This role is for one of the Weekdays clients
In this role you will spearhead the development of advanced machine learning models taking charge of impactful projects that leverage AI to drive innovation and realworld applications.
Key Responsibilities
- Model Development & Optimization: Lead the design development and deployment of machine learning models ensuring scalability efficiency and optimization for practical use.
- Leadership & Mentorship: Mentor and guide junior engineers and data scientists promoting a culture of innovation and continuous improvement within the team.
- CrossFunctional Collaboration: Partner closely with crossfunctional teams to align machine learning solutions with business objectives and deliver measurable results.
- Model Evaluation: Monitor and evaluate model performance consistently making datadriven enhancements as needed.
- Research & Development: Stay updated on the latest advancements in machine learning and AI contributing fresh ideas and cuttingedge techniques.
- Scalable Systems: Design and implement robust scalable machine learning systems that integrate smoothly into broader software architectures.
Qualifications
- Proven experience as a Machine Learning Engineer with a strong track record of leading projects or teams.
- Deep expertise in machine learning algorithms deep learning techniques and frameworks like TensorFlow or PyTorch.
- Proficient in programming languages particularly Python with experience in data processing libraries (e.g. Pandas NumPy).
- Demonstrated experience deploying and scaling machine learning models in production environments.
- Strong knowledge of cloud platforms (e.g. AWS GCP) and MLOps practices.
- Excellent problemsolving and leadership skills with the ability to work independently and collaboratively across teams.
aws,deep learning,model evaluation,ml,pandas,gcp,machine learning models,cloud platforms,machine learning,leadership,python,pytorch,mlops,tensorflow,numpy,cross-functional collaboration