... product engineer, platform engineer, or ML-focused engineer . (We are not seeking candidates whose primary scope is CI/CD, infrastructure engineering, or pure data science.) Backend Excellence: Deep understanding of backend architecture, systems design, testing, and API development. Frontend experience is valuable but not ...
... https://jobeax.com/link/14Qmdq3bfUwAMhnn Skills & Experience Minimum 5 years of experience in technical recruiting across various technologies (software engineering, cloud, data, infrastructure, etc.). Exposure to AI, Machine Learning, or Data Science hiring is a strong advantage. Proficient with sourcing tools, LinkedIn Recruiter, and ...
... Bachelor’s degree in Engineering, Finance, Computer Science, or related field - 3-8 years of experience in data analysis, operations analytics, reporting, or data quality roles - Experience working with any general programming languages (python, c# etc.). - Knowledge of databases and experience working with relational databases ...
Company Description Circadian Communication & Analytics is a specialized agency focused on Behavioral Economics, Data Science, and innovative AdTech solutions for the healthcare industry. The company's mission is to elevate healthcare organizations through services in practice management, health marketing, innovation, business ...
... Establish monitoring, logging, and alerting standards for model and platform services to improve reliability, performance, and incident response.- Partner with data science, engineering, and security teams to productionize machine learning workloads with governance, repeatability, and compliance.- Define deployment standards ...
... assess, and onboard top-tier AI and computer vision engineering talent. Education/Qualification (if Any Certification) ~ Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, Data Science, or a related quantitative field. Requirements - 6+ years of practical software and AI/ML engineering ...
... AI, machine learning, AI safety, and responsible AI . WHAT MAKES YOU A GREAT FIT - 3+ years of professional experience in Machine Learning, AI/ML Engineering, Data Science, or a related field. - Strong hands-on experience with Machine Learning, LLMs, and SLMs . - Mandatory experience with LangChain and LangGraph . - Strong ...
... developments in AI, machine learning, LLMs, and intelligent automation . WHAT MAKES YOU A GREAT FIT - 5+ years of experience in AI/ML engineering, machine learning, data science, or a related technical field. - Strong programming skills in Python and experience building production-quality software. - Strong understanding of machine ...
... where necessary • Implement solutions aligned to global IT&D enterprise architecture frameworks The experience we're looking for 6-8+ years in business analysis, data science consulting or IT Management (with exposure to AI Product Management) • Proven experience in designing, deploying and adopting analytical tools within ...
... - Stata - Statistical analysis tools - Data manipulation and preparation tools - Data visualization tools Preferred Qualifications - MS or PhD in Statistics, Data Science, Mathematics, Biostatistics, or a related quantitative field. - Experience working with large, unstructured, or noisy datasets. - Experience across multiple ...
... Generation (RAG) pipelines, sophisticated multi-agent systems, and robust automated evaluation frameworks. The ideal candidate will bridge the gap between applied data science and rigorous software engineering, focusing on building scalable, secure, and cost-efficient AI-powered https://jobeax.com/link/Hg98pRiyAXIabPoY Responsibilities ...
... Generation (RAG) pipelines, sophisticated multi-agent systems, and robust automated evaluation frameworks. The ideal candidate will bridge the gap between applied data science and rigorous software engineering, focusing on building scalable, secure, and cost-efficient AI-powered https://jobeax.com/link/Hg98pRiyAXIabPoY Responsibilities ...
... Generation (RAG) pipelines, sophisticated multi-agent systems, and robust automated evaluation frameworks. The ideal candidate will bridge the gap between applied data science and rigorous software engineering, focusing on building scalable, secure, and cost-efficient AI-powered https://jobeax.com/link/Hg98pRiyAXIabPoY Responsibilities ...
... technical teams Understanding of manufacturing engineering systems (FMEA, SPC) and structured problem solving methods (such as DMAIC) Experiencee in standard data science and machine learning packages Have good understanding of the machine learning model stack (regression, classification, neural networks, time series) and ...
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is ...