Machine Learning Engineer

SAIKOR SECURITY TRAINING AND SERVICES PRIVATE LIMITED; Kolkata District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

SAIKOR SECURITY TRAINING AND SERVICES PRIVATE LIMITED is seeking an ML Engineer to lead the design and implementation of advanced machine learning models and AI products. The role focuses on building self-learning applications that adapt and evolve over time, leveraging statistics, data science, and software engineering principles.

You will study data science prototypes, design systems, research ML algorithms, and train models, ensuring robust experimentation and continuous improvement in a

Qualifications

• Experience in statistics and programming.

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