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Salary
$18k – $47k per year (Estimated)
Location
In office (Hyderabad, Pune, Mumbai, Bengaluru)
Seniority
Middle · 4+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
SS&C Advent builds portfolio management, accounting and reporting software for asset managers, hedge funds and family offices. Its Geneva and APX systems track positions, performance and reconciliations across complex fund structures. Founded in San Francisco as Advent Software, the business was acquired by SS&C Technologies in 2015.

SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description

  • 4 - 7 years of hands-on experience in Machine Learning, Natural Language Processing, and Deep Learning model development.

  • Fluency in Python and main ML packages: PyTorch, Hugging Face Transformers, Scikit-Learn, Pandas, and NumPy.

  • Practical experience fine-tuning transformer-based architectures on proprietary enterprise domain data.

  • Solid working knowledge of document OCR processing tools (LayoutLM, Tesseract, PaddleOCR) and PDF parsing frameworks.

  • Rigorous understanding of model evaluation metrics, statistical sampling, and error analysis.

Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

Applications will be accepted on an ongoing basis until the position is filled.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

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