and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as … code tools like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on model architecture and data pipelines. Mentor junior engineers and collaborate with data scientists, ML engineers, and Software Engineering teams to ensure successful delivery of … PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWSLambda, Athena More ❯
L1/L2 scaling frameworks. Built or integrated custodial wallets, exchanges, or on/off-ramp processes. Experience with treasury, FX, reconciliation, or accounting systems. Familiarity with serverless architectures (AWSLambda). Worked on SaaS platforms operating 24/7 at large scale. Exposure to SOC2/SOX controls and audit-driven systems. You're a Great Fit More ❯
L1/L2 scaling frameworks. Built or integrated custodial wallets, exchanges, or on/off-ramp processes. Experience with treasury, FX, reconciliation, or accounting systems. Familiarity with serverless architectures (AWSLambda). Worked on SaaS platforms operating 24/7 at large scale. Exposure to SOC2/SOX controls and audit-driven systems. You're a Great Fit More ❯
3+ years of professional experience (A technical assessment will be required) Experience with Javascript, NodeJS, Express, Mongo Ability to create clean, modern, testable, well-documented code Serverless experience with AWSlambda or Azure functions Advanced English fluency, verbal and written Professional, empathic, team player Problem solver, proactive, go-getter Why Lumenalta is an amazing place to work at More ❯
3+ years of professional experience (A technical assessment will be required) Experience with Javascript, NodeJS, Express, Mongo Ability to create clean, modern, testable, well-documented code Serverless experience with AWSlambda or Azure functions Advanced English fluency, verbal and written Professional, empathic, team player Problem solver, proactive, go-getter Why Lumenalta is an amazing place to work at More ❯
