Python Developer Job California Missouri USA,IT/Tech

Location: California

Should have proven projects on upcoming technologies like AI Client and strong hands on Python. Predictive Analysis using iONA needed. We need to add 2 resources to implement some of the advanced features (Predictive Analysis using iONA). It is AIML resource with Python programming experience. Min 5- 8 years of experience. Python Strong in Data science and Machine Learning , must know time series algos, Anomalies detection and prediction algos like Radom forest isolation, LSTM etc.

Strong understanding of frameworks like BERT, GPT or transformer models, Supervised and unsupervised Client techniques, frameworks like Tensor Flow, PyTorch, etc, Experience with cloud platforms, Experience with MLOPS , Basic knowledge of deep learning and neural networks.

Responsibilities

To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.

To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure succeful delivery of complex projects.

To ensure process compliance in the assigned module, and participate in technical discussionsor review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).

To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure and closure of escalations.

Qualifications

5-8 years of experience; AIML resource with Python programming experience.
Proven projects on AI technologies; strong hands-on Python;
Predictive Analysis using iONA.
Python strong in Data Science and Machine Learning; must know time series algorithms, anomaly detection and prediction algorithms (e.g., Random Forest, Isolation Forest, LSTM).
Strong understanding of transformer models (BERT, GPT) and frameworks like Tensor Flow, PyTorch; experience with supervised and unsupervised learning techniques.
Experience with cloud platforms and MLOps; basic knowledge of deep learning and neural networks.

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