This role is all about hands-on technical prowess, and we expect you to bring your A-game. You will be working with autonomy, accountability, and technical brilliance. Your mission includes:
· Spotting high-value AI/ML opportunities to improve our product offerings.
· Serving as our AI/ML technology whisperer, guiding us towards the latest and greatest AI infrastructure and delivery trends. You will be a guru behind our productization estimates and AI delivery platform.
· Crafting and integrating AI projects from the ground up. Taking proofs of concept to the grand finale of implementation and deployment. You'll ensure scalability and top-tier performance.
· Locking arms with Data Engineers, Data Scientists, Software Engineers, Solution Architects, and Product/Program Managers. Collectively, you'll define, create, deploy, monitor, and document ML models that are both tailored and industry leading
. Becoming an AI/ML technology evangelist. Get ready to shine on the conference stage, host webinars, and pen compelling white papers and blogs. Share your discoveries with clients and internal stakeholders, offering actionable insights that drive change.
· A solid 5+ years of machine learning (ML) expertise, backed by proven ability with successfully completed projects.
· Expertise bringing incubated AI/ML solutions to production, including scoping, design, development, testing, deployment, and vigilant monitoring.
· Expertise in Python, C# and the tools and libraries that make ML magic happen like Semantic Kernel, Langchain, Keras, TensorFlow, Pytorch, etc.
· Knowledge in how to create and deliver Cloud ML solutions at scale using Docker, Kubernetes and Cloud services.
· Familiarity with ML experiment tracking and collaboration tools, such as Mlflow and Weights & Biases.
· Exposure to model deployment and serving tools like Seldon Core, KServe, etc.
· Expertise monitoring models and evaluating metrics to drive optimizations using tools like Elastic stack, Prometheus, Alibi detect, etc.
· Skills in data handling and feature engineering and the ability to use big data technology when appropriate e.g., Spark, Dask, Polars, etc.
· A solid background in software engineering, DevOps and MLOps practices, and familiarity with tools to manage infrastructure as code, like Terraform and package managers like Helm Charts.
· Scripting (shell) expertise to automate tests and procedures to ensure reliability and validity of code repositories.
· Proficiency with pipeline orchestration tools, such as Airflow, Kubeflow, and Argo Workflows.
· Outstanding communication skills, ability to convey complex technical concepts to non-technical stakeholders and work with cross-functional teams.
· A results-driven attitude, a passion for innovation, and a self-starting, proactive nature. You're organized, capable of juggling multiple tasks, and your creativity knows no bounds. You're a strategic thinker, always on the hunt for the next big thing.
Interviews and selections are made continuously. If you are interested, apply as soon as possible.
As a step in our recruitment process, all final candidates will undergo a background check, to get us an understanding of our future employees.
We respectfully decline all offers of recruitment and/or advertising assistance.
