Artificial Intelligence Researcher - Surat, India - Logicwind

Logicwind

Verified Company

Surat, India

3 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

**Job Title:

AI Researcher****Experience:

- ** 2 to 3 years

**Job Overview:
- **We are looking for a highly capable AI/ML engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) and deep learning (DL) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To ensure success as an AI/ML engineer, you should demonstrate solid data science knowledge and experience in a related ML/DL field.

A first-class AI/ML engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

**Responsibilities:
- *

Consulting with managers to determine and refine project objectives.
Designing machine learning systems and selfrunning artificial intelligence (AI) software to automate predictive models.
Designing and developing algorithms using machine learning and deep learning approaches.
Optimizing models for accuracy and speed.
Ensuring that algorithms generate accurate user recommendations.
Turning unstructured data into useful information by autotagging images and texttospeech conversions.
Solving complex problems with multilayered data sets, as well as optimizing existing python libraries and frameworks.
Running tests, performing statistical analysis, and interpreting test results.
Collaborating with crossfunctional teams, such as software engineers, data scientists, and product managers.
Documenting project solution

**Desired skills:
- *

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/deep learning engineer.
Advanced proficiency with Python, Java, and R code writing.
Extensive knowledge of ML/DL frameworks, libraries, data structures, data modeling, and software architecture.
Indepth knowledge of mathematics, statistics, and algorithms.
Superb analytical and problemsolving abilities.
Great communication and collaboration skills.
Excellent time management and organizational abilities.