Role Overview:

We are looking for an experienced Senior Associate GCP AI to design, develop, deploy, and optimize AI/ML solutions on the Google Cloud Platform (GCP). The role involves building production-grade machine learning solutions, leveraging GCP AI services, supporting MLOps, and collaborating with data science and engineering teams.

Key Responsibilities:

- Design and implement scalable AI/ML solutions on Google Cloud Platform.
- Develop, train, deploy, and manage machine learning models using Vertex AI and related GCP services.
- Build and optimize ML solutions using frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn.
- Develop data preprocessing, feature engineering, model training, validation, and inference pipelines.
- Integrate AI/ML models with enterprise applications, APIs, and existing data platforms.
- Use GCP AI capabilities such as Vertex AI, Vision AI, and Natural Language AI.
- Implement and support MLOps practices covering model versioning, deployment, monitoring, and lifecycle management.
- Optimize model performance, inference efficiency, scalability, and GCP resource utilization.
- Work with data engineers and data scientists to operationalize machine learning solutions.
- Leverage BigQuery, Dataflow, and other GCP data services.
- Monitor deployed models and troubleshoot performance, reliability, and production issues.
- Contribute to solution design, technical discussions, code reviews, and engineering best practices.
- Provide technical guidance and mentorship to junior team members.
- Collaborate with architects, data scientists, and clients to translate business requirements into scalable AI solutions.




- Stay current with developments in GCP AI services, Generative AI, and MLOps.

Required Skills:

- 6 - 7 years of experience in AI/ML engineering or machine learning development.
- Strong hands-on experience with Google Cloud Platform and Vertex AI.
- Strong proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, Keras, and scikit-learn.
- Robust understanding of machine learning algorithms, data preprocessing, feature engineering, and model evaluation.
- Experience developing and deploying machine learning models in production environments.
- Hands-on experience with MLOps and ML model lifecycle management.
- Experience with GCP data services such as BigQuery and Dataflow.
- Good understanding of cloud-based AI architecture, APIs, model serving, and scalability.
- Experience with AI services such as Vision AI and Natural Language AI is preferred.
- Strong troubleshooting, analytical, and problem-solving skills.
- Good understanding of software engineering practices including Git, testing, CI/CD, and deployment.
- Strong communication and stakeholder management skills.
- Ability to work effectively in cross-functional teams.

Good to Have :

- Google Cloud Professional Machine Learning Engineer certification.
- Experience with Generative AI, LLMs, or Vertex AI Generative AI capabilities.
- Exposure to AWS or Azure AI/ML platforms.
- Experience with Docker, Kubernetes, or containerized ML workloads.
- Prior experience in a client-facing consulting or technology services environment.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, or Statistics.

📌 Senior Associate - AI/ML Solutions (India)
🏢 Symphoni HR
📍 India