Job Description:Metas Solutions has an
"opening" for a talented
AI/Machine Learning Engineer. 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.
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
- Ability to exhibit strong communication and customer-facing skills
- Ability to thrive both independently and in cross-functional teams
- Ability to solve problems and stay current with emerging ML trends
Additional 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
Security Requirements:- Must be US Citizen and with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period
- Market competitive salary, commensurate with experience and education
- Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities
