Advanced Machine Learning Engineer Role
2 days ago
We are seeking a highly skilled Machine Learning Engineer with expertise in building, deploying, and managing ML solutions. The ideal candidate will have hands-on experience with modern AI frameworks and cloud-based MLOps practices.
Key Responsibilities:- Design and develop machine learning models and pipelines for production-scale applications.
- Implement NLP solutions using algorithms such as TF-IDF, Word2Vec, BERT, Zero-Shot, and Few-Shot learning techniques.
- Apply generative AI models to solve real-world business problems.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
The successful candidate will be responsible for managing the entire ML lifecycle, including versioning, CI/CD, and deployment using AWS, Docker, Jenkins, and other MLOps tools.
Required Skills and Qualifications- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or Statistics.
- ML/Deep Learning/NLP Certification preferred.
Technical Expertise (Must-Have):
- Programming: Python (DSA)
- Machine Learning & Statistics: Strong knowledge of algorithms (Linear Regression, Decision Trees, KNN, SVM, Random Forest, Logistic Regression, Bayesian methods, Mean-based approaches)
- NLP: Zero-shot, Few-shot classification, TF-IDF, Word2Vec, BERT
- Generative AI: OpenAI models
- Databases: MongoDB & MySQL
- Version Control: Git, Bitbucket
- Microservices: Flask, FastAPI
- MLOps: AWS, Jenkins, Docker/CircleCI
- Project Management Tools: JIRA, Asana
- Opportunity to work on cutting-edge AI and Generative AI projects.
- Exposure to end-to-end ML lifecycle and large-scale deployments.
- Collaborative and innovative work culture.
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