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AI Researcher

AI Researcher

Cisco

8 - 13 years

15 - 19 Lacs

bengaluru

Posted:19 hours ago| Platform:

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Skills Required

transformers machine learning deep learning ml statistics chatbot algorithms emerging technologies python natural language processing algorithm development artificial intelligence tensorflow r data science pytorch statistical modeling

Work Mode

Work from Office

Job Type

Full Time

Job Description

Your Impact

You are an accomplished and visionary AI Researcher with a track record of leading teams and architecting machine learning solutions that have made a significant impact. You are deeply passionate about machine learning with a proven track record of optimally developing and implementing models that address real-world problems.

What You Will Do

Model Training & Evaluation: Full cycle of training, fine-tuning, and validating LLMs for virtual assistants, chatbots, and recommendation systems.
Algorithm Development: Enhance efficiency and accuracy in natural language understanding and generation.
LLMs in Cybersecurity: Apply models for threat analysis, detection, and automated security responses.
Deployment Strategy: Partner with engineering teams to ensure scalable, reliable ML model deployment.
Documentation & Standards: Define best practices and maintain clear records of models, pipelines, and metrics.
Innovation: Explore emerging technologies, tools, and methods in language model development.
Mentorship & Collaboration: Guide team members and work cross-functionally for cohesive project delivery.

Basic Qualifications

Education & Experience: BA/BS or MS with 8+ years in machine learning, proven project portfolio.
ML Systems & Algorithms: Strong background in ML engineering, deep learning, and statistical modeling; experience building scalable ML solutions.
LLM Expertise: In-depth knowledge of Transformer-based architectures (e.g., GPT) and training/fine-tuning large-scale models; exposure to Agentic frameworks.
NLP Skills: Data preprocessing (tokenization, stemming, lemmatization), handling ambiguity and context, and transfer learning for domain/language adaptation.
Applications: Applied LLMs in chatbots, content generation, semantic search, and related use cases.
Data & Evaluation: Skilled in data annotation strategies and model evaluation with appropriate metrics.
Scalability & Deployment: Experience deploying LLMs to production with efficiency, reliability, and scalability.

Preferred Qualifications:

Degree in Computer Science, Data Science, Statistics, Computational Linguistics or a related field.
Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., TensorFlow, PyTorch)
Excellent problem-solving and communication skills, with the ability to explain sophisticated concepts to non-technical partners
Proven experience to work collaboratively in multi-functional teams

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