Machine Learning Engineer

One of our staffing partners is looking for its tech consulting client a machine learning engineer Experience of 2-3 years. Not looking for senior programmers due to low paySalary offered $55-65k per yearDirect applicants only no c2c or company candidates due to low margins. The staffing company or client will reach directly to the applicants.You’ll be responsible for designing, developing, and deploying machine learning models while also building and maintaining the data infrastructure that powers them. This hybrid role is perfect for someone who thrives at the intersection of ML and data engineering.Build and optimize data pipelines for training and inference workflowsDevelop, train, and deploy machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learnCollaborate with data scientists, analysts, and product teams to define data requirements and model objectivesImplement model monitoring, versioning, and retraining strategiesEnsure data quality, lineage, and governance across ML pipelinesRequirements:Develop, train, and deploy ML models using frameworks like TensorFlow, PyTorch, Scikit-learn, or XGBoostLeverage MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI for model lifecycle managementProficiency in Python and SQL; experience with Spark, Airflow, or similar toolsStrong understanding of ML lifecycle, from data preprocessing to model deploymentExperience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)