Machine Learning Engineer

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

Job summary

SAIKOR SECURITY TRAINING AND SERVICES PRIVATE LIMITED is seeking a talented Machine Learning Engineer to lead the development and deployment of next-generation ML products. You will design sophisticated models, refine existing systems, and push AI capabilities through rigorous experimentation and data-driven insights.

The ideal candidate will have a strong statistical background, deep knowledge of data science, and solid software engineering practices, enabling creation of self-learning

Qualifications

• Strong foundation in statistics and ML algorithms.
• Proficient in Python or similar programming languages.
• Experience translating data into actionable insights.

Responsibilities

• Study and transform data science prototypes.
• Design machine learning systems.
• Research and implement ML algorithms and tools.
• Develop ML applications per requirements.
• Select datasets and representations.
• Run ML tests and experiments.
• Perform statistical analysis and fine-tuning.
• Train and retrain models as needed.
• Extend ML libraries and frameworks.
• Stay updated with field developments.

Skills

Machine Learning

Statistics

Programming

Data Science

Education

Bachelor's degree in CS/EE/Math

Tools

TensorFlow

PyTorch

Scikit-Learn

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