indeed
Senior AI Developer
Rytsense Technologies
Tamil Nadu, IND
Full-time
Onsite
Discovered 1 weeks ago
Machine learning and deep learningPythonPandas and NumPyScikit-learn, TensorFlow, or PyTorchData preprocessing, model building, and evaluationREST APIs and model deployment
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Machine learning and deep learningPythonPandas and NumPy
Role Overview
Rytsense Technologies is seeking a skilled AI/ML Engineer with 5+ years of experience.
The role focuses on machine learning, deep learning, generative AI, and LLM-based application development.
Key Skills for This Role
Machine learning and deep learningPythonPandas and NumPyScikit-learn, TensorFlow, or PyTorchData preprocessing, model building, and evaluationREST APIs and model deployment
Full Job Posting
Role Overview
Rytsense Technologies is seeking a skilled AI/ML Engineer with 5+ years of experience.
The role focuses on machine learning, deep learning, generative AI, and LLM-based application development.
Required Skills
- Strong experience with machine learning and deep learning concepts.
- Proficiency in Python and libraries including Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Experience with data preprocessing, model building, and evaluation.
- Knowledge of REST APIs and model deployment.
- Familiarity with data structures, algorithms, and problem-solving.
- Hands-on experience with generative AI concepts such as RAG.
- Exposure to LangChain and LangGraph.
- Understanding of agentic AI systems and LLM-based application development.
Preferred Qualifications
- Experience with NLP, computer vision, or generative AI applications is preferred.
- Familiarity with AWS, Azure, or GCP is preferred.
- Understanding of MLOps and model lifecycle management is preferred.
Work Location
- The work location is in person.
Employment
- The job type is full-time and permanent.
Responsibilities
- Develop machine learning and deep learning solutions.
- Preprocess data, build models, and evaluate model performance.
- Develop and deploy models through REST APIs.
- Design and develop generative AI applications using RAG and LLM-based approaches.
- Work with agentic AI systems and related application frameworks.
- Apply data structures, algorithms, and structured problem-solving to AI development.
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