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Your expertise in machine learning, deep learning, natural language processing (NLP), and generative AI will be crucial in guiding the development and deployment of advanced AI solutions.
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SummaryAs a Lead Machine Learning Engineer, you will play a pivotal role in leading and driving the implementation of advanced analytics that delivers communications intelligence that will drive actionable insights and solutions as part of our FinTech and RegTech Product portfolio.
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We ensure that learning and development are embedded in all areas of the CCO organization: training, talent development, leadership development, continual learning, and career pathing.
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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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Minimum of 2 years’ experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.) Digital Factory Strategy – Industry 4.0, IoT platform, artificial intelligence, machine learning, prescriptive maintenance, connected devices, connected workers, blockchain, etc.
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This role requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks like Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments and also being part of customer success teams.
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Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths. Partnering with CapTech business development team to demonstrate CapTech’s technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans.
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Collaborating with client stakeholders and development staff to ensure data architecture recommendations maximize the value of client data across the organization. Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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You are passionate about development and have a strong background with applying instructional design and adult learning principles to create instructional courses, assessments, job aids, and other learning deliverables.
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Develop internal APM product utilizing the latest anomaly detection machine-learning algorithms for predicting machine failures. Work with plant engineers located globally to solve business challenges related to forecasting the breakdown of the machines using sensor data analysis techniques such as Vibration Analysis, Motor Circuit Analysis, Oil Analysis, and Infrared Thermography.
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Proven experience in machine learning, with a strong focus on Natural Language Processing (NLP). Experience with cloud platforms like Google Cloud AI Platform, Amazon SageMaker, or Microsoft Azure Machine Learning.
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As a Machine Learning Engineer you will research, develop, and support the machine learning models that allow our devices to decode evidence like a detective and define how non-violent crime is eliminated.
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Engineering Mechanics and Infrastructure (EMI) applies engineering mechanics, materials science, numerical simulation, innovative technologies, and collective expertise to solve our clients' toughest problems in an inspiring work environment that nurtures life-long learning and growth.
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Full oversight in the performance management process which will include learning development, goal setting, feedback, rating management, and communications. Demonstrated leadership capabilities, including the ability to inspire and motivate teams, drive change, and foster a culture of continuous learning and development.
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Lead team stand-ups, facilitate Proposal Kickoff meetings, conduct JIT writer training, and guide storyboard/annotated outline development sessions and color reviews for USAID and international development proposals.
$83,000 - $132,000 a year (equity)Full-timeExpandApply NowActive JobUpdated Today
training learning and development machine jobs Title: development Company: Magical Tome Inc in Atlanta, GA
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