LogoFresh Jobs Ahead
Target
Target
Sponzor vizuma H1BB2CE-trgovinaMaloprodaja
Target je velik ameriški trgovec na drobno, ki potrošnikom ponuja storitve prek trgovin in digitalnega poslovanja. Podjetje, ustanovljeno leta 1946, združuje maloprodajo, e-trgovino in izkušnje, osredotočene na potrošnike, s poudarkom na vrednosti, oblikovanju, inovacijah in priročnem nakupovanju. Velika organizacija Target združuje ekipe, ki delujejo na različnih področjih maloprodaje, ter podpira skupnosti z odgovornimi korporativnimi praksami, skrbjo za okolje, etičnim poslovanjem in dobrodelnimi prispevki.
LinkedIn
Delovna mesta v podjetju

Senior Lead Machine Learning Engineer, Applied AI and LLMs

Lead the development of production AI and machine learning applications for Target’s retail business. Provide hands-on technical direction across LLMs, applied ML, system architecture, deployment, and operations.

USZdružene države AmerikeCAKalifornijaMNMinnesota
132.000 $ – 286.000 $ / leto
HibridnoPolni delovni časSeniorZahtevani Jezik: angleščinaInženir strojnega učenja
OblakPythonPyTorchTensorFlow

Opis

  • Build and operate AI and machine learning applications that automate workflows and deliver useful insights.
  • Collaborate with data scientists, engineering, product, platform, security, and business teams.
  • Translate loosely defined business needs into practical, scalable technical solutions.
  • Lead AI engineering work through hands-on technical contributions.
  • Help guide architecture and design decisions.
  • Assess and select suitable models, frameworks, and tools.
  • Develop maintainable code that meets production standards.
  • Set practices for development, testing, deployment, observability, documentation, and ongoing support.
  • Keep AI applications secure, dependable, maintainable, and consistent with enterprise standards.
  • Work with senior engineers and leaders to define technical approaches, surface implementation risks, clear obstacles, and develop reusable AI engineering patterns.
  • Keep up with developments in AI, machine learning, LLMs, agent-based systems, and software engineering.
  • Deliver production-ready AI applications with measurable business impact while strengthening the team’s technical skills and practices.

Zahteve

  • A four-year degree in a quantitative field such as science, technology, engineering, or mathematics, or equivalent industry experience.
  • A master’s degree in computer science, machine learning, artificial intelligence, applied mathematics, or a related technical field is preferred.
  • At least five years of hands-on software engineering experience, including building and operating production systems.
  • Strong experience developing AI and ML applications, such as LLM-powered products, agent-based systems, applied ML solutions, data-intensive applications, or intelligent automation.
  • Proficiency in Python and experience with modern AI, ML, or deep learning frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, or Semantic Kernel.
  • Experience with model APIs, prompt orchestration, agent development, retrieval-augmented generation, evaluation frameworks, observability tools, cloud ML platforms, containers, or orchestration technologies.
  • Strong understanding of system design, application architecture, model and framework tradeoffs, experimentation, evaluation, performance optimization, and production deployment for AI systems.
  • Experience building scalable, maintainable, well-tested services, APIs, data pipelines, applications, or platforms.
  • Experience with version control, CI/CD, code review, documentation, operational monitoring, and production support.
  • Ability to turn unclear business needs into defined technical approaches and work effectively with cross-functional partners.
  • Strong communication skills, including explaining technical concepts to engineers, data scientists, product partners, business stakeholders, and leaders.
  • Ability to mentor engineers, help set technical direction, and improve engineering practices.
  • Self-directed and results-oriented, with strong ownership, sound judgment, and the ability to move quickly while maintaining high technical standards.
  • Collaborative approach, with commitment to continued learning, knowledge sharing, and building reliable AI systems.
  • Work must be performed within the country of the primary work location unless Target specifies otherwise.

Ugodnosti

  • Comprehensive health programs that may include medical, vision, dental, life insurance, and more.
  • 401(k) plan.
  • Employee discount.
  • Short-term disability coverage.
  • Long-term disability coverage.
  • Paid sick leave.
  • Paid national holidays.
  • Paid vacation.
  • Financial, education, and well-being benefits.

Sorodna delovna mesta

Swan

KYC Supervisor, French Market

Swan
51 – 200 Zaposleni
Sponzor vizuma H1BAPIB2BFintech
FRFrancijaHibridnoPolni delovni časSrednja ravenSeniorZahtevani Jezik: nemščinaZahtevani Jezik: angleščinaZahtevani Jezik: španščinaZahtevani Jezik: francoščinaZahtevani Jezik: italijanščinaZahtevani Jezik: nizozemščinaFinančni kriminal

Lead KYC and KYB reviews for the French market, resolving complex cases and coaching a compliance team. Help Swan scale its embedded banking operations while working within regulated financial services.

Odpri
Veradigm®

Digital Client Success Manager

Veradigm®
1001 – 5000 Zaposleni
SaaSZdravstveno varstvoZdravstveno zavarovanje
USZdružene države AmerikeNCSeverna KarolinaHibridnoPolni delovni časJuniorSrednja ravenDiploma ni potrebnaZahtevani Jezik: angleščinaUspeh strankVodja uspeha strank

Manage a digitally supported portfolio of healthcare technology customers at Veradigm, using customer health signals and structured playbooks to guide engagement. Support adoption, retention, renewals, and growth through risk management and coordination with internal teams.

Odpri
Titan Wealth Holdings

Regional Client Services Manager

Titan Wealth Holdings
201 – 500 Zaposleni
Sponzor vizuma za kvalificirane delavceFinanceSvetovanjeZavarovanje
GBZdruženo kraljestvoHibridnoPolni delovni časJuniorSrednja ravenDiploma ni potrebnaZahtevani Jezik: angleščinaPredstavnik podpore strankamStoritve za poslovne stranke

Lead regional client service teams at Titan Wealth, a UK wealth management business. Oversee managers, operations, compliance and service improvements across multiple offices.

Odpri