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Strong expertise in generative AI techniques for summarization, Chatbot and data embedding using AWS, Microsoft Azure Open AI and other open source LLM models. Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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AWS Certified Solution Architect – Professional (and/or) AWS Certified Machine Learning Specialty. This Lead Software Engineer will be part of the emerging technologies workstream to explore new technology products in software engineering and Generative AI (GenAI) solutions.
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Data science, machine learning, optimization models, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, using open-source frameworks (for example, scikit learn, TensorFlow, torch.
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Experience with open source vision and machine learning tools such as CUDA, Caffe, fastText, OpenCV, Parsey McParseface, SciKit, Torch, Tessaract, TensorFlow, Theano a plus.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
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Familiarity with cloud platforms that offer specific support for deploying and scaling generative models, such as Google’s Vertex AI, Azure’s AI tools, and AWS’s Machine Learning services.
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We are seeking a Lead Software Engineer to spearhead our expansion into AI and ML technologies space, with a special focus on Generative AI. This pivotal role involves developing innovative Generative AI solutions that generate dynamic content, automate decision-making, anomaly detection, and provide predictive analytics,and transforming how businesses interact with data.
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IP, Ethernet, and wireless communications,open source networking technologies, Open source Linux development, GNU Radio, virtualization, Docker, scripting, git, testing and automation, Machine learning, data analysis, compilers, Cassandra, Kafka, MongoDB, Network Modeling, Simulation Tools, Python, Bash, perl, Networking Certifications from Cisco and/or Juniper.
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Experience in data science and machine learning for retail & e-commerce, optimization modelsExperience in NLP, LLM, VAG, ICL, COT and recommendation systemsExperience in Python, Spark, Scala, or R, using open-source frameworks (for example, scikit learn, tensor flow, Pytorch)Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open-source libraries and frameworksSignificant proficiency in SQL and languages like Python, PySpark and/or Scala.
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Consideration for Top Candidates: AWS Certified Solution Architect – Professional (and/or) AWS Certified Machine Learning Specialty. Job Summary: This Lead Software Engineer will be part of the emerging technologies workstream to explore new technology products in software engineering and Generative AI (GenAI) solutions.
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Expertise in designing and developing software applications in java and python including experience with microservices (spring boot and/or Flask) Adopt the new features in cloud / software product / Languages and share the reference pattern.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Lead Software Engineer, Emerging Tech page is loaded. Mentor and assist software engineers, providing technical assistance and direction as needed. Software Product Design/Architecture: Knowledge of software product design; ability to convert market requirements into the software product design.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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