Machine Learning Engineer at innovitusa

Hiring: W2 Candidates OnlyVisa: Open to any visa type with valid work authorization in the USA Job Description:We are seeking a Machine Learning Engineer to design build and deploy machine learning solutions that support high-impact business initiatives. You will collaborate with data engineers data scientists and software teams to implement end-to-end ML pipelines optimize model performance and deliver production-ready solutions. This role requires strong knowledge of ML algorithms data preprocessing model lifecycle management and cloud-based ML platforms. Responsibilities: Develop train and optimize machine learning and deep learning models Build automated ML pipelines for data ingestion training validation and deployment Deploy models into production using ML Ops best practices Monitor model performance retrain models and improve accuracy and reliability Work with data engineering teams to ensure high-quality well-structured datasets Perform feature engineering hyperparameter tuning and model evaluation Document modeling approaches assumptions outcomes and technical details Collaborate with software engineers to integrate ML into enterprise applications Required Skills: 4-10 years of machine learning engineering experience Strong Python programming skills (NumPy Pandas Sci-Kit Learn) Experience with TensorFlow PyTorch or Keras Strong SQL and data manipulation skills ML Ops tools: Kubeflow MLflow SageMaker or Vertex AI Experience with cloud platforms (AWS/GCP/Azure) Understanding of distributed computing and GPU-based processing Key Skills Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting Employment Type : Full Time Experience: years Vacancy: 1