AI Developer

Job Description

Position Overview:

• We're seeking a problem-solving AI Developer with 3–5 years of hands-on experience in building and deploying deep learning models, including RAG systems and LLM fine-tuning.You'll work on cutting-edge projects, contribute to open-source initiatives, and solve complex AI challenges.

Must-Have Qualifications:

• 3–5 years of professional experience in AI/ML development.
• Expertise in Python and frameworks like TensorFlow/PyTorch.
• Proven experience with neural networks (CNNs, RNNs, Transformers) and building RAG systems.
• Hands-on experience in fine-tuning LLMs (e.g., GPT, Llama, Mistral) for domain-specific tasks.
• Strong portfolio of open-source contributions (GitHub, Kaggle, etc.).
• Ability to debug, optimize, and deploy models in production environments.
• Critical thinker with a track record of research-driven problem-solving.

Key Responsibilities:

• Design and implement scalable deep learning models, including RAG architectures and LLM-based solutions.
• Fine-tune and optimize LLMs for specific use cases (e.g., text generation, summarization).
• Collaborate on open-source projects and research initiatives.
• Optimize model performance for latency, accuracy, and scalability.

Nice-to-Have:

• Experience with diffusion models or reinforcement learning.
• Publications in top AI conferences (NeurIPS, ICML, CVPR).
• Familiarity with MLOps tools (MLflow, Kubeflow) and vector databases (Pinecone, FAISS). Knowledge of cloud platforms (AWS/GCP/Azure).