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AI Data Scientist

AI Data Scientist

Siemens

3 - 5 years

0 Lacs

bengaluru karnataka

Posted:3 days ago| Platform: Indeed logo

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Skills Required

ai data strategy siemens software design simulation portfolio creativity development rapidminer drive automate learning algorithms preprocess analyze extract reinforcement processing model training deployment testing monitoring scalability transparency analysis communication teamwork optimization solver visualization ml programming python spark git collaborative code management aws azure gcp storage certification dialogflow maintenance automation flexibility diversity

Work Mode

Remote

Job Type

Full Time

Job Description

Job ID

478947

Posted since

15-Oct-2025

Organization

Digital Industries

Field of work

Strategy

Company

Siemens Industry Software (India) Private Limited

Experience level

Experienced Professional

Job type

Full-time

Work mode

Hybrid (Remote/Office)

Employment type

Permanent

Location(s)

Bangalore - Karnataka - India
Pune - Maharashtra - India

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation - helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.

Siemens Digital Industries Software is seeking a skilled Data Scientist with expertise in Artificial Intelligence (AI), AI Agent development, and hands-on experience using RapidMiner to drive transformative insights from complex datasets. In this role, you will design, develop, and deploy AI-driven solutions and agents to optimize decision-making, enhance predictive capabilities, automate workflows, and unlock actionable insights with a focus on market and competitive intelligence. This position will work directly with US based peers.

Key Responsibilities:

Develop and implement predictive models, machine learning algorithms, and AI solutions, and AI agents to solve business challenges.
Clean, preprocess, and analyze large-scale datasets (structured and unstructured) to extract meaningful patterns.
Implement reinforcement learning (RL), natural language processing (NLP), and multi-agent systems to solve complex industrial challenges.
Translate business requirements into modular, reusable AI agent architectures.
Build end-to-end AI agent pipelines, including data ingestion, model training, validation, and deployment in production environments.
Conduct testing and performance monitoring of AI agents to ensure scalability and reliability.
Collaborate closely with software engineers, product managers, and business stakeholders to integrate AI solutions into products and operations.
Document methodologies, findings, and model performance comprehensively to ensure reproducibility, transparency, and knowledge sharing across the organization.

Qualifications:

Strong statistical analysis and problem-solving skills.
Ability to translate business requirements into technical solutions.
Excellent communication and teamwork skills.
Strong understanding of multi-agent systems, decision optimization, and autonomous learning.
Ability to design scalable, fault-tolerant AI architectures.
Innately curious, highly adaptable, and possessing strong intellectual curiosity with a continuous learning mindset.
Proactive problem-solver with a knack for identifying opportunities to leverage data and AI for business value.
Proven ability to present complex analytical findings clearly and concisely to both technical and non-technical stakeholders, utilizing data visualization tools.
Degree in Data Science, Computer Science, AI, or related field.
3-5+ years of experience in AI/ML model development and deployment.
Proven expertise in RapidMiner and/or similar solutions for data preparation, modeling, and automation.
Proficiency in programming languages (Python, R, SQL).
Experience with big data tools (Snowflake, Spark, Hadoop).
Familiarity with agent-based modeling tools (e.g., LangChain, AutoGen, RLlib).
Practical experience with version control systems (e.g., Git) for collaborative code development and model management.
Experience with cloud platforms (e.g., AWS, Azure, GCP) for data storage, processing, and model deployment.
Demonstrated experience in deploying and managing machine learning models in production environments (MLOps).
Preferred Qualifications: Experience with Mendix for low-code development and deploying AI-driven applications, Certification in RapidMiner or AI agent frameworks (e.g., Microsoft Autogen, Google Dialogflow), Background in industrial AI use cases (predictive maintenance, supply chain automation, digital twins).

Working at Siemens Digital Industries Software

Why us?

Working at Siemens Digital Industries Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Transform the everyday

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