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TWO95 International, Inc

TWO95 International, Inc

www.two95intl.com

146 Employees

About the Company

Two95 International Inc. is a leading global technology firm specializing in cutting-edge enterprise solutions spanning Digital Transformation, Cybersecurity, Edge Computing, Cloud and GenAI. Our innovative services evolve with the ever-changing landscape of technology, empowering businesses to thrive in the digital era. With a diverse client base encompassing Fortune 500 corporations and mid-market enterprises across various industries and geographies, we deliver tailored solutions that drive growth, efficiency, and success..

Listed Jobs

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Company Name
TWO95 International, Inc
Job Title
AI Developer - Remote Work
Job Description
Job Title: AI Developer – Remote Role Summary: Develop and deploy AI/ML solutions, building models across supervised, unsupervised, and reinforcement learning. Engineer end‑to‑end pipelines, from data ingestion to production‑grade deployment, leveraging MLOps practices on cloud platforms. Expectations: - Deliver high‑quality, scalable AI models that meet business objectives. - Collaborate with cross‑functional teams to translate domain problems into ML solutions. - Maintain code quality, documentation, and reproducibility of experiments. Key Responsibilities: - Design, implement, and train neural architectures (CNNs, RNNs, Transformers). - Acquire, clean, preprocess, and engineer features from relational and big‑data sources. - Build data pipelines using Spark, SQL/NoSQL, and OpenSearch. - Deploy models as APIs or batch jobs on AWS, GCP, or Azure with CI/CD and MLOps tooling. - Monitor model performance and troubleshoot drift or latency issues. - Stay current with advances in ML, NLP, and cloud AI services. Required Skills: - Expert Python programming; knowledge of R, Java, or C++. - Deep understanding of supervised, unsupervised, reinforcement learning, and neural network theory. - Proficient with TensorFlow, PyTorch, Keras, scikit‑learn, NLTK, spaCy, and Hugging Face. - Experience in data engineering: SQL, NoSQL, Spark, OpenSearch. - Solid foundation in linear algebra, calculus, probability, and statistics. - NLP expertise with transformers and related libraries. - Cloud computing experience and MLOps principles (model registry, versioning, monitoring). Required Education & Certifications: - Bachelor’s degree in Computer Science, Data Science, or related field (preferred). - Certifications in cloud platforms (AWS Certification, GCP Professional Machine Learning Engineer, Azure AI Engineer Associate) or MLOps tools considered a plus.
United states
Remote
19-02-2026