Ray Advertising is searching for a driven and articulate AI (Artificial Intelligence) Engineer to join our team in a WORK FROM HOME opportunity.
This position involves night shift from Monday to Saturday, 7:00 PM to 5:00 AM BD time, with Saturdays being half shift from 7 p.m to 1a.m. This is a Night Shift job and the shift timing is non-negotiable.
About Us:
Ray Advertising, a distinguished performance marketing agency, was founded in 2019 in Redding, California, along with our local presence in Bogura, Bangladesh. Over the years we have emerged as a leading high-performance advertising network specializing in Pay Per Call, affiliate marketing, and lead generation. Our Pay Per Call service, consistently ranked #1, offering unmatched volume and quality for advertisers. Our media buyers excel in affiliate marketing, forging strong relationships with major brands in insurance, home services, finance, legal, mass tort, nutra, and more.
Our vision and mission:
Our vision is to provide unmatched quality and volume in pay per call, and constantly deliver high-performance affiliate marketing and lead generation solutions. We aim to empower our clients with innovative, results-driven strategies that build long-lasting client relationships and drive sustainable growth across our verticals. Our company's mission is to keep our reputation as the number 1 hub for pay-per-call networks in the world as we are now, and utilize our portfolio of strategies to excel in our offerings in the fields of lead generation and affiliate marketing.
Position Overview:
We are seeking an AI (Artificial Intelligence) Engineer with a deep understanding of AI trends and automation technologies to build AI-driven tools that will revolutionize our lead generation, email & SMS marketing, business development, and sales outreach. The ideal candidate will have strong expertise in AI/ML, NLP, deep learning, and automation to develop solutions that enhance customer engagement, automate communication, and streamline operations.
Key Responsibilities
AI-Powered Lead Generation & Outreach Automation
- Develop AI-based tools to find and engage prospects on LinkedIn automatically.
- Create AI models that send personalized messages, respond intelligently, and book meetings.
- Implement voice-based AI agents that can conduct sales calls and book appointments.
AI- Powered Automation & Business Development
- Build an AI sales assistant capable of cold calling, prospecting, and engaging clients.
- Train AI models to hold business conversations and handle objections in real-time.
- Automate CRM tasks, data entry, and lead prioritization using AI.
AI Powered Email & SMS Marketing
Develop AI-powered tools that can:
- Write personalized email & SMS content for marketing campaigns.
- Send, track, and follow up on emails and messages based on user interactions.
- Analyze responses and schedule meetings automatically.
Chatbot Development & Customer Interaction
- Develop intelligent AI chatbots to handle customer inquiries, provide support, and qualify leads.
- Create multilingual AI chat solutions for international markets.
AI-Driven Data Analysis & Predictive Analytics
- Implement predictive analytics models to forecast lead conversion and marketing effectiveness.
- Develop AI tools to analyze customer data and optimize marketing campaigns.
- Automate performance tracking and reporting using AI dashboards.
General AI & Machine Learning Development
- Train AI models using deep learning, reinforcement learning, and NLP.
- Develop AI-powered automation tools for internal workflows and decision-making.
- Stay up to date with AI trends, research papers, and new developments.
- Design, develop, and implement machine learning and deep learning models.
- Develop and optimize reinforcement learning models and generative AI solutions.
- Fine-tune and deploy large language models (LLMs) like GPT-4, Stable Diffusion, and BERT.
- Conduct research on state-of-the-art AI techniques and implement best practices.
Data Management & Engineering
- Manage large-scale datasets, ensuring proper data preprocessing and feature engineering.
- Work with SQL and NoSQL databases like MySQL, PostgreSQL, MongoDB, and Cassandra.
- Implement ETL (Extract, Transform, Load) pipelines and data warehousing techniques.
- Utilize big data technologies such as Apache Spark, Hadoop, and Google BigQuery.
Model Evaluation & Optimization
- Perform model evaluation using metrics such as accuracy, precision, recall, RMSE, MAE, and F1 score.
- Implement AI model explainability techniques to ensure transparency and fairness.
AI Deployment & DevOps Integration
- Deploy AI models in production environments using Docker and Kubernetes.
- Automate CI/CD pipelines for AI applications.
- Monitor AI systems post-deployment and implement performance improvements.
AI Security & Ethical AI Implementation
- Implement AI security best practices, ensuring compliance with GDPR and other regulations.
- Develop privacy-preserving AI solutions using techniques like differential privacy and homomorphic encryption.
- Address AI fairness, bias mitigation, and responsible AI development.
Required Skills & Qualifications:
Programming Languages
- Proficiency in Python, R, Java, and C++ for AI model development.
- Strong experience with libraries such as TensorFlow, PyTorch, Scikit-learn, and OpenCV.
Machine Learning & Deep Learning
- Solid understanding of supervised, unsupervised, and reinforcement learning algorithms.
- Expertise in neural network architectures, including CNNs, RNNs, and Transformer models.
Big Data & Cloud Platforms
- Experience with big data processing tools like Hadoop, Apache Spark, and Google BigQuery.
- Familiarity with cloud AI services (AWS SageMaker, Google Vertex AI, Azure ML).
Database & Data Engineering
- Proficiency in relational and NoSQL databases (MySQL, PostgreSQL, MongoDB, Cassandra).
- Knowledge of ETL pipelines and data warehousing solutions.
DevOps & Deployment
- Hands-on experience with Docker, Kubernetes, and CI/CD automation.
- Understanding of AI model monitoring, logging, and optimization in production.
AI Security & Ethics
- Awareness of AI-related security threats and countermeasures.
- Knowledge of regulatory compliance (e.g., GDPR) and responsible AI frameworks.
Educational Qualifications
Bachelor’s/Master’s degree in AI, Computer Science, Data Science, or related field preferred but not required.
Employee Benefits:
- Relocation opportunities to our California headquarters
- Annual salary increments
- Generous vacation and sick leave policy
- Yearly festival bonus
- Professional certification support
- Yearly holidays according to Bangladesh and the US calendar.
- Leadership training directly from the CEO (monthly)
Physical Demands:
- Ability to work for extended periods on a computer.
- No significant physical demands beyond typical office work.
Ray Advertising is an equal opportunity employer. We embrace diversity and are committed to creating an inclusive environment for all employees. To apply, please send your resume and cover letter to careers@rayadvertising.com or apply through our LinkedIn page.
Join us and be part of a team that's shaping the future of performance marketing! 🌟
