Python Job: Python ML Developer

Job added on

Company

Calsoft Pvt Ltd
United States of America

Location

Remote Position
(From Everywhere/No Office Location)

Job type

Full-Time

Python Job Details

Strong proficiency in Python programming language

Extensive experience in SQL

Proficiency in data manipulation and analysis using Pandas and Numpy

Deep understanding and practical experience with machine learning frameworks such as Scikit Learn, Tensorflow, Keras, PyTorch, or equivalent

Ability to develop and deploy machine learning models

Experience in data preprocessing, feature engineering, and model evaluation

Familiarity with version control systems like Git

Excellent problem-solving skills and attention to detail

Strong communication and collaboration skills

Responsibilities:

Develop and implement machine learning algorithms and models using Python

Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions

Perform data analysis and exploration using SQL to derive insights and identify patterns

Preprocess and clean data to prepare it for machine learning models

Train, validate, and optimize machine learning models using appropriate techniques and frameworks

Evaluate model performance and make improvements as needed

Deploy machine learning models into production environments

Stay up-to-date with the latest advancements in machine learning and related technologies

Mentor junior team members and provide technical guidance as needed

Qualifications:

Bachelor s or Master s degree in Computer Science, Engineering, Mathematics, or a related field

Minimum of 10 years of experience in software development with a focus on machine learning

Strong proficiency in Python and SQL

Proven track record of developing and deploying machine learning models in production environments

Experience with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) is a plus

Publications or contributions to the machine learning community are desirable but not required