AI/ML Engineer

Job Description

Job Description

True innovation happens where machine learning meets cloud technology and real-world impact. As an AI/ML Engineer, you'll join a collaborative team of technologists, data scientists, and stakeholders to tackle meaningful challenges using ML, Generative AI, and modern tools.

You'll contribute to building and scaling intelligent systems from core ML models to chatbot and Retrieval-Augmented Generation (RAG) applications. With strong skills in Python, SQL, and cloud platforms like Azure, you'll help deliver practical, forward-looking solutions in dynamic environments.

Bring your technical expertise, curiosity, and customer-first mindset to help shape the future of intelligent systems across industries.

Core 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.

You Have:

• 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 platforms, preferably Microsoft Azure.
• Ability to exhibit strong communication and customer-facing skills.
• Ability to thrive both independently and in cross-functional teams.
• Ability to problem solve and stay current with emerging ML trends.

Nice If You Have:

• Experience with full-stack development or deploying end-to-end ML applications.
• Experience with chatbot development or conversational AI.
• Experience fine-tuning large language models.
• Experience deploying ML solutions using MLOps pipelines.
• Knowledge of Agile workflows and tools such as JIRA.
• Previous CDC experience.
• Microsoft Azure AI Engineer Associate (AI-102), Azure Data Scientist Associate (DP-100), or similar AI/ML certifications.

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. Government client.