Data Science & AI Engineer

We are seeking a motivated AI Engineer to join our dynamic team. This role is ideal for individuals with 1-2 years of practical experience in artificial intelligence and machine learning. As a Junior AI Engineer, you will collaborate closely with senior team members to design, develop, and implement AI solutions that solve complex business challenges. This is a hands-on role that requires a solid understanding of machine learning algorithms, data analysis, and programming skills.Responsibilities: Assist in developing AI models and algorithms based on business requirements Perform data analysis and prepare data sets for model training and validation Implement machine learning pipelines Collaborate with cross-functional teams to integrate AI capabilities into existing systems Conduct experiments to optimize model performance and scalability Stay updated with the latest AI research and technologiesRequirements Bachelor's degree in Computer Science, Engineering, or a related field 1-2 years of experience in AI, machine learning, or data science roles Proficiency in Python, TensorFlow, PyTorch, or similar tools and frameworks Strong analytical and problem-solving skills Good understanding of data structures, algorithms, and statistical techniques Familiarity with prompt engineering techniques and using LLM APIs (OpenAI, Claude, etc.) Basic understanding of RAG (Retrieval-Augmented Generation) pipelines and vector databases (e.g., FAISS, Pinecone) Exposure to LLM-based agent frameworks or orchestration tools is a plus ⁠Solid understanding of MLOps principles, including model versioning, deployment, monitoring, and CI/CD pipelines for machine learning workflows Excellent communication and teamwork skillsPreferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) Knowledge of natural language processing (NLP) or computer vision (CV) technologies Familiarity with tools like LangChain, LlamaIndex, or Hugging Face Transformers Understanding of embeddings and chunking strategies for document-based AI systems Familiarity with DevOps practices and tools