Lead Data Scientist (Computer Vision)

Job Requirements

 Demonstrated ability to foster an environment for ideation, prototyping and production  Demonstrated business acumen to take from design to implementation and preferably experience scaling a concept  Must have IT Development and Systems Knowledge  Experience with software development methodologies and practices (Agile, Scrum, etc.)  Experience in Data Analysis and Advanced Proficiency in Microsoft Office suite, including Word, Excel, and Outlook  Strong Leadership Behaviours with good People Management skills and Problem Solving Skills  Strong Interpersonal skills to manage relationships with a variety of partners and stakeholders  Must have an excellent ability to multi-task effectively working on several projects synchronously  Experience in rolling out initiatives that leverage multiplatform technologies  Willingness to travel nationally and internationally  Willingness to work a 3 shift model  Ability to perform the minimum required physical and mental requirements of the function.  Leadership behaviours as per LEAD

Qualifications

 Minimum NQF 7 – BSC/BCom/BTech in Information Technology or B. Eng. (Industrial Engineering) or relevant equivalent.

Experience

 Minimum of 5 years’ experience in IT/Manufacturing, or  At least 6 months participation on our MBSA Graduate Development Programme

Knowledge:

Operating System  Comfortable in Linux environments, specifically Debian-based, e.g. Ubuntu  Comfortable developing locally on a Windows machine using WSL2 Programming & Scripting Languages, Version Control, Software  Strong modern Python knowledge (3.8+); Bash scripting;React & Typescript knowledge beneficial  Working-level git proficiency  Understanding of object-oriented programming  Experience in Test Driven Software Development  Knowledge of software and business process modelling techniques and tools (e.g. UML)  Working proficiency of at least the following Python packages – Tensorflow, Keras, MLflow, numpy, asyncio, pytest, pydantic, fastapi, tox, opencv, Pillow, onnx. There are significantly more Python packages in use, but a working knowledge of these will provide the most upfront value. Automation  Knowledge of developing and maintaining CI/CD pipelines; container technologies such as Docker; automation in quality assurance, integration and deployment – e.g. developing end-toend tests that span across docker containers in a CI/CD quality gate in a virtualized environment Artificial Intelligence, Data and Cloud  Knowledge of artificial intelligence and machine learning techniques and algorithm libraries – specifically having a high degree of proficiency working with computer vision applications in the form of classification, object detection and semantic segmentation  Experience debugging and interpreting the outputs of machine learning models  Knowledge of labelling best practices to advise annotators when setting up new use cases; Databricks (or similar) for automated cluster management and the use of IPython notebooks for rapid prototyping; cloud design patterns (e.g. hybrid cloud); cloud computing, services and cloud platforms (e.g. Azure); Azure IoT hub & Azure Data Factory would be beneficial; big data technologies (e.g. Hadoop, Hive, Hbase, Spark) and data analytics would be beneficial; descriptive and predictive analytics; designing data warehouses and data lake; data modelling and storage with NoSQL and relational databases (e.g. CouchDB, PostgreSQL); fundamentals and management of databases.  Technical skills in database and SQL.
Architecture  Experience developing and maintaining APIs (e.g. REST); systems design, enterprise architecture and development; microservice architecture Hardware  Knowledge in technologies like servers, storage and virtualization; IT infrastructure design, deployment and management; high-availability concepts to build robust computing environments; network infrastructure (e.g. switches, routers, firewalls); computing and working with ARM64 devices; CUDA and TensorRT GPU technologies would be beneficial Working Model  Knowledge and application of agile project management methods (e.g. Scrum, Kanban) and tools (e.g. Azure DevOps); DevOps concepts and tools; innovative methods like design thinking. Security  Knowledge of commercial and open source security tools; computer and network security, authentication and security protocols; IT security architecture; penetration testing techniques and tools. Customer Support  Knowledge of help desk and support services; incident and problem management  Experience with incident systems, ticketing systems (e.g. CISM) and monitoring tools; in providing 24/7 on-call support for high-availability systems; customer relationship management.

Outputs

 Liaise directly with various Mercedes-Benz manufacturing plants worldwide to provide product and service support.  Manage and coordinate system upgrades/bug fixes and support with product testing.  Ensure to interpret business strategy and determine innovative solutions supporting strategy implementation.  Design and model solutions for customer innovation and experience.  Perform with innovation development groups to conduct insights as well as design outputs to their work.  Manage and evaluate innovation pipeline assisting strategic decision-making and Go-to-Market process.  Design, research, develop, analyse and suggest new concepts as well as strategies.  Lead and direct different cross-functional programs and projects of varied sizes and types concurrently.  Manage and attain customer expectations and ensure delivery to fulfil expectations.  Coordinate all cross-functional activities, represent customers internally and collaborate with leaders in varied areas on allocation across projects and resource planning.  Ensure to exercise decision-making and independent judgment while being aligned with customers and management.  Promote innovations to support business requirements through activities that test, pilot and implement innovative concepts  Manage ideas from design stage through implementation.  Roll out and analyse the effectiveness of initiatives that leverage multiplatform technologies  Initiate, develop and maintain a range of working relationships, within IT and from the business  Performing all outputs in compliance to the Company's Integrity Codes & S.H.E.Q requirements and to perform delegated S.H.E.Q. tasks and duties & to inform superior about deviations.

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