Artificial Intelligence Engineer III

About the job

Position: Artificial Intelligence Engineer III Job Description: What you’ll be doing: We are seeking a highly skilled and motivated AI Engineer for developing, and implementing artificial intelligence (AI) solutions within an organization. The role focuses on leveraging AI & GenAI technologies, machine learning (ML), natural language processing (NLP), computer vision, and predictive analytics to solve complex business problems and drive innovation. What we’re looking for: Technical Expertise • Working Experience in Python, PyTorch, SQL, TensorFlow, PySpark, Scikit-Learn • Expertise in AI, Agentic AI & LLMs - LangChain, LangGraph, Hugging Face, OpenAI GPT, Gemini, LLaMA • Hands-on in Data Lake: DataBricks • Experience in MLOps & LLMOps: MLflow, Docker, Kubernetes, Git CI/CD, Postman, Streamlit, FastAPI, Flask • Knowledge on Cloud AI Platforms: AWS (SageMaker, S3, etc), Azure (AI, OpenAI, Cognitive Search, App Services), Google Cloud (Vertex AI) Qualifications: • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Advanced degree preferred. • Experience: Minimum of 5 years of experience in AI projects, data science, or a related field. • Skills: • Expertise in AI & GenAI technologies, frameworks, and methodologies (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision). • Proficiency in programming languages like Python, .Net • Strong understanding of cloud technologies (Azure & GCP), APIs, and microservices. • Knowledge of big data processing tools (e.g., Hadoop, Apache Spark). • Hands-on experience with tools and platforms used in AI development (e.g., Azure AI Foundry, Ollama, DataBricks etc.). • Experience in building AI Solutions using on-premise and Cloud technologies. • Experience with agile methodologies and tools (e.g., Jira, Trello) for building technical projects. • Demonstrated ability to manage multiple projects simultaneously and prioritize effectively. • Strong problem-solving, analytical, and communication skills. • Knowledge of AI ethics and regulatory compliance frameworks. • Proficiency with data engineering and cloud architecture principles.