Wednesday is a global technology consultancy. We integrate technology strategy, engineering, and design to drive digital product innovation.
At our core, we are a group of makers - AI, ML, data & cloud engineers, application developers, product & projects managers, and designers. We care deeply about our work and think of it as a craft. We're an ambitious team and like to punch above our weight.
As an AI Lead, you will use modern data architecture, algorithms, and processes to help our customers meet key business objectives. In this role, you may create, review, and optimize algorithms and processes for our customers in the 0-1 and 1-n journey.
Core Responsibilities
- Architect: Choose the right tools, frameworks, and cloud services to meet business goals.
- Educate: Advise & educate customers on how to use different data engineering, AI/ML algorithms, strategies, and processes from the many options available.
- Build: Build a data pipeline that process, store, integrate and analyze large volumes of data in record time. Create visualizations and insights from the data in order to make informed and data-backed business decisions. Build or leverage AI/ML algorithms to solve business problems.
- Communicate: Proactively communicate with your team. Raise blockers, brainstorm solutions, and seek early feedback.
- Review: Participate in peer reviews to ensure quality deliverables.
- Tests & Automation: Write test suites and build automated CI & CD pipelines to deliver more releases and reduce manual effort. Created automated mechanisms to evaluate models with changing variable conditions
- Learn: Learn from the practices followed by other teams and evangelize your learnings.
- Showcase: Share your learnings on internal and customer projects via articles, case studies, books, and webinars.
- Experience with two or more Python frameworks or tools such as scikit-learn, TensorFlow, PyTorch, Keras, NLTK/SpaCy, or Hugging Face Transformers is required.
- Experience with MLOps using tools like MLFlow, Comet ML, Weights & Biases, or other equivalents.
- Real-world experience deploying, optimizing models, and measuring performance and ROI of these AI endeavors.
- Experience in Python or R.
- Resilience and flexibility in ambiguous situations.
- Ability to coach others if the need arises.
This job is already closed and no longer accepting applicants, sorry.
