We are seeking a skilled and detail-oriented Core Machine Learning Engineer with a robust 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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