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Machine Learning Engineer

Machine Learning Engineer

Cisco

7 - 12 years

12 - 16 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

machine learning data preprocessing python ai llm cybersecurity deep learning r tensorflow nlp data science model evaluation 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 7+ 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 (eg
, 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 (eg, 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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Machine Learning Engineer