
Machine Learning Engineer
2 days ago
We are seeking an experienced Machine Learning Engineer to join our team. The ideal candidate will have a strong background in machine learning and deep learning, with a proven track record of developing and deploying predictive analytics models.
About the Role- This is a unique opportunity to work at the intersection of data science and software engineering.
- You will design and implement advanced machine learning algorithms to drive business outcomes.
- Collect and preprocess large datasets from various sources.
- Develop and train complex machine learning models using regression, classification, clustering, and recommendation systems.
- Collaborate with cross-functional teams to integrate AI solutions with APIs, databases, and business workflows.
- Stay current with emerging trends in machine learning and deep learning, ensuring responsible and ethical AI practices across all deployments.
- Minimum 5 years of experience in machine learning with expertise in deep learning.
- Hands-on experience with LLMs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).
- Proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow) and experience with vector databases (Pinecone, FAISS, Weaviate).
- Knowledge of model lifecycle management, CI/CD for ML, containerization (Docker/Kubernetes), and API deployment.
- Familiarity with cloud platforms (AWS, Azure, GCP).
- Experience with DevOps tools (Jenkins, GitLab CI/CD).
- Strong understanding of software development principles and best practices.
Please note that this is a senior-level position requiring significant experience and technical expertise.
The ideal candidate will be passionate about machine learning and its applications, with a strong desire to contribute to the success of our organization.
If you are a motivated and talented machine learning engineer looking for a challenging role, please apply.
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