Job Information

Date Opened

05/05/2026

Job Type

Full time

Industry

IT Services

City

Kolkata

Province

West Bengal

Country

India

Postal Code

700091

About Us

We are a fast growing technology company specializing in current and emerging internet, cloud and mobile technologies.

Job Description

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 solid 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:

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

- 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

📌 Machine Learning Engineer (West Bengal)
🏢 Codelogicx Technologies
📍 West Bengal