We are seeking a highly skilled and motivated Senior AI Engineer. In this role, you will be at the forefront of AI and machine learning innovation, working on projects that have a real impact on our clients' businesses. You will design, develop, and deploy state-of-the-art AI models, ensuring they are seamlessly integrated into production environments. Your work will directly contribute to enhancing our capabilities in HR, Payroll, and other domains, positioning us as a leader in AI-driven solutions.

Responsibilities:

Design, develop, and implement advanced machine learning and deep learning models to tackle diverse challenges and enhance AI functionalities for our clients.
Train, validate, and fine-tune AI models using the latest techniques and libraries, assessing their performance through appropriate metrics.
Deploy AI models into production environments, collaborating with DevOps and IT teams for seamless integration, and continuously monitor their performance in real-time.
Stay current with the latest advancements in AI and financial technology, applying innovative solutions to solve complex problems in HR and Payroll.
Lead the creation of data analytics capabilities, identifying key performance drivers and developing action plans to enhance performance and competitiveness.
Collaborate with cross-functional teams, including data scientists, software developers, and business analysts, to drive AI initiatives and projects to successful completion.
Maintain comprehensive documentation of AI models, data pipelines, and processes for future reference and compliance.
Oversee AI model delivery to on-prem infrastructure and cloud platforms (e.g., GCP-Vertex AI, Azure ML), ensuring optimal performance and scalability.
Build and deploy automation capabilities for ML and LLM model deployment across enterprise on-prem and cloud platforms.
Standardize data pipeline deployment processes to facilitate model consumption by multiple Lines of Business (LOBs).
Drive end-to-end AI use case delivery by collaborating with data scientists, data engineers, and LOB technology teams using standardized platform processes.

Qualifications:

Bachelor’s Degree in Computer Science, Data Science, Engineering, or a related field (Required).
Minimum of 5 years of experience in developing and deploying machine learning and deep learning models, ideally within the financial or fintech sector.
5 years of experience in developing software solutions, with a strong understanding of software engineering best practices.
At least 3 years of experience working with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
3 years of experience in data preprocessing, feature engineering, and model evaluation techniques.
Experience with LLM tuning and tools like LangChain is highly advantageous.

About us

Donivia Overseas is part of Donivia Group which caters immigration, manpower, apparel, Logistics, textiles, business consulting, digital marketing and education. Our branches or subsidiaries are located at Saudi Arabia, UAE, US and UK along with head office in India. Donivia Overseas specialize in end-to-end facilitation of global mobility for skilled workers, bridging talent with opportunity. We do exhaustive personal and professional background assessments and document verification. As a leading recruitment firm, we are actively sourcing top talent for a reputable partner based in the United States.

Donivia Overseas

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