Machine learning jobs in Huntington Beach, CaliforniaCreate job alerts

Job Description Position Overview Summary: The Wire and Cable Insulation Extrusion Process Engineer is responsible for the insulation / extrusion process in wire and cable manufacturing, ensuring safety, optimal production efficiency, product quality, and process improvement. This role involves troubleshooting extrusion issues, optimizing machine performance, and implementing best practices to meet industry standards and customer specifications. The role is responsible for achieving monthly goals including throughput targets. The role supports design production machinery, identifies and recommends solutions related to production problems, materials, processes, and tooling. Additionally, the role is responsible for supporting the work required in implementing, and optimizing manufacturing processes to improve efficiency, quality, and cost-effectiveness. This role involves working with production teams, analyzing workflows, and ensuring compliance with industry standards and regulations. The expectations are that you will make valuable contributions to engineering projects, value stream mapping, actively participate in project tasks, assist in design, development, testing, and implementation processes, and investigate technologies, and methods to enhance existing processes or develop new ones, while contributing effectively to project outcomes, meeting deadlines, and achieving project goals. The objective is to enhance your ability to identify and address engineering challenges, while implementing continuous improvement and driving toward operational excellence. Essential Functions • Promote a zero-injury culture by conducting risk assessments, implementing safety protocols, maintaining clean work areas, and continuously improving safety in manufacturing processes., • Ensure compliance with safety, environmental, and industry-specific regulations (OSHA, ISO, UL, IEC, ASTM) in all operations and product development., • Design and apply insulation materials through thermal/electrical analysis, document best practices, and troubleshoot failures to ensure optimal performance., • Collaborate with electrical engineers, project managers, and field technicians to implement insulation solutions., • Perform inspections and quality checks on insulation systems to verify reliability, thickness, concentricity, and mechanical properties., • Oversee and support setup, operation, troubleshooting, and optimization of extrusion and manufacturing equipment. Participate in design and commissioning of new facilities and recommend tooling or equipment upgrades., • Collaborate with cross-functional teams (engineering, production, quality) and participate in meetings to communicate progress and support implementation., • Serve as a subject matter expert by providing training and technical support to production personnel., • Optimize material usage to reduce waste and improve cost efficiency and has good knowledge of wide range of materials ( XLPE/HDPE/LSZH...), • Calculate and design tools for new products and able to read the blue print., • Stay informed of advancements in insulation, extrusion technologies, and best practices in electrical transmission engineering., • Develop and document standard operating procedures., • Provide support with designs, tools and machines used to manufacture products., • Review production program equipment, hardware, and tooling, and make recommendations for repairs or replacement., • Analyze and provide progress reports of new processes, methods, and production controls., • Practice 5 Whys methodology to determine root cause of process issues/failures, defects and implement corrective actions to prevent reoccurrence., • Assist in obtaining necessary certifications or approvals., • Follow all company policies, complete required training, and support additional tasks as needed., • Other duties may be assigned as needed, such as supporting preventative maintenance tasks, spare parts, and tooling management. Other Skills/Abilities To be successful as an Insulation Line Process Engineer, candidates need to possess a combination of technical skills, problem-solving abilities, and interpersonal skills along with strong attention to detail and a continuous-improvement mindset. Key skills and abilities include: • Technical Knowledge: Engineers should have a solid foundation in the relevant engineering principles and concepts related to their field. They should be familiar with engineering tools, software, and technologies commonly used in their industry. The position requires the ability to read and interpret gauges and record measurements. Basic understanding of ISO-9000, and proficient with Microsoft Office Suite or related software program., • Analytical and Problem-Solving Skills: Engineers should have strong analytical skills to analyze complex problems and propose effective solutions. They should be able to break down problems into smaller components, conduct research, gather data, and apply critical thinking to identify the root causes and develop innovative approaches to problem-solving., • Attention to Detail: Engineers must pay close attention to detail, ensuring accuracy in their work. They should be meticulous in following engineering standards, specifications, and documentation requirements. This position requires the ability to read and interpret safety rules, MSDS (Material Safety Data Sheets), operating and maintenance instructions, and any relevant manuals., • Communication Skills: Effective communication is crucial for engineers to collaborate with team members, understand project requirements, and present their ideas or findings. They should be able to convey technical information clearly, both verbally and in writing. This position requires proficiency in the ability to speak and read English., • Teamwork and Collaboration: Engineers often work as part of multidisciplinary teams. They should be able to collaborate effectively, share knowledge, and contribute to team goals. Being a good team player and demonstrating interpersonal skills is important in achieving project objectives., • Adaptability and Learning Agility: Engineers should be adaptable to new technologies, changing project requirements, and evolving industry practices. They should be willing to learn and acquire new skills quickly as the engineering field continues to advance., • Time Management and Organization: Engineers need to prioritize tasks, manage their time effectively, and meet project deadlines. They should be able to work on multiple assignments simultaneously and maintain a well-organized workflow., • Professional Ethics: Engineers should demonstrate a strong sense of professional ethics, integrity, and responsibility. They should adhere to engineering standards, regulations, and safety protocols. Maintaining confidentiality and respecting intellectual property rights are also important aspects of professional conduct., • Continuous Learning: Engineers should have a growth mindset and a commitment to lifelong learning. They should actively seek opportunities to enhance their technical skills, stay updated with industry trends, and pursue professional development activities., • Benefits offered the first of the month following 30 days of employment, include: medical, dental, life insurance, long term disability, paid time off (sick and vacation), 10 company holidays, 401(k) with company match, etc., • Bachelor's degree in Electrical Engineering, Materials Science, or a related field., • Experience in insulation / extrusion engineering for wires and cables related to electrical transmission and distribution., • Strong knowledge of insulation materials, dielectric properties, and thermal management., • Familiarity with high-voltage transmission and distribution systems, wires, cables, conductors, and electrical safety standards., • Proficiency in engineering software for insulation analysis and design., • Excellent problem-solving, communication, and teamwork skills., • Ability to calculate and design the tools for new products and able to read the blueprints., • Minimum two years of hands-on experience in a manufacturing company in the cable and wire industry or in a related field is highly desired., • Experience with CAD tools such as AutoCad or SolidWorks is a plus., • Strong analytical skills with the ability to analyze complex data sets and identify trends., • Excellent problem-solving abilities with a hands-on approach to troubleshooting and process optimization., • Effective verbal and written communication skills with the ability to collaborate effectively with cross-functional teams., • Ability to comprehend and follow directions., • Basic understanding of ISO-9000 quality management system principles., • Adept at multi-tasking: able to manage multiple priorities and deadlines., • Strong commitment to safety, quality, and continuous improvement, • Proficient with Microsoft Office Suite or related software programs., • Ability to meet attendance expectations in a fast-paced manufacturing environment., • Willingness to work off hours or on off-shifts to meet promised timelines and deliverables., • Ability to maintain a professional, positive attitude., • Must be able to successfully pass e-Verify background check. Work Environment The Insulation / Extruder Engineer position works in a combination of work settings from office, lab to a safety sensitive manufacturing environment. The Insulation / Extruder Engineer will often work directly on the shop floor of the manufacturing facility, near and around large-scale production processes and equipment. The Insulation / Extruder Engineer may also work in Research and Development (R&D) and Quality Control Testing to design and develop new manufacturing processes, testing, and experiments to improve product design and production methods, and to ensure product quality and compliance with standards. The position will spend time in the engineering office performing tasks such as designing manufacturing systems, developing process flow diagrams, analyzing data, creating manufacturing instructions, and collaborating with others. Occasionally, the Insulation / Extruder Engineer will participate in on-site visits needed to visit suppliers, vendors, or customer sites to review quality issues, assess manufacturing capabilities, troubleshoot production issues, or assess material or tooling quality and performance. Occupational health and safety practices are essential in manufacturing environments, and the Insulation / Extruder Engineer is expected to adhere to safety protocols and wear appropriate protective equipment when necessary.

Job Description Department: Quality Position Type: Full-Time, Salaried (Exempt) Position Reports To: General Manager Direct Reports (Position): Inspectors, CAPA Coordinator, Quality Integration Coordinator Job Summary: The Quality Assurance Manager (QAM) is responsible for: leading and integrating a “Quality First” work culture, the overall performance of the assigned Quality Department(s) and its personnel, interfacing with customers to resolve nonconformities, and serves as the primary contact for customer audits, AS9100 certification audits, and Nadcap accreditation audits. The QAM is responsible for implementing the activities needed to maintain and continually improve the quality management system, including the processes needed and their interactions, in accordance with AS9100, Nadcap, FAA, and customer requirements. The QAM collaborates and partners with the top management to strategize, plan, execute, implement, and sustain activities that align with company goals and enhance the customer experience. The QAM works closely with management, supervisors, leads, and employees during implementation and sustainment of these activities. The QAM is responsible for implementation and communication of the quality objectives and KPI’s with the support from top management. The expectations of the QAM are to implement and sustain strategies that improve the processes within the existing Quality Management System that have a direct impact on improved quality, on-time delivery, customer satisfaction, and support the growth and the overall QMS objectives of the company. Responsibilities: *Note – “QMS” refers to AS9100, Nadcap, FAA, and customer requirements • Company-wide compliance to statutory, regulatory, and customer requirements, • Primary Management Representative IAW AS9100, • Maintaining AS9100 registration, • Serves as the primary escort for audits., • Develops, executes, implements, and evaluates the effectiveness of corrective actions resulting from audits., • Maintaining Nadcap NDT and Chemical Processing accreditations, • Serves as the primary escort for audits., • Develops, executes, implements, and evaluates the effectiveness of corrective actions resulting from audits., • Maintaining FAA Repair Station registration, • Serves as the secondary “Accountable Manager” on behalf of the President., • Participates in the implementation, reviews and approves corrective actions resulting from audits., • Acts as the primary point of contact and preparation of customer audits., • With direct support from top management, implements the strategic plans for Quality Management that include actions needed for or related to:, • Creating a “Quality First” work force, • Customer Focus, • The integration of the QMS requirements into company processes (“on the floor”, software, etc.), • The effectiveness of the QMS and its processes, • Quality Policy, Quality Objectives, and KPI’s (Key Performance Indicators), • Risks and Opportunities, • Monitoring, measuring, analyzing, and evaluating data IAW QMS requirements., • Eliminate /risk mitigation of repeat product nonconformities., • The maintenance of production support processes, as it relates to the QMS, including but not limited to: document control, record control, customer approvals, outside vendors/suppliers/purchasing, corrective action, non-conforming material, employee training, calibration, contract review, planning, and internal auditing., • Interface and support NDT Department, • The communication, timeliness, and resolution of customer inquiries/requests related to the activities carried out within the Quality Department, • On-boarding and training of direct reports, • The over-sight of the on-boarding and training process of all Quality Department personnel., • The support needed for the on-boarding and training process of all employees as requested by management (“Quality First” work force), • Excellent customer service and resolution skills, • Excellent communication skills (written, verbal, professional), • Previous quality management experience, • Advanced computer skills: Excel, Word, PowerPoint, Access, Outlook, • Application of ISO9001 or AS9100 requirements, • Experience working in a high demand, fast paced, multi-responsibility environment., • Strong problem solving skills., • Familiar with blueprint reading and interpretation., • Technical reading and writing skills (aerospace specifications and procedures), • Development of visual work instruction documentation, • Development of training materials and presentations, • Internal auditing, • Application of the Root Cause Corrective action process, • Strong project management and implementation skills, • Team building and conflict resolution skills., • Time management and organization skills, • Ability to work as a team and independently., • Requires minimal supervision and practices self-accountability., • Possess an elevated level of personal integrity, accountability, and it respectful by nature., • Possess a personal commitment to collaborate with a team to deliver a quality product and service., • Seeks out to continuously improve systems, processes, and the people around them., • Strong understanding of DMAIC (Define, Measure, Analyze, Improve, Control) process and PDCA (Plan, Do, Check, Act) process., • Current state and future state Value Stream Mapping and time studies, • Graphical data analysis: histograms, pareto charts, pie charts, run charts, control charts, correlation analysis., • Statistical data analysis: regression analysis, ANOVA, DOE, Process Capability (cpK), • Failure Modes and Effects Analysis (FMEA), • Project Planning creation and development, • Nadcap Chemical Processing quality requirements, • Excel skills include pivot tables, pareto charts, line charts, and pie charts., • Application of all AS9100 and aerospace customer requirements, • Application of all Nadcap Chemical Processing requirements, • Internal auditing (AS9100, Nadcap requirements), • Previous experience implementing quality management systems and processes (AS9100, Nadcap, etc.), • Previous experience with obtaining approvals for major aerospace primes., • Previous experience with technical plan development for obtaining approvals for major aerospace primes., • Prior experience interpreting acceptance criteria and testing results., • Expert of corrective action development, execution, implementation, and sustainment (Nadcap RCCA, 8-D), • Advanced/expert project management skills (project planning, execution, implementation, and sustainment), • Understanding of the entire manufacturing process, • The ability to mentor, coach, and train other individuals with varying backgrounds (degreed and non-degreed) Education / Work Experience A Plus: • 3+ years experience in the aerospace industry, • 3+ years quality management and/or machine shop manufacturing management experience, • 2+ years experience working in an aerospace production environment., • Bachelor’s degree in a technical field or business discipline or equivalent experience Company DescriptionHixson Metal Finishing is a premier metal finishing company whose vision is rooted in excellence, integrity, and accountability. From our original location in Newport Beach, California, we have worked diligently since 1960 to demonstrate just how far these values extend by providing a broad range of services to the military, aerospace, and commercial aircraft communities with competitive prices, timely delivery, and outstanding quality. We offer more than 80 finishing processes that run the gamut from simple “rack-and-run” jobs to very complex multi-process jobs, including anodizing, precious metals, cadmium and nickel plating, non-destructive testing, painting, and many more. A great source of pride for us is our persistent pursuit of improving our current processes and our willingness to develop new and innovative methods and technologies to meet the needs and expectations of our customers.Hixson Metal Finishing is a premier metal finishing company whose vision is rooted in excellence, integrity, and accountability. From our original location in Newport Beach, California, we have worked diligently since 1960 to demonstrate just how far these values extend by providing a broad range of services to the military, aerospace, and commercial aircraft communities with competitive prices, timely delivery, and outstanding quality.\r\n\r\nWe offer more than 80 finishing processes that run the gamut from simple “rack-and-run” jobs to very complex multi-process jobs, including anodizing, precious metals, cadmium and nickel plating, non-destructive testing, painting, and many more. A great source of pride for us is our persistent pursuit of improving our current processes and our willingness to develop new and innovative methods and technologies to meet the needs and expectations of our customers.

Job Description Job Summary: The Database Administrator assists with development and maintenance of SQL databases and development of business intelligence applications, DBA responsibility including data modeling, performance, integrity and security of database, also troubleshooting user issues, user access data concurrently, and database backup/restore planning. This role is critical to ensuring the integrity, availability, and security of our data, and to supporting our advanced data analytics and machine learning initiatives. Essential Duties and Responsibilities: • Design, implement, and maintain robust database architectures that meet business requirements., • Develop and implement processes for cleaning, organizing, and transforming data from various sources, • Identify and rectify data quality issues, including duplicates, missing values, and inconsistencies, • Install, configure, and maintain Microsoft SQL Server databases, • Ensure high availability, disaster recovery, and security of databases, • Optimize database performance through regular monitoring, tuning, and maintenance activities, • Manage database security, including user access and permissions, • Develop and implement automated processes for data extraction, transformation, and loading (ETL), • Create scripts and tools to automate routine database maintenance tasks, • Continuously evaluate and improve database management processes to increase efficiency, • Work closely with cross-functional teams, including Research, IT, and software development, • Refine the logical design so that it can be translated into a specific data model, • Maintain data standards, including adherence to the Data Protection Act, HIPAA, • Write database documentation, including data standards, procedures, and definitions Qualifications and Requirements: • Bachelor’s degree in Computer Science, Computer Engineering, or Mathematics, • Master’s degree in a related field a plus, • Certifications in database management or related technologies a plus Knowledge and Skills and abilities: • Strong proficiency in SQL and experience with major database systems (e.g., SQL Server, MySQL, PostgreSQL)., • Problem-solving and good analytical skills, • Proven experience as a Database Administrator with a focus on data cleanup, transformation, architecture, and automation., • Experience with ETL tools and processes., • Familiarity with machine learning concepts and tools (e.g., Python, R, TensorFlow, scikit-learn), • Knowledge of data warehousing and big data technologies, • Excellent problem-solving skills and attention to detail., • Strong communication and collaboration skills., • Excellent verbal and written communication skills, • Experience with cloud database solutions (e.g., AWS RDS, Azure SQL Database, Google Cloud SQL) is a plus

Job Description Data and Reports Analyst - Excel (advanced level/power user) Mandatory: Must have a very strong Excel skillset and experience related to data and reporting. NO SPONSORSHIPS, NO STAFFING AGENCIES. ONSITE AT OUR ORANGE COUNTY (CALIFORNIA) CLIENT LOCATION WITH FUTURE POSSIBILITY OF HYBRID REMOTE. WE ARE HOPING TO FIND THE RIGHT CANDIDATE FOR THE LONG TERM, SO PLEASE MAKE SURE YOU MEET THE POSITION DETAILS. The Excel Data and Reports Analyst will support a Sr. Manager of our Interactive Marketing team onsite in Fountain Valley, California. They will help with the marketing website initiatives, SAP data entry. The ideal candidate must have a strong desire to apply their analytical skills to turn data into actionable insights. You will thrive in a team-oriented environment as you work hand-in-hand with National Sales, Regional Offices, Product Management, Client Management and IT. This person must be a strong communicator, have positive energy, be detail-oriented, be very resourceful, be self-sufficient (no babysitting), be a quick learner, and must love following processes and creating processes if necessary. Must be comfortable working in a fast-paced work environment. This position requires a data-driven mind and a strong understanding of data and reporting-related skills using Excel (advanced level/power user is ideal). In this role, you will: • Establish & maintain processes to collect, understand, cleanse and automate analysis of supply chain data efficiently derive business insight., • Establish & maintain methods that enable data visualization to derive business insights that tell the story., • Use strong statistical knowledge to create trend identification & make predictions about Supply chain-related elements; needs to truly understand elements within the data that can’t be identified by the naked eye., • Develop and implement data models that significantly impact areas such as supply chain optimization, inventory optimization, manufacturing & distribution optimization, business strategy, and more. Traits we believe make a strong candidate: • Bachelor’s degree in Data Analytics or related discipline (Computer Science, Mathematics)., • Experience and comfort in working with large data sets and advanced skills related to the use of Microsoft Excel (strong MS Office Excel skills mandatory)., • Education/Experience with advanced analytical techniques (e.g., machine learning, optimization, pattern recognition, cluster analysis, segmentation analysis, probability and statistics, time-series analysis, and predictive modeling etc.), • Education/Experience with data analysis tools and languages (e.g., Python, R, etc.) is a plus., • Education/Experience with data visualization tools (e.g,. Tableau, PowerBI, etc.) is a plus., • Diligent attention to detail and strong technical intuition., • Ability to translate business needs into advanced analytics solutions., • Ability to communicate effectively in both extremes (technical side vs. business side)., • Ability to collaborate effectively in a cross-functional environment., • Ability to manage time and schedules to meet deadlines. Your success will be measured by: • Enthusiasm, initiative, and pride in work., • Accountability for results and respectfully & openly expresses ideas and viewpoints., • Leverages technical knowledge, process knowledge, and tools to solve problems and drive continuous improvement., • Never satisfied with the status quo. · Experience in Data Entry (SAP is preferable) and Analytics. · Experience working across multiple functional areas. · Digital Marketing and Website or .com project experience preferred but not mandatory. · Automotive background a plus. Software/Technical Expertise (MANDATORY): · Excel Power-User for Data and Reporting · Experience level in MS Visio, Project, and SharePoint. · Proficient JIRA experience. Soft Skills: · Be a strategic thinker and a remarkable problem-solver. · Requires strong written and verbal communication skills. · Requires multi-tasking ability, self-organization, prioritization, and time management. · Requires strong multi-project and enterprise project management skills. · Ability to strongly perceive and analyze, not only projects but situations and people. · Must be detail-oriented. · Requires interpersonal skills to interact with various organizational levels and in a multi-cultural environment. · Requires a positive and proactive attitude, kindness, professionalism, and mutual respect for peers. · Requires the ability to work well under pressure, in tight timelines, and fast-paced. · Requires flexibility to work in a dynamic environment. Company DescriptionPLEASE READ THIS BEFORE APPLYING: No Visa Sponsorships, No Staffing Companies. No Transfers. No Relocation reimbursements. Interviews will be a combination of phone, video conference/onsite. If you feel you are a good fit... then don't hesitate to APPLY here, however, make sure you meet the minimum requirements first as we are looking for a Rockstar for the long term. This position requires conducting a background check as part of job acceptance. PLEASE READ THIS BEFORE APPLYING: No Visa Sponsorships, No Staffing Companies. No Transfers. No Relocation reimbursements. Interviews will be a combination of phone, video conference/onsite.PLEASE READ THIS BEFORE APPLYING: No Visa Sponsorships, No Staffing Companies. No Transfers. No Relocation reimbursements. Interviews will be a combination of phone, video conference/onsite.\r\n\r\nIf you feel you are a good fit... then don't hesitate to APPLY here, however, make sure you meet the minimum requirements first as we are looking for a Rockstar for the long term.\r\n\r\nThis position requires conducting a background check as part of job acceptance.\r\n\r\nPLEASE READ THIS BEFORE APPLYING: No Visa Sponsorships, No Staffing Companies. No Transfers. No Relocation reimbursements. Interviews will be a combination of phone, video conference/onsite.

Job Description BKM Capital Partners is a growing firm, and we are looking for hardworking professionals that want to grow with us. Located in our Newport Beach, California office, the Senior Director of Financial Performance and Analytics will have four primary responsibilities: 1) architecture and maintenance of BKM’s data strategy and warehouse; 2) risk and financial research and analytics in support of investment decisions; 3) investment performance analysis, attribution, and reporting; 4) oversight of the firm’s corporate FP&A function. The ideal candidate will have a proven ability to lead high-performing analytical teams, redesign and automate reporting functions, and apply innovative modeling techniques to evaluate market trends and portfolio performance. This role will further drive institutionalization the firm’s investment analytical capabilities in conjunction with building a robust corporate FP&A function. A key component of the role will develop and maintain strategic frameworks, dashboards, and analytical tool that will be used internally and with investors. This role currently oversees a team of up to seven (7) members. We are seeking a leader with a strong presence and proven ability to inspire and guide a diverse team. At BKM, our leadership philosophy centers on developing, coaching, and empowering our people to reach their full potential and thrive in a fast-paced, dynamic environment. The Job Essentials Departmental Leadership & Strategic Oversight • Lead, mentor, and develop a high-performing finance and analysis team focused on delivering internal reporting, analysis, and insight., • Restructure department workflows and communication lines to remove external-facing functions and focus on internal service delivery., • Partner cross-functionally with Asset Management, Fund Finance, Investor Relations, Acquisitions, and Executive Leadership to ensure alignment on reporting needs and strategic objectives. Investment Performance Analysis • Monitoring & Reporting: Evolve and improve asset- and fund-level metrics, identifying trends or issues impacting portfolio returns., • Resource Allocation: Work with Asset Management to prioritize properties and capital projects by assessing return potential, project timelines, and investor expectations., • Attribution Analysis: Conduct deeper evaluations of capital projects and operating initiatives to identify key drivers of success or underperformance., • Portfolio Modeling: Develop analytics and tools to model and stress test risk and return scenarios at acquisition, and for ongoing analysis through asset’s hold period., • Risk Management: Improve and mature asset and portfolio level stress testing over multiple potential market scenarios. Drive and continually improve tenant credit assessments., • Standardization: Help drive consistency between the deal/underwriting teams and asset management processes (beyond debt integrations) to streamline workflows and elevate performance tracking. Corporate Performance Analysis • Lead the corporate financial planning and analysis function. Develop Modeling tools to assess revenue and profit impact of multiple scenarios., • Create reports and analytics for the execute team to monitor cash flows, revenues, expenses, budgets, and other key business drivers. Dashboard & Reporting Infrastructure • Design and manage interactive dashboards to track: o Portfolio performance metrics o Market exposures o Financing concentrations o Peer benchmarking o KPIs across asset classes • Create and implement automated reporting solutions that centralize data from various departments into a unified analytics platform., • Own all reporting packages submitted to internal committees, including Investment Committee and Strategic Planning. Analytics Innovation & Data Strategy • Spearhead the development of new analytical tools and methodologies for asset and market evaluation. o Examples include broker performance scoring, unit configuration effectiveness, deal size impact on returns, and lease structure optimization. • Encourage a culture of innovation within the team, fostering collaboration with data engineers and software vendors as needed., • Oversee the evolution of reporting tools and valuation templates to ensure accuracy, relevance, and scalability. Predictive Modeling & Market Intelligence • Develop and maintain predictive models that assess macroeconomic and regional risks and opportunities., • Stay ahead of trends in industrial real estate, using data to forecast occupancy risks, leasing demand, and capital deployment strategies., • Deliver market intelligence reports for executive-level strategic planning sessions. Data-Driven Recommendations & Strategy Enablement • Translate complex data into clear, actionable recommendations for executive-level decision making., • Provide scenario modeling and stress testing to support fund-level and asset-level strategic decisions., • Participate in quarterly asset strategy reviews, risk assessments, and hold/sell decision frameworks. Investment and Portfolio Risk Management • CANI: Partner with internal departments to constantly improve underwriting, market selection, and risk assessment across all investments., • Quantitative Portfolio Analysis: Leverage internal and external data sources to answer critical portfolio-level questions, including: o Market Allocation: Evaluate which markets to target (or reduce exposure to) based on economic indicators, growth prospects, and demand-supply fundamentals particular to BKM’s light industrial thesis. o Pricing & Timing: Provide guidance on appropriate pricing strategies and timing of acquisitions/dispositions. o Risk Assessment: Identify potential risks (economic, policy, operational) that could impact performance, and model scenarios to gauge the effect on overall portfolio returns. • Market Risk Prioritization: Formalize and rank various target markets based on risk-adjusted return potential, helping leadership allocate resources efficiently., • Stress Testing: Conduct scenario analyses (e.g., interest rate shifts, economic downturns) to inform capital structure decisions, investor alignment, and risk mitigation strategies., • Post-Mortem Attribution: Perform retrospective analyses to separate market-driven returns from operational value-add, and extract lessons learned for continuous improvement. Data Analytics and Frameworks • Dashboard & Reporting: Create and manage interactive dashboards to monitor portfolio performance, market exposures, financing concentrations, benchmark against peer set, and other key metrics, enabling quick decision-making., • Analytics Innovation: Engage analytics staff to develop new ways of evaluating assets and markets (e.g., broker performance, deal size, unit configuration) to enhance returns., • Market Intelligence: Stay ahead of macroeconomic and regional trends impacting industrial real estate, creating predictive models that identify emerging opportunities and risks., • Data-Driven Recommendations: Translate complex data sets into clear, actionable insights for investment committee discussions and broader firm strategy. AI-Powered Research & Platform Innovation, • Where appropriate and feasible, embed AI into the investment platform. Design and deploy machine‑learning models and generative‑AI workflows that turn BKM’s internal and third‑party data into real‑time, on‑demand market intelligence, underwriting guidance, and automated portfolio dashboards., • Partner with the Technology, Data Warehouse, and Strategic Initiative teams to integrate AI tools into existing workflows, and lead training sessions that raise AI literacy across the organization., • Measure and iterate. Define KPIs for each AI solution (speed‑to‑insight, forecast accuracy, cost savings) and run post‑implementation reviews to refine models and maximize ROI. The Qualifiers • Bachelor’s degree in Finance, Economics, or related field; MBA or Master’s degree strongly preferred. CFA preferred., • Experience: 15+ years of experience in investment research and analysis, ideally within industrial or commercial real estate. Strong preference for experience servicing as a lead portfolio manager responsible for investment decisions and risk., • Proficiency in financial modeling and underwriting (Excel, Argus), • Expertise in market research tools (CoStar, Real Capital Analytics, REIS), • Expertise in data analytics and visualization platforms (Tableau, Power BI, etc.), • Leadership & Management: Demonstrated ability to build, mentor, and manage teams in a fast-paced, growth-oriented environment., • Communication: Exceptional written, verbal, and presentation skills, with the ability to distill complex analyses into compelling narratives., • Strategic Thinking: Adept at linking macro-level trends to specific market- and asset-level strategies; skilled at scenario modeling and risk assessment., • Collaboration: Strong interpersonal skills to partner effectively with cross-functional teams and external stakeholders., • Personal Attributes: Highly motivated, detail-oriented, solutions-focused, with a passion for continuous improvement and driving innovation. The Perks • Competitive Pay + Bonus Incentive, • Medical, Dental, Vision and Life Insurance, • Paid Time Off, • 401k Plan, • Professional Development Resources, • Fun Work Environment (Indoor basketball/gym, creative office, team-building events, company training opportunities, and much more)

Job DescriptionData Operations Analyst Salary Range - $70,000 - 75,000 USD per year About This Role We are seeking a detail-oriented and analytical Data Operations Analyst to serve as the backbone of our data ecosystem. This role goes beyond traditional data analysis—you'll manage critical data workflows, coordinate across multiple teams and platforms, and drive continuous improvement in how we collect, validate, and deliver data insights that power business decisions. The ideal candidate combines strong analytical capabilities with operational excellence and cross-functional collaboration skills. If you thrive in a role where you can influence both the "what" and the "how" of data operations, this is an excellent opportunity. What Success Looks Like You will be successful in this role when you consistently deliver: • Accurate, timely, and actionable data that stakeholders trust and use for critical decisions, • Seamless cross-team coordination that keeps data flowing smoothly across systems and organizations, • Manage intake, validation, and delivery of data on recurring weekly and monthly cycles, • Coordinate with external partners and internal teams on data workflows and requirements, • Ensure data accuracy and timely submission for reporting and business processes, • Track, log, and escalate data issues to appropriate stakeholders, • Maintain version control and comprehensive documentation for all reports and processes, • Lead efforts to automate reporting processes and eliminate unnecessary manual workData Analysis & Reporting (25-30%), • Perform statistical analysis and data mining to identify trends, patterns, and insights, • Create dashboards, reports, and visualizations using Tableau, Power BI, or similar tools, • Conduct ad hoc analysis to answer specific business questions, • Monitor key performance indicators (KPIs) and business metrics, • Prepare regular and specialized reports for management and stakeholders, • Translate complex data findings into clear, actionable recommendationsBusiness Intelligence & Process Improvement (20-25%), • Translate business requirements into analytical approaches and solutions, • Participate in discovery sessions to identify data gaps, errors, and improvement opportunities, • Develop recommendations for workflow optimization and automation, • Collaborate with cross-functional teams to support data-driven decision making, • Present findings effectively to both technical and non-technical audiences, • Support forecasting, planning, and strategic initiatives through data analysisTechnical Data Management (15-20%), • Develop strong understanding of data architecture across multiple integrated systems, • Gather and integrate data from databases, APIs, and external data providers, • Write SQL queries to extract and manipulate data from various sources, • Clean, validate, and organize raw data to ensure consistency and quality, • Maintain data integrity across multiple platforms and environments, • Develop and maintain automated data pipelines where possible, • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or related quantitative field, • 3-5 years of experience in data analysis, business intelligence, or data operations, • Demonstrated experience working with large datasets and complex data structures, • Proven track record of managing data workflows and delivering insights that drive business decisionsTechnical Skills, • SQL proficiency for database querying and data manipulation (required), • Advanced Excel skills including pivot tables, VLOOKUP/XLOOKUP, and statistical functions, • Data visualization experience with Tableau, Power BI, or similar platforms, • Analytical tools familiarity with R, Python, or similar for analysis and automation, • Database knowledge understanding of relational databases and data integration concepts, • Documentation skills ability to create clear technical and process documentationPreferred Qualifications, • Experience with cloud platforms (AWS, Azure, Google Cloud), • Programming experience in Python or R for data analysis and automation, • Familiarity with version control systems (Git), • Knowledge of ETL processes and data warehousing concepts, • Experience in automotive, retail, or training/learning industries, • Strong problem-solving abilities and critical thinking skills, • Exceptional attention to detail and commitment to data accuracy, • Ability to work with ambiguous requirements and develop structured approaches, • Technical aptitude for learning new tools and systems quicklyCommunication & Collaboration:, • Excellent written and verbal communication skills, • Ability to present complex data insights to diverse audiences, • Strong data storytelling and visualization capabilities, • Collaborative mindset with proven cross-functional teamworkOperational & Organizational:, • Superior organizational and time management abilities, • Capability to manage multiple concurrent data streams and priorities, • Process improvement orientation with focus on efficiency, • Self-motivated with ability to work independently and take ownershipPersonal Attributes:, • Adaptable to changing priorities and business needs, • Results-oriented with commitment to quality, • Intellectual curiosity and continuous learning mindset, • Proactive approach to identifying and solving problemsWorking Conditions, • Primarily remote position with regular onsite requirements, • Approximately 25-30% travel: regular onsite collaborative sessions in South Orange County and periodic travel to locations around the U.S., • Standard business hours with flexibility based on project demands, • Regular participation in cross-functional meetings and presentations, • May require occasional extended hours during critical reporting periodsWhat We Offer, • Competitive salary commensurate with experience, • Comprehensive health insurance package, • Professional development opportunities and training budget, • Flexible paid time off policy, • Your experience managing data workflows across multiple systems or teams, • A specific example of a process improvement or automation you implemented, • Your approach to ensuring data accuracy and qualityQualified candidates should include examples or portfolio materials demonstrating:, • Data visualizations or dashboards you've created

Job Description BKM Capital Partners is a growing firm, and we are looking for hardworking professionals that want to grow with us. Located in our Newport Beach, California office, the Senior Director of Financial Performance and Analytics will have four primary responsibilities: 1) architecture and maintenance of BKM’s data strategy and warehouse; 2) risk and financial research and analytics in support of investment decisions; 3) investment performance analysis, attribution, and reporting; 4) oversight of the firm’s corporate FP&A function. The ideal candidate will have a proven ability to lead high-performing analytical teams, redesign and automate reporting functions, and apply innovative modeling techniques to evaluate market trends and portfolio performance. This role will further drive institutionalization the firm’s investment analytical capabilities in conjunction with building a robust corporate FP&A function. A key component of the role will develop and maintain strategic frameworks, dashboards, and analytical tool that will be used internally and with investors. This role currently oversees a team of up to seven (7) members. We are seeking a leader with a strong presence and proven ability to inspire and guide a diverse team. At BKM, our leadership philosophy centers on developing, coaching, and empowering our people to reach their full potential and thrive in a fast-paced, dynamic environment. Due to our collaborative culture, this position is 100% in office. The Job Essentials Departmental Leadership & Strategic Oversight• Lead, mentor, and develop a high-performing finance and analysis team focused on delivering internal reporting, analysis, and insight. • Restructure department workflows and communication lines to remove external-facing functions and focus on internal service delivery., • Partner cross-functionally with Asset Management, Fund Finance, Investor Relations, Acquisitions, and Executive Leadership to ensure alignment on reporting needs and strategic objectives. Investment Performance Analysis • Monitoring & Reporting: Evolve and improve asset- and fund-level metrics, identifying trends or issues impacting portfolio returns., • Resource Allocation: Work with Asset Management to prioritize properties and capital projects by assessing return potential, project timelines, and investor expectations., • Attribution Analysis: Conduct deeper evaluations of capital projects and operating initiatives to identify key drivers of success or underperformance., • Portfolio Modeling: Develop analytics and tools to model and stress test risk and return scenarios at acquisition, and for ongoing analysis through asset’s hold period., • Risk Management: Improve and mature asset and portfolio level stress testing over multiple potential market scenarios. Drive and continually improve tenant credit assessments., • Standardization: Help drive consistency between the deal/underwriting teams and asset management processes (beyond debt integrations) to streamline workflows and elevate performance tracking. Corporate Performance Analysis • Lead the corporate financial planning and analysis function. Develop Modeling tools to assess revenue and profit impact of multiple scenarios., • Create reports and analytics for the execute team to monitor cash flows, revenues, expenses, budgets, and other key business drivers. Dashboard & Reporting Infrastructure • Design and manage interactive dashboards to track: o Portfolio performance metrics o Market exposures o Financing concentrations o Peer benchmarking o KPIs across asset classes • Create and implement automated reporting solutions that centralize data from various departments into a unified analytics platform., • Own all reporting packages submitted to internal committees, including Investment Committee and Strategic Planning. Analytics Innovation & Data Strategy • Spearhead the development of new analytical tools and methodologies for asset and market evaluation. o Examples include broker performance scoring, unit configuration effectiveness, deal size impact on returns, and lease structure optimization. • Encourage a culture of innovation within the team, fostering collaboration with data engineers and software vendors as needed., • Oversee the evolution of reporting tools and valuation templates to ensure accuracy, relevance, and scalability. Predictive Modeling & Market Intelligence • Develop and maintain predictive models that assess macroeconomic and regional risks and opportunities., • Stay ahead of trends in industrial real estate, using data to forecast occupancy risks, leasing demand, and capital deployment strategies., • Deliver market intelligence reports for executive-level strategic planning sessions. Data-Driven Recommendations & Strategy Enablement • Translate complex data into clear, actionable recommendations for executive-level decision making., • Provide scenario modeling and stress testing to support fund-level and asset-level strategic decisions., • Participate in quarterly asset strategy reviews, risk assessments, and hold/sell decision frameworks. Investment and Portfolio Risk Management • CANI: Partner with internal departments to constantly improve underwriting, market selection, and risk assessment across all investments., • Quantitative Portfolio Analysis: Leverage internal and external data sources to answer critical portfolio-level questions, including: o Market Allocation: Evaluate which markets to target (or reduce exposure to) based on economic indicators, growth prospects, and demand-supply fundamentals particular to BKM’s light industrial thesis. o Pricing & Timing: Provide guidance on appropriate pricing strategies and timing of acquisitions/dispositions. o Risk Assessment: Identify potential risks (economic, policy, operational) that could impact performance, and model scenarios to gauge the effect on overall portfolio returns. • Market Risk Prioritization: Formalize and rank various target markets based on risk-adjusted return potential, helping leadership allocate resources efficiently., • Stress Testing: Conduct scenario analyses (e.g., interest rate shifts, economic downturns) to inform capital structure decisions, investor alignment, and risk mitigation strategies., • Post-Mortem Attribution: Perform retrospective analyses to separate market-driven returns from operational value-add, and extract lessons learned for continuous improvement. Data Analytics and Frameworks • Dashboard & Reporting: Create and manage interactive dashboards to monitor portfolio performance, market exposures, financing concentrations, benchmark against peer set, and other key metrics, enabling quick decision-making., • Analytics Innovation: Engage analytics staff to develop new ways of evaluating assets and markets (e.g., broker performance, deal size, unit configuration) to enhance returns., • Market Intelligence: Stay ahead of macroeconomic and regional trends impacting industrial real estate, creating predictive models that identify emerging opportunities and risks., • Data-Driven Recommendations: Translate complex data sets into clear, actionable insights for investment committee discussions and broader firm strategy. AI-Powered Research & Platform Innovation, • Where appropriate and feasible, embed AI into the investment platform. Design and deploy machine‐learning models and generative‐AI workflows that turn BKM’s internal and third‐party data into real‐time, on‐demand market intelligence, underwriting guidance, and automated portfolio dashboards., • Partner with the Technology, Data Warehouse, and Strategic Initiative teams to integrate AI tools into existing workflows, and lead training sessions that raise AI literacy across the organization., • Measure and iterate. Define KPIs for each AI solution (speed‐to‐insight, forecast accuracy, cost savings) and run post‐implementation reviews to refine models and maximize ROI. The Qualifiers • Bachelor’s degree in Finance, Economics, or related field; MBA or Master’s degree strongly preferred. CFA preferred., • Experience: 15+ years of experience in investment research and analysis, ideally within industrial or commercial real estate. Strong preference for experience servicing as a lead portfolio manager responsible for investment decisions and risk., • Proficiency in financial modeling and underwriting (Excel, Argus), • Expertise in market research tools (CoStar, Real Capital Analytics, REIS), • Expertise in data analytics and visualization platforms (Tableau, Power BI, etc.), • Leadership & Management: Demonstrated ability to build, mentor, and manage teams in a fast-paced, growth-oriented environment., • Communication: Exceptional written, verbal, and presentation skills, with the ability to distill complex analyses into compelling narratives., • Strategic Thinking: Adept at linking macro-level trends to specific market- and asset-level strategies; skilled at scenario modeling and risk assessment., • Collaboration: Strong interpersonal skills to partner effectively with cross-functional teams and external stakeholders., • Personal Attributes: Highly motivated, detail-oriented, solutions-focused, with a passion for continuous improvement and driving innovation. The Perks • Competitive Pay + Bonus Incentive, • Medical, Dental, Vision and Life Insurance, • Paid Time Off, • 401k Plan, • Professional Development Resources

Job Description Job Summary Design, build, and maintain the Information/Proposed Changes platform that enables large-scale data processing and analysis. Responsible for developing and maintaining data pipelines, data lakes, and other data-related platform. Work closely with data scientists, analysts, and other stakeholders to ensure that data is properly collected, stored, and processed for analysis and reporting purposes. Implement and maintain data security and access controls to ensure that data is protected. Responsible for troubleshooting and resolving technical issues related to data infrastructure and ensuring that data systems are scalable and efficient. Play a critical role in enabling organization to derive insights and value from their data assets. ESSENTIAL FUNCTIONS • This job requires experience in building and maintaining scalable data pipelines and robust data models from structured and unstructured sources for AI/ML., • The ideal candidate should have advanced SQL skills and be able to query and transform large structured/unstructured datasets using Spark/PySpark, Spark SQL/Hive and Hive/NoSQL., • They should also have experience in developing Big Data pipelines in orchestration tools such as Airflow and Oozie, designing tooling for access management, monitoring, data controls, and self-service ETL/Analytics pipelines., • Other requirements include hands-on experience with On-Prem Big Data Platform, sound knowledge of Distributed Data Processing frameworks, resource management frameworks like YARN, and proficiency in writing data pipelines using Spark, Python and Scala., • The ideal candidate should also have experience in developing frameworks/utilities in Python, working in a Dev/Ops environment, and following development best practices such as code reviews and unit testing., • Additionally, the candidate should be able to diagnose software issues and engineering workarounds, have a good understanding of BI tools such as Tableau/Power BI and MicroStrategy for Big Data, and be able to lead, guide and assist team members with project development and problem solving., • The candidate should also be flexible and able to learn and use new technologies, work well in a team environment as well as independently to achieve goals. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Required Skills, Attributes & Education • Bachelor’s degree OR equivalent (with major course work in computer science) preferred, • 8+ years of IT experience working with hands on working experience, in software development, building data pipelines and data processing frameworks., • 4+ years of experience as a Data Engineer, • Big Data Technologies: Knowledge of Big Data technologies such as Hadoop, Spark, Hive, Pig, Kafka, and NoSQL databases such as MongoDB, Cassandra, and HBase., • Distributed Systems: Understanding of distributed systems and distributed computing principles., • Programming Languages: Proficiency in programming languages such as Java, Python, Scala, and SQL., • Data Modeling: Knowledge of data modeling techniques and tools to design efficient data structures for Big Data systems., • Data Processing: Experience with data processing and ETL (Extract, Transform, Load) tools and techniques., • Cloud Computing: Familiarity with cloud computing platforms such as AWS, Azure, and Google Cloud., • Data Security: Knowledge of data security principles and experience implementing security measures for Big Data systems., • Data Warehousing: Understanding of data warehousing concepts and experience designing and maintaining data warehouses., • Analytics and Machine Learning: Familiarity with analytics and machine learning tools and techniques and their implementation in Big Data systems., • Performance Tuning: Experience with performance tuning and optimization techniques for Big Data systems to ensure scalability, reliability, and high availability. Certifications Cloudera/Hortonworks/Databricks - Spark/Hadoop certification Salary Range: $103,170 to $158,873 Powered by JazzHR t7jF5E65pe

Job Description Data Analyst - Leads Management for Websites, Marketing, Communications, Data Entry Must have very strong Excel skillset and experience related to data NO SPONSORSHIPS, NO STAFFING AGENCIES. ONSITE AT OUR ORANGE COUNTY (CALIFORNIA) CLIENT LOCATION WITH FUTURE POSSIBILITY OF HYBRID REMOTE. WE ARE HOPING TO FIND THE RIGHT CANDIDATE FOR THE LONG TERM, SO PLEASE MAKE SURE YOU MEET THE POSITION DETAILS. The Data Analyst will support a Sr. Manager of our Interactive Marketing team onsite in Fountain Valley, California. They will help with the marketing website initiatives, SAP data entry, tracking of invoices against SOWs, communications with partners for product launches and campaigns, and also be working cross-functionally with Marketing and Business Partners from other groups. The ideal candidate must have a strong desire to apply their analytical skills to turn data into actionable insights. You will thrive in a team-oriented environment as you work hand-in-hand with National Sales, Regional Offices, Product Management, Client Management and IT. This person must be a strong communicator, have positive energy, be detail-oriented, be very resourceful, be self-sufficient (no babysitting), be a quick learner, must love following processes and creating processes if necessary. Must be comfortable working in a fast-paced work environment. This is NOT a Project Management Position. This position requires a data-driven mind and a strong understanding of data-related tools: PowerBI, Tableau, and Excel. << In this role you will: • Establish & maintain processes to collect, understand, cleanse and automate analysis of supply chain data efficiently derives business insight., • Establish & maintain methods that enable data visualization to derive business insights that tell the story., • Use strong statistical knowledge to create trend identification & make predictions about Supply chain-related elements; needs to truly understand elements within the data that can’t be identified by the naked eye., • Develop and implement data models that significantly impact areas such as supply chain optimization, inventory optimization, manufacturing & distribution optimization, business strategy, and more. Traits we believe make a strong candidate: • Bachelor’s degree in Data Analytics or related discipline (Computer Science, Mathematics)., • Experience and comfort in working with large data sets and advanced skills related to the use of Microsoft Excel (strong MS Office Excel skills mandatory)., • Education/Experience with advanced analytical techniques (e.g., machine learning, optimization, pattern recognition, cluster analysis, segmentation analysis, probability and statistics, time-series analysis, and predictive modeling etc.), • Education/Experience with data analysis tools and languages (e.g., Python, R, etc.), • Education/Experience with data visualization tools (e.g,. Tableau, PowerBI, etc.), • Diligent attention to detail and strong technical intuition., • Ability to translate business needs into advanced analytics solutions., • Ability to communicate effectively in both extremes (technical side vs. business side)., • Ability to collaborate effectively in a cross-functional environment., • Ability to manage time and schedules to meet deadlines. Your success will be measured by: • Enthusiasm, initiative, and pride in work., • Accountability for results and respectfully & openly expresses ideas and viewpoints., • Leverages technical knowledge, process knowledge, and tools to solve problems and drive continuous improvement., • Never satisfied with the status quo. · Experience in Data Entry (SAP is preferable) and Analytics. · Experience working across multiple functional areas. · Digital Marketing and Website or .com project experience preferred but not mandatory. · Automotive background a plus. Software/Technical Expertise (MANDATORY): · Solid experience level in MS Word, Excel, PowerPoint, and Outlook. · Solid experience level in MS Visio, Project, and SharePoint. · Proficient JIRA experience. · Other project management tools are a plus: Ex: Basecamp. Soft Skills: · Be a strategic thinker and a remarkable problem-solver. · Requires strong written and verbal communication skills. · Requires multi-tasking ability, self-organization, prioritization, and time management. · Requires strong multi-project and enterprise project management skills. · Ability to strongly perceive and analyze, not only projects but situations and people. · Must be detail-oriented. · Requires interpersonal skills to interact with various organizational levels and in a multi-cultural environment. · Requires a positive and proactive attitude, kindness, professionalism, and mutual respect for peers. · Requires the ability to work well under pressure, in tight timelines, and fast-paced. · Requires flexibility to work in a dynamic environment. Company DescriptionPLEASE READ THIS BEFORE APPLYING: No Visa Sponsorships, No Staffing Companies. No Transfers. No Relocation reimbursements. Interviews will be a combination of phone, video conference/onsite. If you feel you are a good fit... then don't hesitate to APPLY here, however, make sure you meet the minimum requirements first as we are looking for a Rockstar for the long term. This position requires conducting a background check as part of job acceptance. PLEASE READ THIS BEFORE APPLYING: No Visa Sponsorships, No Staffing Companies. No Transfers. No Relocation reimbursements. Interviews will be a combination of phone, video conference/onsite.PLEASE READ THIS BEFORE APPLYING: No Visa Sponsorships, No Staffing Companies. No Transfers. No Relocation reimbursements. Interviews will be a combination of phone, video conference/onsite.\r\n\r\nIf you feel you are a good fit... then don't hesitate to APPLY here, however, make sure you meet the minimum requirements first as we are looking for a Rockstar for the long term.\r\n\r\nThis position requires conducting a background check as part of job acceptance.\r\n\r\nPLEASE READ THIS BEFORE APPLYING: No Visa Sponsorships, No Staffing Companies. No Transfers. No Relocation reimbursements. Interviews will be a combination of phone, video conference/onsite.

Job Description Amen Clinics are outpatient health care clinics that have been providing mental wellness strategies to patients of all ages since 1989. We offer patient-first experiences and customized solutions to an array of behavioral and psychiatric conditions. This is an exciting and unique professional opportunity. The psychiatrist provides clinical leadership to ensure treatment is evidence-based and outcome driven. In addition to having the use of master’s level clinical historians, psychological testing, neuropsychological screening tools, functional brain imaging, and emerging treatments such as TMS and neurofeedback, you will be in a healthy and aesthetically pleasing work environment. You will be mentored on a variety of integrative methods that will expand your professional repertoire. You will also have multiple opportunities for writing and speaking, if that appeals to you. Essential Duties and Responsibilities: • Assist in the development, promotion and delivery of the approved Amen Clinics Method to brain health, • Patient evaluations – incorporate clinical history and brain SPECT scan findings during patient evaluation and complete final report on the day of patient evaluations., • Expected to remain current with brain imaging, psychiatric, pharmaceutical and nutraceutical technologies., • Evaluation and treatment of patients with various conditions, including: o Attention deficit/hyperactivity disorders o Mood disorders o Anxiety disorders o OCD o Psychosis o Post-Traumatic Stress Disorder o Traumatic brain injury o Obesity o Medical issues/hormone imbalances o Addictions o Alzheimer’s Disease o Memory and learning issues o Cognitive impairment o Autism spectrum disorders o Brain infections, such as Lyme disease • Commitment to using evidence-based, non-pharmacologic interventions correlated with research findings by Amen Clinics., • Attending Physician and Staff meetings., • Outreach/collaboration with outside professionals in order to build good relationships with referral sources. Qualifications and Requirements: • Board Certified preferred. Double Board Certified – a plus., • Experience working in a private practice setting--being efficient, developing referral relationships, doing outstanding clinical work, and establishing positive therapeutic relationships., • Willingness to learn to use brain imaging in clinical practice. We will train you to use brain SPECT imaging., • Experience dealing with medical issues including hormone imbalance and deficiencies as well as understanding the role they play in contributing to and/or complicating mental illness., • Experience treating patients with interventions other than psychotropic medications, including psychotherapy and evidence-based nutraceuticals. For those with limited experience in nutraceutical and other non-pharmacologic interventions, we will provide training., • Dedication to helping individuals, families and systems (such as schools, businesses, and treatment facilities) reach their full potential by creating and developing “brain healthy” strategies and practices., • Time management, organization and computer skills and ability to work independently and within a team are critical., • Excellent command of spoken and written English., • Empathy, emotional stability, ability to relate well to others, good communications skills, and above all genuine care and regard for the patient. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Sitting for long period of time, • Frequent typing and viewing of computer screen, • Frequent use of hand and fingers with machines, such as computer, copier, fax machine, scanner and telephone, • Frequent hearing, listening and speaking by telephone and in person, • Occasionally required to stand, walk, reach with hands and arms, stoop or bend Work Environment: The work environment described here are representative of those that an employee encounters white performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Work indoors in temperature-controlled environment, • The noise level is usually moderate with occasional outbursts from patients during treatment

Proficiency with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn is essential. Collaborate cross-functionally with engineering, product management, and fellow data scientists to apply advanced statistical techniques, informing strategic decisions and guiding the development

Senior Applied Machine Learning Engineer, Frontier AI. BS in Computer Science, Machine Learning, Electrical Engineering, or related field. AI Engineers on Anduril's Frontier AI team build edge-compatible, generative AI systems into the Lattice software platform to provide features and products that

Greenfield engineering, applying existing modern AI solutions to a profitable legal business. This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $200,000 per year A bit about us: Premier litigation law firm in California, dedicated to pioneering the future of legal services through advanced artificial intelligence. Our goal is to become one of the nation's first law firms built from the ground up with AI at its core. Why join us? • Zone A (Bay Area, NYC, Boston, DC, Seattle, LA): $180,000-$220,000, • Zone B (Dallas, Atlanta, Denver, Chicago, Miami, Austin, Portland, Philadelphia, Minneapolis, Phoenix): $140,000-$180,000, • Health coverage through United Healthcare (Medical, Dental, Vision)., • Life insurance., • 401(k) matching., • Paid time off (PTO) and sick days. Job Details Role Overview: We are seeking a highly skilled Agentic AI Engineer with: A passion for staying at the forefront of emerging technologies, with an ability to quickly grasp complex scientific literature and thoughtfully implement innovative techniques in real-world applications. Deep enthusiasm for agentic AI and demonstrated expertise in applying it creatively and effectively across diverse domains. Extensive technical breadth spanning frontend and backend development, large language models (LLMs), machine learning, retrieval-augmented generation (RAG), and agentic AI solutions. Proven experience designing, developing, integrating, deploying, and maintaining sophisticated AI-driven systems at scale. What You’ll Do: In the coming months, you’ll help us leverage transformative AI technologies to revolutionize client service, enhance vendor relationships, streamline interactions with the legal system, and optimize our daily business operations. By embracing AI-driven innovation, we aim to set a new standard for efficiency, responsiveness, and excellence in the legal industry. Required Qualifications: Agentic AI Construction: Building agentic AI multi-node decision models that include things like, retrieval augmented generation (RAG), semantic search, data scraping/extraction, converting unstructured data to structured, state graphs/agentic memory, calling APIs Agentic AI Guidance: Adding guardrails, human in the loop, multi-agent work flows, reflection, citing sources, response verification, and other methodologies to increase the accuracy of agentic responses and prevent hallucinations Technology Stack: Experience building with LangChain/LangGraph/LangSmith, AWS Lambda/S3/Gateway/ECR, OpenAI’s API, OpenAI’s Swarm/Agents_SDK, vector databases, fine-tuning, SageWorks, BedRock, Docker AI Centered Coding Workflow: Experience conducting research, systems architecting, analyzing code, troubleshooting, and writing code with LLMs, Cursor AI, Copilot, etc. Ability to Present Proof of Concepts Well: Enough frontend, backend, devops experience to craft proof of concepts for agentic AI solutions Nice to Have Strong knowledge of full-stack development for AI-driven applications. Familiarity with Docker, Kubernetes, and DevOps methodologies. Background in AI research and experimentation. Skills & Mindset: Strong problem-solving abilities and analytical thinking. Entrepreneurial and adaptable mindset in a fast-paced environment. Excellent communication skills to convey AI-driven insights to non-technical stakeholders. Ability to work independently and collaboratively in an agile team. Join us in revolutionizing the legal industry through AI-driven innovation. Apply now to be part of our cutting-edge team! Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Master’s degree in Machine Learning, Deep Learning, or a computer science-related field. Applying machine learning algorithms to solve a wide range of optimization problems like customer sales prediction, recommendation engine, sentiment analysis, deep learning with image and natural language, cus

Design, train, and optimize machine learning models for healthcare applications, including natural language processing, patient risk scoring, and workflow automation. Machine Learning Engineer, Applied ML Scientist, or related role.

Masters degree in Machine Learning, Deep Learning, or a computer science-related field. Applying machine learning algorithms to solve a wide range of optimization problems like customer sales prediction, recommendation engine, sentiment analysis, deep learning with image and natural language, custom

Design, train, and optimize machine learning models for healthcare applications, including natural language processing, patient risk scoring, and workflow automation. Machine Learning Engineer, Applied ML Scientist, or related role.

Applying machine learning algorithms to solve a wide range of optimization problems like customer sales prediction, recommendation engine, sentiment analysis, deep learning with image and natural language, customer segmentations/clustering, and object detection. Master’s degree in Machine Learning

We are transforming traditional tasks such as manual document review and risk assessment into an automated, scalable system powered by state-of-the-art machine learning. Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale. For select roles, Coinbase is pilotin

Master's degree in Machine Learning, Deep Learning, or a computer science-related field. Applying machine learning algorithms to solve a wide range of optimization problems like customer sales prediction, recommendation engine, sentiment analysis, deep learning with image and natural language, custo

Design, train, and optimize machine learning models for healthcare applications, including natural language processing, patient risk scoring, and workflow automation. Machine Learning Engineer, Applied ML Scientist, or related role.

Utilization of popular open-source machine learning/deep learning libraries like LangChain, HuggingFace, Tensorflow, scikit-learn, pandas, pyTorch, and Keras. Master’s degree in Machine Learning, Deep Learning, or a computer science-related field. Applying machine learning algorithms to solve a wi

Masters degree in Machine Learning, Deep Learning, or a computer science-related field. Applying machine learning algorithms to solve a wide range of optimization problems like customer sales prediction, recommendation engine, sentiment analysis, deep learning with image and natural language, custom