AI/ML Engineer

Responsibilities

• Design, develop, and deploy scalable machine learning models and AI-driven solutions to address complex business and operational challenges.
• Build and enhance Generative AI, LLM, and Retrieval-Augmented Generation (RAG) applications, including chatbot and conversational AI capabilities.
• Develop and optimize data pipelines, feature engineering workflows, and large-scale data processing solutions using Python, SQL and Spark.
• Implement and support MLOps practices, including model training, deployment, monitoring, and lifecycle management using tools such as MLflow and Azure cloud services.
• Collaborate with cross-functional teams and stakeholders to deliver customer-focused AI/ML solutions while staying current on emerging technologies and industry best practices.

Qualifications

• 3+ years of experience designing, developing, and deploying machine learning models
• 3+ years of experience with Generative AI, 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 Spark
• Experience with Databricks and MLOps tools like MLflow
• Experience with cloud, preferably in Azure
• Successfully pass background and drug screening

Preferred Qualifications

• 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

Pay

Final salary determination based on skill-set, qualifications, and approved funding. Estimated Salary/Wage USD $80,000.00/Yr. Up to USD $90,000.00/Yr.