Role and Responsibilities

• Develop, deploy, and maintain advanced AI and machine learning models, including Generative AI, LangChain, and NLP solutions.
• Design and implement machine learning algorithms, ensuring they meet outlined goals and integrate effectively into existing applications.
• Utilize Python programming for software development; Java knowledge is a plus.
• Create and maintain comprehensive documentation, including data dictionaries, model documentation, and code documentation.
• Integrate AI/ML models into applications for both batch and real-time processing.
• Collaborate effectively with team members and stakeholders, demonstrating strong verbal and written communication skills.
• Write and optimize complex SQL queries (Hive/PySpark-dataframes) and manage data pipelines.
• Work with NoSQL databases and leverage experience in Big Data ecosystems including Map-Reduce, Hive, Spark (core, SQL, and PySpark), and UNIX shell scripting.
• Utilize GitHub for version control and CI/CD pipelines for automated deployment.
• Navigate AI/ML governance and compliance requirements in regulated industries, if applicable.

Required Skills

• Hands-on experience in building and deploying AI/ML models, including Generative AI, LangChain, and NLP.
• In-depth knowledge of machine learning algorithms, software architecture, and related libraries and frameworks.
• Proficiency in Python programming for software development; Java is a plus.
• Skillful in creating and maintaining detailed documentation, including data dictionaries, model documentation, and code documentation.
• Experience integrating AI/ML into existing applications for batch and real-time processing.
• Effective verbal and written communication skills for collaboration within and outside the team.
• Hands-on experience with complex SQL (Hive/PySpark-dataframes) and optimizing data pipelines.
• Experience with NoSQL databases is a plus.
• Experience in the Big Data ecosystem, including Map-Reduce, Hive, Spark (core, SQL, and PySpark), and UNIX shell scripting.
• Familiarity with GitHub and CI/CD pipelines.

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