XenonStack Recruitment 2023 – XenonStack has planned to recruit individuals for the position of Associate ML Engineer – GET. This opportunity is open to B.E/B.Tech/M.E/M.Tech/B.Sc/M.Sc/BCA/MCA graduates. The comprehensive eligibility criteria and details regarding the application process are outlined below.
XenonStack Recruitment 2023 Details
|Job Role||Associate ML Engineer- GET|
|Experience||0 – 1 Year|
|Salary||Best in Industry|
- Technical Graduates (BCA, B.Sc, B.Tech), MCA, M.Sc, and M.Tech with a strong foundation in data structures and algorithms.
- 0-1 years of experience (Interns with 2-3 impactful internship experiences are welcome).
- Proficiency in Machine Learning concepts and practices, or similar roles.
- Familiarity with AWS or Azure cloud platforms.
- Understanding of data structures, data modeling, and software architecture.
- In-depth knowledge of mathematics, probability, statistics, and algorithms.
- Ability to write robust code in programming languages like Python, Java, and R.
- Familiarity with machine learning frameworks (e.g., Keras, PyTorch) and libraries (e.g., scikit-learn).
- Excellent communication skills, both written and verbal.
- Strong attention to detail in tasks.
- Possess analytical thinking and problem-solving aptitude.
- Strong organizational skills to manage tasks efficiently.
- Ability to think visually to solve complex problems.
- Study and transform data science prototypes into practical solutions.
- Design effective machine learning systems.
- Research and implement suitable machine learning algorithms and tools.
- Develop applications based on machine learning concepts to meet requirements.
- Select relevant datasets and determine appropriate data representation methods.
- Conduct machine learning tests and experiments to validate models.
How to Apply for XenonStack Recruitment 2023:
All interested and eligible candidates can apply for the Associate ML Engineer- GET position by following the online application link provided. If you are a technical graduate with a strong foundation in data structures and algorithms, and if you have experience or internships that have honed your skills, this could be a valuable opportunity for you. Demonstrating proficiency in machine learning concepts, cloud platforms, and programming languages, along with strong communication, analytical, and organizational skills, will be advantageous in this role.
This role offers a chance to work on transforming data science prototypes into real-world solutions, designing machine learning systems, and contributing to the implementation of machine learning algorithms. Running tests and experiments to validate models, selecting appropriate datasets, and developing applications are key responsibilities of the role. By following the provided application link, eligible candidates can apply and potentially join XenonStack’s team of professionals in the exciting field of machine learning engineering.