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Technical Architect
1 week ago
Bachelor's / Master’s Degree with an experience 3 - 7 years in technology architecture, designing, developing and implementing customized IT solutions on AI / ML systems.
Job Location: Mahape, Navi Mumbai.
- Develop and implement AI and ML algorithms and models.
- Develop complex software products using Python, Machine learning, AI Algorithms, Deep learning
- Conduct research and experimentation to improve AI algorithms and techniques.
- Ability to prepare and evaluate data such as data cleaning, feature engineering, and data transformation.
- Ability to ensure performance, accuracy, and reliability requirements. This includes unit testing, integration testing, and evaluating models using validation and test datasets.
- Ability to build model pipeline and choose appropriate model.
- Train ML systems and models as and when necessary.
- Collaborate with cross-functional teams to define and develop AI solutions
- Develop Machine Learning apps according to customer / client requirements.
- Incorporate knowledge of Large Language Models (LLM) to enhance Natural Language Processing capabilities in ML applications.
- Building Generative AI LLMs to create smarter apps.
- Participate in the entire AI development lifecycle from ideation to deployment and maintenance.
Key Requirements:
- Real work expertise in AI, ML and LLM
- Advance Python with File I/O, Multithreading, NLP, LLM, AI programming.
- Ability to build Rest API (FastAPI / django).
- Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc.) Robust data modelling and data architecture skills.
- Programming experience in Python, R, LISP, etc.
- Experience in working with ML frameworks like TensorFlow, PyTorch and Keras.
- Experience in working with various ML libraries and packages like Scikit learn, Scipy, Theano, Tensorflow, Matplotlib / Seaborn , Caffe, etc.
- Experience in working with Image processing, computer vision is a must.
- Experience in developing AI models for specific domains such as neural network, computer vision, natural language processing, or robotics
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