Codashop Ml Diamonds Jobs in Usa

At Diamonds Direct, we pride ourselves on finding talent with a certain set of characteristics, or what we call, RHINO's. These are individuals with an unmatched work ethic, and are determined to do whatever it takes plus some. They are passionate about what they do and who they do it for, and always take ownership of their work by consistently charging forward. Most importantly, RHINO's exhibit humility, as in order for the business to succeed here, it takes everyone!

Do you have what it takes to be a Diamonds Direct RHINO?

As a Jewelry Sales Associate with Diamonds Direct, you will step into a role that offers a unique blend of luxury, creativity, and customer-focused service. You will have access to a vast inventory and top designers in the industry, enabling you to offer unparalleled choices to your customers. Join us in a fast-paced, family-oriented environment where your passion for luxury jewelry and commitment to exceptional customer service will shine.

• Customer Service Excellence: Provide top-notch service by always prioritizing the customer's needs. Ensure a memorable shopping experience from the initial greeting to post-sale follow-up.
• Relationship Building: Cultivate lasting relationships with customers, positioning Diamonds Direct as their go-to destination for luxury jewelry.
• Product Knowledge: Utilize extensive knowledge of our inventory and designer collections to guide customers in making informed and personalized choices.
• Sales Process: Manage the sales process with a focus on what's best for the customer, including detailed follow-through after the sale.
• Organizational Skills: Maintain a well-organized work environment, paying close attention to detail in all aspects of the sales process.
• Professionalism: Uphold a professional demeanor and appearance that reflects the high standards of Diamonds Direct.

• Unlimited Earning Potential: Enjoy a rewarding compensation structure with no quotas or team goals.
• Career Development: Benefit from our investment in your career growth and development within the luxury jewelry industry.
• Freedom from Pressure: No push to sell warranties, credit applications, or additional products.

• Experience: Previous experience in luxury sales and/or diamonds sales preferred. GIA certification is a plus.
• Availability: Must be able to work Saturdays, as it is a peak day for sales.
• Skills:
  • Strong focus on customer service and relationship-building.
  • Well-organized with a keen eye for detail.
  • Professional demeanor and appearance.

If you are passionate about luxury jewelry, thrive in a dynamic and supportive environment, and are dedicated to providing exceptional customer experiences, we invite you to apply and join the Diamonds Direct family.

Leo Schachter is a major player in the jewelry industry , offering a wide range of leading jewelry brands. We pride ourselves on our commitment to quality, exceptional customer service, and a passion for all things jewelry.

If you are a dynamic individual with a proven track record in Diamond and Jewelry sales, a flair for innovation, and a knack for building strong relationships, we invite you to be part of our team. Seize this opportunity to be a key player in a fast-paced and glamorous industry where your talents will shine.

Position Overview

Seeking an elite sales professional with expertise in diamond jewelry sales and premium brand representation. The role involves sales to major retailers and independents nationwide, targeting a comprehensive market spectrum.

Core Sales Responsibilities

• Execute direct sales strategies for premium diamond and diamond jewelry collections across major national retailers and independent stores
• Develop and expand client portfolios across luxury retail market
• Generate and convert high-value sales leads through targeted outreach
• Conduct personalized sales presentations for premium diamond jewelry
• Negotiate and close sophisticated sales transactions
• Maintain comprehensive client relationship records
• Consistently achieve individual sales targets

Professional Requirements

• 7-10 years proven success in direct diamond and luxury jewelry sales
• Established book of business with major national retailers and independent jewelry stores nationwide
• Active portfolio of retail clients with proven repeat sales relationships
• Exceptional interpersonal and consultative selling skills
• Proven track record of exceeding individual sales quotas
• Extensive knowledge of diamond grading and luxury jewelry markets

Compensation

• Competitive base salary with aggressive commission structure

• Performance-based incentives

• Comprehensive benefits

At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.

Rite-Hite is a global leader in industrial safety and efficiency solutions. As part of our digital transformation journey, we are seeking a Systems Architect, Edge AI/ML to help build and scale intelligent systems that deliver real-time insights, automation support, and customer value at the edge of industrial environments.

The Systems Architect, Edge AI/ML is responsible for defining and guiding the architecture for artificial intelligence and machine learning deployed on devices and edge platforms. This role ensures that AI/ML solutions are scalable, reliable, secure, and aligned with enterprise product and platform objectives.

The architect partners closely with product management, device and edge software teams, data and cloud teams, and digital solution leaders to translate business and customer requirements into robust AI/ML foundations that enable consistent behavior, efficient lifecycle management, and high-quality user experiences across industrial environments.

CORE RESPONSIBILITIES

• Define and maintain reference architectures, design patterns, and standards for deploying AI and ML models on edge devices and platforms.
• Establish common approaches for data ingestion, feature pipelines, model inference, performance optimization, and lifecycle management at the edge.
• Ensure architectural decisions support real-time operation, scalability, reliability, safety, and security.

• Drive the strategic use of AI and ML at the edge by establishing repeatable patterns for model development, deployment, monitoring, and update.
• Own a portion of the internal technology radar related to AI/ML, edge analytics, and sensing technologies.
• Foster a culture of responsible, ethical, and transparent AI practices aligned with cybersecurity, privacy, and safety requirements.

• Partner with product management and engineering teams to enable AI-driven capabilities such as condition monitoring, vision-based sensing, anomaly detection, and predictive insights.
• Guide architectural decisions related to edge compute constraints, sensor integration, and real-time inference workloads.
• Promote reuse and consistency of AI/ML components across products and platforms.

• Define patterns for integration between edge AI/ML solutions, device software, hybrid mobile applications, and enterprise or cloud-based platforms.
• Ensure solutions support online, offline, and hybrid deployment models common in industrial environments.
• Promote interoperability with internal systems and approved third-party technologies.

• Define secure-by-design and safety-aligned principles for AI/ML model deployment and operation at the edge.
• Ensure alignment with applicable safety, quality, and industrial cybersecurity standards.
• Participate in architecture and design reviews to assess risk, resilience, and compliance.

• Collaborate across product management, device and edge software, data science, cloud platforms, manufacturing, service, and mobile application teams.
• Provide technical leadership, mentorship, and guidance to engineers and teams working with AI/ML technologies.
• Serve as a technical advisor in strategic customer conversations and enterprise implementations when appropriate.

• This role does not have direct reports but is expected to provide technical leadership and architectural guidance across multiple teams.

QUALIFICATIONS

Education & Experience

• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, or a related technical field required; Master's degree preferred.
• 8+ years of experience delivering AI/ML-enabled solutions, with demonstrated experience deploying models in edge or resource-constrained environments.
• Experience with industrial, connected, or safety-critical systems preferred.

Knowledge / Skill Requirements

• Strong understanding of AI/ML architectures, model lifecycle management, and real-time inference at the edge.
• Experience designing systems that balance performance, accuracy, latency, and resource constraints.
• Ability to think systemically across sensors, devices, edge platforms, mobile applications, and cloud services.
• Strong communication skills and ability to influence cross-functional stakeholders.
• Familiarity with industrial automation, IoT ecosystems, or computer vision is a plus.

Leadership & Collaboration:

• Visionary technical leader who can inspire cross-functional teams and align stakeholders to a shared product vision.
• Exceptional communicator across technical and non-technical audiences.
• Committed to data-driven decision-making and delivery excellence.

Why Join Rite-Hite Digital Solutions?

As a technology leader within a globally trusted industrial brand, you will play a pivotal role in shaping how AI and machine learning are applied safely and effectively in real-world environments. Your work will help customers improve safety, productivity, and uptime through intelligent, edge-driven solutions that deliver measurable operational impact.

What We Offer

At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:

• Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.

• Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.

• Time for You: Paid holidays, vacation time, and personal/sick days each year.

Join us and build a career where you're supported - at work and beyond.

Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.

About Us:

Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.

SUMMARY:

We are seeking a skilled and adaptable Junior AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.

Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:

• Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).
• Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.
• Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights
• Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.
• Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).
• Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.
• Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.
• Other duties as assigned

REQUIRED TECHNICAL SKILLS:

• Proficiency in Python and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience applying NLP techniques to unstructured text
• Hands-on experience working with LLMs, including:
• Prompt design and iteration
• Using pre-trained models for classification or extraction tasks
• Foundational understanding of model fine-tuning, such as:
• Fine-tuning transformer models or LLMs for classification or information extraction
• Adapting existing training scripts or examples to new datasets
• Familiarity with model evaluation metrics (precision, recall, F1) and basic error analysis
• Experience working with labeled datasets and annotation outputs, including reviewing label quality
• Understanding of common ML problem types, including binary and multi-label classification
• Awareness of model bias, label noise, and false positives, with the ability to discuss tradeoffs and mitigation strategies
• Basic understanding of production ML workflows (versioning, reproducibility, monitoring concepts)

OTHER SKILLS and ABILITIES:

• Hands-on fine-tuning experience with LLMs (e.g., Hugging Face, OpenAI fine-tuning, Azure Foundry), even if limited to small-scale or academic projects
• Exposure to cloud ML platforms (Azure ML, AWS SageMaker, or GCP)
• Familiarity with RAG architectures and retrieval-based grounding
• Experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK)
• Introductory experience with weak supervision or noisy-label learning
• Interest in healthcare or biomedical NLP
• Curiosity about knowledge graphs, ontologies, or structured prediction
• Familiarity with secure data handling practices
• Willingness and ability to learn workflows for sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows

EXPERIENCE:

• Bachelor’s Degree in related field
• 1–2 years of experience in machine learning, applied NLP, or software engineering
• Demonstrated some experience training or fine-tuning ML models, not just using APIs
• Ability to collaborate with senior engineers and domain experts and incorporate feedback

BENEFITS:

• 401(k)
• Dental Insurance
• Health Insurance
• Life Insurance
• Vision Insurance
• Paid Time Off
• Free catered lunches

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Sr. Engineering Manager, AI/ML Serving Platform

The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon).

Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include:

• 
  
• Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second.
  
• Production GenAI & LLM model inference stack for emerging use cases.
  
• Model routing, deployment, monitoring. Kubernetes-based provisioning.
  
• Feature fetching, caching, and logging
  

What you'll do

• 
  
• Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity.
  
• Set technical direction for the team based on company and org priorities
  
• Coach and develop talent on the team.
  

What we're looking for:

• 
  
• Experience managing platform engineering teams with many cross-organizational customers
  
• Experience leading the development of large-scale distributed serving systems
  
• Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale
  
• Bachelor's degree in Computer Science, a related field or equivalent experience.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-AH2

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

A postdoctoral fellowship is available at the Stanford University School of Medicine focused on implementing machine learning on population-scale clinical and biological data to characterize biological aging, resilience, and rejuvenation.

This is a unique opportunity to apply ML in unconventional and paradigm-shifting research with the potential to directly and broadly impact human lives. By joining our research group, you will:

• Have direct access to unparalleled population-scale clinical and biological data sources, along with the computational resources required to analyze these data and develop sophisticated machine learning models.
• Work in a highly collaborative environment with researchers from diverse backgrounds in medicine, biological sciences, and computer science.
• Collaborate with world-leading experts at Stanford University across the spectrum of AI, medicine, and biology.
• Be part of an environment strongly committed to translating research findings into actionable insights and scalable real-world products. We encourage (and financially support) our postdoctoral fellows to pursue extensive training in entrepreneurship and business management through Stanford’s Graduate School of Business. This position is well suited for candidates interested not only in state-of-the-art academic research, but also in exploring industrial and entrepreneurial career trajectories.

As a Stanford postdoctoral scholar, you will receive a highly competitive salary and comprehensive benefits, including best-in-class health and dental insurance. You will also receive priority consideration for Stanford housing and have access to Stanford’s broad range of professional development, learning, and growth resources.

Relevant background:

• MD or PhD, with research experience building and/or applying machine learning models during graduate studies, industry, or postdoctoral work.
• Excellent publication record.
• Interest in medicine and biology.
• Familiarity with modern AI/ML platforms and libraries (e.g., PyTorch and/or TensorFlow), traditional machine learning frameworks (e.g., scikit-learn), and statistical analysis in Python.

Preferred, but not required:

• Familiarity with electronic health record (EHR) data and cohort/outcome definition using EHRs.
• Experience in medicine and/or biology, particularly in aging-related research and omics-based analyses.
• Broad experience across diverse AI/ML concepts, including causal inference.
• Publications in leading AI/ML, biology, or medicine conferences and journals.

Keywords:

Machine Learning, Precision Medicine, Biology, Omics, Proteomics, metabolites, Electronic Health Records, Artificial Intelligence, Data Science, Deep Learning, Bioinformatics

How to Apply:

• To receive full consideration, please apply using the following google form:  can be directed to
• For more information please visit: 

Where creativity meets craftsmanship — design brilliance under the Florida sun in Boynton Beach!

We’re growing, we’re hiring, and we’re inviting talented makers to join our vibrant, hands-on team.

At , we create stunning engagement rings and fine jewelry that help people celebrate love with beauty, care, and sparkle.

Ready to trade the ordinary for something extraordinary? Let’s make brilliance together.

Compensation & Details

• Pay: $25–$30/hr (based on experience)
• Schedule: Full-time, Monday–Friday (Day Shift)
• Benefits: 401(k), health & dental insurance, employee discounts, paid time off, bonus opportunities
• Location: On-site at our workshop in Boynton Beach, FL

What You’ll Be Doing

• Stone & Diamond Setting: Bring jewelry to life by securely placing precious gems
• Polishing & Finishing: Make each piece shine like it’s ready for the red carpet
• Repairs & Sizing: Restore sentimental treasures to perfection
• Rhodium Plating: Add that perfect final touch of elegance
• Quality Control: Nothing leaves the bench unless it’s flawless

What We’re Looking For

• Proven experience in stone setting, polishing, resizing, and jewelry repair
• Skilled in working with various precious metals
• Detail-oriented, reliable, and proud of delivering exceptional quality
• Strong work ethic, teamwork mindset, and a love for craftsmanship

Why You’ll Love Working Here

• A Legacy of Brilliance: Over 35 years of success in the jewelry industry
• Hands-On & Creative: If you love working with fine details, this is your kind of job
• Growth & Stability: While traditional jewelers struggle, we keep expanding
• Team of Experts: Learn from experienced jewelers and hone your skills
• Customer Love: 3,000+ five-star reviews on Trustpilot

At J.P. Morgan Chase, we have an enthusiasm for helping our clients, taking care of our employees, building relationships, and delivering extraordinary customer service while maintaining a strong commitment to diversity and inclusion. Using a broad investment product and thought leadership platform along with cutting edge digital technology, you will be front and center representing our brand and interacting with our clients to offer the best investment solutions to meet their financial needs.

As a Private Client Advisor in Chase Wealth Management, you will offer comprehensive financial planning and advice to individuals and families. Your expertise will support a wide range of clients, from those just starting to save to those with significant wealth. You provide an exceptional investor experience by offering advised solutions and Chase partner referrals that deepen client relationships.

• Champion and support your teammates' success and the goals of the bank, while fostering a culture of diversity
• Build a book of business and deliver personalized investment solutions to your clients by relying on leadership and relationship-building skills. This will be done with a consistent focus on relationship management, not portfolio management
• Demonstrate a deep understanding of financial markets and sound business judgement
• Exhibit unwavering integrity that points toward doing right by clients at every opportunity
• Demonstrate a passion for educating clients on the technology and channels available to them to better monitor, maintain, and handle their investments
• Provide a holistic view of clients' needs and financial coaching beyond investments
• Embrace digital innovations to help clients become more digitally confident and bank when, where, and how they want

• At least 2 years in a Financial Advisor role or equivalent financial services experience
• Demonstrated success in client acquisition, cultivating and maintaining client relationships, and integrating with key partners
• Demonstrated ability and commitment to goals-based planning and advice
• A valid and active Series 7
• A valid and active Series 66 (63/65) license is required or must be obtained within 60 days of starting in the role as a condition of employment
• A valid and active Life, Health and Long Term Care Insurance license is required or must be obtained within 60 days of starting in the role as a condition of employment

• Certified Financial Planning (CFP) certification is preferred
• Bachelor's degree preferred

Federal Deposit Insurance Act: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.

Investment products and services are offered through J.P. Morgan Securities LLC (JPMS), a registered broker-dealer and investment advisor, member of FINRA and SIPC. Annuities are made available through Chase Insurance Agency, Inc. (CIA), a licensed insurance agency, doing business as Chase Insurance Agency Services, Inc. in Florida. JPMS, CIA and JPMorgan Chase Bank, N.A. are affiliated companies under the common control of JPMorgan Chase & Co. Products not available in all states.