Key Responsibilities:

• Develop, train, and deploy AI and machine learning models to address complex challenges.
• Integrate AI platforms and tools including ChatGPT, Grok, and other AI-related software into existing and new applications.
• Collaborate with cross-functional teams including data scientists, engineers, and product managers to deliver AI-powered solutions.
• Analyze large datasets to improve model performance and accuracy.
• Optimize AI systems for scalability, reliability, and efficiency.
• Stay current with the latest AI technologies and trends, especially in language models, multimodal AI, and integration frameworks.
• Document AI architectures, workflows, and integration processes for clarity and compliance.
• Troubleshoot, debug, and maintain AI applications and their integrations.

Programming & Tools Expertise:

• Programming Languages: Python (primary), Java, or similar.
• Language Models & Frameworks: Familiarity with LLaMA-based models (WizardLM, Vicuna), Mistral/Mixtral, and Phi models. Experience using ChatGPT and similar advanced LLMs.
• Inference & Serving: Knowledge of HuggingFace Transformers, vLLM, FastAPI, Flask for scalable AI inference and deployment.
• Retrieval-Augmented Generation (RAG): Experience with LangChain or LlamaIndex and vector databases like ChromaDB or FAISS.
• Multimodal & Generation: Exposure to Stable Diffusion for image generation, Whisper for speech-to-text, and video pipelines like AnimateDiff or Deforum.
• Optimization: Quantization techniques (4-bit, 8-bit), mixed precision (FP16/BF16), and batch inference optimizations.
• Deployment & Infrastructure: Proficient in containerization with Docker, GPU monitoring (e.g., nvidia-smi), and cloud AI services (AWS, Azure, GCP).

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Proven experience in AI development, with hands-on knowledge of integrating AI software such as ChatGPT, Grok, or similar platforms.
• Strong programming skills in Python, Java, or similar languages.
• Experience with machine learning frameworks and NLP libraries (e.g., TensorFlow, PyTorch, Hugging Face).
• Solid understanding of APIs and software integration techniques.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI services.
• Excellent problem-solving skills and ability to work independently or in collaborative teams.
• Strong communication skills to convey technical concepts to diverse stakeholders.

Preferred Qualifications:

• Experience in natural language processing (NLP), conversational AI, or chatbot development.
• Knowledge of big data tools and data pipeline engineering.
• Understanding of AI ethics, bias mitigation, and responsible AI practices.

Why apply for this position?

• Competitive salary package and excellent benefits
• Real work-life balance
• Temporary Work From Home arrangement
• Weekends off
• No work during holidays
• Great working environment and synergy