onsite
AI Transformation Developer - Escalent
Software Engineer
Lead end‑to‑end AI initiatives, building scalable ML pipelines on AWS, transforming raw data into actionable insights, and driving business value through advanced analytics and NLP solutions.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade machine learning models using Python and AWS services (SageMaker, Lambda, Glue).
- Engineer robust data pipelines that ingest, clean, and transform large volumes of structured and unstructured data.
- Collaborate with data scientists and product teams to translate business requirements into technical solutions.
- Implement NLP techniques for text analytics, sentiment analysis, and automated content generation.
- Monitor model performance, conduct A/B testing, and iterate to improve accuracy and efficiency.
Requirements
- 3+ years of experience in AI/ML development with a strong Python foundation.
- Hands‑on expertise with AWS ML services and data engineering tools.
- Proficiency in building and deploying NLP models.
- Solid understanding of data architecture, ETL processes, and cloud security best practices.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonmachine learningawsnlp