Gen AI Developer

Qualifications

• The ideal candidate will have expertise in Large Language Models (LLMs), deep learning, and NLP, along with hands-on experience in deploying AI solutions at scale

• Education: Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field

• 7+ years of experience in AI/ML development

• Hands-on experience with Gen AI models and LLMs

• Proficiency in Python, TensorFlow, PyTorch, Hugging Face Transformers

• Experience with NLP, computer vision, and reinforcement learning

• Familiarity with LangChain, OpenAI APIs, and fine-tuning LLMs

• Knowledge of MLOps, cloud deployment (AWS Sagemaker, Vertex AI, Azure ML)

• Experience with APIs, RESTful services, and microservices architecture

Responsibilities

• You will work closely with data scientists, ML engineers, and software developers to create innovative AI-powered applications

• Develop, fine-tune, and deploy Generative AI models (e.g., GPT, BERT, Stable Diffusion, DALL·E)

• Implement and optimize large-scale deep learning models for various AI applications

• Preprocess and curate datasets for AI model training

• Utilize vector databases (e.g., FAISS, Pinecone, Weaviate) for efficient retrieval-augmented generation (RAG)

• Integrate Gen AI models into web and mobile applications via APIs

• Develop AI-driven chatbots, content generation tools, and recommendation systems

• Deploy AI models using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure)

• Optimize model efficiency, inference speed, and cost-effectiveness

• Research and implement cutting-edge advancements in transformer architectures, multimodal AI, and diffusion models

• Work closely with cross-functional teams, including data scientists, engineers, and product managers

• Maintain detailed documentation of AI models, APIs, and workflows

Full Description

We are seeking a Generative AI Developer to design, develop, and optimize AI-driven applications leveraging state-of-the-art machine learning models.

The ideal candidate will have expertise in Large Language Models (LLMs), deep learning, and NLP, along with hands-on experience in deploying AI solutions at scale.

You will work closely with data scientists, ML engineers, and software developers to create innovative AI-powered applications.

Key Responsibilities:

AI Model Development:

• Develop, fine-tune, and deploy Generative AI models (e.g., GPT, BERT, Stable Diffusion, DALL·E).

• Implement and optimize large-scale deep learning models for various AI applications.

Data Processing & Engineering:

• Preprocess and curate datasets for AI model training.

• Utilize vector databases (e.g., FAISS, Pinecone, Weaviate) for efficient retrieval-augmented generation (RAG).

Application Development & Deployment:

• Integrate Gen AI models into web and mobile applications via APIs.

• Develop AI-driven chatbots, content generation tools, and recommendation systems.

• Deploy AI models using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).

Performance Optimization & Research:

• Optimize model efficiency, inference speed, and cost-effectiveness.

• Research and implement cutting-edge advancements in transformer architectures, multimodal AI, and diffusion models.

Collaboration & Documentation:

• Work closely with cross-functional teams, including data scientists, engineers, and product managers.

• Maintain detailed documentation of AI models, APIs, and workflows.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.

• Experience:

• 7+ years of experience in AI/ML development.

• Hands-on experience with Gen AI models and LLMs.

Technical Skills:

• Proficiency in Python, TensorFlow, PyTorch, Hugging Face Transformers.

• Experience with NLP, computer vision, and reinforcement learning.

• Familiarity with LangChain, OpenAI APIs, and fine-tuning LLMs.

• Knowledge of MLOps, cloud deployment (AWS Sagemaker, Vertex AI, Azure ML).

• Experience with APIs, RESTful services, and microservices architecture.