Python AI/ML Developer

Rectitude Consulting Services; Maharashtra; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Rectitude Consulting Services in Pune is seeking a Python AI/ML Developer to design, build, and deploy machine learning models and data pipelines. You will create RESTful APIs for model serving and collaborate with data scientists to shape innovative solutions.

The role requires 3+ years of Python experience with ML libraries and hands-on production deployment. You will work with cloud platforms, containers, and contribute to infrastructure and best practices.

Qualifications

• 3+ years of professional Python development experience with a focus on AI/ML.
• Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Experience building and deploying ML models in production environments.
• Knowledge of data pipelines and ETL concepts.
• Experience with cloud platforms (AWS, Azure, GCP) and containers.

Responsibilities

• Design, develop, and deploy ML models using Python and libraries (scikit-learn, TensorFlow, PyTorch).
• Build and maintain data pipelines for ingestion, preprocessing, and feature engineering.
• Develop and implement RESTful APIs for model serving and integration.
• Collaborate with data scientists to explore data and develop solutions.
• Deploy and monitor models in production with engineering teams.
• Optimize model performance for scalability and reliability.
• Contribute to AI/ML infrastructure and best practices.
• Stay updated with AI/ML advancements.
• Participate in code reviews and ensure code quality.
• Document code and models effectively.

Skills

Python

AI/ML libraries

Data pipelines

RESTful APIs

Cloud platforms

Docker

Kubernetes

NoSQL

ETL tools

Team collaboration

Education

Bachelor's/Master's in CS/ML

Tools

Airflow

Spark

MongoDB

Django

Flask

TensorFlow

PyTorch

Job description

• Design, develop, and deploy machine learning models using Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Build and maintain data pipelines for data ingestion, preprocessing, and feature engineering.
• Develop and implement RESTful APIs for model serving and integration with other systems.
• Collaborate with data scientists to explore data, identify patterns, and develop innovative solutions.
• Work closely with engineering teams to deploy and monitor models in production environments.
• Optimize model performance and ensure scalability and reliability.
• Contribute to the development of our AI/ML infrastructure and best practices.
• Stay up-to-date with the latest advancements in AI/ML research and technologies.
• Participate in code reviews and contribute to the overall quality of our codebase.
• Document code and models effectively.

Vacancy for Python AI/ML Developer

Job Summary

Short Profile :

pydev123

No. Of Vacancy

2

Location :

Pune

Category

Development

Position

Python Developer

Responsibilities

Job Description

• Design, develop, and deploy machine learning models using Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Build and maintain data pipelines for data ingestion, preprocessing, and feature engineering.
• Develop and implement RESTful APIs for model serving and integration with other systems.
• Collaborate with data scientists to explore data, identify patterns, and develop innovative solutions.
• Work closely with engineering teams to deploy and monitor models in production environments.
• Optimize model performance and ensure scalability and reliability.
• Contribute to the development of our AI/ML infrastructure and best practices.
• Stay up-to-date with the latest advancements in AI/ML research and technologies.
• Participate in code reviews and contribute to the overall quality of our codebase.
• Document code and models effectively.

Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.
• 3+ years of professional experience in Python development, with a focus on AI/ML.
• Strong proficiency in Python and relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Experience building and deploying machine learning models in production environments.
• Solid understanding of machine learning algorithms and techniques (e.g., regression, classification, clustering, deep learning).
• Experience with data pipeline development and ETL tools (e.g., Airflow, Spark).
• Knowledge of data warehousing concepts and technologies.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Experience building RESTful APIs using frameworks like Django or Flask.
• Familiarity with NoSQL databases (e.g., MongoDB).
• Excellent problem-solving and communication skills.
• Ability to work effectively in a team environment.