Artificial Intelligence/ Machine Learning Engineer - LLM

Job Description :

We are looking for an ML/AI Gen AI Expert with 3-8 years of experience to execute AI/GenAI use cases as POCs. Media domain experience (OTT, DTH, Web) is a plus.

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 Cloud's 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.

Requirements :

- 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.