Data Scientist

🕒 May 21

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 42%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Codvo.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

Artificial Intelligence • 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.

📋 Description

• 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

🎯 Requirements

• 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