ChatOps Gen AI
DXC Technology
ChatOps Gen AI
Job Description
Categories: Artificial Intelligence, Machine Learning, Cloud Computing, DevOps, Software Engineering
Job Description:
Mandatory Skills
Strong proficiency in Generative AI, Large Language Models (LLMs), deep learning, agentic frameworks, and RAG setup.
Experience in designing and implementing machine learning models using scikit-learn and TensorFlow.
Hands-on expertise with AI/ML frameworks such as Hugging Face, LangChain, LangGraph, and PyTorch.
Cloud AI services experience, particularly in AWS SageMaker and AWS Bedrock.
MLOps & DevOps: Knowledge of data pipeline setup, Apache Airflow, CI/CD, and containerization (Docker, Kubernetes).
API Development: Ability to develop and maintain APIs following RESTful principles.
Technical proficiency in Elastic, Python, YAML, and system integrations.
Nice to Have:
Experience with Observability, Ansible, Terraform, Git, Microservices, AIOps, and scripting in Python.
Familiarity with AI cloud services such as Azure OpenAI and Google Vertex AI.
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
Locations
- BANGALORE, KA, India
Salary
147,000 - 220,000 USD / yearly
Source: AI Estimation
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Generative AIadvanced
- Large Language Models (LLMs)advanced
- Deep Learningadvanced
- Agentic Frameworksadvanced
- RAG Setupadvanced
- scikit-learnadvanced
- TensorFlowadvanced
- Hugging Faceadvanced
- LangChainadvanced
- LangGraphadvanced
- PyTorchadvanced
- AWS SageMakeradvanced
- AWS Bedrockadvanced
- MLOpsintermediate
- DevOpsintermediate
Required Qualifications
- Strong proficiency in Generative AI, LLMs, deep learning, agentic frameworks, and RAG setup (experience)
- Designing and implementing machine learning models using scikit-learn and TensorFlow (experience)
- Hands-on expertise with AI/ML frameworks such as Hugging Face, LangChain, LangGraph, and PyTorch (experience)
- Cloud AI services experience, particularly AWS SageMaker and AWS Bedrock (experience)
- Knowledge of MLOps & DevOps including data pipelines, Apache Airflow, CI/CD, Docker, Kubernetes (experience)
Responsibilities
- Design and implement Generative AI solutions using Large Language Models (LLMs) and agentic frameworks
- Develop and deploy machine learning models utilizing scikit-learn, TensorFlow, and PyTorch
- Build and optimize RAG setups and integrate AI/ML frameworks like Hugging Face, LangChain, and LangGraph
- Leverage cloud AI services such as AWS SageMaker and AWS Bedrock for model training and inference
- Implement MLOps and DevOps practices including data pipelines with Apache Airflow, CI/CD, and containerization with Docker and Kubernetes
- Develop and maintain RESTful APIs, integrate systems using Python, Elastic, and YAML
Benefits
- Health: Comprehensive health insurance plans supporting employee wellbeing
- Retirement: 401k matching contributions for long-term financial security
- Professional Development: Training and development programs including AI/ML certifications
- Work-Life Balance: Flexible work model prioritizing in-person collaboration and individual circumstances
- Inclusive Environment: Commitment to fostering an inclusive workplace where everyone can thrive
Tags & Categories
Answer 10 quick questions to check your fit for ChatOps Gen AI @ DXC Technology.
Related Books and Jobs
ChatOps Gen AI
DXC Technology
ChatOps Gen AI
Job Description
Categories: Artificial Intelligence, Machine Learning, Cloud Computing, DevOps, Software Engineering
Job Description:
Mandatory Skills
Strong proficiency in Generative AI, Large Language Models (LLMs), deep learning, agentic frameworks, and RAG setup.
Experience in designing and implementing machine learning models using scikit-learn and TensorFlow.
Hands-on expertise with AI/ML frameworks such as Hugging Face, LangChain, LangGraph, and PyTorch.
Cloud AI services experience, particularly in AWS SageMaker and AWS Bedrock.
MLOps & DevOps: Knowledge of data pipeline setup, Apache Airflow, CI/CD, and containerization (Docker, Kubernetes).
API Development: Ability to develop and maintain APIs following RESTful principles.
Technical proficiency in Elastic, Python, YAML, and system integrations.
Nice to Have:
Experience with Observability, Ansible, Terraform, Git, Microservices, AIOps, and scripting in Python.
Familiarity with AI cloud services such as Azure OpenAI and Google Vertex AI.
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
Locations
- BANGALORE, KA, India
Salary
147,000 - 220,000 USD / yearly
Source: AI Estimation
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Generative AIadvanced
- Large Language Models (LLMs)advanced
- Deep Learningadvanced
- Agentic Frameworksadvanced
- RAG Setupadvanced
- scikit-learnadvanced
- TensorFlowadvanced
- Hugging Faceadvanced
- LangChainadvanced
- LangGraphadvanced
- PyTorchadvanced
- AWS SageMakeradvanced
- AWS Bedrockadvanced
- MLOpsintermediate
- DevOpsintermediate
Required Qualifications
- Strong proficiency in Generative AI, LLMs, deep learning, agentic frameworks, and RAG setup (experience)
- Designing and implementing machine learning models using scikit-learn and TensorFlow (experience)
- Hands-on expertise with AI/ML frameworks such as Hugging Face, LangChain, LangGraph, and PyTorch (experience)
- Cloud AI services experience, particularly AWS SageMaker and AWS Bedrock (experience)
- Knowledge of MLOps & DevOps including data pipelines, Apache Airflow, CI/CD, Docker, Kubernetes (experience)
Responsibilities
- Design and implement Generative AI solutions using Large Language Models (LLMs) and agentic frameworks
- Develop and deploy machine learning models utilizing scikit-learn, TensorFlow, and PyTorch
- Build and optimize RAG setups and integrate AI/ML frameworks like Hugging Face, LangChain, and LangGraph
- Leverage cloud AI services such as AWS SageMaker and AWS Bedrock for model training and inference
- Implement MLOps and DevOps practices including data pipelines with Apache Airflow, CI/CD, and containerization with Docker and Kubernetes
- Develop and maintain RESTful APIs, integrate systems using Python, Elastic, and YAML
Benefits
- Health: Comprehensive health insurance plans supporting employee wellbeing
- Retirement: 401k matching contributions for long-term financial security
- Professional Development: Training and development programs including AI/ML certifications
- Work-Life Balance: Flexible work model prioritizing in-person collaboration and individual circumstances
- Inclusive Environment: Commitment to fostering an inclusive workplace where everyone can thrive
Tags & Categories
Answer 10 quick questions to check your fit for ChatOps Gen AI @ DXC Technology.
Related Books and Jobs