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Machine Learning Lead
4 tygodni temu
Job Description
As a Machine Learning Developer you will be responsible for leading a Team of Prompt Engineers and Prompt Architect together with designing, building, and implementing ML/AI models, tools and algorithms usage. In addition to your technical expertise, you will be managing a team, ensuring effective communication, and providing guidance to deliver high-quality solutions to serve business needs. You will work closely with various stakeholders, including data engineers, AI Program Lead, and data analysts, to develop cutting-edge applications that drive business success and innovation.
Key Responsibilities:
Lead a team of Prompt Engineers and Prompt Architect, providing mentorship, guidance, and support to ensure high-quality work and timely delivery of projects. Design, develop, and implement AI based solution to solve business problems and drive efficiency. Taking ownership of AI roadmap creation and delivery. Manage project timelines and resources, ensuring efficient use of team and budget. Oversee the full development life cycle of proposed products, from ideation to deployment, ensuring all milestones are met and quality standards are maintained. Collaborate with cross-functional teams, including data engineers, and business analysts, AI Lead to gather requirements and develop scalable solutions. Conduct research on emerging ML/AI technologies, techniques and 3rd party resources and recommend improvements to existing systems. Communicate project updates and progress to stakeholders, both technical and non-technical. Continuously improve teams processes and workflows to optimize efficiency and effectiveness by searching for automatization based on available tools and technology.Qualifications
Understanding of machine learning and artificial intelligence concepts and their applications in business. Proficiency in Python programming language together with usage of ML/AI/NLP libraries such as TensorFlow, PyTorch, openai, LangChain, keyBert, etc. Familiarity with data manipulation and analysis tools, such as pandas, NumPy, and SQL. Experience with cloud platforms, such as AWS, GCP, or Azure together with their machine learning services and data pipelines services. Understanding of data visualization tools, such as Power BI.-
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