AI Engineer

Alstom Transportation

Bengaluru

On-site

INR 1,400,000 - 2,100,000

Full time

2 days ago
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Job summary

Alstom Transportation is seeking a senior AI/ML engineer to define, build and sustain AI models that enhance operational efficiency across projects. You will collect and transform data, collaborate with domain experts, and ensure models are robust, explainable and scalable using Python, TensorFlow, PyTorch and Azure cloud.

The role requires 8+ years in AI/ML with strong statistics, NLP basics and experience in Agile teams.

Qualifications

  • Degree in artificial intelligence, computer science or engineering with extensive data science/AI training and minimum 8 years of experience.
  • Excellent knowledge of Python programming.
  • Fundamentals of modern statistics, text mining or image processing, NLP/NLU.
  • Experience with Python data science stack (pandas, scikit-learn, Keras, NumPy, TensorFlow, PyTorch, OpenAI).
  • Experience in Microsoft Azure cloud platform and cloud services (PaaS/SaaS).
  • Strong knowledge of AI/ML algorithms (classification, regression, NLP, neural networks).
  • Familiarity with LLMs architectures (BERT, GPT-4, Llama 2).
  • Experience in Agile environments and Generative AI frameworks (HuggingFace).
  • Experience in developing AI-based RAG applications and cloud-native services.

Responsibilities

  • Define, develop and manage sustain AI models to meet project and customer needs.
  • Collect, transform and explore data from disparate sources for model construction.
  • Identify biases in datasets and ensure training/validation reflect operational needs.
  • Collaborate with domain experts to understand requirements and data characteristics.
  • Design, build, document and maintain AI/ML models for automation and efficiency.
  • Research methods to improve robustness, explainability and trustworthiness of AI algorithms.
  • Support showcasing capabilities to non-technical audiences via prototypes and reports.
  • Partner with external teams to evaluate new mathematical approaches and AI technologies.
  • Provide support to software teams for industrialization of AI solutions.
  • Participate in conferences and contribute to the AI community.
  • Plan and execute AI training sessions.

Skills

Python programming
Data science
AI/ML algorithms
NLP basics
Communication
Agile
English proficiency

Education

Degree in AI/CS/Engineering

Tools

Azure cloud
Pandas
scikit-learn
TensorFlow
PyTorch
OpenAI
REST API

Job description

Company: Alstom

Location: Bangalore

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

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