Infosys

AI Engineer

Infosys$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data science or related field
  • Strong programming skills in Python
  • Hands-on experience with AI/ML frameworks like TensorFlow and PyTorch
  • Expertise in Generative AI technologies
  • Proficiency in the Microsoft Azure AI ecosystem
  • Bachelor's degree or equivalent work experience required
  • Experience working in large-scale enterprise environments preferred

Responsibilities

  • Develop data preparation tasks identifying patterns and anomalies
  • Ensure data readiness for advanced modeling
  • Create and refine models for complex use cases
  • Conduct testing and optimize algorithms for performance
  • Design predictive models to address business challenges
  • Implement governance controls to ensure compliance
  • Contribute to knowledge management and training initiatives

Benefits

  • Medical, Dental, and Vision Insurance
  • Life Insurance
  • Long/Short-term Disability Coverage
  • Health and Dependent Care Reimbursement
  • 401(k) plan with contributions based on salary
  • Paid holidays and Paid Time Off
Full Job Description
Job details

Job Role

Data Science Consultant 2

Career Role

Lead Analyst - Data Science

Work Location

Hartford, CT

State / Region / Province

Connecticut, North Carolina, Texas

Country

USA

Domain

Delivery

Interest Group

Infosys Limited

Company

ITL USA

Requisition ID

148188BR

Technical Skills 1

Technology|Artificial Intelligence|Artificial Intelligence - ALL

Technical Skills 2

Technology|AI Hyperscalers|Azure Agentic AI Services

Overview

In 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 Experience

Strong programming skills in Python
Hands-on experience with AI/ML frameworks: TensorFlow, PyTorch, LangChain
Expertise in Generative AI, including:

RAG (Retrieval-Augmented Generation)
AI Agents / Agentic frameworks
Prompt Engineering

Proficiency with Microsoft Azure AI ecosystem

Preferred Skill and Experience

Experience building Copilot or AI-powered enterprise assistants
Exposure to multi-modal AI systems
Knowledge of LLM fine-tuning and embeddings
Experience working in large-scale enterprise environments

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.

Benefits

Along 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

About Infosys

Infosys Limited is an Indian multinational corporation that provides business consulting, information technology and outsourcing services. It has its headquarters in Bangalore, Karnataka, India. Infosys is the second-largest Indian IT company after Tata Consultancy Services by 2017 revenue figures and the 596th largest public company in the world based on revenue. On 31 March 2018, its market capitalisation was $37.32 billion. The credit rating of the company is A? (rating by Standard & Poor's).
Learn more about Infosys
Size
314,015 employees
Market Cap
$77.5 billion
Industry
Net Income
$178.5 billion
Founded
2004
5 Year Trend
+12.2%
Revenue
$945.9 billion
NASDAQ

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