Job Description
Acuity Analytics
Acuity Analytics is a leading provider of bespoke research, analytics and technology solutions to the f services sector, including asset managers, corporate and investment banks, private equity and venture capital firms, hedge funds and consulting firms. Acuity is headquartered in London and operates from 16 locations worldwide.
We EMPOWER our clients to drive revenues higher. We INNOVATE using our proprietary technology and automation solutions. Finally, we enable our clients to TRANSFORM their operating model and cost base.
Job Title: Machine Learning Engineer
Location: Bengaluru, Karnataka
Designation: Assistant Director/ Associate Director
Experience : 10-15 years
Job Type: Full-Time
Job Description:
Job Responsibilities:
Building models using best in class ML technology.
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
Machine Learning Researcher or Data Scientist with Advance Python , OOPs concept
Graduate in Engineering, Technology along with good business skills
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Excellent understanding of machine learning techniques and algorithms including knowledge about LLM
Experience with NLP.
Generative AI ,AI
Good scripting and programming skills in Python
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, GGplot, etc.
Soft skills
Oral and written communication skills
Good problem solving and negotiation skills
Passion, curiosity, and attention to details
