Data Science Consultant

Overview:

Infosys Topaz is an AI-first suite of services, solutions, and platforms designed to accelerate business value through generative AI technologies. Join a pioneering team at the forefront of AI innovation, work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business.

Roles and Responsibilities:

• Participate in data extraction, transformation, and preparation.
• Resolve common data issues and ensure quality for model development.
• Participate in developing statistical and machine learning models and collaborate with technology teams to operationalize them.
• Participate in model testing and validation, selecting algorithms based on statistical and business metrics.
• Develop advanced analytics, machine learning, deep learning, and LLM models using SAS, R, and Python.
• Define analytics problems and execute visualization, analysis, and predictive modeling with senior support.
• Identify data sources, extract data from RDBMS, and develop UI/UX for client usage.
• Monitor model performance, make minor adjustments, escalate risks or compliance concerns, and generate deviation reports.
• Document model development, testing, and deployment activities.
• Translate business requirements into actionable models and communicate results effectively.
• Apply quality measurement frameworks to project tasks.
• Participate in deploying analytics tools in test and production environments.

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, and 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.
• Familiarity with planner-executor, reflection, multi-agent, and graph-based orchestration patterns.
• Hands-on experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, and vector databases such as Pinecone, Weaviate, Milvus, pgvector, FAISS, ChromaDB, and 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.
• Knowledge of AI governance, LLMOps, evaluation, observability, guardrails, model safety, compliance, and cloud-native deployment.

Preferred Skill and Experience:

• Exposure to Hugging Face, PyTorch, LoRA, QLoRA, PEFT, and open-source LLMs including Llama, Mistral, Gemma, DeepSeek, and Falcon.
• Familiarity with multimodal AI, vision-language models, speech and audio models, and image or video generation.
• Familiarity with DevOps and infrastructure-as-code tools including GitHub Actions, Jenkins, Terraform, Helm, and Kubernetes.
• Awareness of React, Angular, TypeScript, and GraphQL for copilot interfaces.

Additional Required Qualifications:

• Bachelor’s degree or foreign equivalent from an accredited institution required. Three years of progressive experience in the specialty may be considered in lieu of each year of education.
• May require relocation and/or travel to the work or project location.
• Applicants authorized to work in the United States are encouraged to apply.

Benefits:

Along with competitive pay, full-time Infosys employees are eligible for medical, dental, vision, and life insurance; long-term and short-term disability; health and dependent care reimbursement accounts; accident, critical illness, hospital indemnity, and legal insurance; a 401(k) plan; paid holidays; and paid time off.