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Ford Motor Company
Ford Motor Company
H1B vizos rėmėjasKonsultavimasLogistikaRinkodara
„Ford Motor Company“ yra Jungtinėse Amerikos Valstijose veikianti automobilių gamintoja, kurios istorija prasidėjo 1903 metais. Be transporto priemonių kūrimo ir gamybos, bendrovė plečia dėmesį į judumo paslaugas, skaitmeninę patirtį ir programinę įrangą. „Ford“ taip pat vykdo tvarumo iniciatyvas ir siekia aplinkosaugos tikslų, atspindėdama požiūrį, siejantį transportą, inovacijas, poveikį bendruomenei ir atsakingą verslo praktiką.
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Darbai įmonėje

Data Scientist, NLP and Generative AI at Ford, India Hybrid

Develop NLP, LLM, and generative AI products for automotive use cases at Ford. Build multimodal pipelines, agentic workflows, APIs, and user-facing applications at scale.

INIndijaHibridinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųDuomenų mokslininkas
AirflowApacheBigQueryDebesijaDjangoDockerElasticsearchFlaskGoogle Cloud PlatformKubernetesNumpyPandasPythonPyTorchReactScikit-LearnSparkTensorFlowTerraform

Aprašymas

  • Create NLP, LLM, and generative AI applications and products with disciplined coding practices.
  • Evaluate advanced models and methods for automotive applications.
  • Run machine learning experiments for model training and inference under memory and latency constraints.
  • Deploy NLP REST APIs and lightweight user interfaces with Docker and Kubernetes.
  • Present NLP, LLM, and generative AI applications using Dash, Plotly, and Streamlit.
  • Combine multiple bots into multimodal, LLM-powered applications.
  • Create agentic workflows with Autogen, AgentBuilder, and LangGraph.
  • Develop modular AI and machine learning products designed for scalable consumption.
  • Collaborate with global technical experts on classification, question answering, chatbots, translation, semantic search, and summarization products.

Reikalavimai

  • Bachelor’s or master’s degree in computer science, engineering, mathematics, or a related science field.
  • Understanding of deep learning theory and practices for NLP applications.
  • Programming experience with ADK, A2A, AgentSkills, Ontology, Hugging Face, LangGraph, LangChain, Chainlit, TensorFlow or PyTorch, scikit-learn, NumPy, and Pandas.
  • Familiarity with at least two open-source NLP libraries, such as spaCy, TorchText, fastai.text, or FARM Haystack.
  • Knowledge of text processing techniques including regular expressions, token and word analysis, spelling correction, noise reduction, sentence segmentation, and clustering.
  • Hands-on deployment experience with BERT or other fine-tuned transformer models for sequence classification, named entity recognition, or question answering.
  • Familiarity with Docker and pipenv, conda, or Poetry environments.
  • Knowledge of Python project management practices including setup.py, logging, pytest, relative imports, and Sphinx documentation.
  • Familiarity with GitHub workflows.
  • Experience with GCP services including BigQuery, Cloud Functions, Cloud Run, Cloud Build, and Vertex AI.
  • Working knowledge of open-source tools for benchmarking and summary generation.
  • Experience using GPU and CPU resources in cloud and on-premises environments.
  • Ability to use cloud platforms for data engineering, big data, and machine learning workloads.
  • Experience with Docker, docker-compose, and experimental Docker capabilities.
  • Familiarity with Airflow and Kubeflow.
  • Experience with CI/CD and infrastructure-as-code tools such as Terraform.
  • Experience with Kubernetes or other container platforms, including Helm and Argo Workflows.
  • Ability to create compliant, ethical, secure, and safe AI APIs.
  • Experience developing user interfaces or visualizations with Gradio, Dash, Streamlit, React, or Django.
  • Distributed computing experience with Spark, Dask, RAPIDS AI, or cuDF.
  • Ability to build Python APIs with FastAPI, Flask, or Django.
  • Experience with Elasticsearch and Apache Solr is advantageous; experience with vector databases is also relevant.
  • Experience working with LLMs such as GPT-5, Gemini, Kimi, or Seedance.
  • Experience across the full generative AI model lifecycle, including training, testing, deployment, and performance monitoring.
  • Experience developing and maintaining multimodal AI pipelines for text, image, and audio.
  • Practical experience deploying chatbots or conversational agents at scale across varied data sources.
  • Experience creating image generation or translation tools with latent diffusion models such as Stable Diffusion or Instruct Pix2Pix.
  • Expertise working with large-scale structured and unstructured data.
  • Experience managing large-scale generative AI datasets and outputs.
  • Strong communication and collaboration skills across geographic regions.

Susiję darbai

Bloomlife Inc

Remote Account Sales Executive, Healthcare

Bloomlife Inc
11 – 50 Darbuotojai
Dirbtinis intelektasSveikatos draudimasSveikatos priežiūra
USJungtinės ValstijosNuotolinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųPardavimai

Grow Bloomlife’s remote maternal-fetal monitoring business by selling remote patient monitoring solutions to OB/GYN practices and health systems. Manage the full sales cycle, from prospecting and clinical presentations to contract negotiations and deployment handoffs.

Atidaryti
Illumina

Clinical Sales Specialist, Genomics — Thailand, Indonesia and Vietnam

Illumina
5 001 – 10 000 Darbuotojai
H1B vizos rėmėjasGamybaKonsultavimasSveikatos priežiūra
THTailandasNuotolinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųPardavimai

Support Illumina’s clinical genomics sales across Thailand, Indonesia and Vietnam, advising customers on applications, workflows and products. The role spans reproductive and genetic health, oncology, customer development and regional market growth.

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Trane Technologies

Senior Executive Assistant, Digital Leadership

Trane Technologies
B2BEnergetikaGamyba
USJungtinės ValstijosMNMinesotaNCŠiaurės Karolina
61 300 $ – 109 655 $ / metai
HibridinisVisas etatasVyresnysis specialistasVadovasPrivaloma Kalba: anglųVadovo asistentas

Support Trane Technologies’ Digital leadership team by coordinating executive schedules, travel, meetings, communications, and procurement. The role covers leaders across the United States and requires on-site work in White Bear Lake, Minnesota, Monday through Thursday.

Atidaryti
GlobeLife

Remote Customer Retention Representative

GlobeLife
1 – 10 Darbuotojai
MokslasSveikatos priežiūraŠvietimas
USJungtinės ValstijosNuotolinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųKlientų išlaikymo specialistasKlientų sėkmė

Help Globe Life policyholders keep their coverage and restore lapsed life insurance policies in this remote customer retention role. Handle inbound and outbound calls, discuss coverage and payment options, document outcomes, and meet retention targets.

Atidaryti