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 technologies
  
  

Requirements

• 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 skills
  
  

Preferred 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