Senior Machine Learning Engineer
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What if your ML models influenced decisions at massive global scale
A global, data-driven tech platform is hiring Machine Learning Engineers to work on high-impact problems involving data, experimentation, and production-grade ML systems — not just notebooks.
CTC offered: Upto 90 LPA
Job Responsibilities
Build Machine Learning models and data pipelines to deliver insightful yet practical solutions.
Seek high quality, reliable, and scalable solutions that deliver real value to eBay customers.
Collaborate with Management,Product Management and Applied Researchers in the team on
shaping the department's vision and roadmap.
Mentor more junior peers, as well as review their work and provide frequent feedback and
advice.
Promote engineering excellence and standards within the team.
Help interview and hire additional, exceptional teammates!
Minimum Qualifications
B.Sc / B.Tech / B.E. in Computer Science, SW engineering or equivalent field with 7+ years of
industrial experience in Applied Machine Learning and Data Engineering
Experience in Production-grade coding in Python.
Industrial experience in productizing ML-Based solutions including online inference.
Experience in Big Data processing frameworks, e.g. Hadoop, Spark / PySpark, SQL including
performance tuning.
Excellent verbal and written communication and collaboration skills
Thought leadership and mentoring skills
Additional Qualifications
Open-source tool building/commits to popular threads.
Experience in Language models and KG building
Job ID: 140242259
Skills:
Tensorflow, Pytorch, Gcp, MLops, Docker, Azure, Data Analytics, Python, Kubernetes, AWS, MLflow, Scikit-Learn, Kubeflow, Statistical Modeling
Skills:
Tensorflow, Machine Learning, Pytorch, Opencv, Ocr, Python, Computer Vision, Deep Learning, GenAI, LLMs, PIL
Skills:
Pyspark, Clustering, Pandas, Azure Synapse Analytics, XGBoost, Spark, Rest Apis, Azure Machine Learning, Python, Validation, Feature Engineering, LightGBM, Scikit-learn, Model Evaluation, Regression, Feature Selection, Time Series Forecasting, Classification, Model Performance Monitoring
Skills:
data engineering , probabilistic models , Sql, Deep Learning, Tensorflow, Pytorch, XGBoost, Python, LSTMs, scikit-learn, tree ensembles, LightGBM, time-series forecasting, CNNs, Transformers, CatBoost
Skills:
BigQuery, Google Cloud Platform, Kafka, Sql, Tensorflow, Pytorch, Spark, Keras, Python, retraining, CI CD, GitHub Actions, Automated training pipelines, experimentation, model monitoring
