Job Description
Our employees' passion for excellence, innovation, and customer satisfaction is our most-prized resource. If you share that passion — and want to be part of a company that leads the energy transition towards a cleaner and more resilient world for future generations — we invite you to join us!
ETAP is committed to creating a diverse work environment and is proud to be an Equal Opportunity Employer.
Job Title: Data Scientist
Location: on-site
Employment Type: Full-time
The Job
Key responsibilities- Build and deploy machine learning models for classification, regression, ranking, and recommendation tasks.-
- Develop and maintain reproducible workflows using Python, SQL, MLflow/W&B, and Azure ML.- Collaborate with engineering teams to deliver models as scalable APIs using FastAPI and Docker.- Monitor and evaluate models in production to detect drift, maintain quality, and ensure reliability.
Essential requirements- Strong programming skills in Python with proficiency in Pandas, NumPy, and scikit-learn.- Experience with SQL/NoSQL databases and data pipelines.- Hands-on knowledge of XGBoost / LightGBM for tabular modeling.- Experience with model deployment and tracking using Git, Docker, FastAPI, and Azure ML.- Solid understanding of evaluation metrics for classification, regression, and ranking.
Desired skills and competencies- Experience with PyTorch / TensorFlow, Optuna, and ONNX.- Exposure to Graph ML (PyTorch Geometric, DGL) or Generative AI workflows (embeddings, RAG, LangChain/LlamaIndex).- Strong communication skills, able to explain technical concepts to varied audiences.- Demonstrates curiosity to learn new methods, aspiration to push the limits of applied AI, impact through delivery of measurable results, and builds trust by working openly and collaboratively.
ETAP is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.
Come and join ETAP to create the transformative technology that enables our customers to engineer a better world.
ETAP is committed to creating a diverse work environment and is proud to be an Equal Opportunity Employer.
Job Title: Data Scientist
Location: on-site
Employment Type: Full-time
The Job
Key responsibilities- Build and deploy machine learning models for classification, regression, ranking, and recommendation tasks.-
- Develop and maintain reproducible workflows using Python, SQL, MLflow/W&B, and Azure ML.- Collaborate with engineering teams to deliver models as scalable APIs using FastAPI and Docker.- Monitor and evaluate models in production to detect drift, maintain quality, and ensure reliability.
Essential requirements- Strong programming skills in Python with proficiency in Pandas, NumPy, and scikit-learn.- Experience with SQL/NoSQL databases and data pipelines.- Hands-on knowledge of XGBoost / LightGBM for tabular modeling.- Experience with model deployment and tracking using Git, Docker, FastAPI, and Azure ML.- Solid understanding of evaluation metrics for classification, regression, and ranking.
Desired skills and competencies- Experience with PyTorch / TensorFlow, Optuna, and ONNX.- Exposure to Graph ML (PyTorch Geometric, DGL) or Generative AI workflows (embeddings, RAG, LangChain/LlamaIndex).- Strong communication skills, able to explain technical concepts to varied audiences.- Demonstrates curiosity to learn new methods, aspiration to push the limits of applied AI, impact through delivery of measurable results, and builds trust by working openly and collaboratively.
ETAP is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.
Come and join ETAP to create the transformative technology that enables our customers to engineer a better world.
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