AI Engineer
Role details
Job location
Tech stack
Job description
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.
Requirements
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Strong analytical and problem-solving mindset with hands-on model development skills., 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, 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, * 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.
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This position may require relocation and/or travel to work/project location.
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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 & conditions
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