Natsoft

Natsoft

AI ML Engineer

Malvern, Pennsylvania · Senior

Sponsorship not specifiedDetected 77 days ago
PythonCode ReviewAWSGCPAzureCloud PlatformsDockerKubernetesMachine LearningDeep LearningTensorFlowPyTorchscikit-learnNLPLLMsRAGMLOpsStatisticsA/B TestingResearchLeadershipCollaborationMentoring

Stay score

odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

94% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 89 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: VERIZON · MORGAN STANLEY · FREDDIE MACFiles as an H-1B dependent employer.

Green-card follow-through: 100%

Of 11 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 415 days.35% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

13 transfer filings in the last year, covering 13 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • • Provide hands-on technical leadership by designing, developing, and deploying ML/LLM/GenAI solutions from concept through production, maintaining ownership for reliability and operability once deployed
  • • Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.

Nice to have

  • Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.
  • Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
  • Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
  • Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
  • A portfolio showcasing successful applications of generative models in NLP projects, including examples of utilizing OpenAI APIs for prompt engineering.
  • Familiarity with the financial services industries.
Apply directly at Natsoft →Create a free account for alerts like thisView Natsoft immigration profile

This listing is sourced directly from Natsoft's careers page and normalized into a canonical job model.