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Artificial Intelligence/Machine Learning Engineer

3 months ago

gurugram, India Advatix Full time

A Machine Learning Engineer is responsible for designing and developing machine learning systems, implementing appropriate ML algorithms, conducting experiments, and staying updated with the latest developments in the field. They work with data to create models, perform statistical analysis, and train and retrain systems to optimize performance. Their goal is to build efficient self-learning applications and contribute to advancements in artificial intelligence.

Machine Learning Engineer responsibilities include :

- Designing and developing machine learning and deep learning systems

- Running machine learning tests and experiments

- Implementing appropriate ML algorithms

Job brief :

We are actively searching for a talented and experienced Machine Learning (ML) Engineer to join our team.

As a Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products.

Your responsibilities will involve designing and constructing sophisticated machine learning models, as well as refining and updating existing systems.

In order to thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles.

Your ultimate objective will be to create highly efficient self-learning applications that can adapt and evolve over time, pushing the boundaries of AI technology. Join us and be at the forefront of innovation in the field of machine learning.

Responsibilities :

- Study and transform data science prototypes

- Design machine learning systems

- Research and implement appropriate ML algorithms and tools

We help our customer grow. We Grow with them.

- Develop machine learning applications according to requirements

- Select appropriate datasets and data representation methods

- Run machine learning tests and experiments

- Perform statistical analysis and fine-tuning using test results

- Train and retrain systems when necessary

- Extend existing ML libraries and frameworks

Requirements and skills :

- Proven experience in statistical modelling and Deep Learning architectures like CNNs and RNNs.

- Experiences in big data technologies(e.g: Spark,Hadoop) and cloud platform(AWS,Google Cloud).

- Deep knowledge of math, probability, statistics and algorithms

- Proficient in Python

- Expertise in machine learning frameworks (TensorFlow and PyTorch) and libraries (like scikit-learn)

- Outstanding in analytical and Data manipulation using libraries such as Panda and Numby.

- Strong problem-solving abilities, adept at communicating complex technical details to non-technical stakeholders, and experienced in collaborative team environments.

- BSc in Computer Science, Mathematics or similar field; Master's degree is a plus.

- Excellent communication skills

- Ability to work in a team

(ref:hirist.tech)