
51 - 200 employees
Founded 2019
🔒 Cybersecurity
☁️ SaaS
AI • Cybersecurity • SaaS
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.
🕒 May 21
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51 - 200 employees
Founded 2019
🔒 Cybersecurity
☁️ SaaS
AI • Cybersecurity • SaaS
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.
• Train and optimize Deep Neural Network architectures for Regression and Industrial Control use cases • Design and implement end-to-end Machine Learning and Deep Learning pipelines • Work with large datasets for preprocessing and exploratory data analysis • Apply Regression Models and Predictive Analytics • Develop Time Series and Forecasting models • Collaborate with cross-functional teams to integrate ML solutions
• 5+ Years experience as a Data Scientist • Strong expertise in Machine Learning • Strong expertise in Deep Learning • Experience with Deep Neural Network architectures • Proficiency in PyTorch, TensorFlow, Keras • Proficiency in Python Programming • Experience with Scikit-learn, Pandas, and NumPy • Knowledge of Regression, Classification, Ensemble Models • Experience with Time Series Forecasting and Predictive Modeling • Good to have: Cloud Platforms AWS, Azure, or GCP • Good to have: MLOps Tools Docker, Kubernetes, MLflow, Seldon • Good to have: Experience with NLP, GenAI, or LLMs
Apply Now🕒 May 18
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