AI/ML Engineer

Location: Plano, Texas
Experience: 10+ Years

Position Overview

We are seeking an experienced AI/ML Engineer with 10+ years of industry experience in designing, developing, and deploying scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong expertise in machine learning algorithms, deep learning frameworks, data engineering, MLOps, cloud platforms, and production-grade AI systems. This role requires collaboration with cross-functional teams to deliver innovative AI-driven solutions that support business objectives.

Key Responsibilities

• Design, develop, and deploy scalable Machine Learning and AI models for enterprise applications.
• Build and optimize predictive models, recommendation systems, NLP solutions, and deep learning architectures.
• Develop end-to-end ML pipelines including data ingestion, preprocessing, feature engineering, model training, evaluation, deployment, and monitoring.
• Work with large-scale structured and unstructured datasets using distributed computing technologies.
• Implement MLOps practices for CI/CD, model versioning, monitoring, retraining, and governance.
• Collaborate with data engineers, software developers, product managers, and business stakeholders to define AI/ML solutions.
• Optimize model performance, scalability, reliability, and latency in production environments.
• Utilize cloud platforms such as AWS, Azure, or Google Cloud Platform for AI/ML workloads and deployments.
• Develop APIs and microservices for ML model integration into enterprise systems.
• Conduct experimentation, model tuning, A/B testing, and performance evaluation.
• Ensure compliance with data security, privacy, and responsible AI standards.
• Mentor junior engineers and contribute to AI/ML best practices and technical leadership initiatives.
• Stay updated with emerging AI/ML technologies, frameworks, and industry trends.

Required Skills & Qualifications

• 10+ years of experience in Software Engineering, Data Science, AI/ML Engineering, or related fields.
• Strong expertise in Machine Learning, Deep Learning, NLP, Computer Vision, or Generative AI technologies.
• Proficiency in Python, Java, or Scala.
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, or XGBoost.
• Experience with Generative AI, LLMs, Prompt Engineering, RAG architectures, LangChain, or vector databases.
• Strong knowledge of MLOps tools such as MLflow, Kubeflow, Airflow, Docker, Kubernetes, or Jenkins.
• Experience with cloud platforms: AWS, Microsoft Azure, or Google Cloud Platform.
• Strong SQL and NoSQL database experience.
• Experience with big data technologies such as Spark, Hadoop, or Kafka.
• Knowledge of REST APIs, microservices architecture, and containerization technologies.
• Familiarity with model deployment and monitoring tools.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work in Agile/Scrum development environments.

Preferred Qualifications

• Experience with Generative AI platforms and LLM integration.
• Knowledge of AI ethics, governance, and responsible AI practices.
• Experience in enterprise-scale AI implementations.
• Exposure to DevOps and CI/CD automation processes.
• Relevant certifications in AI/ML or Cloud technologies are a plus.

Educational Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or related field.
• Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, or a related discipline preferred.