EKO INFOMATICS SOLUTIONS PVT LTD Looking for Machine Learning Expert (IT) at Bengaluru, Karnataka Full Time

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 looking for a Machine Learning (ML) Engineer to help us create artificial intelligence products.

Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you.

Your ultimate goal will be to shape and build efficient self-learning applications.

Responsibilities
Study and transform data science prototypes
Design machine learning systems
Research and implement appropriate ML algorithms and tools
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
Keep abreast of developments in the field
Requirements and skills
Proven experience as a Machine Learning Engineer or similar role
Understanding of data structures, data modeling and software architecture
Deep knowledge of math, probability, statistics and algorithms
Ability to write robust code in Python, Java and R
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Excellent communication skills
Ability to work in a team
Outstanding analytical and problem-solving skills
BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus

Job Type: Full-time

Salary: ₹20,000.00 – ₹35,000.00 per month

Schedule:

Experience:

• total work: 1 year (Preferred)
• Data Scientists & Statisticians: 1 year (Preferred)

Application Deadline: 30/04/2022