Software Engineer - Machine Learning/Artificial Intelligence (3-8 yrs)

Job Responsibilities :

- Design, develop, and launch strategic machine learning solutions, driving business-wide innovation utilizing AI and analytical techniques at scale.

- Take full ownership of the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, engage in technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation.

- Craft high-performance, production-ready machine learning code for our next-generation real-time ML platform. Extend existing ML libraries and frameworks.

- Working closely with other engineers and scientists, develop solutions to accelerate model development, validation and experimentation cycles, and integrate models and algorithms in production systems at a very large scale.

- Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements.

Basic Qualifications :

- Degree in mathematics/computer science or related discipline.

- 3+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.

- 3+ years of experience in programming, with proficiency in at least one programming language, preferably Python or Java.

- Experience developing large-scale distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).

Preferred Qualifications :

- MS or PhD in Computer Science or equivalent experience in ML.

- Experience working with distributed data and ML technologies (e.g. MapReduce, Spark, Flink, Kafka, PySpark, SageMaker etc.).

- Experience dealing with real world large-scale datasets.

- Prior experience delivering end-to-end ML solutions, including data preparation, training, fine-tuning and deployment or large models.