Job Description
Dear Aspirant! We empower our people to stay resilient and relevant in a constantly changing world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you'd make a great addition to our vibrant international team.
We are looking for: Lead Software Engineer - (AI/ML - Timeseries)
Youll make an impact by:
- Design and deploy models for forecasting, anomaly detection, and sequence modeling.
- Apply ARIMA/SARIMA, Prophet, XGBoost, LSTM/GRU, and Transformer-based.
- Build real-time and batch pipelines using distributed systems (Kafka, Spark, Kinesis).
- Lead and guide the team members on design and development aspects.
- Develop feature engineering pipelines including lag features, seasonality, Fourier features, and missing data handling.
- Ensure scalability, reliability, and low-latency systems.
- Implement MLOps practices including monitoring, drift detection, and CI/CD.
- Deploy models in cloud and edge environments.
- Collaborate with cross-functional teams and mentor engineers.
Use your skills to move the world forward!
Bachelor's or Master's in Computer Science, AI, or related field.
Overall 10+ years' experience with 5+ years of AI/ML experience with time-series focus.
Strong expertise in forecasting, anomaly detection, and sequence models.
Proficiency in Python (Pandas, NumPy, Scikit-learn).
Experience with PyTorch or TensorFlow.
Experience building production ML systems.
Knowledge of distributed systems and feature engineering techniques.
This role is based in Bangalore, where you'll get the chance to work with teams impacting entire cities, countries - and the shape of things to come.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Siemens
Location(s): Bengaluru
Keyskills:
ml engineer
mlops
python
forecasting
ai
numpy
pandas
cloud
tensorflow
spark
kafka
design
pytorch
feature engineering
distributed systems
software engineer
data handling
ml