Job DescriptionIn the assigned Job Role of Data Science Consultant 2, your Area Of Responsibility will be as below:• Develop data preparation tasks, while identifying patterns or anomalies.
• Ensure data readiness for advanced modeling.
• Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions.
• Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices.
• Design and develop predictive models and data-driven analyses to address business challenges.
• Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.
• Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions.
• Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.
• Proactively maintain models and implement improvements for accuracy and reliability.
• Apply governance controls to mitigate risks and ensure compliance.
• Analyze performance trends, recommend improvements, and document discrepancies for escalation.
• Maintain comprehensive documentation standards, while participating in knowledge transfer sessions.
• Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models.
• Apply the predefined quality measurement framework at an individual task level in the project.
• Deploy complex analytics tools or multi-system integration, while validating deployment success.
• Participate in developing scripts or templates for repeated deployments tasks.
• Contribute to analytic solutions, IP asset creation, and training initiatives.
• Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts.
• Participate in and deliver analytics training, while contributing to content creation.
• Provide input for segment and unit-level business plans.
Your contribution to the team:• Deliver scalable, high-quality analytics solutions aligned to business needs.
• A knack for optimization, deployment and performance improvement of models.
• The ability to drive innovation through advanced analytics, automation and thought leadership.
• Enable team growth through knowledge sharing, training and standardization.
• Support business planning with data-driven insights.
Required Skill and ExperienceOpenAI Codex, AI Coding Agents, GitHub Copilot Enterprise administration and deployment.
AI Agent Engineering, orchestration, Custom GPTs, Assistants, and MCP (Model Context Protocol).
MCP security, authorization, enterprise IAM, RBAC, and fine-grained access controls.
SSO, SAML, OAuth 2.0, OIDC, SCIM Provisioning, Active Directory, and Microsoft Entra ID.
AWS IAM, AWS Identity Center, Bedrock, Bedrock Agents, ECS, Lambda, API Gateway, CloudWatch, and VPC.
Strong Python development, Async Python, REST APIs, and automation/integration services.
Structured logging, test automation, regression testing, and agent evaluation frameworks.
Bash/Shell scripting and PowerShell.
Prompt injection testing, AI security validation, and enterprise AI platform operations.
Technical leadership, cross-functional collaboration, and end-to-end SDLC delivery.
Preferred Skill and ExperienceEnterprise-level production experience with AI coding platforms and AI-assisted development tools.
Hands-on experience implementing least-privilege access controls for AI agents and autonomous systems.
Strong understanding of Model Context Protocol (MCP) security boundaries and agent security architecture.
Advanced proficiency in Python, including asynchronous programming (Async Python).
Experience developing and maintaining APIs using modern API frameworks such as FastAPI, Flask, or similar.
Expertise in structured logging, observability, and monitoring for distributed applications.
Experience building automated agent evaluation frameworks and AI application validation processes.
Strong background in test harness development, automated testing, and regression testing suites.
Proficiency in Bash/Shell scripting and PowerShell for automation and operational tasks.
Experience conducting prompt injection testing, AI security assessments, and vulnerability analysis.
Demonstrated technical leadership with experience mentoring teams, driving technical decisions, and leading solution delivery.
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.
• All applicants authorized to work in the United States are encouraged to apply.
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
