Role Overview

We are seeking a Python Generative AI Developer with over 6 years of experience in building AI-driven applications. In this role, you will design, develop, and deploy advanced generative AI models and solutions. Collaborating with cross-functional teams, you will play a pivotal role in delivering impactful AI applications for diverse domains.

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Key Responsibilities

• Develop and deploy generative AI models using Python frameworks like TensorFlow, PyTorch, or JAX.

• Design robust APIs and pipelines for AI model deployment and integration into production systems.

• Optimize AI models for performance, scalability, and accuracy.

• Work on data preprocessing, feature engineering, and building large datasets for model training.

• Research and implement state-of-the-art generative AI techniques, such as GANs, VAEs, and transformers.

• Collaborate with data scientists, machine learning engineers, and product teams to define AI use cases and deliver solutions.

• Monitor deployed models to ensure reliability and optimize their performance in real-world scenarios.

• Lead code reviews, mentor junior developers, and establish best practices for AI development.

• Stay updated on advancements in AI, particularly generative AI, and incorporate new techniques into ongoing projects.

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Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.

• 3+ years of hands-on experience in Python programming, with a focus on AI/ML development.

• Expertise in building and fine-tuning generative AI models (e.g., GPT, DALL-E, Stable Diffusion).

• Strong understanding of machine learning concepts, including supervised, unsupervised, and reinforcement learning.

• Proficiency in frameworks like TensorFlow, PyTorch, or JAX.

• Experience with distributed computing and handling large-scale datasets.

• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).

• Knowledge of prompt engineering, fine-tuning, and deployment of LLMs.

• Hands-on experience with Python 3 and NoSQL databases (e.g., MongoDB, Cassandra).

• Expertise in generative AI frameworks like Langchain, LlamaIndex, or similar tools.

• Strong understanding of MLOps, including CI/CD pipelines for AI models.

• Excellent problem-solving, debugging, and analytical skills.

 

Preferred Qualifications

• Experience with large-scale NLP models and techniques like transfer learning and few-shot learning.

• Familiarity with ethical AI considerations and bias mitigation in AI models.

• Proficiency in database technologies (SQL, NoSQL) and data visualization tools.

• Hands-on experience with version control tools like Git and GitHub/GitLab.

• Experience in developing AI-based solutions for specific domains like healthcare, finance, or manufacturing.

What We Offer

• Competitive salary and performance-based bonuses.

• Opportunities for professional growth and learning.

• A collaborative and inclusive work culture.

• Access to cutting-edge tools and resources.

• End to End Product Development Experience.