Ai Engineer

Experteer Overview In this role you will design, build, and maintain AI-driven solutions that automate workflows and enhance reporting within Dow Jones’ B2B Risk and Research teams.You’ll work across the data science lifecycle, from data prep and model selection to proofs of concept and production pipelines.You’ll apply ML and NLP techniques to derive actionable insights and deliver tangible value.The position combines hands-on modeling with data engineering in a cloud environment, offering meaningful impact at scale.Compensaciones / Beneficios - Own the development, deployment, and maintenance of ML models and LLM-based solutions for automated workflows and reporting - Apply NLP and information retrieval to extract structured info from unstructured text - Build and maintain robust data pipelines for high-volume processing, enrichment, and model training using Python, SQL, and cloud services - Collaborate with business, product, and engineering teams to elicit requirements and translate problems into technical solutions - Utilize external APIs (including LLM APIs) for data enrichment and model integration; deploy in AWS and GCP - Ensure high standards for design, development, documentation, validation, versioning, and reproducibilityResponsabilidades - Bachelor’s or Master’s degree in a quantitative field - 3+ years of experience in data science or applied ML with focus on modeling and pipeline development - Strong Python programming skills and experience with ML libraries (scikit-learn, XGBoost, TensorFlow, PyTorch) - Experience with AI frameworks/SDKs (LangChain, LlamaIndex) and deploying AI agents - Proven ability to design, build, and deploy AI-driven automation - SQL proficiency and handling large datasets; version control (Git) and reproducible workflows - Cloud experience with AWS (S3, Glue, Lambda, Athena) and API integration with external data sources - Excellent communication and ability to translate technical concepts for non-technical audiencesRequisitos principales - Comprehensive healthcare plans - Extra paid time off - Remote work options - Meal benefit with Pluxee - Retirement plans with company match - Well-being resources

The position combines hands-on modeling with data engineering in a cloud environment, offering meaningful impact at scale.Compensaciones / Beneficios - Own the development, deployment, and maintenance of ML models and LLM-based solutions for automated workflows and reporting - Apply NLP and information retrieval to extract structured info from unstructured text - Build and maintain robust data pipelines for high-volume processing, enrichment, and model training using Python, SQL, and cloud services - Collaborate with business, product, and engineering teams to elicit requirements and translate problems into technical solutions - Utilize external APIs (including LLM APIs) for data enrichment and model integration; deploy in AWS and GCP - Ensure high standards for design, development, documentation, validation, versioning, and reproducibilityResponsabilidades - Bachelor’s or Master’s degree in a quantitative field - 3+ years of experience in data science or applied ML with focus on modeling and pipeline development - Strong Python programming skills and experience with ML libraries (scikit-learn, XGBoost, TensorFlow, PyTorch) - Experience with AI frameworks/SDKs (LangChain, LlamaIndex) and deploying AI agents - Proven ability to design, build, and deploy AI-driven automation - SQL proficiency and handling large datasets; version control (Git) and reproducible workflows - Cloud experience with AWS (S3, Glue, Lambda, Athena) and API integration with external data sources - Excellent communication and ability to translate technical concepts for non-technical audiencesRequisitos principales - Comprehensive healthcare plans - Extra paid time off - Remote work options - Meal benefit with Pluxee - Retirement plans with company match - Well-being resources