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Sr ML Engineer
Location: [Noida]
Experience: [6+ years]
Type: [Full-time]
Mandatory Skills - Python, NLP (SpaCy, Hugging Face, BERT, LLaMA), and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Responsibilities:
• Design and develop ML models to analyze brand reputation using social media, news, and external data feeds.
• Build data pipelines to ingest, clean, and process unstructured text from multiple sources (Twitter, Reddit, Google News, etc.).
• Develop sentiment analysis, topic modeling, and anomaly detection algorithms.
• Implement real-time dashboards for brand sentiment insights using visualization tools.
• Optimize and fine-tune NLP models for entity recognition and trend analysis.
Requirements:
• Strong experience with Python, NLP (SpaCy, Hugging Face, BERT, LLaMA), and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Expertise in web scraping, APIs (Twitter, Google News, RSS), and data engineering.
• Experience with vector databases (FAISS, Pinecone) & LLM-based text embeddings.
• Familiarity with cloud platforms (GCP or Azure) and big data processing (Spark, Kafka, Airflow).
• Knowledge of MLOps, model monitoring, and CI/CD for ML pipelines is a plus.
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Apply through this link
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processes for provider data management functions, enrollment and eligibility,
member benefits, claims adjudication and EDI Interfaces functions.
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enrolled.
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enrollment and eligibility rules.
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State defined guidelines.
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Medicaid and Medicare regulation.
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designs for enrollment to benefit plan configuration.
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department functions. Alter or create policies and procedures to adhere to those
rules.
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