Software Engineer- Machine Learning

Acquire, clean, and preprocess diverse datasets from various sources.

Develop and maintain data pipelines to ensure a continuous flow of high-quality data.

Design and implement machine learning models to solve complex business problems.

Conduct experiments, train models, and optimize algorithms for performance and accuracy.

Collaborate with cross-functional teams, including software engineers, domain experts, and business analysts, to understand requirements and deliver integrated solutions.

Create and maintain comprehensive documentation for code, algorithms, and models. Ensure that the knowledge is shared and accessible within the team.

Act on client feedback constructively to improve services and outcomes.

Continuously seek ways to enhance the overall customer experience.

Stay updated on the latest developments in machine learning, data science, and analytics.

Drive innovation by proposing and implementing new techniques and technologies.

Qualifications

Solid understanding of machine learning concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch).

Experience deploying machine learning models into production systems.

Experience in containerization and orchestration tools (e.g., Docker, Kubernetes).

Experience with cloud platforms (e.g., AWS, Azure, GCP).

Strong proficiency in programming languages such as Python or C++.

Strong software engineering skills with an emphasis on writing clean, modular, and maintainable code.

Familiarity with version control systems (e.g., Git) and collaborative development workflows.

Excellent problem-solving and critical-thinking skills.

Effective communication skills and ability to work in a collaborative team environment.