NLP Analyst

Role-NLP Analyst

• Location –Malvern PA
• Client-Vanguard
  
  

Qualifications

• Highly Skilled in Python + Conversational AI and familiarity with libraries and frameworks such as TensorFlow, PyTorch, Hugging Face Transformers
• Proven experience designing, developing, and implementing machine learning models with a focus on NLP and LLM applications
• Extensive experience with NLP techniques and tools such as tokenization, named entity recognition, sentiment analysis
• Experience with data preprocessing, feature engineering, and model training on large datasets
• Experience fine-tuning and optimizing LLMs such as GPT, BERT, or similar architectures
• Hands-on experience with LLMs like GPT, Llama, BERT or similar models
• Experience building & supporting AWS architecture and using AWS services
• At least 5 to 6 years of total experience and a minimum of 2 to 3 years of experience with the above skills
• Familiarity with Agile Development principles
• Experience with software engineering fundamentals including object-oriented design, data structures, dependency injection, testable code, and algorithms
• Experience with software engineering tools, such as Eclipse, Git, and others
  
  

Responsibilities:

• In this role, you will work within a full stack team alongside our Business Partners and Product Owner and an extremely motivated team of developers committed to working in an Agile environment
• You will help us in doing POCs to validate patterns proposed by our architecture and platform teams and help deploy AWS applications to production
• A passion for mentoring and coaching others is highly desirable
• You will also help upskill the department towards adopting cloud technologies by facilitating and participating in tech talks
• Ideal candidate will have a strong focus on delivering code that is observable, resilient, and secure
• Work within a full stack team to build next generation quantitative research platforms in the cloud
• Collaborate with Business Partners and Product Owner
• Conduct POCs to validate architectural patterns
• Deploy AWS applications to production
• Mentor and coach team members
• Facilitate tech talks to upskill the department on cloud technologies