ML Engineer

Company Overview

Information regarding the company is currently not specified.

Job Summary

The ML Engineer will be responsible for developing, implementing, and optimizing machine learning models using various libraries and frameworks. The primary focus will be on leveraging algorithms such as stochastic gradient descent and model architectures including Adagrad, Adam, and RMSprop. This role is critical to advancing the organization's machine learning capabilities and driving data-driven decision-making.

Responsibilities

• Develop and implement machine learning models using libraries such as TensorFlow and Keras.
• Utilize Numpy and Pandas for data manipulation and analysis.
• Design experiments using algorithms like stochastic gradient descent to optimize model performance.
• Employ FastAPI to create and manage APIs for deploying machine learning models.
• Collaborate with cross-functional teams to define data requirements and machine learning objectives.
• Test and evaluate model performance, making necessary adjustments to algorithms and parameters.

Qualifications

• Proficiency in machine learning libraries such as TensorFlow and Keras.
• Strong experience with Numpy and Pandas for data processing and analysis.
• Familiarity with RESTful API development using FastAPI.
• Understanding of optimization algorithms and techniques, particularly Adagrad, Adam, and RMSprop.
• Ability to work with version control systems (Git).
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• A degree in Computer Science, Data Science, Mathematics, or a related field.

Preferred Skills

• Experience with deployment techniques and cloud services.
• Knowledge of additional programming languages such as Python or R.
• Familiarity with model versioning and monitoring tools.

Experience

• A minimum of 5 years of experience in machine learning or related fields.

Environment

This position is based in Bangalore, with the likelihood of a collaborative work environment designed to foster innovation and teamwork.

Salary

Salary details are currently not specified.

Growth Opportunities

Information regarding growth opportunities within the company is currently not specified.

Benefits

Details regarding benefits offered are currently not specified.