Technology units to develop innovative solutions that meet business needs with respect to functionality, performance, scalability, reliability. <\/div><\/span>
Requirements<\/h3>
Basic Qualifications <\/div>
Bachelor’s degree in computer science, Information Systems, Engineering, or a related field <\/div>
Proficient in data analytics; structured and unstructured data processing <\/div>
2 -5 years of hands -on experience to train, tune & evaluate and deploy machine learning models. <\/div>
Demonstrated success in development and design of large -scale big data systems that perform complex event processing, machine learning and/or data mining <\/div>
Experience building applications on one or more public Cloud Platform (e.g., Azure, GCP) <\/div>
Expertise in advanced Python and SQL programming. <\/div>
Knowledge with orchestration tools (e.g., Databricks, ADF) for workflow management <\/div>
Demonstrated ability to lead and mentor teams while managing multiple priorities <\/div>
Strong communication and stakeholder management skills <\/div>
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Preferred Qualifications <\/div>
Experience working with data processing frameworks (e.g., PySpark) <\/div>
Experience with recent Large language Models (LLMs) or Computer Vision models <\/div>
Experience with Azure OpenAI, ChatGPT prompt engineering and backend LLMs. <\/div>