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About Company :
HARMAN designs and engineers connected products and solutions for automakers, consumers, and enterprises worldwide, including connected car systems, audio and visual products, enterprise automation solutions; and services supporting the Internet of Things.
🎯TCS NQT 2025 Pattern Research🎯
With leading brands including AKG®, Harman Kardon®, Infinity®, JBL®, Lexicon®, Mark Levinson® and Revel®, HARMAN is admired by audiophiles, musicians and the entertainment venues where they perform around the world.
Job Description :
To automate predictive models for chatbots, virtual assistants, translation apps, suggested searches, and driverless cars, machine learning engineers create self-running AI software. They create machine learning systems, use algorithms to produce precise forecasts, and fix issues with data sets.
🎯Cognizant Superset Hiring for Engineer Trainee(2024 batch)🎯
To optimize our machine learning systems, we are seeking a highly skilled machine learning engineer. You will be assessing current machine learning (ML) procedures, resolving issues with data sets through statistical analysis, and improving the precision of our AI software’s predictive automation features.
Role & Responsibility :
- Consulting with managers to determine and refine machine learning objectives.
- 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 into useful information by auto-tagging images and text-to-speech conversions.
- Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- Developing ML algorithms to analyze huge volumes of historical data to make predictions.
- Running tests, performing statistical analysis, and interpreting test results.
- Documenting machine learning processes.
- Keeping abreast of developments in machine learning.
Skills required
- 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.
- Advanced proficiency with Python, Java, and R code writing.
- Extensive knowledge of ML frameworks, libraries, data structures, data modeling, 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.
