This role is for one of the Weekday's clients

Min Experience: 3 years

Location: Chennai, Hyderabad

JobType: full-time

We are looking for a skilled and passionate GenAI Engineer to design, build, and deploy next-generation AI and generative AI solutions. In this role, you will work at the intersection of machine learning, deep learning, and cloud-native systems to create scalable, production-grade AI models. You will collaborate closely with product managers, data scientists, and engineering teams to translate business problems into robust AI-driven solutions using contemporary ML frameworks and Google Cloud technologies.

This role is ideal for someone who has hands-on experience building and deploying ML models, is comfortable working with large datasets, and is excited about advancing generative AI capabilities in real-world applications.

Key Responsibilities

- Design, develop, and deploy machine learning and generative AI models using Python, TensorFlow, and PyTorch
- Build end-to-end ML pipelines including data preprocessing, model training, evaluation, and inference
- Leverage Google Cloud Platform (GCP) services to develop scalable and reliable AI systems
- Implement and manage ML workflows using Vertex AI, including training jobs, model versioning, and deployment
- Optimize model performance, latency, and cost for production environments




- Collaborate with cross-functional teams to understand requirements and deliver AI-driven solutions aligned with business goals
- Conduct experiments, fine-tune models, and evaluate results using appropriate metrics
- Ensure best practices in MLOps, including reproducibility, monitoring, and model lifecycle management
- Stay updated with the latest advancements in generative AI, deep learning frameworks, and cloud ML services
- Contribute to technical documentation and knowledge sharing within the team

Required Skills & Qualifications

- 3–5 years of hands-on experience in machine learning, deep learning, or AI engineering
- Strong proficiency in Python for ML development and data processing
- Practical experience with TensorFlow and PyTorch for training and deploying deep learning models
- Experience working with Google Cloud Platform (GCP) for ML workloads
- Hands-on expertise with Vertex AI, including model training, pipelines, and deployment
- Solid understanding of ML concepts such as supervised/unsupervised learning, neural networks, and model evaluation
- Experience handling large datasets and building scalable ML systems
- Familiarity with REST APIs and integrating ML models into applications

Good to Have

- Experience with large language models (LLMs) or generative AI use cases
- Knowledge of MLOps tools, CI/CD for ML, and monitoring in production
- Exposure to data engineering or distributed computing frameworks

📌 GenAI Engineer (Chennai)
🏢 Nameless
📍 Chennai