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Machine Learning Engineer

5 months ago

chennai, India Giggso Full time

Company Description

Giggso is a No-Code ModelOps Observability platform founded in 2018. We provide a single integrated platform for data science, engineering teams, and business executives to consolidate, engage, and act on information from monitoring and observability. Our platform offers incident management, automation, remediation, and self-healing capabilities to support AI ML teams. Giggso is web 3.0 and blockchain-enabled, ensuring model risk management, audit, and security compliance. Our platform uses artificial intelligence to infuse vital intelligence into messages and drive decisions.


Role Description

This is a full-time hybrid role as a Machine Learning Engineer at Giggso. The Machine Learning Engineer will be responsible for day-to-day tasks related to pattern recognition, computer science, neural networks, statistics, and algorithms. This role is primarily based in Chennai but allows for some remote work.


Qualifications


  • Strong background in pattern recognition, computer science, and algorithms
  • At least 7 years of experience in data and ML is needed.
  • Strong data en

gineering background

  • Experience with neural networks and statistical analysis
  • Proficient in programming languages Python
  • Strong knowledge of NLP and GPT
  • Hands on working knowledge of Langchain, LLaMA index, Graph RAG, LoRA etc
  • Knowledge of machine learning frameworks and libraries (e.g. TensorFlow, PyTorch)
  • Experience with data preprocessing, feature engineering, and model evaluation
  • Excellent problem-solving and analytical skills
  • Ability to work independently and collaboratively in a team
  • Bachelor's degree in Computer Science, Statistics, or a related field, prefer Masters in Data science.


Relevant skills and qualifications that would be beneficial include experience with big data processing frameworks , natural language processing, and cloud computing platforms (e.g. AWS, Azure) prefer people with Oracle cloud experience l.