Data Scientist, India

This is a fully remote position, open to applicants in India.

📋 Description

• Train and enhance Deep Neural Network architectures tailored for Regression and Industrial Control applications.

• Design and execute comprehensive Machine Learning and Deep Learning pipelines encompassing data ingestion, data cleaning, feature engineering, model training, deployment, and monitoring.

• Handle large and intricate datasets for preprocessing, exploratory data analysis (EDA), and feature engineering tasks.

• Utilize Regression Models and Predictive Analytics to address business challenges.

• Create Time Series and Forecasting models aimed at trend prediction and risk assessment.

• Collaborate with cross-functional teams to seamlessly integrate ML solutions into production environments.

⛳️ Requirements

• Over 5 years of experience in the field.

• Proficiency in Deep Learning techniques (Neural Networks, CNN, RNN, LSTM, Transformers).

• Hands-on experience with PyTorch, TensorFlow, and Keras.

• Strong skills in Python programming.

• Familiarity with Scikit-learn.

• Proficient in using Pandas and NumPy.

• Knowledge of Machine Learning methodologies (Regression, Classification, Ensemble Models).

• Experience in Time Series Forecasting and Predictive Modeling.

• Competence in Model Training, Hyperparameter Tuning, and Cross Validation.

• Good to Have: Familiarity with Cloud Platforms such as AWS, Azure, or GCP.

• Experience with MLOps Tools including Docker, Kubernetes, MLflow, Seldon, etc.

• Exposure to Big Data and Data Engineering practices.

• Experience in NLP, GenAI, or LLMs is a plus.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and continuous learning.

• Flexible working hours and the possibility of remote work.

• Collaborative and innovative work environment.

• Health, dental, and vision insurance.

• Retirement savings plan with company matching.