
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 20
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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 including data ingestion, data cleaning, feature engineering, model training, deployment, and monitoring • Work with large and complex datasets for preprocessing, exploratory data analysis (EDA), and feature engineering • Apply Regression Models and Predictive Analytics to solve business problems • Develop Time Series and Forecasting models for trend prediction and risk estimation • Collaborate with cross-functional teams to integrate ML solutions into production environments
• 5+ Years experience • Deep Learning (Neural Networks, CNN, RNN, LSTM, Transformers) • PyTorch, TensorFlow, Keras • Python Programming • Scikit-learn • Pandas and NumPy • Machine Learning (Regression, Classification, Ensemble Models) • Time Series Forecasting and Predictive Modeling • Model Training, Hyperparameter Tuning, and Cross Validation • Good to Have: Cloud Platforms: AWS, Azure, or GCP • MLOps Tools: Docker, Kubernetes, MLflow, Seldon, etc. • Exposure to Big Data and Data Engineering • Experience with NLP, GenAI, or LLMs
Apply Now🕒 May 18
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