Machine Learning Technical Specialist

Chester, MT - USA

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

Role: Technical Specialist - Machine Learning

Location: Chester PA (Onsite)

Duration: Contract

Job Description:

Experience: 5 years of experience in AI/ML development and Python-based solutions.

Domain: Telecom BSS & OSS domain and understanding of fixed mobile IoT & convergence domains and related markets
Business Systems (BSS)- Strong Experience in Designing E2E BSS Solutions across Sales Marketing Finance Product Management Care areas for CSPs.
Hands-on experience in major telecom industry B/OSS COTS (Amdocs Netcracker Comarch Ericsson etc.) is must.
Must have knowledge around TM Forum Standard Processes Experience in 5G Network architecture implementation or design thorough understanding of core concepts like network slicing
Programming Languages: Strong proficiency in Python (NumPy Pandas Scikit-learn PyTorch TensorFlow).
Generative AI Expertise: Hands-on experience with OpenAI LangChain Hugging Face Transformers or Llama Index.
Web Development: Working knowledge of Flask FastAPI or Django for backend application development.
ML Lifecycle: Experience in model training evaluation deployment and monitoring.
Data Engineering: Exposure to data ingestion preprocessing and visualization (SQL Pandas Power BI or Streamlit).
Cloud & MLOps: Familiarity with AWS Sagemaker Azure ML or GCP AI Platform; Git Docker CI/CD.

Preferred Qualifications:

Bachelors or Masters degree in Computer Science Data Science or related field.
Certification or specialization in AI/ML Deep Learning or Generative AI is a plus.
Familiarity with LLM fine-tuning RAG architecture and prompt engineering is an advantage.

Role: Technical Specialist - Machine Learning Location: Chester PA (Onsite) Duration: Contract Job Description: Experience: 5 years of experience in AI/ML development and Python-based solutions. Domain: Telecom BSS & OSS domain and understanding of fixed mobile IoT & convergence domains and ...