Senior Software Engineer I - ML Engineer - Logs Experiences - Remote

Overview

An overview paragraph about the job

In Short

• Identifying and validating opportunities for the application of ML or data-driven techniques
• Assessing requirements and approaches for large-scale data and ML platform components
• Driving technical delivery through the full feature lifecycle, from idea to production and operations
• Helping the team design and implement extremely high-volume, fault-tolerant, scalable backend systems that process and manage petabytes of customer data.
• Collaborating within and beyond the team to identify problems and deliver solutions
• Work as a member of a team, helping the team respond quickly and effectively to business needs.

Requirements

• B.Tech, M.Tech, or Ph.D. in Computer Science or related discipline
• 4+ years of industry experience with a proven track record of ownership and delivery
• Experience formulating use cases as ML problems and putting ML models into production
• Solid grounding in core ML concepts and basic statistics
• Experience with software engineering of production-grade services in cloud environments handling data at large scale

Benefits

• Cloud-based application and infrastructure deployment and management
• Common ML libraries (eg, scikit-learn, PyTorch) and components (eg, Airflow, MLFlow)
• Relevant cloud provider services (eg, AWS Sagemaker)
• LLM core concepts, libraries, and application design patterns
• Experience in multi-threaded programming and distributed systems
• Agile software development experience (test-driven development, iterative and incremental development) is a plus.