Golang Job: AI-ML, Software Engineer

Come join a team of industry and science leaders to achieve a vision of empowering innovation through state-of-the-art artificial intelligence leveraging multiple cloud technologies. We are addressing exciting challenges for our customers, at the intersection of AI/ML and cutting-edge cloud infrastructure.

We are looking for candidates who are adept in AI/ML and software engineering capabilities.

What You Would Do:

• Design, architect and implement the backend solutions in order to scale keeping in mind the performance and infrastructure costs associated with an AI system.

• Demonstrate high competency in understanding the requirements of an AI-powered solution and structuring the development and releases of the software system.

• Endorse the latest data science and engineering practices within our organization to ensure scalability of our systems and mobility of development.

• Collaborate with the data science, engineering, and company leadership, helping to set the strategy and standards for data science, engineering, and advanced analytics.

• Develop and adopt low-latency and scalable software that leverage AI models.

• Conceive and prototype innovative AI products and solutions to enable our current and potential customers to adopt aiXplain’s platform.

• Innovate, design, develop, test, deploy, maintain, and enhance software solutions along with managing project priorities, deadlines, and deliverables.

• Attend all team meetings required by management

• Uphold company principles, given the global nature of the business

• Work flexible hours as requested by team

• Use team selected tools (ex. Jira & others) to effectively manage work

• Quality control and test your work and assist in checking others

Your Qualifications are:

• Entrepreneurial: dealing with ambiguity and working in a highly collaborative tech-startup environment while maintaining a customer-centric approach.

• 2+ years working experience building scalable backend software handling high requests per second concurrency.

• Experience using Kubernetes platform infrastructure stacks (like KNative, Istio) or defining your own custom resources as required by need.

• BSc in Computer/Software Engineering, Science, or similar technical field.

• Experience in designing, building, and deploying end-to-end ML pipelines using DL frameworks like PyTorch and TensorFlow 2.0.

• Good knowledge of Javascript, Python and experience with at least one MVC framework (e.g. Django) and one statically typed language like GoLang.

• Experience in training and serving ML models using both deep learning frameworks (PyTorch, TensorFlow) and statistical models (scikitlearn, XGBoost).

• Experience in MLOps, AutoML, and Big-Data Platforms such as Kubeflow, MLflow, Spark, Kubernetes, Docker.

• Experienced with SQL/NoSQL databases and Big-Data platforms (PostGreSQL, MongoDB, Redis, Cassandra, Spark etc).

• Experience working with Cloud infrastructure environments (AWS, Azure, GCP).

Desired Skills:

• 3+ years of experience in software development, machine learning engineering and backend engineering.

• Kaggle Achievements and/or Open-Source Project Contributions.

• Delivered talks for machine learning software in tech conferences, preferably applications involving AI/ML.

• Excellence in Deep Learning Frameworks: PyTorch, TensorFlow 2.0.

• Experience in Unsupervised, Semi-Supervised & Active Learning.

• Experience in Hyperparameter Optimization Methods & Frameworks.

• Experience in Neural Architecture Search, and Model Compression / Distillation frameworks.