Job Description

Purpose
ML Engineer/ML Scientist is responsible to discover the information hidden in vast amounts of data and help us make smarter decisions to deliver better products. Your primary focus will be in applying machine learning techniques for data mining and statistical analysis, Text analytics using NLP/LLM and building high quality prediction systems integrated with our products.
Job Responsibilities:
Building models using best in class ML technology including LLMs.
Training/fine tuning models with new/modified training dataset.
Selecting features, building, and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Processing, cleansing, and verifying the integrity of data used for analysis
Enhancing data collection procedures to include information that is relevant for building analytic systems

Technical skills

Mandatory

5 to 10 years of experience as Machine Learning Engineer with strong Python skill.
Graduate in Engineering, Technology along with good business skills
Good scripting and programming skills in Python
Excellent understanding of machine learning techniques and algorithms including knowledge about LLM like GPT, Llama, Claude, or Anthropic models etc.
Experience with NLP.
Knowledge about applied statistics skills, such as distributions, statistical testing, regression, etc.
Basic understanding of NoSQL databases, such as MongoDB, Cassandra

Nice to have

Exposure to financial research domain
Experience with JIRA, Confluence
Understanding of scrum and Agile methodologies
Experience with data visualization tools, such as Grafana, power BI, GGplot, etc.
Soft skills
Oral and written communication skills
Good problem solving and negotiation skills
Passion, curiosity and attention to detail