Codvo. ai is a technology company that specializes in delivering strategic enterprise solutions through advanced AI-driven innovation. They focus on transforming enterprise data into measurable value by helping businesses accelerate growth with custom AI implementations tailored to meet the specific challenges of various industries. Their extensive service offerings include AI/ML automation, application development, data analytics, cybersecurity, and digital transformation, ensuring that organizations can thrive in a rapidly evolving digital landscape.
Artificial Intelligence • Mobile Development • Product and Design • Web Development • Remote Support
March 7
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
Kubernetes
Python
PyTorch
Scikit-Learn
Tensorflow
Codvo. ai is a technology company that specializes in delivering strategic enterprise solutions through advanced AI-driven innovation. They focus on transforming enterprise data into measurable value by helping businesses accelerate growth with custom AI implementations tailored to meet the specific challenges of various industries. Their extensive service offerings include AI/ML automation, application development, data analytics, cybersecurity, and digital transformation, ensuring that organizations can thrive in a rapidly evolving digital landscape.
Artificial Intelligence • Mobile Development • Product and Design • Web Development • Remote Support
• Define and communicate the technical vision and strategy for AI projects. • Lead the architectural design and implementation of complex AI systems. • Evaluate and recommend emerging AI technologies and methodologies. • Drive the adoption of best practices for AI development, deployment, and maintenance. • Contribute to the strategic planning of AI initiatives, aligning them with business goals. • Lead and mentor a team of AI engineers, providing technical guidance and support. • Foster a collaborative and innovative team environment. • Conduct code reviews and ensure code quality. • Identify and address skill gaps within the team. • Facilitate knowledge sharing and continuous learning. • Oversee the development and deployment of scalable and robust AI solutions. • Ensure the performance, reliability, and security of AI systems. • Drive the development of AI pipelines and infrastructure. • Lead the integration of AI models with existing systems and applications. • Troubleshoot and resolve complex technical issues. • Stay abreast of the latest advancements in AI and machine learning. • Identify opportunities to apply AI to solve complex business challenges, including opportunities within Generative AI. • Drive research and development efforts to explore new AI technologies. • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. • Communicate complex technical concepts to both technical and non-technical audiences. • Provide technical presentations and demonstrations. • Document technical designs, code, and processes.
• Batchelor’s or Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. • 8+ years of experience in AI/ML development, with a proven track record of leading complex AI projects. • Extensive experience in designing and implementing scalable AI systems. • Proven experience in leading and mentoring technical teams. • Deep understanding of machine learning and deep learning algorithms and architectures. • Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. • Expertise in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). • Strong understanding of AI infrastructure and deployment strategies. • Experience with MLOps best practices. • Experience with vector databases, and LLM implementations. • Proficiency in software development principles and best practices. • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). • Exceptional leadership and communication skills. • Strong problem-solving and analytical skills. • Ability to think strategically and drive innovation. • Excellent interpersonal and collaboration skills. • Strong presentation skills. • Experience with Generative AI technologies and methodologies (e.g., GANs, Diffusion Models, Transformers for generation). • Experience with natural language processing (NLP) or computer vision. • Contributions to open-source AI projects. • Experience with distributed systems and big data technologies. • Experience with prompt engineering.
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