Participate in development of end-to-end AI/ML projects—from research and design to deployment and ongoing maintenance—ensuring scalable, production-ready systems
Help implement robust ML pipelines and production-grade infrastructure to support high-volume workloads
Partner with cross-functional teams to integrate AI capabilities aligned with business goals and customer needs
Research and prototype novel AI/ML algorithms and techniques to drive innovation
Help establish best practices for AI/ML development, deployment, monitoring, and governance
Monitor model performance, scalability, and cost in production, and drive continuous optimization
Advocate for responsible AI—focusing on fairness, transparency, and data privacy

Requirements

Bachelor’s degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science/Engineering, or a related technical field
3+ years in technology or software development, with at least 1 year specializing in ML/AI and Data Science roles
Technical comprehension of Classical AI/ML algorithms, deep learning, Natural Language Understanding and Processing, Generative AI such as GPT and BERT, Large Language Model, LangChain and LangGraph
Proven track record developing and deploying scalable AI/ML systems and pipelines in production using AWS
Proficiency in Python and a working knowledge of JVM language/services
Proficiency in working with SQL and non-SQL data
Experience with at least one major ML framework (e.g., TensorFlow, PyTorch)
Practical experience taking models from prototype to production; familiarity with AWS SageMaker is a plus
Experience in MLOps and Machine Learning workflow orchestration
Excellent communication and interpersonal skills
Passion for staying current with AI research and applying novel techniques responsibly in production.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/MLMachine LearningDeep LearningNatural Language ProcessingGenerative AIPythonSQLTensorFlowPyTorchMLOps

Soft Skills

communicationinterpersonalcollaborationinnovationoptimizationadvocacyresponsibilitybest practicesmonitoringgovernance