Leverage AI & GenAI technologies, machine learning (ML), natural language processing (NLP), computer vision, and predictive analytics to solve complex business problems and drive innovation
Job Summary
Leverage AI & GenAI technologies, machine learning (ML), natural language processing (NLP), computer vision, and predictive analytics to solve complex business problems and drive innovation.
Hands-on experience with Data Lake technologies like DataBricks and MLOps/LLMOps tools such as MLflow, Docker, and Kubernetes.
Proficiency in programming languages like Python and .Net, with strong understanding of cloud technologies (Azure & GCP) and APIs.
Matching Summary
Leverage AI & GenAI technologies, machine learning (ML), natural language processing (NLP), computer vision, and predictive analytics to solve complex business problems and drive innovation.
Skills & Requirements
Must-have
Python
PyTorch
SQL
TensorFlow
PySpark
Scikit-Learn
LangChain
LangGraph
Hugging Face
OpenAI GPT
Gemini
LLaMA
DataBricks
MLflow
Docker
Kubernetes
Git CI/CD
Postman
Streamlit
FastAPI
Flask
AWS SageMaker
Azure AI
Azure OpenAI
Azure Cognitive Search
Azure App Services
Google Cloud Vertex AI
Nice-to-have
Agentic AI
predictive analytics
computer vision
natural language processing
agile methodologies
AI ethics
regulatory compliance
Key Requirements
Minimum of 5 years of experience in AI projects
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
Proficiency in programming languages like Python, .Net
Strong understanding of cloud technologies (Azure & GCP), APIs, and microservices
Experience with agile methodologies and tools (e.g., Jira, Trello)