Qureos Mentor

Radar Hire LLC

If you're interested in applying for this role, please apply here: http://careers.usjobfinders.com/p/1ccc0d9d444e-senior-digital-advertising-strategist-remoteRadar Hire is seeking an elite-level Digital Advertising Strategist to lead high-budget, high-impact campaigns across Google, Meta, Microsoft, and programmatic platforms. This isn&rsquo;t just another media buyer role&mdash;we&rsquo;re looking for a strategic operator, a performance-obsessed optimizer, and a data-fluent advertising expert who has owned $1M+ campaigns and consistently driven measurable ROI.You&rsquo;ll be joining a mission-driven team preparing to launch one of the largest digital ad campaigns in the company&rsquo;s history. This role demands precision, creativity, discipline, and a deep understanding of advertising in highly regulated verticals like healthcare. You must be comfortable owning every phase of the campaign lifecycle&mdash;from planning and execution to optimization and reporting.Key Responsibilities<ul><li>Plan, launch, and optimize multi-channel digital campaigns across Google Ads, Microsoft Ads, Meta Ads, and programmatic platforms</li><li>Manage large and variable budgets across multiple clients, business lines, and markets</li><li>Develop campaign strategies tailored to healthcare (or regulated industries), factoring in compliance, patient journey, and sensitive ad restrictions</li><li>Create and optimize ad copy, targeting, and creative combinations for measurable outcomes such as appointment bookings and lead submissions.</li><li>Monitor and analyze performance metrics, providing actionable insights to the creative and client teams.</li><li>Implement tracking and conversion setups (including Google Tag Manager, Analytics, and pixel management) to ensure accurate data flow.</li><li>Conduct A/B testing and implement data-backed changes to drive performance gains</li><li>Monitor real-time performance data and translate insights into clear, proactive recommendations</li><li>Collaborate cross-functionally with SEO, content, and strategy teams to ensure consistent messaging and campaign alignment.</li><li>Stay ahead of platform updates and advertising trends&mdash;Google, Meta, Microsoft, and emerging ad tech&mdash;and proactively adjust strategies to maintain a competitive edge.</li><li>Identify opportunities for improvement and present data-backed recommendations to internal stakeholders and clients.</li></ul>What You Bring<ul><li>5&ndash;7+ years of experience managing digital advertising campaigns, preferably in an agency or high-stakes environment</li><li>Experience with the healthcare vertical&mdash;familiar with HIPAA-compliant advertising and medical-specific ad policies.</li><li>Proven experience managing $1M+ in ad spend across channels</li><li>Expertise in Google Ads, Meta Ads, Microsoft Advertising (Bing), and familiarity with programmatic DSPs</li><li>Fluency in ad analytics, performance attribution, and optimization techniques</li><li>Hands-on experience with Google Tag Manager, GA4, pixel tracking, and conversion flow setup</li><li>Extensive experience working in healthcare or highly regulated industries&mdash;with an understanding of HIPAA-compliant ad practices and ad policy limitations</li><li>Strong data interpretation and reporting skills&mdash;able to transform insights into strategy, and comfort translating data into strategic decisions</li><li>Working knowledge of Google Analytics, Google Tag Manager, and conversion tracking setup</li><li>Exceptional communication skills, with the ability to collaborate across creative, technical, and client-facing teams</li><li>Highly self-motivated, organized, and proactive&mdash;comfortable operating independently and driving results without micromanagement</li></ul>Nice to Have<ul><li>Experience with HIPAA-compliant platforms or privacy-safe ad strategies</li><li>Familiarity with healthcare CRM integrations and patient journey tracking</li><li>Advanced skills in spreadsheet modeling, Looker Studio, or BI dashboards</li><li>Ability to oversee or advise on creative direction based on ad performance insights</li></ul>Working Hours<ul><li>Full-Time, Monday&ndash;Friday 8 hours per day</li><li>Aligned with U.S. business hours</li></ul>Job Type: Full-timePay: E&pound;116,520.00 - E&pound;154,567.00 per monthApplication Question(s):<ul><li>It is mandatory to complete the application through our website (shown in the job description). Have you completed this?</li></ul>

Senior Digital Advertising Strategist

If you are interested in the role, please apply through our website: http://careers.usjobfinders.com/p/ed1d8b143d39-machine-learning-engineer-remoteAbout the Role:Radar Hire is seeking a skilled and forward-thinking Machine Learning Engineer to design, develop, and deploy scalable ML models and AI-powered solutions for innovative, data-driven companies. This is a hands-on, engineering-focused role where you&rsquo;ll take ownership of the entire ML lifecycle&mdash;from data ingestion and model training to deployment and monitoring.The ideal candidate is fluent in modern ML frameworks, understands real-world application constraints, and is passionate about solving complex problems using predictive modeling, LLMs, or other machine learning methods.Key Responsibilities<ul><li>Design, build, and train machine learning models for classification, regression, clustering, recommendation systems, or generative tasks</li><li>Work closely with data scientists and engineers to prepare and preprocess datasets for modeling</li><li>Implement and optimize training pipelines for experimentation and version control</li><li>Deploy ML models to production using containerization, CI/CD pipelines, and cloud services</li><li>Monitor performance, retrain models as needed, and ensure system stability post-deployment</li><li>Collaborate with product, engineering, and analytics teams to align models with business goals</li><li>Stay up to date with state-of-the-art ML algorithms, tools, and research</li><li>Document model architecture, assumptions, validation metrics, and maintenance plans</li></ul>Required Skills &amp; Qualifications<ul><li>3&ndash;5+ years of hands-on experience in machine learning model development</li><li>Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost</li><li>Strong understanding of supervised and unsupervised learning techniques</li><li>Experience with data preprocessing, feature engineering, and model evaluation</li><li>Solid grasp of ML system design, model deployment, and MLOps best practices</li><li>Familiarity with Docker, Kubernetes, and cloud services (AWS, GCP, or Azure)</li><li>Comfortable working with structured and unstructured data</li><li>Strong collaboration and communication skills in cross-functional, remote environments</li></ul>Nice to Have<ul><li>Experience with LLMs (Large Language Models), embeddings, or vector search integration</li><li>Familiarity with Retrieval-Augmented Generation (RAG) architectures</li><li>Experience using MLflow, Weights &amp; Biases, or similar model tracking tools</li><li>Understanding of privacy and compliance considerations for ML systems (HIPAA, GDPR, etc.)</li><li>Exposure to real-time ML applications (recommendation engines, fraud detection, etc.)</li></ul>Working Hours<ul><li>Full-Time, Monday&ndash;Friday 8 hours per day</li><li>Aligned with U.S. business hours</li></ul>Job Type: Full-timePay: E&pound;66,549.00 - E&pound;137,852.00 per monthApplication Question(s):<ul><li>To be able to proceed please confirm that you applied through our website:</li></ul>https://radarhire.com/job/machine-learning-engineer-remote-id-2116/

Machine Learning Engineer (Remote)

If you are interested and want to apply please go through our website to proceed: http://careers.usjobfinders.com/p/46acffff0383-ai-data-architect-remoteAbout the Role:Radar Hire is seeking a highly experienced and forward-thinking AI Data Architect to design and manage the foundational data infrastructure that powers AI, machine learning, and analytics initiatives for our clients. This is a strategic, hands-on role responsible for creating scalable data pipelines, optimizing data structures, and enabling real-time, intelligent decision-making across enterprise environments.You&rsquo;ll work closely with AI engineers, data scientists, software developers, and business stakeholders to architect end-to-end data solutions&mdash;ensuring data is clean, accessible, secure, and actionable for advanced AI use cases.Key Responsibilities<ul><li>Design and implement scalable, secure, and high-performance data architectures for AI/ML models and systems</li><li>Build and optimize ETL/ELT pipelines that support real-time and batch data processing</li><li>Define and enforce best practices for data modeling, schema design, and metadata management</li><li>Collaborate with AI engineers and data scientists to ensure data pipelines support model training, inference, and retraining workflows</li><li>Architect and manage data lakes, warehouses, and cloud-based storage solutions (e.g., AWS, GCP, Azure)</li><li>Ensure data governance, compliance, and security policies are met (including HIPAA, GDPR, or SOC2, if applicable)</li><li>Monitor data quality and establish automated validation and anomaly detection processes</li><li>Create technical documentation, architecture diagrams, and data flow mappings for internal and external teams</li><li>Evaluate and integrate new tools, frameworks, and platforms to enhance data infrastructure capabilities</li></ul>Required Skills &amp; Qualifications<ul><li>5+ years in data architecture, data engineering, or a related field</li><li>Strong understanding of AI/ML systems and how they interface with structured and unstructured data</li><li>Expertise with cloud platforms such as AWS (e.g., S3, Redshift, Glue), GCP (BigQuery), or Azure</li><li>Proficient in Python, SQL, and modern data frameworks (e.g., Apache Spark, Kafka, Airflow)</li><li>Deep experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, DynamoDB)</li><li>Experience architecting solutions that feed into or support AI models (e.g., LLMs, recommendation systems, predictive analytics)</li><li>Familiarity with MLOps, model lifecycle, and data versioning tools</li><li>Strong documentation, diagramming, and cross-functional communication skills</li><li>Security-first mindset with experience implementing data privacy and governance protocols</li></ul>Nice to Have<ul><li>Experience supporting LLM-based AI pipelines or Retrieval-Augmented Generation (RAG) architectures</li><li>Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and embeddings</li><li>Knowledge of Kubernetes, Docker, or cloud-native orchestration systems</li><li>Certifications in cloud architecture, data engineering, or AI/ML (AWS Certified Data Analytics, GCP Data Engineer, etc.)</li></ul>Working Hours<ul><li>Full-Time, Monday&ndash;Friday 8 hours per day</li><li>Aligned with U.S. business hours</li></ul>Job Type: Full-timePay: E&pound;83,204.00 - E&pound;154,523.00 per monthApplication Question(s):<ul><li>Please confirm if you applied through our website so we can proceed with your application. https://radarhire.com/job/ai-data-architect-remote-id-2115/</li></ul>

AI Data Architect (Remote)

Join Radar Hire LLC and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Radar Hire LLC

ABOUT_COMPANY

Senior Digital Advertising Strategist

Machine Learning Engineer (Remote)

AI Data Architect (Remote)