Data Scientist, India

🕒 May 20

🇮🇳 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 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

🎯 Requirements

• 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