
AI/ML Engineer
3 weeks ago
AI-Powered Web Scraping
• Develop, maintain, and optimize automated web scraping pipelines using AI/ML
techniques to handle dynamic and JavaScript-heavy websites.
• Apply anti-bot bypass strategies and proxy rotation for uninterrupted data
collection.
• Integrate NLP and computer vision models to extract data from unstructured
content such as PDFs, images, and chat logs.
LLM Deployment & Use Case Customization
• Fine-tune, deploy, and maintain LLMs for domain-specific applications including
summarization, classification, and data transformation.
• Implement retrieval-augmented generation (RAG) pipelines for highperformance, production-grade AI solutions.
Data Extraction & Processing
• Design and execute ETL workflows to extract, clean, and structure large datasets
from multiple sources.
• Utilize AI/ML techniques to enhance extraction accuracy, including handling noisy,
incomplete, or multilingual datasetMastery
• Use advanced Excel functions, VBA, and Power Query for cleaning, transforming,
and visualizing datasets.
• Automate Excel-based reporting and integrate with AI pipelines for real-time
updates.
Collaboration & Documentation
• Work closely with data analysts, software engineers, and product managers to
translate requirements into AI-powered solutions.
• Maintain detailed documentation of workflows, data schemas, and operational
processes.
EXPERIENCE & SKILLS REQUIRED
• Strong expertise in Python (Pandas, BeautifulSoup, Selenium, Playwright, Scrapy,
Requests).
• Experience with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face
Transformers, LangChain).
• Proven track record in deploying LLMs for real-world applications.
• Proficiency in web scraping best practices, anti-bot bypass methods, and proxy
management.
• Advanced Excel knowledge (PivotTables, Power Query, Power Pivot, VBA
automation).
• Familiarity with SQL and NoSQL databases, and cloud platforms (AWS, Azure, GCP).
• Strong understanding of ETL pipelines and data cleaning strategies.
• Excellent problem-solving and attention to detail.
Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or
a related field.
• Experience in OCR-based data extraction (Tesseract, EasyOCR).
• Knowledge of API integration and AI-assisted data aggregation tools.
• Understanding of data privacy regulations (GDPR, CCPA) and ethical AI practices.
• Experience with BI tools such as Power BI or Tableau.
Benefits:
- Competitive salary package.
- Health insurance coverage.
- Opportunities for professional growth and development.
Job Types: Full-time, Permanent
Pay: ₹177, ₹307,202.10 per year
Benefits:
- Provident Fund
Experience:
- AI Development : 3 years (Required)
- ML Engineer : 1 year (Preferred)
Language:
- English (Required)
Shift availability:
- Night Shift (Required)
Work Location: In person
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