Machine Learning HashXpert

About HashXpert

Job Description

Key Responsibilities Stay abreast of work allocated to squads to understand improvement possibilities and/or sharing between chapter members, and challenges facing chapter members, continuously facilitate the knowledge reuse, and improve efficiencies of the process Partner with the Chapter Lead and Technical Lead on setting objectives for the Chapter Reinforcing of Agile & Scrum values and principles Responsible for ensuring Chapter norms and standards are understood within the squad Participate when required Inception workshops, to enable decomposition and planning Coach Junior and Mid Chapter Members in the capability discipline to be empowered and self-organised Thought leadership in the capability; Maintains connection with external industry developments for potential opportunities in capability development Capabilities and key skills Functional Leadership and behaviours 4+ years of experience delivering machine learning engineering and/or software engineering projects, demonstrating a strong understanding of the full ML development lifecycle. Proven experience in designing solution architectures for end-to-end machine learning applications. Experience in Technology delivery, waterfall and agile Solid foundation in machine learning principles and algorithms, with demonstrable experience in model selection, training, evaluation, and deployment. Experience building and deploying machine learning pipelines using tools like vertex AI, incorporating best practices for data preprocessing, feature engineering, model training, and performance monitoring. Proficiency in developing and maintaining custom Python packages for machine learning tasks, efficiently publishing them to package feeds, and designing modular and scalable systems. Strong back-end development skills, including API design and development, enabling seamless integration of machine learning models into applications. Extensive experience with big data cloud platforms (Azure, Google Cloud Platform, AWS), specifically Google Cloud Platform (Vertex AI, Composer, Cloud Run, GCS, BigQuery, etc.) Proficient in Python, DBT, Airflow, and SQL, demonstrating a comprehensive skillset for data manipulation, transformation, and analysis in the context of machine learning. Experience with DevOps practices and CI/CD pipelines, automating the build, testing, and deployment of machine learning models for continuous integration and delivery. Experience working with Personally Identifiable Information (PII) data, demonstrating a commitment to data privacy, security, and compliance with relevant regulations. Desired: Google Cloud Platform experience Experience working with ML on vertex AI pipelines Strong CICD knowledge Enthusiastic and positive leader with a self-directed and self-motivated attitude Comfortable with ambiguity Excellent communication and influencing skills Excellent collaboration skills Excellent analytical and problem solving skills with the ability to think quick and offer alternatives Able to work in a fast-paced environment Effective time management to prioritise workload Ability to work on multiple, concurrent tasks Lead continuous improvement Constantly challenge the status quo & be open to new technologies & ideas Ability to see the big picture Strong commercial experience Display passion for & responsibility to customer and partners Job Type: Full-time Work Location: Remote,