Infosys

AI Engineer

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

Qualifications

  • Bachelor's degree or equivalent experience in Data Science or related field.
  • 5-7 years of experience in data science and analytics.
  • Strong programming skills in Python.
  • Hands-on experience with AI/ML frameworks like TensorFlow and PyTorch.
  • Expertise in Generative AI concepts such as RAG and prompt engineering.
  • Familiarity with CI/CD and MLOps practices.
  • Proficiency in data extraction, transformation, and preparation.

Responsibilities

  • Participate in data extraction, transformation, and preparation.
  • Resolve common data issues to ensure model quality.
  • Develop models using statistical and machine learning techniques.
  • Test and validate models, selecting the best algorithms.
  • Develop advanced analytics and deep learning models using Python/R.
  • Identify data sources and develop UI/UX for client usage.
  • Document model development and testing activities for reproducibility.

Benefits

  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance options including Accident and Critical Illness
  • 401(k) plan contributions based on salary level
  • Paid holidays plus Paid Time Off.
Full Job Description
Job details

Job Role

Data Science Consultant 1

Career Role

Analyst - Data Science

Work Location

Hartford, CT, Raleigh, NC, Richardson, TX

State / Region / Province

Connecticut, North Carolina, Texas

Country

USA

Domain

Delivery

Interest Group

Infosys Limited

Company

ITL USA

Requisition ID

148187BR

Technical Skills 1

Technology|data science|PYTHON

Technical Skills 2

Technology|Data Science|Machine Learning

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

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

Preferred Skill and Experience

Experience in Data Engineering & pipelines (ETL/ELT, streaming, batch processing)
Proficiency with Microsoft Azure AI ecosystem
Experience with Databricks (Lakehouse, ML workflows)
Strong understanding of Snowflake and Data Cloud architectures
Knowledge of Conversational AI architecture and NLP systems
Familiarity with CI/CD and MLOps practices

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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