Codashop, ML Jobs in Usa

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 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:

• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or equivalent)
• Hands-on experience with NLP applied to unstructured text
• Experience working with LLMs, including:
• Prompting strategies
• Fine-tuning for classification or extraction tasks
• Model evaluation and error analysis
• Experience designing or consuming annotation pipelines and labeled datasets
• Familiarity with structured prediction problems (multi-label classification, ranking, or probabilistic inference)
• Ability to reason about and mitigate model bias, label noise, and false positives
• Strong understanding of production ML systems (versioning, monitoring, iteration)
• Experience working with sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows

OTHER SKILLS and ABILITIES:

• Hands-on experience with Azure AI services, Azure Machine Learning, OpenAI on Azure, and Microsoft Foundry
• Experience with clinical NLP libraries (scispaCy, medspaCy, cTAKES)
• Familiarity with RAG architectures for grounding model decisions
• Experience with weak supervision or noisy-label learning
• Knowledge of temporal reasoning or longitudinal modeling
• Exposure to knowledge graphs or ontology-driven systems
• Familiarity with healthcare vocabularies and ontologies:
• ICD-10
• SNOMED CT
• RxNorm (or similar)
• Understanding of clinical documentation structure (HPI, Assessment & Plan, medications, etc.)

EXPERIENCE:

• Bachelor’s Degree in related field
• 2-4+ years of experience in software engineering, machine learning, or applied NLP
• Demonstrated experience taking ML systems from prototype to production
• Experience collaborating with non-technical domain experts (e.g., medical coders, clinicians)

BENEFITS:

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

• Performs tasks, duties and/or complex tests in all areas of the laboratory assigned according to established laboratory protocols and procedures to ensure compliance with applicable federal, state, and local regulations, COLA accreditation requirements and hospital standards.
• Collects and processes specimens utilizing protocols and technical knowledge.
• Performs quality control, preventive maintenance, troubleshooting protocols to ensure proper functioning of instruments, reagents, procedures.
• Validates and delivers results of tests performed and assists with all technical troubleshooting and quality assurance issues.
• Follows established safety practices including biohazards, exposure control plan (blood-borne pathogens), infection control to include standard precautions, employee right to know (hazardous chemicals), and chemical hygiene standard and maintains required documentation for compliance with federal, state, and local, regulations.
• Assist with performing proficiency testing for each test to include corrective action when necessary.
• Develop and foster collaboration among clinical departments and affiliated services to ensure an integrated and coordinated approach to providing laboratory services and resolution of customer complaints or problems.
• Coordinate and perform all pre-analytic, analytic, and post-analytic laboratory activities in collaboration with the Laboratory Director and Technical Consultant
• Assist with patient care and other activities within the scope of state license and/or regulations. May include, but not limited to, phlebotomy, IV starts, initiating EKGs, vital signs, height and weight, intake and output, pulse oximetry and superficial wound care.
• Provide for patient safety related to age and condition
• Maintain patient privacy and confidentiality of information and records at all times
• Provide and maintain a clean, safe environment and perform and/or assist others to perform proper aseptic technique, isolation procedures, and infection control measures
• Assist with the admission, transfer, and discharge of the patient

• Prepare patients and chaperone during examinations/procedures or assists with other patient treatments
• Maintain lab and all patient care areas with appropriate supplies
• Assist with patient restraints and maintain precautions; collect, report and document data related to patient needs/emergencies and unusual patient and family behavior
• Travel to all facility locations as required
• Attend staff meetings or other company sponsored or mandated meetings as required
• Perform additional duties as assigned

• Bachelor's degree in Biological/Physical Sciences or Medical Laboratory Science, required
• Current BLS certification through the American Heart Association or American Red Cross, required
• Market-Specific qualifications:
  • Pennsylvania Market
    • Minimum of 6 years core lab experience, required (Years of experience begin with Medical Laboratory Courses)
  • Las Vegas Market
    • Certification as a Medical Laboratory Scientist/Technologist (MLS/MLT) by the American Society of Clinical Pathology (ASCP), or American Medical Technology (AMT)
    • Valid State of Nevada license Laboratory General Supervisor, or ability to obtain General Supervisor license within 6 months of hire
    • Minimum of 3 years lab experience in the non-waived specialties of a clinical laboratory; 2 of these years must be in a licensed laboratory or a laboratory of a hospital, university or health department and be under the supervision of a director who possesses a doctoral degree
• Experience with IV start, phlebotomy and initiation of EKG a plus (experience is not required); training is provided and required after hire

• Performs tasks, duties and/or complex tests in all areas of the laboratory assigned according to established laboratory protocols and procedures to ensure compliance with applicable federal, state, and local regulations, COLA accreditation requirements and hospital standards.
• Collects and processes specimens utilizing protocols and technical knowledge.
• Performs quality control, preventive maintenance, troubleshooting protocols to ensure proper functioning of instruments, reagents, procedures.
• Validates and delivers results of tests performed and assists with all technical troubleshooting and quality assurance issues.
• Follows established safety practices including biohazards, exposure control plan (blood-borne pathogens), infection control to include standard precautions, employee right to know (hazardous chemicals), and chemical hygiene standard and maintains required documentation for compliance with federal, state, and local, regulations.
• Assist with performing proficiency testing for each test to include corrective action when necessary.
• Develop and foster collaboration among clinical departments and affiliated services to ensure an integrated and coordinated approach to providing laboratory services and resolution of customer complaints or problems.
• Coordinate and perform all pre-analytic, analytic, and post-analytic laboratory activities in collaboration with the Laboratory Director and Technical Consultant
• Assist with patient care and other activities within the scope of state license and/or regulations. May include, but not limited to, phlebotomy, IV starts, initiating EKGs, vital signs, height and weight, intake and output, pulse oximetry and superficial wound care.
• Provide for patient safety related to age and condition
• Maintain patient privacy and confidentiality of information and records at all times
• Provide and maintain a clean, safe environment and perform and/or assist others to perform proper aseptic technique, isolation procedures, and infection control measures
• Assist with the admission, transfer, and discharge of the patient

• Prepare patients and chaperone during examinations/procedures or assists with other patient treatments
• Maintain lab and all patient care areas with appropriate supplies
• Assist with patient restraints and maintain precautions; collect, report and document data related to patient needs/emergencies and unusual patient and family behavior
• Travel to all facility locations as required
• Attend staff meetings or other company sponsored or mandated meetings as required
• Perform additional duties as assigned

• Bachelor's degree in Biological/Physical Sciences or Medical Laboratory Science, required
• Current BLS certification through the American Heart Association or American Red Cross, required
• Market-Specific qualifications:
  • Pennsylvania Market
    • Minimum of 6 years core lab experience, required (Years of experience begin with Medical Laboratory Courses)
  • Las Vegas Market
    • Certification as a Medical Laboratory Scientist/Technologist (MLS/MLT) by the American Society of Clinical Pathology (ASCP), or American Medical Technology (AMT)
    • Valid State of Nevada license Laboratory General Supervisor, or ability to obtain General Supervisor license within 6 months of hire
    • Minimum of 3 years lab experience in the non-waived specialties of a clinical laboratory; 2 of these years must be in a licensed laboratory or a laboratory of a hospital, university or health department and be under the supervision of a director who possesses a doctoral degree
• Experience with IV start, phlebotomy and initiation of EKG a plus (experience is not required); training is provided and required after hire

I am working with a team leveraging AI + Reinforcement Learning for accelerating Chip Design.

Most agentic research today deals with text, where feedback is subjective and ground truth is hard to find. I’m working with a Stanford spinout moving RL and post-training into chip design, an environment where physics and logic provide a strict, non negotiable ground truth.

The founding team is being built with an intentional focus on high talent density. The Head of AI, who led Trust & Safety at a Frontier Lab and worked on RL for Claude, is bringing together a small group, including a founding engineer from Augment Code, a member of xAI who worked on special projects under Elon, and peers from Superintelligence and DeepMind.

They are solving for long horizon reasoning by building agents that plan, critique, and verify their own outputs in a closed loop. The goal is to collapse the traditional 2–3 year design cycle through two main products: a licensed IP system for hardware reasoning and a "Cursor for Verilog" that validates its own code against real execution feedback.

They are a well funded early stage company backed by a top tier VC, with support from people like Jeff Dean and the co-founder of SambaNova. The role is in Palo Alto and comes with high ownership & scope and equity that reflects the level of trust and impact you would have.

Apply here to discover more about this opportunity.

About the role

As a Gen AI Architect, you will make an impact by designing and implementing scalable, innovative solutions leveraging Generative AI, AWS cloud services, and Snowflake. You will be a valued member of our architecture and engineering team, collaborating closely with cross-functional partners to integrate AI/ML capabilities, automate deployments, and enhance system performance.

In this role, you will:

• Design and develop scalable architectures using Generative AI, AWS services, and Snowflake.
• Integrate AI and machine learning solutions into existing systems in partnership with cross-functional teams.
• Implement AWS CodePipeline, CodeDeploy, CodeCommit, and CodeBuild to automate deployment workflows.
• Use AWS Machine Learning services to develop predictive models that generate actionable business insights.
• Provide technical leadership on AI/ML use cases, solution design, performance optimization, and best practices.
• Validate and test AI/ML models ensuring accuracy, reliability, and real-world applicability.
• Monitor system performance, troubleshoot issues, and ensure platform stability.
• Create documentation and training materials to support knowledge transfer across the team.
• Conduct code reviews and offer constructive feedback to drive code quality.
• Translate business needs into technical solutions that deliver measurable value.
• Ensure compliance with security standards and data protection requirements.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Hartford, CT each week. Regardless of your working arrangement, we are here to support a healthy work-life balance through our wellbeing programs.

The working arrangements for this role are accurate as of the date of posting and may change based on business or client needs. We will always be transparent about role expectations.

What you need to have to be considered

• Proven experience designing scalable architectures using AWS services, Snowflake, and Generative AI.
• Strong background in AI/ML solution development, including model validation and deployment.
• Hands-on experience with AWS DevOps tools (CodePipeline, CodeDeploy, CodeCommit, CodeBuild).
• Ability to collaborate with cross-functional teams and translate complex technical concepts.
• Strong problemsolving skills with experience optimizing system performance and reliability.
• Excellent communication skills with the ability to create clear documentation and training materials.

These will help you stand out

• Experience integrating AI/ML into enterprise-scale systems.
• Knowledge of Snowflake data pipelines and advanced cloud data architectures.
• Familiarity with emerging Generative AI frameworks and their practical applications.
• Demonstrated ability to mentor and guide engineering teams.
• A passion for staying current with AI, ML, and AWS advancements.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Salary and Other Compensation:

Applications will be accepted until March 15, 2026.

The annual salary for this position is between $ 115,000 - $ 135,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

• Competitive Base Salary
• Company paid health plan for employees
• Flexible Hours
• Very generous PTO
• Dental and Vision, FSA, HSA
• Small team, autonomy
• Many more great perks!

New Business - Midwest Logistics Systems Dedicated truck driver

Average pay: $1,000-$1,200 weekly

Home time: Daily

Experience: 3 months or greater CDL experience

• Have a predictable work schedule.
• Drive the same out-and-back dedicated route and work with the same customers every day.
• Haul automotive parts in dry van trailers with newer trucks.
• Haul no-touch, mostly drop-and-hook freight.
• Work with onsite leaders and dispatch.

• Route and detention pay.
• $5,000 sign-on bonus for experienced drivers.
• Safety and performance bonuses of up to $600 per quarter.
• Longevity bonus of up to $750 per quarter.
• Weekly paychecks.

• Valid Class A Commercial Driver’s License (CDL).
• Minimum 3 months of Class A driving experience.

• Medical, dental and vision insurance.
• Disability and life insurance.
• 401(k) savings plan with company match.
• Ten paid holidays and paid time off.
• Company-provided uniforms.
• Opportunity to work with a dedicated, professional team that is committed to your safety and success.

Our history has taught us that treating everyone with dignity and respect is vital to our ongoing success. We embrace and seek out diversity that is inclusive of thought, race, ethnicity, national origin, sex, gender, gender expression, age, religion, sexual orientation, ability, medical condition, veteran or military status, experience and background. This diversity and openness ensures all associates have equal access to opportunities and resources to contribute fully to the organization's success, and it fuels innovation, improves strategic thinking and cultivates leadership. Any applicant may request a reasonable accommodation to complete a job application, pre-employment testing, or job interview or to otherwise participate in the hiring process consistent with the Americans with Disabilities Act (ADA) by contacting their Recruiter, Human Resources Business Partner, and/or Human Resources Leave Administration.

A wholly owned subsidiary of Schneider, Midwest Logistics Systems, Ltd. (MLS) is operated separately from Schneider with its own operating procedures, qualification requirements, training program, pay packages and benefits. If you have any questions about becoming an MLS driver, please contact an MLS recruiter at 8

Compensation details: 1000-1200

PI04aa7b166524-3631

The Senior Data Scientist will play a critical role in building the foundation of Boot Barn’s AI and Data Science division, with a focus on developing advanced machine learning and generative AI solutions. This position will lead the design and deployment of models that power data driven solutions to support cross-departmental products, and intelligent agentic systems.

Working closely with AI/ML and Data Engineers, this individual will ensure models are robust, well-designed, and ready to scale, while contributing to the establishment of data science best practices across the organization.

Essential Duties and Responsibilities

• Design, build, and deploy predictive and generative AI models to address high-impact applications such as personalization, forecasting, marketing automation, and conversational agents.
• Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation to uncover insights and validate model performance.
• Develop high-quality, modular Python code for model training and experimentation using libraries and frameworks such as pandas, numpy, scikit-learn, PyTorch, TensorFlow.
• Collaborate with AI/ML Engineers to productionize models through containerization, orchestration, and CI/CD pipelines.
• Collaborate with Data and AI/ML Engineers to establish RAG pipelines, vector databases, and agentic frameworks.
• Prototype and deploy generative AI applications such as content generation agents, knowledge assistants, and multimodal interfaces.
• Partner cross-functionally with Store Operations, Ecommerce, Marketing, Merchandise, Supply Chain and Real Estate to identify and prioritize high-impact AI opportunities.
• Contribute to data science best practices, model documentation, and the creation of reusable modeling frameworks.
• Translate complex model results into clear business insights for technical and non-technical audiences.
• Demonstrates high level of quality work, attendance and appearance.
• Demonstrates high degree of professionalism in communication, attitude and teamwork with customers, peers and management.
• Adhere to all local, federal and state laws in addition to Company policies, procedures, and practices.
• Performs any other duties that may be assigned by management.

Qualifications

• Bachelor's or Master’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 3-5+ years of hands-on data science experience; proven track record in developing and deploying ML and generative AI models.
• Strong expertise in SQL, Python and core ML frameworks (scikit-learn, PyTorch, TensorFlow)
• Experience with LLMs, vector databases, and RAG pipelines
• Familiarity with MLOps workflows, containerization (Docker), and orchestration (Kubernetes) tools.
• Strong collaboration skills, with experience working closely with engineering and product teams.
• Retail and/or e-commerce experience preferred.

Competencies

• Ensure Effective Communication - Listens carefully and attentively to others' opinions and ideas. Communicates information clearly, concisely, and professionally.
• Establish Trust - Follows through on commitments. Is honest and direct with others. Promotes a culture of respect for, commitment to, and compliance with Company values, beliefs, and standards. Ensures the protection of confidential information.

Boot Barn Benefits & Additional Compensation Opportunities

• Competitive salary.
• Merchandise discount: 50% off of Exclusive Brands and 40% off of third-party brands.
• Paid Time Off plan for year-round Boot Barn Partners.**
• Medical, Dental, Vision and Life Insurance.**
• 401(k) plan with generous company matching.
• Flexible schedules and work/life balance.
• Opportunities for growth at every level – we are opening 50+ new stores each year.

**For eligible Boot Barn Partners

PAY RANGE: $125,000.00 - $150,000.00/yr*

*compensation varies based on geography, skills, experience, and tenure

Physical Demands

In general, the following physical demands are representative of those that must be met by a Partner to successfully perform the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job.

• Standing, walking and squatting less than fifty percent of the work shift.
• Required to lift, move and carry up to 40 pounds.
• Ability to read, count and write to accurately complete all documentation and reports.
• Must be able to see, hear and speak in order to communicate with partners and customers.
• Specific vision abilities include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus.
• Manual dexterity required using hands to finger; handle, feel and type; reach with hands and arms.

[ ] Sedentary: Limited activity, no lifting, limited walking

[ X ] Light: Office work, some lifting, bending, stooping or kneeling, walking

[ ] Moderate: Mostly standing, walking, bending, frequent lifting

[ ] Arduous: Heavy lifting, bending, crawling, climbing

Work Environment

In general, the following conditions of the work environment are representative of those that a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job within the environment.

• The workspace is clean, orderly, properly lighted and ventilated with the proper safety compliance.
• Noise levels are considered moderate.

Boot Barn, Inc. reserves the right to make exceptions to modify or eliminate this document or its content. This document supersedes all previous policies, procedures or guidelines pertaining to this subject.

Our core value of community bands us together in supportive and inclusive ways to drive our collective success. Boot Barn provides equal employment opportunity to all applicants and employees without regard to race, color, religion, sex, sexual orientation, age, national or ethnic origin, veteran or military status, disability, as well as any other protected status under the law.

Americans with Disabilities Act (ADA) - Boot Barn will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required by applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Boot Barn Store or Distribution Center or reach out to Human Resources at 1-949-453-4400, Option 4.

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