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.

Roles & Responsibilities:

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  Design, develop, and deploy machine learning models using core ML techniques.
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  Implement supervised and unsupervised learning algorithms for structured and unstructured data.
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  Work on end-to-end ML pipelines including data preprocessing, feature engineering, model training, and evaluation.
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  Apply deep learning models for tasks such as image classification and object detection.
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  Analyze datasets to extract meaningful insights and improve model performance.
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  Perform data cleaning, transformation, and feature selection to enhance model accuracy.
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  Evaluate model performance using appropriate metrics and validation techniques.
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  Optimize models for performance, scalability, and efficiency.
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  Collaborate with cross-functional teams including data engineers and software developers.
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  Document experiments, workflows, and model performance results.

Requirements

• Minimum 3 years of hands on experience in core machine learning.
  
• Technical skills:

• 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

• Core ML Knowledge: Data Cleaning and Preprocessing, Feature Engineering, Model Evaluation Techniques (e.g., cross-validation, metrics analysis).

Benefits

Health insurance
Hybrid working mode
Provident Fund
Parental leave
Yearly Bonus Gratuity

Location: Kolkata