SCVS Data Science

Recruiter:

Staff Solutions Recruitment

Job Ref:

E.L000804/BG

Date posted:

Sunday, October 2, 2022

Location:

East london, South Africa

Salary:

Negotiable

SUMMARY:
Opportunity Available! Our leading client in the Automotive sector is looking to employ a SCVS Data Science to join their dynamic team in East London.

JOB DESCRIPTION:

Job Description:

Software development for cloud services and services at the edge. Development and extension of micro-services that facilitate the ease of use of machine learning models in a manufacturing environment. Support on model training and system configuration best practices

Outputs

Liaise directly with various company manufacturing plants worldwide to provide product and service support.
Manage and coordinate system upgrades/bug fixes and support with product testing.
Design and model solutions for customer innovation and experience.
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.
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
Roll out and analyse the effectiveness of initiatives that leverage multiplatform technologies

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.

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-to-end 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

Job Requirements:

Minimum NQF 7 – BSC/BCom/BTech in Information Technology or B. Eng. (Industrial Engineering) or relevant equivalent.
Minimum of 5 years’ experience in IT/Manufacturing
Demonstrated ability to foster an environment for ideation, prototyping and production
Demonstrated business acumen to take a design to implementation and have 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
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

NB! This job is now closed. You can apply for other jobs by uploading your CV.

SCVS Data Science

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