Přeskočit na obsah Přeskočit na zápatí

Senior Machine Learning Engineer / Data Scientist (m/f/d)

ID pozice
494576
Zveřejněno od
11-Úno-2026
Organizace
Information Technology
Obor
Information Technology
Společnost
Siemens Technology and Services Private Limited
Úroveň zkušeností
S dlouholetou praxí v oboru
Typ pozice
Plný úvazek
Režim práce
Kombinovaně (vzdáleně/na pracovišti)
Druh smlouvy
Trvalý
Jakákoli Siemens lokalita v
  • Karnátaka - Indie
  • Maháráštra - Indie
  • Tamilnádu - Indie
We are seeking a highly skilled and motivated Senior Machine Learning Engineer / Data Scientist to join our team. The ideal candidate will possess a strong technical background in machine learning and data science, with strong experience in developing and deploying models in real-world production environments. This role requires an individual who works independently, takes ownership of projects, communicates effectively, and thrives in a collaborative team setting.
 
Your mission will be…
  • Solution Development: Design, develop, and implement end-to-end machine learning pipelines for various use cases to improve our internal Siemens processes.
  • Technical Leadership: Provide expertise in ML engineering best practices, including data preprocessing, model training, evaluation, deployment, and incorporating MLOps and LLMOps approaches for scalable and maintainable solutions.
  • Project Ownership and Management: Lead projects from conception to deployment, translating business requirements into scalable technical solutions, ensuring timely delivery and alignment with business objectives.
  • Collaboration: Work closely with an international team of diverse backgrounds, including engineers, product managers, and other stakeholders, to integrate AI solutions into existing systems.
  • Communication: Clearly articulate complex technical concepts to non-technical stakeholders and team members. Comfort with proactively raising concerns, suggesting alternatives, and engaging in constructive debate when appropriate
  • Mentorship: Mentor junior team members and contribute to the overall skill development within the team.
 
We are looking for someone with…
 
  • Education: Advanced degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Physics, or a related field.
  • Experience:
    • Preferred 5+ Years of Experience in machine learning engineering or data science roles.
    • Demonstrated ability to manage and deliver complex projects.
  • Technical Skills:
    • Strong Proficiency in programming languages such as Python.
    • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
    • Experience with cloud-native ML development (Azure, AWS).
    • Familiarity with large language models and natural language processing as well as experience with LLM frameworks (langchain, promptflow)
    • Proven ability to deliver end-to-end projects (i.e. from exploration to endpoint serving)
    • Knowledge of big data technologies (Snowflake, Spark).
    • Experience with data visualization tools and libraries.
    • Knowledge of software development best practices, including version control (e.g., GitLab) and collaborative coding.
  • Soft Skills:
    • Strong verbal and written communication skills:
    • Demonstrated ability to present ideas concisely and directly in international business contexts
    • Comfort with proactively raising concerns, suggesting alternatives, and engaging in constructive debate when appropriate
    • Experience bridging communication between global teams and navigating cultural differences in professional settings
    • Independent working style with a proactive approach to problem-solving.
    • High level of ownership and accountability for project outcomes.
    • Excellent teamwork and collaboration abilities.
    • Effective project management and organizational skills.
    • Fluent English required; German is beneficial but not mandatory
Please attach your CV in English. 
 
 
#Siemens 
 
Siemens is committed to creating a diverse environment and is glad to be an equal opportunity employer. We strongly encourage applications from a diverse talent pool!