AI Engineer
At a glance
Mid-level AI Engineering role at Alstom. Bangalore.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Prepare data from varied sources, checking for bias and shaping training and validation around real operating conditions
- Build, document and maintain AI and machine learning models that automate work and improve operational efficiency
- Explore methods that make AI models more robust, explainable and trustworthy
- Show AI findings through prototypes, dashboards, presentations and reports that nontechnical audiences can follow
- Help software teams put AI solutions into production, and plan and deliver AI training sessions
What you bring
- You have a degree in AI, computer science or engineering, plus extensive AI or data science training and at least eight years of experience
- You bring strong Python skills, hands-on use of its data science libraries, and experience with Microsoft Azure
- You understand AI and machine learning methods, modern statistics, text or image processing, and LLM architectures
- You have built AI-based RAG applications and worked with generative AI frameworks such as HuggingFace or LlamaIndex
- You have delivered high-quality AI solutions with testing and debugging, and communicate fluently in English
Who this fits
This role suits an experienced AI practitioner who can explain technical findings clearly and work with domain experts, software teams and external partners. You should be comfortable collaborating with local and international colleagues.
From the employer
At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars.
Your future role
Define, develop, manage & sustain AI models to meet project/customer needs, by supporting data science and AI activities to:
- Collect, transform and explore data from disparate sources and combine them in a form suitable for model construction
- Identify biases or flaws in datasets and ensure that the training/validation design reflects actual operational needs
- Collaborate with domain experts to understand requirements, products specifics and data characteristics
- Design, build, document and maintain AI/ML models focused on automation and enhancement of operational efficiency to support business needs using a variety of techniques and tools
- Research new methods to improve robustness, explainability and trustworthiness of AI/ML algorithms
- Support showcasing of AI capabilities, convey complex ideas and illustrate findings to non-technical audiences through software prototypes, presentations, interactive dashboards, technical reports and consistent storytelling
- Work with external partners to evaluate opportunities from new mathematical approaches and AI technologies
- Provide support to software development teams for industrialization of AI solutions
- Participate in conference and events and actively contribute to the AI community through publications and projects
- Plan and execute AI training sessions
Performance measurements:
- Number/complexity of models compliant with requirements designed and delivered (with relevant contributors) to the catcher entity
- On Time Delivery (OTD)
- Developments Quality Cost Delivery (QCD)
All about you
-
Mandatory:
- Degree in artificial intelligence, computer science or engineering supplemented by extensive training in Data Science and AI or related disciplines(min 8 years of Exp)
- Excellent knowledge of Python programming
- Knowledge of fundamentals of modern statistics,text mining or image processing, NLI, NLP,NLU.
- Experience with Python data science stack (e.g. pandas, scikit-learn, Keras, NumPy, TensorFlow, PyTorch, openAI)
- Experience in Microsoft Azure cloud platform
- Strong knowledge of artificial intelligence & machine learning algorithms (e.g. classification, regression, dimensionality reduction, bayesian models, NLP, neural networks, deep learning etc…)
- Familiarity with LLMs architectures and models (e.g. BERT, GPT-4, Llama 2, Mistral, …)
- Experience working using Agile-based principles and tools
- Knowledge of Generative AI frameworks (e.g. HuggingFace, LlamaIndex)
- Experience in developing AI-based RAG applications
- Experience in cloud services e.g. PaaS and SaaS, Rest API, serverless functions
Desirable:
- Experience with Generative AI and LLMs for model fine tuning (SFT/Reinforcemnt learning)
- Familiarity with knowledge graphs data modelling and graph databases technologies
- Experience in developing AI-based Knowledge RAG applications
- Experience in developing safe and trustworthy AI-based applications
-
Competencies & Skills
- Proven track record in high-quality AI-oriented solutions, including implementation of testing strategies and debugging
- You are truly passionate about data science and AI, ready to take new challenges, you are proactive and possess strong organizational and planning skills, along with excellent communication and presentation capabilities
- Flexibility to work successfully with both local and remote / international teams
- Fluent English
Perspective candidates will be asked to present their previous work (if possible) to demonstrate their data science and AI proficiency levels
You don’t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you’ll be proud. If you’re up for the challenge, we’d love to hear from you!
Important to note
As a global business, we’re an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. We’re committed to creating an inclusive workplace for everyone.