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AI/ML Engineer
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The opportunity:
As an AI/ML Engineer, you will be part of Operation Center, India (INOPC-PG), aiming to develop a global value chain, where key business activities, resources, and expertise are shared across geographic boundaries to optimize value for Hitachi Energy customers across markets. As part of Transformers BU, we provide high-quality engineering and Technology to Hitachi Energy world. This is an important step from Hitachi Energy's Global Footprint strategy.
How you'll make an impact:
A technically skilled and multidisciplinary professional to support the development, deployment, and scaling of an end-to-end analytical solution for monitoring and optimizing the Vapor Phase Drying (VPD) process in transformer manufacturing.
The candidate will work across software development, machine learning, data pipelines, and work with experts in dashboard design and machine learning.
Strong proficiency in Python including modular scripting, virtual environments, and key libraries (pandas, numpy, scikit-learn, pyarrow, seaborn, plotly, MLflow).
Solid understanding of Git version control and collaborative development. Basic Docker containerization knowledge.
Experience with Windows/Linux environments and cloud cluster configuration. Hands-on experience with Azure Data Explorer (Kusto) and Hive Metastore.
Understanding of ETL pipelines and data workflow orchestration. Proficiency in SQL/NoSQL database systems and data access patterns. Statistical analysis and hypothesis testing fundamentals Azure Cloud Ecosystem.
Azure Machine Learning Service for model development and deployment. Azure Databricks for big data processing (basic usage). Azure DevOps for CI/CD pipeline implementation.
Azure Data Factory for data pipeline creation and management. Experience training and validating ML models including Random Forest, Logistic Regression, KNN.
Specialized knowledge in Time Series Forecasting Models (AR, ARMA, ARIMA, Matrix Profile, Prophet).
Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.
Living Hitachi Energy's core values of safety and integrity, which means taking responsibility for your own actions while caring for yourcolleagues and the business.
Your background:
Bachelor's degree in computer science, Data Science, AI/ML, or related discipline and at least 3-5 years of related working experience.
2-3 years in Machine Learning or Data Science roles. At least 2 end-to-end ML projects successfully deployed in production.
Experience with cloud platforms, preferably Azure. Track record of working with industrial or IoT sensor data. Understanding of ethical considerations in AI.
Ability to collaborate effectively across R&D, IT, production, and business teams. Clear technical communication and comprehensive documentation skills.
Proactive problem-solving and process optimization approach.
Strong analytical thinking and systematic troubleshooting abilities.
Proficiency in both spoken & written English language is required.
Hitachi Energy is a global technology leader that is advancing a sustainable energy future for all. We serve customers in the utility, industry and infrastructure sectors with innovative solutions and services across the value chain. Together with customers and partners, we pioneer technologies and enable the digital transformation required to accelerate the energy transition towards a carbon-neutral future. We are advancing the world's energy system to become more sustainable, flexible and secure whilst balancing social, environmental and economic value. Hitachi Energy has a proven track record and unparalleled installed base in more than 140 countries. Headquartered in Switzerland, we employ around 40,000 people in 90 countries and generate business volumes of approximately $10 billion USD. www.hitachienergy.com
Job ID: 153484425
Skills:
Pytorch, Docker, Ffmpeg, Opencv, FastAPI, Python, GPU inference, Failure Analysis, model training, evaluation protocols
Skills:
probability , Logistic Regression, Data Structures, Data Cleansing, Sql, Random Forest, Numpy, Algorithms, Pandas, XGBoost, Linear Regression, Machine Learning Algorithms, Python, Train-test strategies, Transformation, Feature Engineering, Scikit-learn, Statistics, Gradient Boosting, Hyperparameter Tuning, Cross-validation, Model Validation Techniques, Tree-based models
Skills:
prophet , Azure Data Factory, Sql, Seaborn, Pandas, Numpy, Azure Databricks, AR, Nosql, Git, Azure DevOps, Knn, Random Forest, Python, Arima, Docker, Logistic Regression, Azure Data Explorer, plotly, Time Series Forecasting Models, ARMA, scikit-learn, Hive Metastore, Matrix Profile, MLflow, pyarrow, Azure Machine Learning Service, Kusto
Skills:
Tensorflow, Spark, Kafka, Machine Learning, MLops, Deep Learning, Pytorch, Kubernetes, Python, XGBoost, Docker, Nlp, scikit-learn, ONNX, Airflow, MLflow, AI model optimization, anomaly detection, time series forecasting, Cv, Recommendation systems, TensorFlow Serving
Skills:
Tensorflow, Performance Tuning, Opencv, Rest Apis, Deep Learning, Ocr, Pytorch, Machine Learning Algorithms, Google Cloud, AWS, Python, Azure, Docker, Generative AI, LLMs, feature engineering, data preprocessing, Tracking, parallelization, multimodal models, RAG, YOLO, Segmentation, ML Ops, GPU optimization, TensorRT, ONNX, distributed low-latency data pipelines, RTSP streaming video pipelines, Classification, detection, multi-object detection
