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Job Description

The ideal candidate will have a solid foundation in software engineering, AI/ML technologies, and software development processes. The Candidate will be responsible for guiding a team of 4- 5 AI developers, ensuring the delivery of robust AI solutions while maintaining high standards in architecture, coding practices, and project execution.


Role & Responsibilities :


Generative AI (GenAI) :


- Experience with Large Language Models (LLMs) like GPT, BERT, or LLaMA.

- Familiarity with fine-tuning LLMs and integrating them into enterprise applications and Databases.

- Knowledge of text generation, summarization, translation, and conversational AI.


Traditional Machine Learning :


- Proficiency in ML techniques like supervised learning, unsupervised learning, and reinforcement learning.

- Hands-on experience with classification, regression, clustering, and time-series forecasting.


AI Frameworks and Tools :


- Proficient in frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn, and Keras.

- Familiarity with ML pipelines using tools like MLflow, Kubeflow, or TensorFlow Extended (TFX).


Deployment :


- Knowledge of containerization (Docker, Kubernetes) and serverless architectures for scalable AI solutions.


Required Software Engineering Skills :


Programming Languages :


- Strong proficiency in Python (preferred), Java, or Go for AI application development.

- Experience with API development frameworks such as FastAPI, Django, or Flask.


Qualifications :


- Bachelors or Masters degree in Computer Science.

- AI/ML, Data Science, or related field.

- 6- 9 years of experience in developing and deploying AI applications.

- Proven track record of delivering scalable AI solutions in an enterprise setting.


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