AL/ML Engineers

Infosys is seeking a experience in AI/ML Engineer - In the role, you will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture knowledge and Design. You will play an important role in creating the high-level design artifacts. You will also deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition, and warranty. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Candidate must be located within commuting distance of Richardson, TX or be willing to relocate to the area. This position may require travel to project locations.

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.
• At least 4 years of Information Technology experience.
• Experience in Traditional Machine Learning & Statistical Modeling.
• Build and deploy predictive models with logistic/linear regression, random forests, gradient boosting techniques (XGBoost, LightGBM), SVM, Naive Bayes, k-means, and hierarchical clustering.
• Conduct feature selection via Lasso/Ridge regression, recursive feature elimination (RFE), and SHAP values for interpretability.
• Experience in Data Engineering.

Preferred Qualifications:

• Hands-on experience in machine learning, statistical modeling, and NLP applications.- Deep expertise in text embeddings and their real-world applications.
• Proficiency in Python, PySpark, and SQL.
• Strong foundation in statistical inference, model diagnostics, and evaluation metrics.
• Experience working with Azure cloud ecosystem, Databricks, and production deployment of ML models.
• Proven ability to design, execute, and interpret experiments with statistical rigor.
• Familiarity with transformer-based large language models (LLMs), LangChain, or OpenAI APIs.
• Experience with MLOps tools such as MLflow and Github Actions CI/CD pipelines with Azure App Services.
• Exposure to graph analytics, retrieval-augmented generation (RAG) pipelines, or agent-based systems.

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements

Client-provided location(s): Richardson, TX

Job ID: Infosys-136778BR

Employment Type: OTHER

Posted: 2025-08-08T23:20:32