CodelogicX is a pioneering technology company, proudly certified with ISO 9001:2015 and ISO/IEC 27001:2013 standards. We are committed to advancing innovation and delivering state-of-the-art solutions that redefine industry standards. We are seeking a skilled and detail-oriented Core Machine Learning Engineer with a strong foundation in classical machine learning and deep learning techniques. The ideal candidate will have hands-on experience building, evaluating, and optimizing machine learning models, with a focus on core ML concepts rather than generative AI or LLM-based systems.
Design, develop, and deploy machine learning models using core ML techniques.
Implement supervised and unsupervised learning algorithms for structured and unstructured data.
Work on end-to-end ML pipelines including data preprocessing, feature engineering, model training, and evaluation.
Apply deep learning models for tasks such as image classification and object detection.
Analyze datasets to extract meaningful insights and improve model performance.
Perform data cleaning, transformation, and feature selection to enhance model accuracy.
Evaluate model performance using appropriate metrics and validation techniques.
Optimize models for performance, scalability, and efficiency.
Collaborate with cross-functional teams including data engineers and software developers.
Document experiments, workflows, and model performance results.
- Minimum 3 years of hands on experience in core machine learning.
- Technical skills:
Strong proficiency in Scikit-learn, PyTorch, NumPy, Pandas, OpenCV, Matplotlib, EAI Library (or similar ML frameworks)
- Machine Learning Algorithms:
- Supervised Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forest.
- Unsupervised Learning: Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Transformer Architecture, Object Detection, Image Classification.
- Deep Learning: Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Transformer Architecture, Object Detection, Image Classification
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Core ML Knowledge: Data Cleaning and Preprocessing, Feature Engineering, Model Evaluation Techniques (e.g., cross-validation, metrics analysis).
Health insurance
Hybrid working mode
Provident Fund
Parental leave
Yearly Bonus Gratuity
Location: Kolkata
