MLOps engineer

Job Title: Senior Machine Learning Operations (MLOps) Engineer Location: Cincinnati OH Duration: Contract - 14 months Pay Range: $80/hr to $85/hr (W2) Job ID: 411247 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a senior MLOps engineer to design, build, and optimize scalable platforms and production ML systems. The ideal candidate will have strong experience with cloud-based ML operations, CI/CD for ML workloads, and collaboration across data science, data engineering, software engineering, and business stakeholders, with exposure to regulated industries such as financial services, banking, healthcare, insurance, or telecommunications. Responsibilities: * Design, develop, deploy, and manage production-grade ML solutions and platforms for development, training, validation, deployment, and monitoring. * Implement model versioning, experiment tracking, governance, and reproducibility for batch and real-time inference. * Build CI/CD/CT pipelines to automate testing, validation, deployment, rollback, and retraining with infrastructure-as-code practices. * Design and support enterprise feature stores and integrate ML with data warehouses, data lakes, and operational sources. * Develop scalable data pipelines for training and inference with a focus on data quality, lineage, and observability. * Implement monitoring for model performance, data quality, data and concept drift, feature drift, and system health with alerting and incident management. * Build low-latency scoring platforms and event-driven architectures to enable near real-time decisioning. * Establish MLOps governance, security, privacy, and compliance controls with auditability, explainability, and lineage tracking. * Collaborate with cross-functional partners, mentor junior engineers, and drive adoption of modern ML engineering practices. Required Skills & Qualifications: * 5+ years in ML Engineering, MLOps, Data Engineering, or Software Engineering, including 3+ years supporting production ML systems. * End-to-end ML lifecycle management, including deployment, orchestration, experiment tracking, versioning, monitoring, and automated retraining. * Cloud ML experience on AWS, Azure, or GCP with batch and real-time solutions and large-scale data. * Python and SQL proficiency. Java, Scala, or R preferred. * Data platforms: Snowflake, Databricks, IBM DB2 or similar RDBMS, and cloud data lakes/storage. * Data transformation: dbt, Spark, Pandas, PySpark. * DevOps and infrastructure: Git/GitHub/GitLab, Jenkins/GitHub Actions/Azure DevOps, Terraform or IaC, Linux, shell scripting. * Containers and orchestration: Docker, Kubernetes, OpenShift preferred. * Streaming and real-time: Apache Kafka, event-driven architectures, real-time inference pipelines. * Monitoring and observability: Prometheus, Grafana, ELK, or cloud-native solutions. Preferred Skills: * Enterprise fea