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Job Description Torch Technologies is seeking a Counter- small Unmanned Aircraft Systems (C-sUAS) Capabilities Analyst. Employment at Torch Technologies is contingent upon the successful completion of a comprehensive background check.
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We believe this has led to us being the fortunate recipient of countless awards for our culture and ethics, including Best Places to Work , a Top Workplace nationally, and the Better Business Bureau’s Torch Award for outstanding ethics.
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DC Drives knowledge a plus and Welding techniques (Fillet Weld, Butt Weld, Weld Joints, Weld Types, Weld Edges, Welding Groove, Stringer and weaving beads, torch angle, forehand and backhand). Experience using a variety of welding equipment, system software (Siemens, Allen Bradley PLC Systems and WPS etc.
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This mechanic also cuts and bends tubing to correct length and shape, using cutting and bending equipment and tools, cuts and threads pipe, using machine threading or hand-threading equipment, joins tubing or pipes to various refrigeration units by means of sleeves, couplings or unions, and solder joints, using torch, forming complete circuit for refrigerant, installs expansion and discharge valves in circuit.
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And tools; cut and thread pipe, using machine-threading or hand-threading equipment; join tubing or pipes to various refrigerating units by means of sleeves, couplings or unions; and solder joints, using torch, forming complete circuit for refrigerant.
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Duties:Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C.
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Proven experience as a Welder with relevant work experience Preferred Skills Strong electrical trouble shooting, conveyor and control system Experience using a variety of welding equipment, system software (Siemens, Allen Bradley PLC Systems and WPS etc.
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Torch Technologies is seeking an Operations Analyst with Subject Matter Expertise (SME) in military Operations and a basic understanding of Counter - Unmanned Aircraft Systems (C-UAS) to support the HQDA G-3 DAMO-Fires team and as necessary, the Department of Defense's newly established Joint Counter-small Unmanned Aircraft Systems Office (JCO.
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Demonstrated experience with TensorFlow, Keras, Torch, or other Deep Learning tools and frameworks. Demonstrated experience with TensorFlow, Keras, Torch, or other Deep Learning tools and frameworks.
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May operate cutting torch or welding equipment to cut to join metal parts. repair including plumbing, electrical, painting, welding, boiler, refrigeration repair and pipe-fitting. Installs, maintains, and repairs machinery, equipment, physical structures, pipe and electrical systems following specification, blueprints, manuals, schematic drawings, using hand tools, power tools, hoist, crane and measuring and testing instruments.
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Experienced in ML Model performance testing and hyperparameter tuning (Tensorboard, wandb, mlflow)- Experience training ML models with GPU acceleration in a containerized environment using common AI frameworks such as Tensorflow or Torch.
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Torch Technologies is seeking a Counter- small Unmanned Aircraft Systems (C-sUAS) Test officer. Torch Technologies is proud to offer a stable and professional work environment, a competitive salary, and an excellent, comprehensive benefit package including: ESOP participation, 401(k) match and safe-harbor contribution, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, Health Saving Accounts and Health Reimbursement Accounts, EAP, education assistance, paid time off, and holidays.
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Experience in deep learning and worked in TensorFlow and Torch. Experience in deep learning and worked in TensorFlow and Torch. Embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance.
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Reporting directly to the Regional Safety Director or Regional Safety Manager, the Site Safety Manager administers the Clune Safety Policy and provides direction for the Clune Safety Program. The Site Safety Manager performs overall safety management and support functions for a local construction project.
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Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C.
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torch job in Arlington, VA
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