Machine Learning Engineer

SAIKOR SECURITY TRAINING AND SERVICES PRIVATE LIMITED; Delhi; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

SAIKOR SECURITY TRAINING AND SERVICES PRIVATE LIMITED in Delhi seeks a talented ML Engineer to drive development and implementation of AI products. You will design and refine machine learning models, apply statistics, and collaborate with software engineering teams to deploy self-learning systems.

Strong programming skills, data science fundamentals, and experience transforming prototypes into production systems are essential.

Qualifications

• Proficiency in statistics and programming required.
• Strong data science and software engineering fundamentals.

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

Job description

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
• 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