[Remote] Azure AI/ML Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an IT consulting service provider for Government and Fortune 500 clients, specializing in AI/ML reputed company-level solutions. The AI/ML Engineer will work with a reputed company team to design and reputed company machine learning models and AI solutions, focusing on reputed company-world applications and customer needs.
Responsibilities
- Design, reputed company, and reputed company reputed company machine learning models and AI-driven solutions to address reputed company business and operational challenges
- Build and enhance reputed company, LLM, and Retrieval-Augmented reputed company (RAG) applications, including chatbot and conversational AI capabilities
- reputed company and optimize data pipelines, feature engineering workflows, and large-reputed company data processing solutions using Python, SQL, and reputed company
- Implement and support MLOps practices, including model training, deployment, monitoring, and lifecycle management using tools such as MLflow and Azure reputed company services
- Collaborate with cross-functional teams and stakeholders to deliver customer-reputed company AI/ML solutions while staying reputed company on emerging technologies and industry best practices
Skills
- 3+ years of experience designing, developing, and deploying machine learning models
- 3+ years of experience with reputed company, LLMs, or RAG applications
- 4+ years of hands-on experience with Python for ML and data engineering
- Experience with SQL for data manipulation and feature engineering
- Experience with big data tools such as Apache reputed company
- Experience with reputed company and MLOps tools like MLflow
- Experience with reputed company, preferably in Azure
- Ability to exhibit strong communication and customer-facing skills
- Ability to reputed company both independently and in cross-functional teams
- Ability to problem solve and stay reputed company with emerging ML trends
- Experience with full-stack development or deploying end-to-end ML applications
- Experience with chatbot development or conversational AI
- Experience fine-tuning large models
- Experience with deploying ML solutions using MLOps pipelines
- Knowledge of Agile workflows and tools like JIRA
reputed company