Job Description

We are seeking an AI Engineer with 1 3 years of experience to support the development, implementation, testing, and deployment of AI and machine learning solutions. The ideal candidate will have hands-on experience with Python, machine learning, deep learning, data processing, and AI/ML frameworks and an interest in emerging technologies such as Generative AI and Large Language Models (LLMs).

The AI Engineer will work with cross-functional teams to build and improve AI models, develop data-driven solutions, evaluate model performance, and assist with deploying AI applications into production environments.

• Develop, train, test, and optimize machine learning and deep learning models using Python.
• Prepare, clean, transform, and analyze structured and unstructured datasets for AI/ML applications.
• Implement machine learning algorithms for classification, regression, clustering, and predictive analytics.
• Work with PyTorch, TensorFlow, Scikit-learn, or similar machine learning frameworks.
• Support development of Generative AI and LLM-based applications, including prompt engineering and model evaluation.
• Build and maintain RAG (Retrieval-Augmented Generation) pipelines and AI-powered applications when required.
• Work with APIs, databases, and data-processing pipelines to integrate AI models into applications.
• Develop and maintain AI/ML services using technologies such as FastAPI, Flask, or REST APIs.
• Evaluate model accuracy, performance, scalability, and reliability and recommend improvements.
• Assist with model deployment, monitoring, versioning, and maintenance in development and production environments.
• Work with cloud platforms such as AWS, Azure, or Google Cloud for AI/ML workloads.
• Use Git/GitHub, Docker, and CI/CD tools to support development and deployment workflows.
• Collaborate with software engineers, data scientists, data engineers, and product teams.
• Document models, experiments, data pipelines, APIs, and technical processes.
• Stay current with developments in Artificial Intelligence, Machine Learning, Generative AI, LLMs, and MLOps.

• 1 3 years of experience in AI, Machine Learning, Data Science, or a related field.
• Strong programming skills in Python.
• Knowledge of Machine Learning and Deep Learning concepts.
• Experience with PyTorch, TensorFlow, Scikit-learn, or equivalent frameworks.
• Understanding of NLP, Generative AI, LLMs, or Computer Vision.
• Knowledge of data preprocessing, feature engineering, model training, and model evaluation.
• Experience with SQL and working with databases.
• Familiarity with REST APIs and Git/GitHub.
• Understanding of cloud platforms such as AWS, Azure, or GCP.
• Familiarity with Docker and MLOps concepts is a plus.
• Strong analytical, problem-solving, and communication skills.

• Large Language Models (LLMs)
• Generative AI
• Prompt Engineering
• RAG
• LangChain or LlamaIndex
• Hugging Face Transformers
• Vector Databases such as Pinecone, FAISS, Weaviate, or Milvus
• AI model deployment and monitoring
• MLOps

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