Join CAI Platforms
At CAI Platforms, we lead the charge in pioneering transformative AI solutions. Join us to propel businesses into the future with cutting-edge technology and innovation. Unleash your potential and make an impact with us.
At CAI Platforms, we lead the charge in pioneering transformative AI solutions. Join us to propel businesses into the future with cutting-edge technology and innovation. Unleash your potential and make an impact with us.
Embark on a journey of innovation and impact with CAI Platforms. We value creativity, teamwork, and passion for technology. Join us in shaping the future of digital solutions. Apply now and embark on a rewarding journey with us!
Discover a career at CAI Platforms where you'll thrive professionally and personally. Unlock opportunities for growth, wellness support, impactful giving, and a balanced work-life integration. Experience a workplace that values your well-being and ambitions.
We are looking for passionate individuals who are ready to contribute their expertise to our innovative AI projects.
Big Data DevOps Engineer specializing in data infrastructure and operations.
3+ Years Exp.
DevOps Skills: CI/CD Pipeline | Terraform or CloudFormation | Ansible, Puppet, or Chef | Docker and Kubernetes | Git
Big Data Technologies: HDFS, MapReduce, Hive, Pig, Spark | Cassandra, MongoDB, HBase | Apache Kafka
Programming and Scripting: Java, Python, or Scala
Cloud Platforms: AWS, Azure, or Google Cloud | AWS EMR, Azure HDInsight
Security: Knowledge of security best practices for infrastructure and data
Problem-Solving and Troubleshooting
Data Science Engineer I - Analyze data, drive insights, and innovate solutions.
4+ Years Exp.
Programming Languages: Python, R, or Java
Data Analysis and Modeling: sci-kit-learn, TensorFlow, PyTorch
Database and Data Manipulation: Big data technologies like Apache Spark
Data Visualization: Tableau, Matplotlib, or Seaborn.
Data Engineering: Understanding of data pipeline architecture and development.
Machine Learning Deployment: Knowledge of deploying machine learning models into production. | Docker
Product Manager specializing in Decision Science for data-driven innovation.
4+ Years Exp.
Product Management Skills: Experience in product management, preferably in a technology or AI-related field.
Decision Science Expertise: Experience in designing algorithms and models to support decision-making processes.
AI and Machine Learning Knowledge: TensorFlow, PyTorch, or scikit-learn
Data Analysis and Statistics:
Technical Proficiency: Python, R, or Java
Communication and Leadership | Business Acumen | Problem-solving and Critical Thinking
Manager leading AI Platform engineering for innovation and growth.
2+ Years Exp.
AI and Machine Learning Expertise: TensorFlow, PyTorch, etc
Engineering Leadership: Experience in a leadership role, preferably as an Engineering Manager.
Technical Proficiency: Python, Java, or R | SDLC
Platform Development: Knowledge of distributed systems and scalability considerations for AI applications
Agile Methodology: Experience with Agile development methodologies.
Communication Skills | Problem-solving and Innovation | Collaboration | Decision Making
Fueling Growth Through Proactive Sales Outreach and Engagement.
3+ Years Exp.
Technology Proficiency: Familiarity with CRM
Research and Analytical Skills: Proficient in conducting market research
AI and Automation Skills: Familiarity with AI tools and technologies for sales, such as AI-driven lead scoring and predictive analytics.
Sales Acumen: Understanding of basic sales principles and strategies.
Customer Focus: Ability to understand customer needs and tailor communication accordingly
Team Collaboration | Self-Motivation | Communication Skills
Experienced professional in systems engineering, specializing in senior-level responsibilities.
4+ Years Exp.
AI Expertise: NLP, computer vision | AI, ML | TensorFlow, PyTorch, or scikit-learn
Programming Languages: Python, Java, C++, and others relevant to systems engineering and AI development.
Data Management: Hadoop, Spark, MongoDB, SQL
Infrastructure and DevOps: Docker and container orchestration with Kubernetes.
Problem-solving and Analytical Skills: Ability to troubleshoot complex technical issues and provide effective solutions.
Communication and Collaboration | Security and Compliance | Adaptability and Learning
Empower your AI journey with our expert consultants, tailored strategies, and innovative solutions.