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Key Responsibilities
- Work on GenAI and Large Language Model–based (LLM) solutions.
- Collaborate with cross-functional teams to understand requirements and deliver high-quality ML solutions.
- Optimize AI Agents performance, scalability, and efficiency.
- Implement data preprocessing, feature engineering, and model evaluation techniques.
- Participate in code reviews, research, and experimentation to improve ML pipelines.
- 2 to 8 years of experience as a Machine Learning Engineer / Data Scientist.
- Strong knowledge of Python and ML libraries.
- Hands-on experience with Ai Agents,Scikit-learn,API integration .
- Experience building and deploying real-world ML/AI applications.
- Understanding of Generative AI, LLMs, and prompt engineering is a strong advantage.
- Excellent problem-solving and analytical skills.
- Good communication skills and ability to explain complex concepts clearly.
- Knowledge of MLOps, cloud platforms (AWS/GCP/Azure), Docker, or CI/CD.
- Experience with NLP, Computer Vision.
- Research-oriented mindset and willingness to explore new frameworks/tools. Strong communication skills are essential as this is a remote position. The ability to work independently, manage priorities, and meet deadlines is crucial for success in this role.
Key Skills
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