Machine Learning Engineer 2

TELUS International AI Data Solutions logo

TELUS International AI Data Solutions

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Job Summary


Salary
₹91,667 - ₹125,000 / Monthly EST

Job Type
-

Seniority
Senior Mid

Years of Experience
Information not provided

Tech Stacks
Python Node.js JavaScript Azure Postman PyTorch Microsoft R SpaCy Kedro Drone API AWS TensorFlow

Job Description

Role - Machine Learning Engineer 2


Job Description

Telus International AI Data Solutions or TI AI for short, has been a global leader in data services since 2005. Listed on Feb 21 on the NYSE, TI now has a market cap of $10Million+. With Playment’s acquisition on July 21, we now have a combined strength in the video, images, and audio text labelling, serving the world’s top ML teams.

We’ve built a truly industry-agnostic platform to support the growing needs of our customers. Eg of our customer use cases - Automotive companies build self-driving capabilities, Agriculture companies for identify weeds & fruit picking, Insurance companies for claim processing & damage detection, Retail companies for shelf tracking, Drone/Satellite imagery for terrain analysis, E-commerce for cataloguing & visual object understanding etc.

Why is it important?

High-quality training data is quintessential to improving the precision of ML algorithms. Forbes lists ‘Autonomous Cars’ as one of the technology trends for the next decade and also estimates ML engineers spent 70% of their time in pre/post-processing & data management steps.


Companies need to build sophisticated tooling (supporting all forms of sensor data) and hire and manage hundreds of skilled people to ensure high-quality labelled data. Our autonomous driving customers estimate 1 hour of video data needs 800 man-hours of manual human work. Today, in the wake of the autonomous car industry only a few million km of data has been labelled, and 10x more will be collected before the world sees them on the road. Just as DevOps is critical to tech implementation, AI Ops will be a big challenge as AI development commercialises in the next 5-10 years. We aim to become an AI data platform, a critical part of the AI infrastructure stack.

Join us to witness & influence the unfolding of AI, which is the largest technology wave the world will ever see.



Responsibilities :


  1. Language Model Development: Utilise off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications, and collaborate with various stakeholders to design and develop state-of-the-art language models.
  2. Model Training and Evaluation: Train and fine-tune Large Language Models (LLMs) for specific NLP tasks using appropriate frameworks and tools. Possess strong logical thinking abilities to design and construct effective conversational flows, ensuring a seamless and intuitive user experience within the chatbot interactions.
  3. Research and Innovation: Stay up to date with the latest advancements in the fields of NLP, LLM and ML. Proactively identify opportunities to leverage new technologies for improved solutions.


Requirements:

  • Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or Linguistics
  • 2+ years of experience in applying large language and generative AI models, including transformers and GPT models.
  • Strong programming skills in scripting languages such as Python, NodeJS, R, JavaScript
  • Prior experience to apply Deep Learning, Natural Language Processing and LLM frameworks such LangChain, SpaCy, Facebook AI XLM/mBERT, OpenAI, Hugging Face, Cohere, TensorFlow, PyTorch etc.
  • Knowledge/experience in building Chatbots using bot platforms like Dialogflow, Microsoft Bot Framework, IBM Watson, Rasa etc.
  • Experience in working with cloud computing systems and services. For example, DocumentAI from GCP and IDP(Intelligent Document Processing) from AWS etc,.


Nice to have:

  • Master’s degree/ PhD in Computer Science, Engineering, Applied Mathematics, or Linguistics
  • Experience with ML explainability metrics
  • Knowledge in utilizing tools like Postman to streamline the testing and debugging process, ensuring smooth API integration and efficient development of robust bot solutions.
  • Proficiency in integrating chatbots with various channels (web, mobile or messaging platforms like WhatsApp, slack etc.).
  • Experience with AI tools/frameworks such as Kedro, SageMaker, and MLFlow preferred.


Benefits :

● Work with a world-class team working on a very forward-looking problem

● Competitive Pay

● Flat hierarchy

● Health insurance for the family


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