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AI/ML Engineer/ Data Engineer with AI/ML

Jobs via Dice

Berkeley Heights · On-site Full-time 1mo ago

About the role

Job Summary

We are seeking a skilled AI/ML Engineer to design, develop, and deploy machine learning models and AI-driven solutions. The candidate will work closely with data engineers, analysts, and business stakeholders to build scalable intelligent systems and dashboards for data-driven decision-making.

Key Responsibilities

  • Design, develop, and deploy machine learning models (supervised/unsupervised)
  • Build and optimize data pipelines for ML model training and inference
  • Work on NLP, Computer Vision, and predictive analytics use cases
  • Integrate ML models into production using APIs and microservices
  • Perform data preprocessing, feature engineering, and model tuning
  • Develop dashboards and insights using Power BI
  • Collaborate with cross-functional teams to translate business needs into AI solutions
  • Monitor model performance and retrain models as required
  • Ensure scalability and performance of AI systems

Required Skills

  • Strong programming in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch)
  • Experience in Machine Learning, Deep Learning, and AI algorithms
  • Knowledge of data pipelines and ETL processes
  • Experience with Power BI (dashboarding, DAX, data visualization)
  • Strong SQL and database knowledge
  • Experience with REST APIs and microservices
  • Familiarity with cloud platforms (AWS/Azure/Google Cloud Platform)

Preferred Skills

  • Experience with MLOps tools (MLflow, Kubeflow)
  • Knowledge of big data technologies (Spark, Hadoop)
  • Exposure to data engineering concepts
  • Experience with real-time data processing

Skills

AWSAzureComputer VisionDAXData visualizationDeep LearningETLGoogle Cloud PlatformHadoopKubeflowMachine LearningMicroservicesMLflowNumPyPandasPower BIPredictive analyticsPythonREST APIsScikit-learnSparkSQLTensorFlowPyTorch

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