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ML/Data Science Engineer

ML/Data Science Engineer

Siemens

1 - 5 years

8 - 12 Lacs

bengaluru

Posted:2 weeks ago| Platform:

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Skills Required

numpy sql python pandas story writing continuous integration scikit-learn ci/cd spacy git data science gcp spark requirement analysis ml natural language processing airflow microsoft azure power bi time series tableau aws flask opencv statistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

Hello Visionary!We empower our people to stay resilient and relevant in a constantly evolving world. Were 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 youd make a great addition to our vibrant team.We are looking for ML/Data Science Engineer.Before our software developers write even a single line of code, they have to understand what drives our customers. What is the environment? What is the user story based on? Implementation means- trying, testing, and improving outcomes until a final solution emerges. Knowledge means exchange- discussions with colleagues from all over the world.Join our Digitalization Technology and Services (DTS) team based in Bangalore.Youll make a difference by:Developing and delivering parts of a product, in accordance with the customers requirements and organizational quality norms. Activities to be performed include:

Requirement analysis and design of software solutions based on requirements and architectural /design guidelines.

Implementation of features and/or bug-fixing and delivering solutions in accordance with coding guidelines and on-time with high quality.

Identification and implementation of unit and integration tests to ensure solution addresses customer requirements, and quality, security requirements of product are met.

Performing code review and creation / support for relevant documentation (requirement/design/test specification).

Ensuring integration and submission of solution into software configuration management system, within committed delivery timelines.
Performing regular technical coordination / review with stake holders and ensuring timely reporting and escalations if any.Job Requirements/ Skills:

Translate ambiguous business problems into analytical/ML approaches; define success metrics and experiment design (A/B, DoE).

Explore & prepare dataprofiling, feature engineering, handling bias/leakage, data quality checks.

Build and validate models (supervised/unsupervised/time series/NLP/CV as relevant); compare baselines and SOTA methods.

Ship insights and/or modelsdashboards, notebooks, or production endpoints with proper monitoring.

Communicate results clearly to technical and non-technical stakeholders, document assumptions and limitations.

Contribute to data governance and reusable tooling (feature stores, evaluation frameworks).
Required qualifications

4"“7 years in data science/analytics/ML.

Proficiency in Python (pandas, NumPy, scikit-learn); SQL fluency for large datasets.

Solid statistics/experimental design (hypothesis testing, causal inference basics, confidence intervals).

Experience building and validating models end-to-end; familiarity with model evaluation and error analysis.

Strong storytellingability to translate findings into business recommendations.
Nice to have

Experience with one ofNLP (spaCy, Hugging Face), CV (OpenCV, TorchVision), Recommenders, Time Series (Prophet, statsmodels).

Familiarity with ML in production (FastAPI/Flask, model registries, feature stores).

Cloud & data stackAWS/GCP/Azure, Spark, dbt, Airflow; BI (Power BI/Tableau/Looker).

Version control & workflowsgit, CI/CD, experiment tracking (MLflow/Weights & Biases).
Create a better #TomorrowWithUs!This role is in Bangalore, where youll get the chance to work with teams impacting entire cities, countries- and the craft of things to come.

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ML/Data Science Engineer