Work with a team of external engineers and data scientists to build our internal engineering capabilities.
Build and lead a high-performing technical team, fostering a culture of collaboration, innovation, and continuous improvement. Recruit, mentor, and develop top talent.
Drive technical excellence through continuous improvement initiatives, adoption of best practices, and staying ahead of the technology curve.

Strategic Leadership:

Provide strategic direction for the technical operations and R&D functions, aligning it with the company’s overall goals and objectives. Develop and execute a clear technology roadmap that drives innovation and product excellence.
Define and direct the engineering strategy in alignment with the company’s business goals, focusing on innovation, scalability, and timely delivery of products.
Manage software development lifecycle, ensuring that design, testing, and maintenance are meeting quality standards.
Define and track key performance indicators (KPIs) to measure the effectiveness and impact of the technology operations and R&D department’s efforts.

Vendor Management:

Oversee resource allocation and budget management to optimize costs and efficiency.
Work with vendor partners in a collaborative and consultative manner for augmentation of technical research and development efforts.

Technologies:

Proficiency in Python (FastAPI, concurrency), Scala, or similar; familiarity with Node.js is a plus.
Experience with Hadoop, Spark, Kafka, and other big data frameworks.
Proficiency with TensorFlow, PyTorch, Scikit-learn, and other ML libraries and frameworks.
Extensive experience with AWS, Azure, Google Cloud, or similar.
Knowledge of SQL and NoSQL databases such as PostgreSQL, MongoDB, etc.
Experience with Docker, Kubernetes, CI/CD pipelines, and monitoring tools like PrometheKus and Grafana.
Experience with RESTful APIs, microservices architectures, and both front-end and back-end development frameworks.

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