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Tata Consultancy Services

Generative AI Lead Developer

Tata Consultancy Services, Atlanta, Georgia, United States, 30383


Job Description:Relevant Experience1+ years (GenAI)3+ years (AI/ML)10+ years in Data & AnalyticsTechnical/Functional Skills RequiredGenerative AI : Experience with

Gemini

and/or

GPT

modelsExperience 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 workflowsCI/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 & ResponsibilitiesDevelop 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 GCPs services, ensuring that AI models can scale with Macys 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 Macys AI capabilities.Generic Managerial SkillsCollaborate 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.