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Senior, Software Engineer - AI/ML…
- Insight Global (Bentonville, AR)
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Job Description
Chance to work on financial data for complex retail problems/challenges. Utilize Genai/LLM methods and architectures to build and deploy state-of-the-art forecasting systems. Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a diverse range of initiatives, including advanced time series forecasting, which provides actionable insights into trends and patterns, and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations.
Key Responsibilities:
Lead a high-performing team to build Genai, Agentic AI systems.
Build cross-functional partnerships to drive collaborative success.
Interface with users to collect requirement and feedback.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
Experience in productionizing Data Science, ML and Genai Models
Experience in designing scalable ML/Genai applications incorporating Data Pipelines, Model Training, Inferencing, Versioning and Monitoring.
Experience in cloud platforms such as GCP and Azure.
Experience in implementing CI/CD pipelines using Jenkins and Devsecops processes using Code Quality Inspection tools such as SonarQube and Synk.
Experience in creating Unit, End to End, Functional and Regression Testing Frameworks.
Experience in Backend development which includes API development using Fast API/Flask, Cache using Redis, Asynchronous Job processing using Celery, and Message Brokers using RabbitMQ/Kafka/Google Pub/Sub.
Experience containerizing application using Docker and Orchestration using Airflow and Kubernetes.
Hands-on experience with application monitoring and observability using Grafana, Prometheus, and Splunk to ensure reliability, performance, and proactive issue detection.
Practitioner of Agile (Scrum) Methodology. Experience in Front End technologies such as React.js
Experience with Big Data processing and feature engineering with spark.
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