Jobs

AL/ML Engineer


Job details
  • HARMAN International
  • London
  • 8 months ago
Applications closed

HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.

Job Overview

As an AI/ML specialist, you will be assisting the team lead/architect in executing end to end AI/ML solutions for projects, including design and implementation. Consulting with managers/leads to determine, refine, and implement machine learning objectives.

Key Responsibilities

Designing machine learning systems and self-running artificial intelligence AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations. Turning unstructured data sets into useful information to be used in the AI/ML training. Solving complex problems with multi-layered data sets, as well as optimising existing machine learning libraries and frameworks. Developing ML algorithms to analyse big volumes of historical data to make predictions, using big-data techniques where appropriate. Running tests, performing statistical analysis, and interpreting and validating test results. Documenting and reviewing Key Design Decisions and processes, producing technical documentation. Keeping abreast of developments in machine learning technology. Work across a diverse range of key stakeholders to engage and support, and their associated priorities, including support and participating in the AI/ML VIAVI CoE. Able to work in fast-paced, high-demand and delivery-oriented environments and able to adapt approach and style to meet shifting priorities Evangelise best practices and solutions across VIAVI Wireless BU and identify new opportunities on standardising product capabilities through AI/ML solutions Work with the rest of the R&D data engineers and software engineers conveying the design and implementation for the programmes and ensuring adherence to the technology principles and processes.

Your skills and qualifications will ideally include:

You should a self-motivated team player who is able to work independently and on your own initiative. Excellent organisational skills are required along with the ability to communicate confidently both written and verbally. You should be customer and quality driven, but pragmatic and commercially aware. Bachelor's degree in computer science, data science, mathematics, or a related field. Master’s degree in computational linguistics, data analytics, or similar will be advantageous. At least two years' experience as a machine learning engineer or a higher degree in AI/ML. Advanced proficiency with Python, Java, and R code writing. Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture. In-depth knowledge of mathematics, statistics, and algorithms. Superb analytical and problem-solving abilities. Great communication and collaboration skills. Excellent time management and organizational abilities.

HARMAN is an Equal Opportunity /Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race,color, religion, sex, sexual orientation, gender identity, national origin,disability or Protected Veterans status. HARMAN offers a great work environment, challenging career opportunities, professional training and competitive compensation. (

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