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Rozee is seeking a highly skilled Senior AI / ML Engineer with over five years of experience to join our innovative team. This role involves designing, implementing, and optimizing end-to-end machine learning solutions that empower our organization to leverage large-scale datasets for strategic decision-making. The ideal candidate will exhibit strong programming skills in Python and a solid foundation in data analysis, artificial intelligence (AI), and machine learning (ML). This position offers a unique opportunity for an engineer to work within a dynamic environment while contributing to the creation of cutting-edge AI-driven solutions, transforming complex data into actionable insights. You will work closely with various departments to identify and enhance analytics capabilities within the business, ensuring the effective handling and processing of data while adhering to security and compliance standards. As a Senior AI / ML Engineer, you will play a key role in shaping our company's AI initiatives, utilizing advanced technologies and frameworks to deliver exceptional value to our clients and stakeholders.

Responsibilities:

1. Design and implement comprehensive machine learning solutions for processing and analyzing large datasets efficiently.
2. Construct robust data pipelines that facilitate the high-volume ingestion, transformation, and storage of data, ensuring seamless data flow throughout the organization.
3. Develop advanced reporting systems and interactive dashboards powered by AI, delivering actionable insights that drive business decisions.
4. Create, deploy, and fine-tune custom AI/ML models tailored specifically to meet the requirements of our business, including large language models and generative AI solutions.
5. Utilize advanced frameworks such as LangChain, LlamaIndex, and Hugging Face to implement and optimize large language models effectively.
6. Establish systems to automate data-driven decision-making processes by leveraging predictive analytics and recommendation engines to bolster business intelligence.
7. Monitor, troubleshoot, and optimize AI/ML models operating within production environments to ensure high performance and reliability.
8. Collaborate closely with cross-functional teams to explore and identify opportunities for enhancing our analytics and reporting capabilities through AI techniques.
9. Ensure scalability, security, and reliability in the management and processing of vast datasets across the organization.
10. Maintain comprehensive documentation of all data workflows, AI systems, and reporting instruments to ensure transparency and facilitate knowledge sharing across teams.
11. Stay abreast of industry trends and emerging technologies in AI/ML, applying best practices to continuously elevate the organizations capabilities.

Skills:

Python, Data Analysis, AIML,