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Senior Machine Learning Engineer / Data Scientist (m/f/d) Experience: 5 to 15 years Location: Karnataka - India; Maharashtra - India; Tamil Nadu - India Skills: Python, TensorFlow, PyTorch, Azure, AWS, langchain, promptflow, Snowflake, Spark, GitLab Company Overview We are seeking a highly skilled and motivated Senior Machine Learning Engineer / Data Scientist to join our team. The ideal candidate will possess a robust 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 7+ 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! .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.