Data Scientist, Generative AI, LLM, Conversational Analytics

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Design and implement machine learning, NLP, and Generative AI solutions concentrating on conversational analytics and large language models.

• Create, develop, test, and refine prompts for Large Language Models utilizing conversational datasets.

• Assist in prompt training and evaluation tasks to enhance the accuracy, relevance, and consistency of AI-driven outputs.

• Construct scalable data pipelines for the ingestion, transformation, sampling, and processing of conversational and unstructured text data.

• Formulate sampling methodologies for high-volume conversational datasets, including sampling within and across conversations.

• Prepare and process conversational data for utilization in Athena Studio and related analytics workflows.

• Employ NLP and machine learning techniques for text understanding, classification, summarization, pattern recognition, and gaining conversational insights.

• Conduct data science analyses and experiments independently.

• Collaborate with teams in Data Science, Engineering, Analytics, and Product.

• Clearly communicate technical methods, results, and recommendations to both technical and non-technical stakeholders.

⛳️ Requirements

• A Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, or a related technical field, or equivalent practical experience.

• Over 5 years of relevant experience in Data Science, Machine Learning, Artificial Intelligence, NLP, or analytics engineering.

• Practical experience with Prompt Engineering and Large Language Models (LLMs).

• Experience in creating data pipelines, ETL/ELT workflows, or data processing pipelines for structured and unstructured datasets.

• Familiarity with conversational data, text analytics, customer interaction data, or other large-scale unstructured data sources.

• Proven proficiency in Python and SQL.

• Working knowledge of Pandas, NumPy, Scikit-learn, SpaCy, TensorFlow, PyTorch, LangChain, or LangGraph.

• Experience utilizing Athena Studio and AWS Athena for analytics or data processing workflows.

• Background in prompt training, prompt evaluation, LLM evaluation frameworks, or fine-tuning concepts.

• Experience in Natural Language Processing for text understanding, classification, summarization, recommendation/ranking systems, or conversational analytics.

• Familiarity with AWS S3, AWS Glue, SageMaker, Databricks, Vertex AI, or Kubeflow.

• Experience with embeddings, semantic search, vector databases, RAG patterns, or representation learning for unstructured data.

• Ability to effectively collaborate with geographically distributed teams across near-shore and offshore locations.

• Successful completion of employment verification and background checks, confirming job titles and dates of employment with two previous employers.

🏝️ Benefits

• Flexible working hours and options for hybrid/remote work.

• Opportunities for professional growth and development.

• A collaborative and inclusive work environment.

• The opportunity to work on impactful projects alongside a talented team.

• Competitive compensation in USD.

• Comprehensive hardware and software setup (mandatory).