Machine Learning Engineer

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About-

Machine Learning Engineers

What will you do:

• Develop and fine-tune ML/NLP models for real-world use cases.
• Build data pipelines to process and organize structured and unstructured content.
• Work on speech, text, and image-based ML tasks as required.
• Collaborate with the engineering team to integrate ML models into applications.
• Optimize models for accuracy, performance, and scalability.
• Monitor deployed models and improve them based on usage data.

Required Skills:

• Strong Python skills and experience with ML frameworks (PyTorch/TensorFlow).
• Knowledge of NLP, LLMs, embeddings, or retrieval systems.
• Experience with speech or audio processing (preferred but not mandatory).
• Understanding of data preprocessing and pipeline development.
• Familiarity with cloud platforms and deployment tools (AWS/GCP/Azure, Docker).
• Strong problem-solving and analytical abilities.

Qualifications:

• Experience working on ML models in production environments.
• Knowledge of MLOps practices, model monitoring, and scalable deployment.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Why Join Us?

• Impact: This is a high-visibility role where your work directly contributes to the company's growth.
• Culture: Enjoy a supportive, collaborative, and flexible work environment.
• Benefits: Competitive salary, generous PTO.