Description

You will design and deploy Generative AI and Machine Learning solutions across enterprise on-premises and cloud environments.

Responsibilities

• Design and implement advanced AI/ML models, including LLMs, for enterprise applications.
• Automate model deployments and inferencing using GCP Vertex AI, AWS Bedrock, or Azure ML.
• Build and manage vector databases, data pipelines, and ETL processes.
• Develop robust APIs using Python and FastAPI for system integration.
• Apply MLOps practices to streamline deployment and monitoring of models.

Required Skills

• 7+ years of experience in AI/ML engineering.
• Proficiency in Python programming and API development.
• Experience with cloud platforms including GCP, AWS, and Azure.
• Hands-on expertise with TensorFlow, LangChain, and GPT-based models.
• Knowledge of Big Data tools including Spark, Hadoop, and BigQuery.
• Experience with vector databases, prompt engineering, and NLP techniques.
• Practical use of Docker, Kubernetes, Terraform, and CI/CD pipelines.
• Ability to build ETL processes and real-time analytics frameworks.

Preferred Skills

• Master's degree in Business Analytics, Information Technology, or a related field.
• Experience with exploratory data analysis and statistical modeling.

Key Skills

Education

Any Graduate