Senior ML Engineer Lead – Bosch

Job Description

Looking for a highly skilled “Senior Machine Learning Engineering Lead” to oversee and drive machine learning initiatives focusing on time series analysis, process curve analysis, tabular data, and feature engineering. In this role, you will lead a team of engineers and data scientists, ensuring the effective delivery of machine learning solutions to customers. You will also be responsible for designing efficient workflows, building robust CI/CD pipelines, and handling client interactions to deliver high-quality solutions on time

Technical Skills:
Programming Languages: Proficiency in Python, R, or other relevant languages (e.g., Java, Scala).

Machine Learning Frameworks: Expertise in ML libraries like scikit-learn, TensorFlow, Keras, XGBoost, PyTorch, etc.

Time Series Analysis: Experience with time-series forecasting models (ARIMA, LSTM, Prophet, etc.) and anomaly detection.

Data Engineering: Expertise in working with large-scale datasets and tools like Pandas, NumPy, SQL, and data wrangling techniques.

Feature Engineering: Strong skills in creating meaningful features to improve model accuracy and performance.

CI/CD Tools: Experience with CI/CD tools like Jenkins, GitLab, CircleCI, or similar platforms for automating deployment workflows.

Cloud Platforms: Experience with cloud computing services like AWS, GCP, or Azure for model deployment and scalability.

Version Control: Proficient in using Git for version control and collaboration.

Experience: 8 – 12 years