Job details
Job Role
Data Science Consultant 1
Career Role
Analyst - Data Science
Work Location
Charlotte, TX, Dallas, TX, Houston, TX, Raleigh, NC, Richardson, TX
State / Region / Province
North Carolina, Texas
Country
USA
Domain
Delivery
Interest Group
Infosys Limited
Company
ITL USA
Requisition ID
151773BR
Technical Skills 1
Technology|Machine Learning|Generative AI
Technical Skills 2
Technology|Agentic AI|Agent Engineering
Technical Skills 3
Technology|Generative AI|Prompt Engineering
Technical Skills 4
Technology|Generative AI|Conversational AI Platform
Technical Skills 5
Technology|AI Hyperscalers|Azure Agentic AI Services
In the assigned Job Role of Data Science Consultant 1, your Area Of Responsibility will be as below:• Participate in data extraction, transformation, and preparation.
• Resolve common data issues and ensure quality for model development.
• Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics tools or scripts.
• Participate in model testing and validation, selecting the best-performing algorithms based on statistical and business metrics.
• Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python.
• Participate in defining analytics problems; execute visualization, analysis, and predictive modeling with senior support.
• Identify data sources and extract from RDBMS and develop UI/UX for client usage.
• Participate in model performance, while making minor adjustments, and escalate risks or compliance concerns and generate reports on deviations or schedule slippages.
• Proactively participate in detailed documentation of model development, testing, and deployment activities for reproducibility.
• Work closely with business and technology teams to translate requirements into actionable models, while communicating results effectively.
• Apply predefined quality measurement frameworks, if any, to individual project tasks.
• Participate in deploying analytics tools in test and production environment, while ensuring they meet operational requirements.
Your contribution to the team:• Strong analytical and problem-solving mindset with hands-on model development skills.
• Ability to translate business needs into actionable analytics solutions.
• Focus on data quality, validation and performance optimization.
• Effective collaboration with business and technology stakeholders.
• Commitment to continuous learning, knowledge sharing, fostering team development.
Required Skill and Experience• Enterprise GenAI and Agentic AI solutions across RAG, AI agents, conversational AI, enterprise search, workflow automation, document intelligence, and AI copilots; comfortable with planner-executor, reflection, multi-agent, and graph-based orchestration patterns.
• Hands-on with orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI) and vector databases (Pinecone, Weaviate, Milvus, pgvector, FAISS, ChromaDB, Azure AI Search); working knowledge of grounding, prompt engineering, and context management.
• Experience integrating GenAI with Azure OpenAI, AWS Bedrock, Vertex AI, OpenAI, Anthropic, and Gemini, along with enterprise APIs, middleware, and data platforms.
• Knowledge of AI governance, LLMOps, evaluation, observability, guardrails, model safety, compliance, and cloud-native deployment.
Preferred Skill and Experience• Exposure to open-source LLM ecosystems - Hugging Face, PyTorch, LoRA, QLoRA, PEFT - and models such as Llama, Mistral, Gemma, DeepSeek, and Falcon.
• Familiarity with multimodal AI, including vision-language models, speech and audio models, and image or video generation.
• Familiarity with DevOps and IaC tooling (GitHub Actions, Jenkins, Terraform, Helm, Kubernetes) and awareness of front-end stacks (React, Angular, TypeScript, GraphQL) used in copilot interfaces.
Additional Required Qualifications• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
BenefitsAlong with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
- Medical/Dental/Vision/Life Insurance
- Long-term/Short-term Disability
- Health and Dependent Care Reimbursement Accounts
- Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
- 401(k) plan and contributions dependent on salary level
- Paid holidays plus Paid Time Off
