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Patrick Javier

Benchmark IT - Technology Talent
4.77
from 104 reviews
96% highly recommended

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Jobs
Associate Applied AI Engineer - Hybrid - Full-time
Norwalk, Connecticut, United States
DIRECT HIRE
  • TERMS: direct hire
Job Description   We have a terrific opportunity with our direct client near Norwalk, CT, for an AI Engineer.    For this firm, a very well-established and successful company which is building internal AI capabilities, we're looking for an Associate Applied AI Engineer to help turn business problems into real, working AI and ML solutions. You'll bring a strong foundation in data science and machine learning, and a software engineer's mindset for building things that actually ship. Working alongside senior engineers and stakeholders, you'll explore data, build models, and contribute to AI-powered features that make the business smarter. As we expand into LLM-powered workflows and agentic AI, you'll have the opportunity to grow into these areas by learning new tools, patterns, and frameworks.  Key Responsibilities 
  • Translate business problems into clear analytical approaches and solution designs 
  • Wrangle datasets and engineer features to support ML modeling and AI workflows 
  • Build, evaluate, and iterate on ML models (forecasting, classification, optimization) 
  • Support the development of LLM-based workflows and emerging agentic AI patterns as these initiatives ramp up 
  • Contribute to deploying, monitoring, and maintaining AI and ML workflows in production, working closely with senior engineers 
  • Stay curious about new AI development tools and frameworks, and bring them into our workflows where they fit 
Skills and Qualifications 
  • Master's degree in Data Science, Computer Science, AI, or a related field 
  • 0–2 years of professional experience in data science, machine learning, or AI engineering (internships and thesis-level projects count) 
  • Strong foundation in machine learning and applied statistics 
  • Proficiency in Python and SQL, with the ability to write production-grade code 
  • Familiarity with data pipelines and orchestration tools (e.g., Airflow, Prefect) 
  • Exposure to agentic AI patterns a plus but more importantly, a genuine eagerness to learn and adopt new AI tools and techniques as the field evolves 
  • Strong problem-solving skills and an analytical mindset 
This is a hybrid position 3-4 days a week in our client's office near Norwalk, CT.   Visa Sponsorship is not available for this position.  By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: https://bmarkits.com/privacy-policy/

Lead Data Product Engineer - Hybrid - Full-time
Norwalk, Connecticut, United States
DIRECT HIRE
  • TERMS: direct hire
For our direct client near Norwalk, CT, we seek a Lead Data Product Engineer to build the foundation that makes data and AI products possible. In this role, you'll design and maintain the centralized datasets, pipelines, and integrations that connect modern AI-enabled and AI-first systems with the existing tools our business runs on. Partnering with engineering, analytics, and business stakeholders, you'll identify gaps, establish trusted sources of truth, and simplify how data moves across the organization. You'll also be bringing engineering rigor to data and AI workflows through best practices in versioning, testing, observability, and deployment.  Key Responsibilities 
  • Identify gaps in the current data ecosystem and chart a pragmatic path forward 
  • Establish and maintain centralized, well-defined datasets as sources of truth 
  • Map and document end-to-end data models, flows, and dependencies across systems, tools, and products 
  • Build data pipelines using Python, SQL, and orchestration tools (e.g., Prefect) 
  • Design and implement integrations between AI systems and existing systems 
  • Support production AI workflows, ensuring reliability, scalability, and observability 
  • Partner with stakeholders to standardize how data moves across the organization 
  • Implement guardrails for data quality, consistency, and lineage 
  • Introduce best practices around versioning, testing, deployment, and monitoring of production data and AI systems 
Skills and Qualifications 
  • 5+ years of engineering experience focused on data systems and pipelines 
  • Strong proficiency in Python, SQL, and orchestration tools 
  • Experience designing scalable data platforms and turning fragmented data into reliable, centralized datasets, with strong system design and data modeling skills 
  • Ability to design integrations across disparate systems (APIs, databases, third-party platforms) with a clear grasp of end-to-end data flows 
  • Familiarity with data quality, lineage, and observability practices for building resilient production systems 
  • Experience supporting AI/ML workflows in production 
  • Ability to take end-to-end ownership, and collaborate effectively with cross-functional stakeholders 
This position is a hybrid position, 3-4 days a week onsite.   Visa sponsorship is not available for this role.  Relo assistance could be an option. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: https://bmarkits.com/privacy-policy/