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.
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.