IN: Hiring Range in INR from: 1,832,007 to 3,140,585 per annum.
Responsibilities
Implements and contributes to the development for components of distributed systems that support horizontal and vertical scaling including leveraging distributed state management tools
Optimizes code and/or systems for large-scale data processing in large-scale systems
Implements scalability requirements for assigned components and reviews implementation of team members
Leverages components of data plane platforms to handle large-scale data retrieval, storage, and processing
Contribute to computational biology research in a new lab, designing and conducting studies, developing machine learning models, and disseminating findings.
Compensation
The starting salary range (or hiring range) for this position has been established as: Entry Level: $53,631 to $68,219 Intermediate Level: $58,363 to $74,238
Responsibilities
Design, implement, tune, and evaluate machine learning models
Develop scripts to wrangle complex biomedical data
Integrate data from multiple sources to accelerate discoveries
Assist with the design and development of machine learning projects
Present research-in-progress at lab meetings, project meetings, and 1-on-1 meetings
Requirements
Bachelor’s degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Statistics, or a related field
Master’s degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Statistics, or a related field
Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.
Responsibilities
Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
Design new insurance products and features, and drive their rollout across new and existing states, sitting at the intersection of pricing strategy and product development.
Locations (3)
Chicago, Illinois, United States
St. Petersburg, Florida, United States
Ontario, Canada
Responsibilities
Design and develop new insurance products, rules, coverages, and enhancements that improve competitiveness and customer value
Lead state expansion efforts by building and launching pricing models for new states, and optimizing existing state models for performance
Own the research and proposal of new products, rules, coverages, and enhancements
Own the end-to-end rollout process, from initial pricing analysis through launch and post-launch monitoring
Leverage AI and machine learning tools to enhance pricing accuracy, uncover emerging risk patterns, and accelerate analytical workflows
The AI Developer Engineer is responsible for developing new AI applications and software including agentic AI applications, analytical solutions and pilot new ideas for deployment.
Compensation
Projected Salary Range: $121,000 to $151,000
20% Bonus opportunity + other incentives
Responsibilities
Design, build, and deploy production AI applications on Google Cloud Platform, applying machine learning and generative AI techniques to deliver solutions across merchandising, supply chain, store operations, finance, and customer experience.
Develop agentic AI applications using modern agent development kits and frameworks (e.g., Google Agent Development Kit, Gemini Agent Platform, LangGraph), including multi-agent workflows, tool integration, and human-in-the-loop checkpoints.
Build and operate retrieval-augmented generation (RAG) solutions that ground LLMs in Family Dollar's enterprise data, including ingestion, embeddings, vector and hybrid search, reranking, and evaluation.
Establish and maintain MLOps pipelines for AI workloads, including CI/CD, model and prompt versioning, evaluation harnesses, monitoring, cost controls, and rollback procedures.
Implement enterprise-grade guardrails for AI applications, including prompt injection defense, PII handling, content safety, role-based access controls, and audit logging - partnering closely with platform, security, infrastructure, and business stakeholders to ensure deployments meet Family Dollar's standards for identity, networking, data residency, and compliance.
Atuar na área de Compliance Riscos Financeiros, projetando, desenvolvendo, validando e implantando modelos estatísticos, algoritmos de Machine Learning e soluções baseadas em Inteligência Artificial para apoiar processos de Compliance e Gestão de Riscos Não Financeiros.
Responsibilities
Projetar, desenvolver, validar e implantar modelos estatísticos, algoritmos de Machine Learning e soluções baseadas em Inteligência Artificial para apoiar processos de Compliance e Gestão de Riscos Não Financeiros
Desenvolver indicadores preditivos e mecanismos de monitoramento contínuo, contribuindo para o fortalecimento da abordagem baseada em risco
Evoluir e aprimorar modelos analíticos existentes, garantindo aderência às necessidades do negócio, às melhores práticas de mercado e aos requisitos regulatórios
Apoiar revisões técnicas de modelos, códigos-fonte, pipelines e arquiteturas analíticas, assegurando qualidade e robustez das soluções
Disseminar boas práticas relacionadas à modelagem estatística, Machine Learning, MLOps, Inteligência Artificial e governança de modelos
Requirements
Formação superior em Estatística, Matemática, Ciência de Dados, Engenharia, Economia, Física, Computação ou áreas correlatas
Lead strategy, architecture, delivery, and operation of LPL's core data platforms, modernize books‑and‑records capabilities, and build an AI‑native organization focused on trusted, real‑time, agent‑ready data.
Compensation
Pay Range: $207,648.00 - $346,080.00
Responsibilities
Own the strategy, architecture, and delivery of real‑time, event‑driven books‑and‑records platforms
Lead AI‑driven ingestion, normalization, entity resolution, anomaly detection, and quality controls
Modernize security master and pricing capabilities
Build and govern semantic data products
Expose core data through secure, governed APIs and Model Context Protocol services
Senior Core Infrastructure EngineerNewOracle · Hyderabad, India
Information Science Professional (Open Rank)NewUniversity of Colorado · Aurora, US
Machine learning EngineerNewAdidev Technologies Inc · California City, US
Auto Product Development ManagerNewKin Insurance · Remote, US+2 more
AI DeveloperNewFamily Dollar · Chesapeake, US
Data Scientist III - ModelagemNewBANCO BRADESCO SA · Osasco, Brazil
SAR Remote Sensing EngineerNewHarmattan AI · Paris
Research Intern, Adversarial IntelligenceNewHorizon3 · Chicago, US+1 more
Senior Vice President, Head of Core Data TechnologyNewLPL Financial · New York, US