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Job DescriptionJob Description

Overview

CTG is seeking to fill a Data Scientist – Artificial Intelligence opening for our client in El Segundo, CA.

Location: El Segundo, CA
Duration: 12 months

Duties:

• Architect and deliver AI solutions leveraging foundation models and large models (LLMs).

• Develop and train generative AI models using techniques such as GANs, VAEs, and RNNs.

• Design and implement novel architectures and algorithms for generating high-quality content across multiple modalities (text, image, video, and speech).

• Collaborate with cross-functional teams to integrate AI models into applications such as chatbots, virtual assistants, and content platforms.

• Conduct experiments, analyze results, and optimize model performance.

• Stay current with cutting-edge developments in generative AI, NLP, machine learning, and related fields.

• Work across the full AI project lifecycle, from research and prototyping to production deployment.

Skills:

• Strong programming skills in Python with proficiency in AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face.

• Expertise in generative AI development and training, including GANs, VAEs, and RNNs.

• Experience with natural processing (NLP), image processing, video processing, or voice processing.

• Familiarity with cloud platforms and services (AWS, Azure, GCP, Kubernetes).

• Knowledge of relational and NoSQL databases (SQL, Postgres, DB2, MongoDB).

• Experience with modern UI frameworks (React.js, AngularJS, Backbone.js, etc.).

Experience:

• Hands-on experience developing and deploying generative AI models in real-world applications.

• Strong background in foundation models and large models.

• Experience with tools like GitHub Copilot and Amazon CodeWhisperer.

• Demonstrated ability to collaborate with cross-functional teams in AI solution design and delivery.

• Prior experience in Media & Entertainment industry a plus.

Education:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.

• PhD but not required.

Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or -based recruitment services for this role.

To Apply:
To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you!

The expected base salary for this position ranges from $50.00 to $120.00/hour. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered.

AI Consultant

Hybrid in the Pasadena, California area

Salary: $175,000 - $230,000 base + Bonus

Candidates must be okay with up to 30% travel across the United States

About the Role:

This is a rare opportunity to launch and lead a brand-new AI consulting practice within an established professional services organization that has spent over 20 years building trusted relationships with their clients. You’ll be at the forefront of shaping AI-driven solutions for finance and accounting workflows, from discovery and design through delivery and adoption.

The role blends technical problem-solving with client-facing consulting: you’ll assess client environments, design secure and effective AI-enabled workflows, and oversee delivery with an offshore engineering team. As the practice grows, you’ll define the playbooks, reusable data and agent frameworks, and governance structures that set the standard for how AI is applied across the professional services industry.

About the Company

This firm has a strong reputation in the finance and accounting sector, best known for helping businesses and tax advisors maximize value through specialized services. With an established sales force, robust marketing, and deep relationships in the CPA community, the company is now expanding into AI consulting to create transformative solutions for its clients. You’ll have significant visibility with senior leadership, direct input into how this new practice scales, and the resources of a proven business behind you.

Role Responsibilities

• Build and lead a new AI consulting practice serving CPA firms and finance organizations.
• Design and implement AI workflows for accounting processes such as reconciliations, reporting, and month-end close.
• Establish secure, governed data foundations that enable scalable AI adoption.
• Partner with sales and marketing to engage clients through workshops, demos, and case studies.
• Oversee offshore development teams, ensuring delivery quality and measurable client impact.

Key Skills & Experience

• 7-8+ years of experience in consulting, product delivery, or technology leadership.
• Strong technical expertise with automation platforms, APIs, and data management.
• Hands-on experience with AI/LLM systems, including prompt design and RAG.
• Exceptional communication skills, able to simplify technical concepts for non-technical audiences.
• Proven success leading client engagements from discovery through delivery.

Why Join

This is a greenfield opportunity to build something new within a business that already has deep roots in its market. You’ll have influence at the leadership level, significant resources, and the ability to directly shape how AI impacts the accounting industry. For someone with the right mix of technical expertise, consulting experience, and entrepreneurial drive, this role offers the chance to lead with both vision and execution.

If you seem to be a fit for this position, apply using the link and send an updated resume to Emma at Thank you in advance!

As an AI Engineer at QXO, you will design, build, and operate intelligent agent systems that bring automation and intelligence to our platforms. You will work across model development, orchestration frameworks, and production systems to deliver reliable and scalable AI-powered services. You’ll collaborate with engineering, product, and design teams to translate complex workflows into AI agents that enhance productivity and unlock new customer experiences.

This role is ideal for engineers who are highly technical, hands-on, and excited about building at the frontier of AI and commerce. You should be comfortable with fast iteration, end-to-end ownership, and working in environments with high ambiguity.

Key Responsibilities

• Design, build, and operate AI agents that integrate with APIs, data sources, and QXO’s core platforms.
• Implement frameworks for orchestration, memory, and evaluation of multi-step AI reasoning.
• Fine-tune and optimize large language models for task-specific use cases.
• Deploy and monitor AI systems in production environments with a focus on reliability, safety, and scalability.
• Collaborate with product and design teams to deliver intuitive, AI-powered user experiences.
• Write clean, efficient, and testable code in support of shared libraries and platform components.
• Participate in design and code reviews, continuously improving system quality and operational excellence.
• Contribute to defining best practices for AI evaluation, observability, and responsible use.

Qualifications & Skills

• 3+ years of hands-on software engineering experience.
• Strong programming skills in Python and at least one of Java, Go, or TypeScript.
• Experience building applications with large language models (OpenAI, Anthropic, Llama, Mistral, etc.).
• Familiarity with agent frameworks (LangChain, AutoGen, Semantic Kernel, Haystack, CrewAI) and vector databases (FAISS, Pinecone, Weaviate, Milvus).
• Solid knowledge of data structures, algorithms, system design, and distributed systems.
• Experience deploying and maintaining systems in cloud-native environments (AWS, GCP, or Azure).
• Strong collaboration and communication skills, with experience working cross-functionally.
• Bachelor’s degree in computer science, engineering, or equivalent practical experience.

Preferred Qualifications

• Experience shipping AI-powered products into production.
• Knowledge of evaluation frameworks for agent reliability, bias, and safety.
• Experience with event-driven architectures, APIs, or workflow automation.
• Contributions to open-source AI projects (LangChain, Hugging Face, llama.cpp, etc.).
• Familiarity with experimentation frameworks, personalization systems, or recommendation engines.
• MS or PhD in computer science, machine learning, or related field.

More About QXO

QXO is the largest publicly traded distributor of roofing, waterproofing, and complementary building products in the United States. The company plans to become the tech-enabled leader in the $800 billion building products distribution industry and generate outsized value for shareholders. QXO is targeting $50 billion in annual revenues within the next decade through accretive acquisitions and organic growth. Visit for more information.

In compliance with certain Pay Transparency laws, employers are required to disclose a salary range. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.

What You'll Earn

• Base Salary + Annual performance bonus + LTI / RSU (equity)
• Retirement Benefits: 401k eligible with employer match
• Health Insurance: Medical insurance, prescription drug coverage, vision and dental benefits, as well as life and disability insurance.
• Paid Time Off/Paid Sick Leave: Applicants can expect to accrue 15 days of paid time off during their first year (4.62 hours for every 80 hours worked) and increased accruals after five years of service.
• Paid Holidays: The company recognizes 8 paid holidays and three floating holidays per year.
• Parental Leave
• Annual safety shoe allowance
• Paid training and certifications
• Legal assistance and identity protection
• Pet insurance
• Employee assistance program (EAP)

QXO is an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other protected status.

This position is for full-time, direct-hire employment only. We are not engaging with staffing firms, third parties, C2C arrangements, or independent contractors at this time.

As the Director of Artificial Intelligence, you set the vision for how AI transforms our business. You lead strategy, governance, and execution - turning emerging technologies into enterprise value. We depend on your leadership to scale responsible AI, accelerate innovation, and deliver measurable results across every business function. Your work ensures AI is not just a tool, but a core part of how we operate and grow.

Responsibilities:

• Define and lead the enterprise AI strategy and roadmap, aligning priorities with business goals, operational needs, and BWE's BOLD transformation initiatives.
• Evaluate and select AI platforms, tools, and vendors with emphasis on scalable, secure, and user-empowered solutions (e.g., Microsoft Copilot, Power Platform, OpenAI, Claude).
• Build and maintain a prioritized AI portfolio of projects and use cases across business units, ensuring alignment with revenue generation and operational efficiency goals.
• Serve as a strategic advisor to executive leadership on AI opportunities, risks, investments, and competitive positioning in the marketplace.
• Lead the governance and ethics framework for AI use across the organization, partnering with BWE's AI Center to ensure responsible AI deployment.
• Collaborate with data, engineering, security, and business leaders to operationalize AI solutions while maintaining regulatory compliance and risk management standards.
• Drive the Scale Agentic AI BOLD initiative by identifying, prioritizing, and overseeing deployment of AI agents across core business functions.
• Partner with Head of AI Experience and Head of Change Acceleration to ensure successful AI adoption and user enablement across the organization.
• Research and evaluate emerging AI technologies and market trends to maintain BWE's competitive advantage and innovation leadership.
• Establish AI performance metrics and ROI measurement frameworks to demonstrate business value and guide investment decisions.
• Lead, coach, and develop AI team members while building organizational AI capabilities and technical expertise.
• Ensure AI implementations meet security, privacy, and regulatory requirements specific to the CRE industry.

Near-Term Deliverables:

• Conduct comprehensive AI readiness assessment across BWE identifying current capabilities, gaps, and strategic opportunities with prioritized implementation roadmap.
• Develop and implement AI governance framework addressing model risk management, data privacy, algorithmic bias, and ethical AI deployment standards.
• Launch Scale Agentic AI initiative by identifying and deploying 3-5 high-impact AI agents across origination, closing, and servicing workflows.
• Establish BWE's AI Center of Excellence with standardized processes, tools, and methodologies for AI project evaluation, development, and deployment.
• Research and recommend AI platform strategy including vendor selection, integration architecture, and cost optimization across multiple AI providers.
• Create AI performance measurement framework tracking business impact, user adoption, cost efficiency, and risk metrics with executive reporting.
• Partner with business leadership to identify and validate AI use cases that drive measurable improvements in revenue, efficiency, or customer experience.
• Develop AI talent acquisition and development strategy including skill requirements, training programs, and organizational capability building.
• Establish vendor relationships and strategic partnerships with key AI providers ensuring optimal pricing, support, and innovation access.
• Complete advanced AI leadership training and maintain awareness of emerging technologies relevant to financial services applications.

Minimum Qualifications:

• 8+ years of experience in data science, AI/ML, automation, or technology leadership roles with 3+ years in executive or senior leadership capacity.
• Proven experience deploying AI solutions in enterprise environments, preferably within Microsoft ecosystems and cloud platforms.
• Deep familiarity with Generative AI, machine learning pipelines, responsible AI frameworks, and enterprise automation technologies.
• Strong strategic thinking, cross-functional leadership, and executive-level stakeholder communication skills.
• Experience with AI governance, risk management, and regulatory compliance in enterprise environments.
• Knowledge of financial services industry regulations and AI risk management requirements.
• Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field; advanced degree preferred.
• Demonstrated track record of building and leading high-performing technical teams.

Preferred Qualifications:

• Advanced degree (MS/PhD) in Artificial Intelligence, Machine Learning, Computer Science, or related field.
• Experience in CRE, mortgage banking, or regulated industries with complex compliance requirements.
• Professional certifications in AI/ML platforms (Microsoft AI, AWS ML, Google Cloud AI) or related technologies.
• Previous experience leading digital transformation initiatives involving AI adoption and organizational change management.
• Knowledge of emerging AI technologies including agentic AI, multimodal AI, and AI orchestration platforms.
• Experience with AI vendor management, contract negotiation, and strategic partnership development.
• Track record of driving measurable business outcomes through AI implementation in enterprise environments.

We encourage you to explore the career opportunities we have available here at BWE!

By living according to a common set of values, we create a culture that unifies, embraces the uniqueness we all bring to the company, and positions Integer for long-term success.

At Integer, our values are embedded in everything we do.

Customer

We focus on our customers' success

Innovation

We create better solutions

Collaboration

We create success together

Inclusion

We always interact with others respectfully

Candor

We are open and honest with one another

Integrity

We do the right things and do things right

Key Responsibilities:

• AI Strategy & Vision
  • Define and lead an enterprise-wide AI strategy aligned with business goals and regulatory frameworks
  • Identify high-impact AI opportunities with measurable business value
• Innovation & Product Integration
  • Collaborate with product development teams to embed AI into the product development lifecycle
  • Champion the use of AI in process optimization and intelligent automation across the manufacturing footprint and all supporting functions
• AI Implementation & Delivery
  • Oversee pilot projects and proof-of-concepts to demonstrate AI value
  • Collaborate with IT, data teams, and business units to integrate AI solutions into operations
  • Oversee the selection and implementation of AI platforms, tools, and frameworks
• Data & Infrastructure Readiness
  • Partner with data teams to ensure data quality, availability, and governance for AI initiatives
  • Advocate for scalable infrastructure to support AI workloads (e.g., cloud, MLOps)
• Talent & Culture
  • Build and lead an agile AI team in collaboration with cross-functional leaders; upskill internal talent through training and mentorship
  • Foster a culture of innovation and experimentation
• Governance & Ethics
  • Establish AI governance policies and frameworks to ensure responsible, transparent and ethical AI use
  • Ensure AI systems meet stringent regulatory standards (e.g. FDA, MDR, ISO 13485)
  • Monitor regulatory developments and ensure compliance with data and AI-related laws
• Leadership and Engagement
  • Act as a thought leader and internal evangelist for AI, educating executive leadership and cross-functional teams
  • Partner with external research institutions, AI vendors, and regulatory bodies to stay ahead of emerging trends

Qualifications:

• Master's in Computer Science, AI/ML, Data Science, Biomedical Engineering, or a related field.
• 10+ years of experience in AI/ML leadership roles, ideally within regulated industries (medical devices, pharma, life sciences).
• Proven track record of delivering AI solutions at scale in manufacturing or product development environments.
• Deep understanding of AI/ML technologies (including genAI & large language models), data platforms and cloud services. Familiarity with regulatory and ethical considerations in AI for life sciences and medical devices.
• Strong leadership, communication, and change management skills.

Preferred Qualifications:

• Experience in a regulated industry (e.g., life sciences, finance, manufacturing).
• Familiarity with AI ethics, fairness, and explainability frameworks.

Our total rewards program is designed to attract, retain, and motivate associates to contribute to Integer's success. Our compensation program includes base salary and a cash-based incentive program supporting our pay-for-performance philosophy. Employees at the level of Director and above are eligible to receive stock awards as part of their annual compensation package. We provide a comprehensive benefits package with immediate eligibility including medical, dental, vision, disability, life insurance, and adoption benefits. Parental leave is available after one year. Optional employee-paid programs include supplemental life insurance, critical illness, hospital indemnity and accident insurance. Employees are immediately eligible to participate in the 401(k) plan with company matching contributions. We provide 80 hours (10 days) of company designated holidays per year plus an annual allotment of paid time off.

U.S. Applicants: Equal Opportunity Employer. In addition, veterans and individuals with disabilities are encouraged to apply.

Basic knowledge on Linux operations systems.• Python (Professional)• Docker and Kubenetes (Good to have)• Experience in using and working with LLM's• Langchain and LangGraph modules usage• VectorDB's• GitHub• CICD pipelines• Agentic AI• MCP Protocols• React JS (Good to have)• Angular JS

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

• An undergraduate or graduate degree in computer science, artificial intelligence, data science, engineering, or related field is required, along with an impressive record of academic and professional achievement and at least eight years of experience.
• Deep knowledge of AI/ML frameworks, data analytics platforms, and experience with IoT are required.
• Strong leadership and stakeholder management skills are essential.
• Experience working in the renewable energy sector, utilities, or energy technology is highly preferred.
• Knowledge of energy markets, forecasting models, and grid optimization techniques is preferred.
• Intellectually curious individuals with keen attention to detail, an entrepreneurial-mindset, well-developed written and verbal communication skills, analytical acumen, and effective project execution abilities will excel in this role.
• The expected annual base salary for this position is $180,000 to $220,000. Our compensation and benefits package includes variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, and benefits including medical and prescription drug coverage, 401(k) contribution matching, paid time off, wellness reimbursement, family building benefits, and a charitable gift match program.

Security Clearance: Active TS/SCI with CI Polygraph required

Apogee is seeking an AI SME. This candidate will have frequent client interactions, and support system and mission strategy development across the various ground offices. The candidate will have daily interactions with the customer and support contractors and will need to follow customer standards and processes as the program matures through the life cycle. The candidate will interact with multiple Acquisition Offices (AOs) and support technical consultation, meeting coordination, and recommendation briefings. If you live and breathe Artificial Intelligence, then you'll love Apogee and this position!

Position

• Works with the Government program leads for ideation and execution of AI/ML or Deep Learning (DL) solutions to meet mission needs
• Advise senior Government leads on the opportunities and limitations of various AI/ML capabilities and provide recommendations for technical approaches and designs with associated tradeoffs
• Assist in the validation and assessment of models currently in production
• Integrate new systems and initiatives in support of customer/mission partner requirements and work directly with our developers and users in operations
• Understand system-to-system interfaces and act as an Integrator
• Monitor system and segment schedules, recognize dependencies
• Aiding in meeting facilitation and information sessions

• Requires a technical degree: 10 to 12 years with BS/BA or 8 to 10 years with MS/MA or 5 to 7 years with PhD
• Extensive Intelligence Community knowledge and work history
• Expert understanding of the opportunities and limitations of various AI/ML capabilities and model types
• Experience with all aspects of the AI/ML pipeline, including data preparation and processing, feature generation, training and validation, deployment to production and performance monitoring
• Previous experience as a System Engineer, Software Engineer or System Integrator
• Strong project management skills and ability to quickly/concisely brief project status to senior leadership
• Candidate will be required to sign and adhere to Non-Disclosure Agreement(s) and (2) Confidential Agreement and Conflict of Interest Certification
• Extensive experience with Agile process and deliveries of new capabilities
• Excellent communication skills, multi-task and lead several projects simultaneously

• Challenging work in support of US Intel Community - a Mission that Matters!
• Access to our cool ApogeePlex facility
• Support for new ideas & encouragement to take risks
• Professional Development Assistance (PDA)
• Wicked smart and collaborative coworkers
• Regular interfacing with company leadership
• 401(k) with huge company match
• Paid Time Off / Fixed & Floating Holidays
• Medical, Dental, Vision
• Health Savings Accounts / Dependent Care Flexible Spending Accounts
• Life Insurance, Disability (Short and Long Term), Accidental Death and Dismemberment (AD&D)

• Be the PROVIDER of choice for government & commercial organizations with an unwavering commitment to responsiveness, accuracy, integrity, collaboration, and innovation
• Be the EMPLOYER of choice committed to an open & transparent corporate atmosphere and progressive culture that attracts and empowers world class professionals to explore cutting-edge technical solutions while fostering professional growth
• Be the preferred SOURCE for cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success

Build, train and deploy large-scale, self-supervised "foundation" models that learn rich representations of seismic data (ND(2D,3D,.) volumes), to be fine-tuned for tasks such as event detection, subsurface imaging, fault characterization or reservoir property estimation.

• Domain Knowledge

• Seismic theory & processing: data formats (SEG-Y/D), de-noising, deconvolution, stacking, migration, tomography, inversion.

• Reservoir geomechanics, rock physics, well-log integration, AVO/AVA analysis.

• Geostatistics: variography, kriging, co-kriging, uncertainty quantification.

• Machine-Learning & Foundation-Model Expertise

• Self-supervised and semi-supervised learning: masked autoencoders (MAE), contrastive methods (SimCLR, BYOL), clustering-based (DINO), predictive coding.

• Model architectures: 1D/2D/3D CNNs, Vision/Audio Transformers, graph neural networks, diffusion/generative models, multi-modal encoders.

• Transfer learning & fine-tuning at scale: prompt/adapter-based techniques, domain adaptation.

• Evaluation metrics: geophysical error norms (L2, semblance), detection/segmentation metrics (IoU, F1), end-use KPIs (horizon-picking accuracy, attribute classification).

• Software & Infrastructure

• Programming: expert Python (NumPy, SciPy, Pandas), C++/CUDA for performance kernels.

• Deep-learning frameworks: PyTorch (Lightning, Distributed), TensorFlow/Keras, JAX/Flax.

• Large-scale training: multi-GPU, multi-node, mixed-precision, ZeRO optimization.

• Data engineering: advanced segmentation of terabyte-scale seismic volumes.

• Mathematical & Algorithmic Foundations

• Linear algebra, probability & statistics, optimization (stochastic, convex, non-convex).

• Signal processing: Fourier/Wavelet transforms, filtering, spectral analysis.

• Numerical methods for PDEs, inverse problems, regularization techniques.

• Collaboration & Communication

• Cross-disciplinary teamwork with geoscientists, software engineers, product managers and end-users.

• Clear presentation of complex model behaviors, uncertainty quantification and business impact.

• Desired Extras

• Contributions to open-source seismic/ML projects or standards bodies (e.g. SEG, OSDU).

• Cloud & DevOps: AWS/GCP/Azure (S3, EC2/GPU, Batch/ML Engine), Kubernetes, Terraform, Docker, CI/CD pipelines.

• Experiment tracking & MLOps: MLflow, Weights & Biases, Neptune, Grafana, Prometheus.

• Multi-modal fusion: combining seismic with well logs, production data, satellite/inSAR.

• Agile/Scrum practices: sprint planning, peer code reviews, documentation (API specs, best practices).

• Education & Experience

• PhD (or M.S. + 5+ years) in Geophysics, Seismology, Computer Science, Electrical Engineering, Applied Math, or equivalent.

• 2-3+ years hands-on seismic/geophysical data processing or interpretation.

• Peer-reviewed publications or patents in seismic AI, geophysical inversion or related fields a plus.

Company policy is to provide every individual a fair and equal opportunity to seek employment and advancement at the Company without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, citizenship, genetic information, veteran or military status, disability, creed, ancestry, pregnancy (including pregnancy, childbirth and related medical conditions), marital status or any factors protected by federal, state, or local laws. We are an "Equal Opportunity Employer". For more information please, refer to the latest version of "Know Your Rights" poster and the "Pay Transparency Nondiscrimination Poster" located here: The Company is a VEVRAA Federal Contractor - priority referral Protected Veterans requested.