Immersion Data Solutions Linkedin Jobs in Usa

Role: Principal AI Solution Architect

Location: Houston, TX, 77086 - Onsite

Duration: Long term Contract

Job Description:

Key Responsibilities:

• Partner with business and technical stakeholders to identify and implement agentic AI and machine learning solutions that improve decision making, workflows, and automation
• Design and implement cloud native AI architectures using Microsoft Azure services and established AI design patterns
• Collaborate with Data Scientists and other AI Engineers to transform prototypes into production ready, scalable solutions
• Build, deploy, and operate enterprise scale machine learning pipelines, emphasizing reliability, performance, and security
• Orchestrate and configure infrastructure that enables low latency, resilient AI workloads, leveraging infrastructure as code and automation
• Contribute to reusable accelerators, templates, and patterns that improve delivery speed and consistency across teams
• Support CI/CD, monitoring, and operational practices for AI and ML systems in production environments

Required Technical Skills:

• Strong experience with Microsoft Azure, including AI/ML services and cloud native architectures
• Hands on experience deploying and operating ML pipelines using Azure Machine Learning
• Proficiency in Python and modern software engineering practices
• Experience with automation and configuration management, including Ansible
• Solid understanding of MLOps, model lifecycle management, and CI/CD for AI systems
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
• Working knowledge of security, identity, and access control in enterprise cloud environments

Preferred Skills:

• Experience with Microsoft Foundry
• Experience implementing or operating agentic AI systems
• Familiarity with data engineering tools such as Databricks, Spark, Azure Data Factory
• Experience integrating AI services (e.g., cognitive services, computer vision, unstructured data processing)

Experience Requirements:

• 5+ years of experience in software engineering, AI engineering, or machine learning engineering roles
• Proven experience delivering production AI or ML solutions in a cloud environment
• Experience collaborating with cross functional teams across data science, engineering, and architecture

Ways of Working:

• Ability to work independently as a contractor while integrating effectively with existing teams
• Strong communication skills, with the ability to explain complex technical concepts clearly
• Results oriented mindset with a focus on delivering business value quickly and reliably.

JOB DESCRIPTION

Job Title: IT Solution Architect – Supply Chain & Finance

Location: Remote (Candidates local to Corning, NY or Charlotte, NC preferred) (W2 Contract)

Work Hours: Full-time, Monday–Friday, 8:00 AM – 5:00 PM (EST)

Duration: 1 Year Contract (Extension Possible)

Travel: Up to 25% travel to Corning, NY (approx. one week/month based on project needs)

Interview Process: Phone followed by video round

Position Summary

The IT Solution Architect for Supply Chain and Finance is responsible for designing, developing, and guiding implementation of enterprise technology solutions supporting financial and supply chain processes.

This role collaborates with business stakeholders and cross-functional IT teams to ensure solutions are scalable, secure, and aligned with organizational strategy. The architect drives operational excellence by shaping solution roadmaps, maintaining platform integrity, and enabling continuous improvement across finance and supply chain applications.

Key Responsibilities

Solution Architecture & Design

• Develop end-to-end architectural designs aligned with business objectives.
• Assess existing applications and recommend modernization and integration strategies.
• Ensure compliance with security, data governance, and enterprise architecture standards.

Business Partnership & Collaboration

• Work closely with Finance, Supply Chain, and IT stakeholders to translate business needs into technical solutions.
• Participate in cFIN review sessions and architecture discussions.
• Provide subject matter expertise on financial systems including OneStream and related platforms.

Technical Leadership & Support

• Act as technical lead for implementations, enhancements, and integrations.
• Resolve escalated issues and perform root-cause analysis.
• Partner with engineering and operations teams to ensure system resilience and performance.

Governance, Standards & Documentation

• Contribute to architecture standards and best practices.
• Maintain architectural documentation, roadmaps, diagrams, and integration models.

Continuous Improvement & Innovation

• Evaluate emerging technologies for automation and efficiency improvements.
• Support modernization initiatives aligned with digital transformation goals.

Required Qualifications

• Bachelor's degree in IT, Computer Science, Engineering, or related field.
• 5+ years of experience as a Solution Architect with financial systems.
• Proven experience architecting solutions in enterprise finance and/or supply chain environments.
• Deep knowledge of financial platforms such as:
• OneStream
• SAP cFIN (Central Finance)
• Similar enterprise finance platforms
• Familiarity with SAP finance and supply chain modules.
• Strong understanding of integrations, data flows, and enterprise ecosystems.
• Ability to communicate complex technical concepts to business stakeholders.

Key Competencies

• Strategic Thinking
• Technical Architecture Expertise
• Communication & Stakeholder Influence
• Problem Solving
• Execution & Delivery Management

Preferred Qualifications

• Experience in global, matrixed organizations.
• Knowledge of data governance and security protocols.
• Experience leading architecture workshops and stakeholder sessions.

Overview

We are seeking a Data Center MEP Engineer (Mechanical, Electrical, and Plumbing) to provide exceptional design and project management services for data center projects. The ideal candidate will lead internal design teams, work in a client-facing project management position, and manage various projects from concept to completion. This role is critical for ensuring that the data center’s infrastructure is designed to meet the demands of its operations while also being energy-efficient and environmentally friendly.

Employment is project based on the estimated project duration of one year. Extension is possible, although not guaranteed. This is hourly exempt and benefits eligible, including full Medical, Dental, Vision, 401K, Life, Education opportunities, and more.

Key Responsibilities

• Lead design, integration, and delivery of MEP systems (HVAC, UPS, generators, cooling, CDUs, BMS, fire protection) across high-density mission-critical environments.
• Manage both internal and external stakeholders, ensuring design scalability, while ensuring safety requirements are met.
• Drive performance optimization, reliability, and compliance with IEC, IEEE, NFPA, and ASHRAE standards.
• Define HVAC technical requirements and coordinate with other teams.
• Develop office design standards for Data Center and Mission Critical sectors.
• Collaborate across disciplines to create integrated technical solutions.
• Coordinate with Energy Modeling teams to optimize energy efficiency and carbon reduction.
• Serve as client-facing representative on behalf of JB&B and Trinity to offer additional support, leading project with a solutions-based mindset.

Requirements

• Bachelor's Degree in Mechanical Engineering or Electrical Engineering required.
• Data Center experience required.
• 5 years of experience in facility design and construction environments.
• Experience in design, construction, and commissioning of data center HVAC systems.
• Professional Engineering (PE) license preferred.
• Strong knowledge of liquid-cooling systems and energy efficiency metrics (PUE/WUE).

Job Title: Safety / Red Teaming Data Labeling Analyst III (DLA III)

Company: Meta AI (via Tundra Technical Solutions)

Location: Hybrid – 3 days onsite per week

Pay Rate: $30/hr USD

Experience Required: 4+ years

Contract: 3 months to start (Extension likely)

About the Role

Tundra Technical Solutions is hiring on behalf of Meta AI for a Safety / Red Teaming Data Labeling Analyst III (DLA III) to support AI model development and evaluation. This role is focused on improving model safety, quality, and reliability through data annotation, auditing, and adversarial testing.

You’ll work closely with cross-functional teams to evaluate model outputs, identify risks, and help strengthen safety systems through structured red-teaming efforts.

Key Responsibilities

• Execute high-quality data annotation and evaluation across multi-modal datasets
• Perform QA auditing, including sampling, inter-annotator alignment, and error analysis
• Design and run red-teaming / jailbreak prompts to test model safety across sensitive domains
• Analyze model outputs to identify policy violations, risks, and edge cases
• Apply knowledge of global political systems, events, and actors to inform content evaluation and policy enforcement
• Collaborate with stakeholders to improve labeling guidelines and model performance

Required Qualifications

• 4+ years of experience in data annotation, labeling, or evaluation
• Proven experience with QA auditing methodologies (sampling, alignment, error analysis)
• Hands-on experience with safety-focused red-teaming or adversarial testing
• Strong understanding of US and global political landscapes and current events
• Ability to apply policy frameworks to risk identification and content evaluation

Preferred Qualifications

• Experience working with LLMs (Large Language Models)
• Bachelor’s degree (preferred, not required)

Why Apply?

• Work at the forefront of AI safety and model evaluation
• Opportunity to contribute to large-scale AI systems at Meta AI
• Collaborative, fast-paced, and impactful environment

How to Apply

If you’re interested, please apply directly or share your resume and availability for a screening call at

Data Scientist

Phoenix AZ (Hybrid).

Role Summary

Data Scientist responsible for translating business requirements into actionable insights, independently developing machine learning models, designing end-to-end MLOps pipelines, and ensuring AI governance and compliance for deployed solutions.

Must Have: Python, R , ML/OPS

Key Responsibilities

• Gather and understand business requirements; convert them into analytical solutions aligned with business objectives.
• Develop, validate, and optimize statistical, probabilistic, and traditional ML models independently.
• Design and implement end-to-end MLOps pipelines including CI/CD (GitHub Actions) and cloud deployments using Kubernetes.
• Manage model lifecycle including deployment, monitoring, retraining, and versioning.
• Ensure AI governance, compliance, model documentation, explainability, and audit readiness for existing and new models.
• Collaborate with onshore/offshore teams to ensure clear ownership and timely delivery.
• Provide regular progress updates and present solutions to clients and stakeholders.
• Mentor junior data scientists and promote best practices.

Interested in helping build the next phase of hyperscale data center expansion?

BlueSky Resource Solutions is partnering with a leading infrastructure services provider who is seeking a Regional Director of Data Center Infrastructure to oversee delivery operations within a major hyperscale market.

This role will lead ISP deployments within data center environments while building operational processes, developing field teams, and ensuring high levels of client satisfaction.

The ideal candidate is a hands-on operational leader with experience managing complex infrastructure projects, supporting business growth, and maintaining strong safety, quality, and financial performance standards.

Your project direction:

• Provide leadership for structured cabling and inside plant (ISP) infrastructure projects within large-scale data center environments.
• Oversee project lifecycle activities including planning, staffing, scheduling, quality control, and final project turnover.
• Build and lead field teams including supervisors, technicians, and project support staff.
• Develop and implement operational standards, documentation practices, testing procedures, and installation guidelines aligned with industry standards.
• Maintain strong relationships with enterprise and hyperscale data center customers, ensuring service-level commitments and project milestones are met.
• Collaborate with construction partners, electrical contractors, and facility operations teams to coordinate infrastructure deployment.
• Monitor project financials including labor forecasting, materials planning, change management, and cost control.
• Identify opportunities to improve operational efficiency through standardized processes, prefabrication, and digital reporting tools.

The best fit:

• 8+ years of experience in data center infrastructure, structured cabling, or network deployment environments.
• Experience managing field teams and overseeing multiple projects.
• Demonstrated experience managing project budgets, scheduling, and operational performance metrics.
• Strong client-facing communication and leadership capabilities.
• Industry certifications are considered a plus.
• Ability to meet site access requirements including background screening and safety compliance.

Are you passionate about learning, data, scale, and agility?

We’re looking for motivated professionals who love turning complex data into meaningful insights and business value. If collaboration, innovation, and problem-solving excite you — let’s connect!

What You’ll Do

• Analyze raw data: assess quality, cleanse, and structure for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering teams to bring analytical prototypes to production
• Generate actionable insights that drive smarter business decisions

What We’re Looking For

• Bachelor’s degree (or equivalent experience) in a quantitative field — Statistics, Mathematics, Computer Science, Engineering, etc.
• 1–2 years of experience in quantitative analytics or data modeling
• Strong grasp of predictive modeling, ML algorithms, clustering, and classification techniques
• Proficiency in at least one programming language: Python, C, C++, Java, or SQL
• Familiarity with Big Data frameworks (Hadoop, Spark, Cassandra) and visualization tools (Tableau, Power BI, etc.)

Who Are We?

We are a premier IT consulting firm specializing in delivering top-tier Data Science solutions to companies across various sectors such as finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare.

Company Highlights:

• Our Specialization: Providing IT consulting services.
• Experience: Over 25 years of combined domestic and international expertise in IT consulting serving hundreds of Fortune 1,000 and innovative startup clients.
• Interested in accelerating your tech career through career-enhancing IT consulting experience? Do you meet the required qualifications? If so, apply today! We look forward to hearing from you.

Exceptions Specialist - Data Entry (Political Campaign Support)

Position Type : Contract

Payrate : $22/hr

Work Location

100% On-site in WestLake Village, CA.

Shifts

1. PM : Mon-Fri: 4 pm – 11:45 pm PST
2. AM : Mon-Fr - 8am - 5pm PST
3. Weekends - 8am - 5pm PST.

Position Summary

In this Exceptions role with Campaign Offices, you are the final line of defense for data accuracy. You will review voter signature packets and data entry to spot issues, connect the dots, and decide the correct next step in processing. This is a fast-paced, detail driven role for someone who enjoys solving puzzles, thinking critically, and using deductive reasoning to get to the right answer.

If you like investigating discrepancies, catching what others miss, and making clear decisions based on criteria, you will do well here.

What You Will Do

• Review and compare entered data against original source materials to identify errors, mismatches, and exceptions
• Apply deductive reasoning to determine what happened, why it happened, and what action should be taken next
• Use proprietary software and established criteria to resolve exceptions and keep work moving efficiently
• Investigate patterns and root causes behind recurring issues and document your findings
• Communicate clear feedback and insights that help prevent future exceptions
• Manage physical and digital materials with accuracy, organization, and urgency
• Work independently while collaborating with the team to hit daily goals and maintain quality standards

What We Are Looking For

• Strong deductive reasoning skills and the ability to make accurate decisions using logic and evidence
• High attention to detail and commitment to getting it right the first time
• Ability to stay focused in a fast-paced environment with repetitive work that requires consistency
• Strong organizational skills and material management
• Clear communication skills and a team-first attitude
• Comfort using software tools for data entry, review, and analysis
• Experience in data entry, quality assurance, compliance, or audit-type work is a plus

Contract Details

• 5-month contract assignment paid on an hourly basis
• Full-time schedule with consistent hours (AM or PM Shifts available)
• Work that directly supports a high-impact, time-sensitive campaign operation

What you get:

• Full-time 40 hours per week

• Health benefits with low premiums

• A chance to support meaningful work with a team that moves fast and values accuracy

We are seeking 20+ qualified candidates for an on-site Data Entry contract role with one of my clients in Westlake Village.

Please send resume to: s

LOCATION & SCHEDULE

• Onsite – Westlake Village

• Monday through Friday: 4:00 PM to 11:45 PM

• Weekend option: Saturday and Sunday, 8:00 AM to 4:30 PM

ROLE OVERVIEW – DATA ENTRY

• Reading from physical documents and entering data into a CRM system

• High-volume, accuracy-driven environment

• Must excel in speed and precision

MUST HAVES

• Local and able to work onsite

• Touch typist

• English as a first language with strong reading and writing skills

QUALIFICATIONS

• Strong analytical and deductive reasoning skills

• Exceptional attention to detail and commitment to data accuracy

• Strong organizational and material management skills

• Excellent communication and interpersonal skills

• Ability to work independently and within a team environment

• Proficiency in data entry and data review tools and software

• Previous experience in data entry, quality assurance, or a related role preferred