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AI Developer
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- Posted a month ago
- Over 300 applicants have applied
Job Description
Responsibilities
- Assist in building and training machine learning models for various projects.
- Work with structured and unstructured data, perform data cleaning and preprocessing.
- Collaborate with software developers and data scientists on AI/ML projects.
- Implement algorithms and optimize model performance.
- Research and explore emerging AI technologies.
Skills
- Strong understanding of Python and libraries like NumPy, Pandas, TensorFlow or PyTorch.
- Basic knowledge of ML algorithms such as regression, classification, clustering, etc.
- Knowledge on different Generative AI platform
- Familiarity with data preprocessing and model evaluation techniques.
- Ability to learn quickly and work in a team environment.
- Problem-solving attitude with good communication skills.
Qualifications
- Bachelor s Degree in Computer Science, Data Science, AI, or related field.
More Info
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About Company
At Silent Infotech, we believe in our technical expertise and problem-solving approach using cutting-edge technology. Rather than making a loud noise, we let our world-class reputation for innovative problem-solving software solutions speak for ourselves. Our unique ideas and successful software implementations across various industries have earned us recognition and appreciation.
Skills:
Tensorflow, Git, Pytorch, Gcp, Docker, Opencv, Flask, Keras, FastAPI, Raspberry Pi, Azure, Computer Vision, AWS, Detectron2, LabelImg, NVIDIA Jetson, TensorRT, Labelbox, ONNX, YOLO, CVAT, MMDetection
Skills:
Python, Tensorflow, Machine Learning, Deep Learning, Natural Language Processing, Data Analysis
Skills:
Python, Cloud deployment, LLMs, AI Agents, RAG, Prompt Engineering, Generative AI, Vector Databases
Skills:
Java, Machine Learning, Express.Js, Node.js, Sql, Google Cloud, Nosql, MLops, Docker, Flask, FastAPI, Azure, Python, Kubernetes, AWS, Generative AI, Large Language Models
Skills:
snowflake , Advanced Sql, Data Modeling, Collibra, Data Governance, Data Quality, Python, Data Product Development, Pharma Commercial Data, AI/ML Data Pipelines