Gapblue - Python Engineer - Machine Learning/Artificial Intelligence (4-8 yrs)

Job Description :

We are seeking an experienced Python Developer with a strong background in AI and machine learning technologies.

This role is designed for professionals looking to advance their career towards a Solution Architect specialization in AI technologies, offering a strategic pathway to technical leadership.

Main responsibilities :

- Design, develop, and deploy AI and ML models to solve complex business problems.

- This is to ensure that the application of machine learning techniques is effective.

- Implement and optimize machine learning algorithms across different use cases.

- This ensures scalability and high performance.

- Work with creative AI models, customizing and adapting them as needed by the project.

- Using the latest advances in this field

- Stay up to date on the latest advancements in Generative AI (e. GPT, DALL-E) and apply them to related projects to improve model capabilities.

- Develop efficient, scalable code in Python while following best coding practices for high quality delivery.

- Build and train custom neural networks using PyTorch, leveraging dynamic computation graphs.

- Flexibility for research and experimentation

- Perform data pre-processing, cleaning, and transformation.

- This is to ensure the quality and integrity of the data used for the machine learning models.

- Evaluate model performance using appropriate metrics and techniques.

- Continuously iterate to improve the accuracy and performance of the model.

- Work with cross-functional teams This includes product managers, designers, and other technical teams.

- To understand project requirements and effectively deliver solutions.

- Communicate clearly with stakeholders by providing updates on project progress technical challenges and insights gained from the model.

Required Qualifications and Experience :

- Minimum Qualification: B.Tech in Computer Science/IT or MCA.

- 4 - 8 years of professional software development experience, with a focus on AI/ML and Python development.

- Comprehensive understanding of the software development lifecycle, particularly in Agile methodologies.

- Strong proficiency in Python, with experience using libraries such as Pandas, NumPy, and Scikit-learn for data analysis and manipulation.

- Expertise in machine learning frameworks like TensorFlow and PyTorch for developing scalable AI models.

- Hands-on experience with Generative AI technologies such as GPT and DALL-E for model generation and fine-tuning.

- Knowledge of Natural Language Processing (NLP) techniques and frameworks for text analysis and processing.

- Experience with computer vision techniques for tasks like image recognition and object detection.

- Familiarity with cloud platforms such as AWS, Azure, or GCP for model deployment and management.

- Expertise in RESTful API development for integrating machine learning models with external applications.

- Proficiency in containerization tools like Docker and Kubernetes for deploying AI/ML models in scalable environments.

- Experience with distributed computing frameworks for processing large-scale data efficiently.

- Familiarity with version control systems like Git for managing code and collaboration