Machine Learning Engineer

Job Summary

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.

Responsibilities

• 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.

Requirements

Minimum 3 years of hands on experience in core machine learning.

Technical Skills

• Scikit-learn
• PyTorch
• NumPy
• Pandas
• OpenCV
• Matplotlib
• EAI Library (or similar ML frameworks)

Machine Learning Algorithms

• Linear Regression
• Logistic Regression
• Decision Trees
• Random Forest
• 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)

Location

Kolkata, West Bengal, India

Job Type

Full time

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