Principal Machine Learning Solutions Architect
1 month ago
Accrualify India Pvt. Ltd is a leading technology company specialising in innovative financial software solutions to streamline and automate financial processes for businesses worldwide.
Job SummaryWe are seeking a highly skilled Senior ML Engineer to play a crucial role in analysing, interpreting and building machine learning models to drive informed business decisions.
Main Responsibilities- Data Analysis and Modelling
- Interpret and analyse complex datasets using statistical techniques to identify trends, patterns and insights.
- Develop and implement databases, data collection systems and data analytics strategies to optimise statistical efficiency and quality.
- Model Development and Deployment
- Own the project and the team under your supervision.
- Acquire data from primary and secondary sources to build models.
- Clean and filter data by reviewing computer reports, printouts and performance indicators to identify and correct code problems.
- Collaboration and Communication
- Collaborate with management to prioritise business and information needs.
- Identify and define new process improvement opportunities based on data analysis findings.
- Develop and present ongoing reports and dashboards to stakeholders, highlighting key insights and recommendations.
- Bachelor's degree in computer science, statistics, mathematics or a related field.
- Minimum of 5 years of proven working experience as an ML Engineer or Data Science Engineer, preferably in a technology or finance-related industry.
- Strong technical expertise in data models, database design development, data mining and segmentation techniques.
- Proficiency in reporting packages (e.g. Business Objects), databases (e.g. SQL) and programming languages (e.g. Python, R frameworks).
This is a full-time position with a competitive salary range of **₹1,500,000 - ₹2,500,000 per annum**, depending on experience and qualifications. The role offers a dynamic work environment with opportunities for professional growth and development. We value diversity and encourage candidates from all backgrounds to apply.
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