Infosys is seeking an AI Engineer to solve business problems by creating high-level solution architectures, developing and optimizing machine learning models, and ensuring seamless integration with enterprise systems.
Requirements
- Experience in MLOps tools (e.g., MLflow, Kubeflow, Airflow) and Python.
- At least 2 years of experience in MLOps tools (e.g., MLflow, Kubeflow, Airflow).
- At least 2 years of experience in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, XGBoost.
- Experience with prompt engineering tools and frameworks such as LangChain, LlamaIndex, OpenAI API, Hugging Face Transformers.
- Hands-on experience with cloud platforms (AWS or GCP) and containerization (Docker, Kubernetes).
- Solid understanding of software engineering principles, data structures, and algorithms.
- Familiarity with data platforms like Databricks, Snowflake, Apache Spark.
Responsibilities
- creating high-level solution architectures
- developing and optimizing machine learning models
- ensuring seamless integration with enterprise systems
- delivering high-quality code and model artifacts
- leading validation for all types of testing (functional, performance, and accuracy)
- supporting activities related to implementation, transition, and warranty
- Design, develop, and deploy robust machine learning models for classification, regression, recommendation systems, and time-series forecasting.
Other
- Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply.
- This position requires travel and/or relocation to project/client location.
- Excellent communication and collaboration skills.
- 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.
