Job description

Direct message the job poster from Turn2Partners Senior Associate, Information Technology Position Summary : Are you an AI/ML Engineer who loves building and implementing innovative solutions that create value at scale? If so, you may be the perfect fit for the Senior AI/ML Engineer role. In this role, you will collaborate with data scientists, engineers, and stakeholders to design, deploy, and operationalize state-of-the-art AI/ML systems. You’ll drive the innovation of MLOps platforms and processes for the full machine learning lifecycle—from model experimentation to CI/CD pipelines to model monitoring and retraining in production environments. You will leverage cloud AI/ML platforms, containerization, and automation tools to streamline AI/ML workflows. Additionally, you will optimize AI/ML solutions for performance, scalability, and cost, and serve models via microservices, APIs, and batch scoring pipelines integrated with data products and business applications. Primary Responsibilities: Collaborate with stakeholders and data scientists to translate business problems and requirements into ML solutions Engineer end-to-end AI/ML systems from prototyping to production deployment Design and implement AI/ML pipelines for data ingestion, transformation, model training, evaluation, and inference Choose and apply suitable ML algorithms and frameworks (e.g., TensorFlow, PyTorch, Keras) for model development Optimize model performance, accuracy, and fairness through techniques like hyperparameter tuning, error analysis, and model governance Deploy and serve models using REST APIs, serverless functions, or microservices Monitor and maintain AI/ML solutions using AI/MLOps best practices and tools Enhance model scalability, performance, and cost efficiency using cloud AI/ML platforms, containerization, and automation Build AI/MLOps discipline and practice Proficiency with common ML and data platforms such as AzureML, Amazon SageMaker, Databricks, and Snowflake Knowledge of AI/ML pipelines, AI/MLOps concepts, and tools Ability to build production-grade AI/ML solutions with scalability in mind Experience with MLOps tools and techniques to optimize ML lifecycle management Experience with ML metadata and artifact tracking platforms like MLflow Experience containerizing and deploying models to cloud platforms like Azure or AWS Understanding of model governance concepts such as model risk analysis, QA, compliance Experience with building ML technical architecture diagrams encompassing data, model building, and operations Experience operating end-to-end ML platforms supporting analytics and ML teams Experience assessing model technical debt, maintaining pipelines, and keeping systems up-to-date Experience with Python for analytics and ML applications Proficiency with common Python data analysis libraries like NumPy, Pandas, SciPy Experience with common Python ML libraries like Scikit-Learn, TensorFlow, PyTorch Experience with Jupyter Notebooks for ML experimentation and prototyping Ability to transition ML prototypes to production solutions Experience with Terraform for Infrastructure as Code (IaC) of ML infrastructure on Azure, AWS cloud platforms Strong problem-solving, analytical, and communication skills Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Staffing and Recruiting Herndon, VA $153,500 - $186,000 2 weeks ago #J-18808-Ljbffr Turn2Partners

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