Generative AI Lead Developer at Tata Consultancy Services in Atlanta, Georgia

Posted in Other about 2 hours ago.

Type: full-time





Job Description:

Job Description:

Relevant Experience
  • 1+ years (GenAI)
  • 3+ years (AI/ML)
  • 10+ years in Data & Analytics

Technical/Functional Skills Required
  • Generative AI: Experience with Gemini and/or GPT models
  • Experience building RAG applications.
  • Chatbot UI experience.
  • Comfortable with Google Cloud Platform (GCP)- BigQuery, Vertex AI, Cloud Storage, Dataflow, and Cloud AI services.
  • Strong Analytical SQL knowledge.
  • AI/ML: Expertise in Machine Learning Operations (MLOps), Model Management, Feature Engineering, and Model Deployment.
  • Programming Languages: Proficiency in Python, Java, SQL, TensorFlow, PyTorch, and Kubernetes for ML workflows
  • CI/CD: Familiarity with CI/CD pipelines using tools like Jenkins, GitLab, Docker, and Kubernetes for continuous integration and automated deployment.
  • Retail Domain: Knowledge of retail business processes and customer engagement technologies is preferred.

Roles & Responsibilities
  • Develop GenAI Solutions: Develop end-to-end GenAI architectures, including data ingestion, training, evaluation, and deployment of AI models, ensuring alignment with business objectives and technical constraints.
  • Ensure Scalability & Performance: Architect cloud-native, scalable solutions using GCP's services, ensuring that AI models can scale with Macy's growing data needs.
  • Model Deployment & Monitoring: Operationalize AI/ML models, ensuring continuous monitoring, automated updates, and retraining pipelines for model accuracy and performance.
  • Security & Compliance: Ensure AI models and data handling adhere to industry standards for security, privacy, and compliance.
  • Innovate with Latest Technologies: Stay updated on emerging trends in GenAI, GCP services, and cloud-based AI/ML solutions, recommending and implementing new tools and technologies to improve Macy's AI capabilities.

Generic Managerial Skills
  • Collaborate with Cross-Functional Teams: Work closely with data scientists, data engineers, product managers, and business stakeholders to deliver high-impact AI-driven products and solutions.
  • Mentor & Lead Teams: Guide a team of AI/ML engineers and architects in the design and implementation of GenAI solutions while fostering innovation and maintaining a collaborative work environment.
  • Offshore Coordination:Coordinate and drive the delivery of Offshore engineers.

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