Generative AI Engineer

As a Python AI/ML Developer at our company, you will be a crucial part of the Innovations Team, focusing on cutting-edge AI/ML solutions that drive strategic transformation and operational efficiency. Your responsibilities will include designing, developing, and deploying scalable AI/ML solutions, building data pipelines, and integrating AI models into backend services using Python. Collaboration with cross-functional teams and staying current with advancements in AI/ML will also be key aspects of your role. Key Responsibilities: - Design, develop, and deploy scalable AI/ML solutions and prototypes. - Build data pipelines, clean datasets, and engineer features for training models. - Apply deep learning, NLP, and classical ML techniques. - Integrate AI models into backend services using Python (e.g., FastAPI, Flask). - Collaborate with cross-functional teams (e.g., UI/UX, DevOps, product managers). - Evaluate and experiment with emerging open-source models (e.g., LLaMA, Mistral, GPT). - Stay current with advancements in AI/ML and suggest opportunities for innovation. Required Skill Set: Technical Skills: - Programming Languages: Python (strong proficiency), experience with NumPy, Pandas, Scikit-learn. - AI/ML Frameworks: TensorFlow, PyTorch, HuggingFace Transformers, OpenCV (nice to have). - NLP & LLMs: Experience with language models, embeddings, fine-tuning, and vector search. - Prompt Engineering: Experience designing and optimizing prompts for LLMs (e.g., GPT, Claude, LLaMA) for various tasks such as summarization, Q&A, document extraction, and multi-agent orchestration. - Backend Development: FastAPI or Flask for model deployment and REST APIs. - Data Handling: Experience in data preprocessing, feature engineering, and handling large datasets. - Version Control: Git and GitHub. - Database Experience: SQL and NoSQL databases; vector DBs like FAISS, ChromaDB, or Qdrant preferred. Nice to Have (Optional): - Experience with Docker, Kubernetes, or cloud environments (Azure, AWS). - Familiarity with LangChain, LlamaIndex, or multi-agent frameworks (CrewAI, AutoGen). Soft Skills: - Strong problem-solving and analytical thinking. - Eagerness to experiment and explore new technologies. - Excellent communication and teamwork skills. - Ability to work independently in a fast-paced, dynamic environment. - Innovation mindset with a focus on rapid prototyping and proof-of-concepts. Educational Qualification: - Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. - Certifications in AI/ML or cloud platforms (Azure ML, TensorFlow Developer, etc.) are a plus.,