Job Summary

We are seeking a highly skilled AI/ML Engineer with strong expertise in Python, Machine Learning, and Google Cloud Platform (GCP). The ideal candidate will design, develop, deploy, and maintain scalable machine learning solutions while leveraging GCP services such as Vertex AI, BigQuery, Cloud Storage, and Cloud Functions. [GCP AI ML Engineer | Word], [DB_GCP AI...ngineer_JD | Word]

Key Responsibilities

- Design, develop, and deploy machine learning models and AI solutions.
- Build end-to-end ML pipelines for data ingestion, preprocessing, training, validation, and deployment.
- Develop predictive models, recommendation systems, NLP, and Generative AI solutions.
- Utilize GCP services including Vertex AI, BigQuery, Cloud Storage, Cloud Functions, and related AI services.
- Collaborate with business stakeholders to understand requirements and translate them into AI-driven solutions.
- Perform data analysis, feature engineering, model selection, and optimization.
- Deploy and monitor models in production environments.
- Implement MLOps best practices, CI/CD pipelines, model monitoring, and retraining strategies.
- Work with cross-functional teams including Data Engineers, Architects, and Business Analysts.




- Stay updated with the latest AI/ML, GenAI, and cloud innovations. [GCP AI ML Engineer | Word], [JD_Natwest...yoti Saini | Word], [DB_GCP AI...ngineer_JD | Word]

Required Skills

Must Have

- Strong programming expertise in Python.
- Hands-on experience with Machine Learning and Deep Learning algorithms.
- Experience with TensorFlow, PyTorch, Scikit-learn, Keras.

- Strong understanding of

- Statistics

- Probability

- Data Structures

- Algorithms

- Feature Engineering
- Experience with Google Cloud Platform (GCP).
- Working knowledge of Vertex AI, BigQuery, Cloud Storage.
- Experience building and deploying ML models in cloud environments.
- Knowledge of SQL and data analytics.
- Solid problem-solving and communication skills. [GCP AI ML Engineer | Word], [DB_GCP AI...ngineer_JD | Word]

Good to Have
- Generative AI / LLM experience (OpenAI, Gemini, Llama).
- NLP and Retrieval-Augmented Generation (RAG).
- MLOps tools such as MLflow, Kubeflow, Vertex AI Pipelines.
- Docker, Kubernetes.
- Experience in Banking, BFSI, Healthcare, Retail, or Insurance domains.

📌 Walk-in || Tcs WALK IN DRIVE _ AI ML Engineer (Visakhapatnam)
🏢 Tata Consultancy Services
📍 Visakhapatnam