AI/ML Engineer
7 days ago
Role Overview :
We are seeking a highly skilled AI/ML Engineer to design, build, and deploy intelligent solutions for extracting, analysing, and interpreting financial data from annual reports and other structured/unstructured sources. You will play a pivotal role in advancing our AI-based financial data analysis software by developing machine learning models, natural language processing (NLP) pipelines, and scalable cloud-based solutions.
Required Skills & Qualifications :
- Strong expertise in Python (advanced) and R for data analysis and ML model development.
- Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
- Proficiency in Natural Language Processing (NLP), including entity extraction, document summarization, embeddings, and LLM-based fine-tuning.
- Familiarity with OCR tools (Amazon Textract, Tesseract, PyMuPDF, PDFPlumber).
- Cloud expertise in AWS (S3, Textract, SageMaker, Lambda, Step Functions) and Microsoft Azure ML services.
- Strong working knowledge of SQL databases (Microsoft SQL Server, PostgreSQL, MySQL), including stored procedures, query optimization, and indexing.
- Knowledge of SQL/NoSQL databases (MongoDB, Cassandra).
- Basic understanding of finance domain concepts, including financial statements (P&L, Balance Sheet, Cash Flow, Notes to Accounts).
- Skills in API development and integration (REST, FastAPI, Flask).
- Proficiency with version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes).
Preferred / Nice-to-Have Skills :
- Experience in large language models (LLMs) and prompt engineering for financial document analysis.
- Knowledge of time-series forecasting and financial ratio analysis models.
- Familiarity with MLOps frameworks for production-grade deployments.
- Background in statistical modelling, econometrics, or quantitative finance.
- Experience in automated data quality checks and anomaly detection.
Job Type: Full-time
Pay: From ₹35,000.00 per month
Benefits:
- Paid sick time
Experience:
- AI/ML: 2 years (Preferred)
Work Location: In person
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