T

Walk-in || Tcs WALK IN DRIVE _ AI ML Engineer

Tata Consultancy Services · Rasapūdipalem, Andhra Pradesh, India

~₹10L (est.)2–8 yrs experiencefull_timePosted Yesterday
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Job description

**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. - Strong 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.