AI/ML Engineer

Servsys Corporation is a Cisco Premier Partner specializing in Cloud, Advanced Data Center, Enterprise Networks, and Security Architectures. The company offers IT professional services, integration services, managed IT solutions, as well as IT staffing and augmentation services to complement its diverse business units. With headquarters in Dallas, TX, and a significant global presence in the US, UK, Canada, UAE, Mexico, and India, Servsys is well-equipped to support clients worldwide. Recognized by Inc. Magazine as one of America's fastest-growing private companies for seven years, Servsys has grown remarkably across its decade-long operations. Role Description This is a full-time role for an AI/ML engineer located in Irving, TX. As an AI/ML Engineer, you will be responsible for designing, developing, and deploying machine learning models, as well as building scalable data pipelines and integrating AI-driven capabilities into existing systems. The role requires a strong foundation in machine learning, data processing, and software engineering practices. Key Responsibilities Design, develop, and deploy machine learning models for real-world business use cases Work on data preprocessing, feature engineering, and model evaluation Build and maintain scalable data pipelines and workflows Integrate machine learning models into production systems and APIs Collaborate with data engineers, software developers, and product teams Monitor model performance and implement improvements over time Participate in code reviews, documentation, and best practice implementation Contribute to the overall architecture of AI/ML solutions Required Qualifications Strong programming experience in Python Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch Solid understanding of machine learning concepts (supervised/unsupervised learning, model evaluation, etc.) Experience working with data processing tools such as Pandas, NumPy, and SQL Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure Understanding of software development practices, including version control and testing Strong problem-solving skills and ability to work in a collaborative environment Preferred Qualifications Experience with data engineering tools such as Apache Spark, Airflow, or Snowflake Knowledge of MLOps practices, including model deployment and monitoring Experience building APIs or integrating models into production systems Exposure to Generative AI, LLMs, or NLP-based applications Experience working in Agile/Scrum environments Long-term opportunities with enterprise clients Remote or hybrid work options depending on project requirements Exposure to modern AI/ML technologies and large-scale systems Collaborative and fast-paced work environment J-18808-Ljbffr