Direct Assessment 50+ Roles Biggest Mass Hiring All Batches Eligible Full Time NEW

Direct Assessment 50+ Roles Biggest Mass Hiring All Batches Eligible . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in  India India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below.

About Company :

Job Description :

50+ Junior/Entry level ML Engineer roles: Folks with 0-3 years of professional ML Engineer experience

The interview process will be pretty simple, quick and straightforward. There’ll be an assessment test following which you’ll get a detailed feedback within 24 hours.

If you get a scoring of 80% or higher you’ll be selected to go to the next round with the hiring manager (if they like your profile and answers) and following that will be the offer stage.

To optimize our machine learning systems, we are seeking a highly skilled machine learning engineer. You will be assessing current machine learning (ML) procedures, using statistical analysis to solve issues with data sets, and improving the predictive automation capabilities of our AI software.

In order to automate predictive models for suggested searches, chatbots, virtual assistants, translation applications, and autonomous vehicles, machine learning developers create self-running AI software. They handle data set issues, create machine learning systems, and use algorithms to produce precise forecasts.

Responsibilities:

• 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.

Machine Learning Engineer Requirements:

• 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.

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