AI Developer

Key Responsibilities:

• Design & implement AI/NLP models for:
• Backlink opportunity discovery (topic/content matching, site relevance, anchor text suggestions)
• Resume and CV parsing (entity extraction, skill matching)
• Semantic search, embedding-based matching across both content and candidate use cases.
• Automated role-based assessments: coding, MCQ, and behavioral. Human behavior & sentiment communication analysis for technical interviews.
• Spoken language proficiency evaluation & communication analysis.
• Develop Python-based data pipelines to preprocess, train, validate, and serve models.
• Integrate models with search & indexing systems (like OpenSearch / Elasticsearch) for fast retrieval, ranking, and filtering.
• Build & maintain REST APIs / microservices to expose functionality: resume extraction, link opportunity search, candidate matching etc.
• Work with backend frameworks (FastAPI, Flask, Django) to support scalable AI deployments.
• Manage and optimize databases (PostgreSQL, MySQL, MongoDB, or other NoSQL/graph DBs).
• Optimize large-scale queries, indexing, and similarity search.
• Optimize large-scale queries, indexing, similarity search and performance across both platforms.
• Collaborate with product / engineering teams to ensure AI solutions align with business goals, user workflows, and quality metrics.
• Research and apply modern NLP and AI techniques such as Transformers, embeddings, topic modeling, LLMs, and unsupervised/semi-supervised learning.

Required Qualifications:

• Proficiency in Python and ML / NLP libraries: pandas, scikit-learn, spaCy, HuggingFace / transformers.
• Experience with OpenSearch / Elasticsearch (or similar) for search, ranking, indexing.
• Experience in content analysis / web content scraping / topic matching / SEO metrics (site relevance, domain authority etc).
• Experience with resume/CV parsing or information extraction.
• Solid understanding of embeddings, semantic similarity, named entity recognition, topic modeling.
• Experience building REST APIs / microservices.
• Containerization and deployment experience (Docker etc).
• Strong analytical, performance-oriented, problem solving skills.

Preferred Qualifications:

• Familiarity with LLMs (GPT, BERT etc.), and ability to adapt them for domain-specific tasks.
• Strong backend development skills in FastAPI, Flask, or Django.
• Experience with databases: PostgreSQL, MySQL, MongoDB (NoSQL), or graph DBs.
• Cloud experience (AWS, GCP, or Azure) for scalable training/inference.
• Prior experience in link building , content matching.
• Experience in recruitment tech, HR analytics, candidate matching or job-market platforms.
• Experience in unsupervised learning / topic modeling / large scale content pipelines.