AI/ML- Gen AI Expert

Job Description: AI/ML Gen AI Expert (4-7 Years Experience)
Role Overview:We are looking for a ML/AI Gen AI Expert with 4-7 years of experience for executing AI/GenAI use cases as POCs . Media domain experience (OTT, DTH, Web) is a plus.

Key Responsibilities:Identify, define, and deliver AI/ML and GenAI use cases in collaboration with business and technical stakeholders.Design, develop, and deploy models (ML and GenAI) using Google Clouds Vertex AI platform.Fine-tune and evaluate LLMs for domain-specific applications, ensuring responsible AI practices.Collaborate with data engineers and architects to ensure robust, scalable, and secure data pipelines feeding ML models.Document solutions, workflows, and experiments to support reproducibility, transparency, and handover readiness.

Core Skills:Strong foundation in machine learning and deep learning, including supervised, unsupervised, and reinforcement learning.Hands-on experience with Vertex AI, including AutoML, Pipelines, Model Registry, and Generative AI Studio.Experience with LLMs and GenAI workflows, including prompt engineering, tuning, and evaluation.Python and ML frameworks proficiency (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers).Strong collaboration and communication skills to work cross-functionally with data, product, and business teams.

Technical Skills:Vertex AI on Google Cloud Model training, deployment, endpoint management, and MLOps tooling.GenAI tools and APIs Hands-on with PaLM, Gemini, or other large language models via Vertex AI or open source.Python Proficient in scripting ML pipelines, data preprocessing, and model evaluation.ML/GenAI Libraries scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain.Cloud & DevOps Experience with GCP services (BigQuery, Cloud Functions, Cloud Storage), CI/CD for ML, and containerization (Docker/Kubernetes)Experience in the media domain (OTT, DTH, Web) and handling large-scale media datasets.