AI & Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI & Data Engineer (AI): Developing data and AI-driven applications using foundation models and large language models with an accent on NLP, text-based solutions, and tooling for pipeline creation, code generation, and deployment. Focus on integrating AI and data capabilities into enterprise systems, APIs, business workflows, and partner platforms.
Location: Must have the ability to work without a need for current or future visa sponsorship in the United States.
Company
brings together innovation, collaboration, and expertise to help solve complex business challenges and drive meaningful outcomes.
What you will do
- Build demos, Proof of Concepts (POCs), and Minimum Viable Products (MVPs) to validate use cases and demonstrate business value.
- Translate solution designs into production-ready code and deployable architectures.
- Integrate AI and data capabilities with enterprise automation, observability, and FinOps platforms to enable end-to-end workflows and outcomes.
- Support both pre-sales activities and post-sales implementations as part of ’s Build motion.
- Design, build, and optimize data pipelines to support AI models and analytics use cases.
- Implement and optimize foundation models and LLMs for performance, scalability, and cost efficiency.
Requirements
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Strong proficiency in Python; additional languages are a plus.
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
- Hands-on experience with data manipulation using Pandas, NumPy, and Scikit-learn.
- Experience designing and working with data pipelines, data processing frameworks, and distributed data systems.
- Must have the ability to work without a need for current or future visa sponsorship.
Nice to have
- Experience with technologies such as watsonx.ai, watsonx.data, watsonx Orchestrate, and Project Bob, or similar AI, data, and automation technologies used to accelerate solution development and deployment.
- Experience with enterprise platforms such as Confluent (Kafka), HashiCorp (Terraform, Vault), Apptio/Cloudability (FinOps), Instana (observability), Turbonomic (optimization), or similar technologies supporting event-driven architectures, automation, monitoring, and cost optimization.
- Familiarity with RAG architectures, vector databases, and embeddings.
Culture & Benefits
- Access to healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being.
- Financial programs such as 401(k), cash balance pension plan, the Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs.
- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with Policy, and other Paid Care Leave programs.
- Training and educational resources on our personalized, AI-driven learning platform where ers can grow skills and obtain industry-recognized certifications to achieve their career goals.
- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences.
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