Data Scientist

Colan Infotech

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Job Summary

Job Type
-

Seniority

Senior

Years of Experience
Information not provided

Tech Stacks
Python Kubernetes Azure NumPy PyTorch Pandas CI RNN Docker AWS TensorFlow CNN

Job Description

Skills:
Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Gen AI, RAG, AI/ML, Data science,

Key Responsibilities

Model Development & Optimization

Design, develop, and deploy advanced deep learning models (CNN, RNN, LSTM, Transformers)
Build scalable AI solutions for real-world business problems
Perform feature engineering, hyperparameter tuning, and model optimization
Implement transfer learning and fine-tuning of pre-trained models
Improve model accuracy, efficiency, and scalability

Data Engineering & Processing

Work with large structured and unstructured datasets
Develop data pipelines for training and inference workflows
Perform exploratory data analysis (EDA) and statistical analysis
Ensure data quality, validation, and governance

Deployment & MLOps

Deploy models into production using APIs and containerization tools
Work with Docker, Kubernetes, and CI/CD pipelines
Monitor model performance and retrain models when necessary
Collaborate with DevOps teams for scalable deployment

AI Frameworks & Technologies

Strong hands-on experience with Python
Expertise in TensorFlow and/or PyTorch
Experience with Scikit-learn, NumPy, Pandas
Exposure to cloud platforms (AWS / Azure / GCP)
Knowledge of distributed computing frameworks is an added advantage

Collaboration & Leadership

Work closely with product managers, engineers, and stakeholders
Translate business problems into data science solutions
Mentor junior data scientists and review code/models
Present insights and model results to technical and non-technical audiences

Required Skills & Experience

6+ years of experience in Data Science / Machine Learning
Strong expertise in Deep Learning architectures (CNN, RNN, LSTM, Transformers)
Experience in model deployment and MLOps practices
Solid understanding of statistics, probability, and linear algebra
Experience handling large-scale datasets
Strong problem-solving and analytical skills

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