INInfosys Limited
AI/ML Engineer (with AWS Cloud Skills)
Bangalore Posted 5 Oct 2026
FULL TIME
Machine Learning
Docker
Aws Cloud
MLops
Model Monitoring
+1 more
Job Description
Job Overview:
- We are on the lookout for an enthusiastic AI ML Engineer with 2 to 3 years of expertise in the design, development, and deployment of Machine Learning and Generative AI solutions utilizing AWS Cloud.
- The ideal candidate will possess practical experience with Python ML frameworks, cloud-native AI services, and MLOps methodologies to create scalable, production-ready AI applications.
Core Responsibilities:
- Design, train, assess, and deploy Machine Learning models tailored for specific business needs.
- Create solutions for predictive analytics, classification, regression, recommendations, and natural language processing (NLP).
- Work with both structured and unstructured data sets during the model development process.
- Conduct feature engineering, model tuning, and performance enhancement.
- Develop applications that utilize LLMs and Generative AI technologies.
- Establish Retrieval Augmented Generation (RAG) pipelines.
- Integrate foundational models via AWS Bedrock or OpenAI APIs.
- Apply prompt engineering and LLM evaluation strategies.
Technical Qualifications:
- 2 to 3 years of practical experience in AI ML development.
- Proficient in Python programming.
- Experience in building and deploying ML models on AWS.
- Comprehensive understanding of the ML lifecycle, spanning from data preparation to deployment.
- Familiarity with SageMaker and AWS cloud services.
- Experience with Generative AI LLM projects is highly desirable.
Additional Qualifications:
- Experience with AWS Bedrock and foundational models.
- Familiarity with LangChain, RAG, and vector databases.
- Knowledge of MLOps practices and model monitoring techniques.
- Understanding of Docker and containerized application deployments.
- Certification in AWS Cloud or AWS Machine Learning is an advantage.