Job Summary:
We are looking for a talented and experienced Machine Learning Platform Engineer to join our team. The ideal candidate will be responsible for designing, implementing, and maintaining scalable infrastructure and tools to support our machine learning initiatives. You will collaborate with data scientists, software engineers, and other stakeholders to deploy and manage machine learning models in production environments, ensuring reliability, scalability, and performance.

Responsibilities:

Design, develop, and maintain scalable machine learning infrastructure and platforms to support model training, deployment, and monitoring.
Collaborate with data scientists and software engineers to implement machine learning workflows and pipelines, including data preprocessing, feature engineering, model training, and evaluation.
Build and deploy containerized machine learning applications using frameworks such as Docker and Kubernetes, and manage orchestration and scaling in cloud environments.
Develop and maintain CI/CD pipelines for automating the deployment and testing of machine learning models and applications.
Implement monitoring and logging solutions to track model performance, data quality, and system health, and proactively identify and address issues.
Ensure security and compliance requirements are met in machine learning systems, including data privacy, access control, and regulatory standards.
Collaborate with DevOps and IT teams to integrate machine learning infrastructure with existing systems and services, and optimize resource utilization and cost efficiency.
Stay abreast of emerging technologies and best practices in machine learning, distributed systems, and cloud computing, and evaluate their potential impact on our platform.
Provide technical guidance and mentorship to junior engineers, and contribute to knowledge sharing and collaboration within the team.
Participate in code reviews, design discussions, and cross-functional projects to drive innovation and continuous improvement.
Requirements:

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
2+ years of experience in software engineering, with a focus on building scalable, distributed systems and infrastructure.
Strong programming skills in languages such as Python, Java, or Go, and experience with software development frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, Apache Spark).
Proficiency in cloud computing platforms such as AWS, Azure, or Google Cloud, and experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
Solid understanding of machine learning concepts and techniques, and experience deploying and managing machine learning models in production environments.
Familiarity with DevOps practices and tools (e.g., Git, Jenkins, Terraform) for automation, configuration management, and infrastructure as code.
Excellent problem-solving skills and attention to detail, with the ability to troubleshoot complex issues and optimize system performance.
Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
Experience with big data technologies (e.g., Spark) and streaming data processing frameworks (e.g., Kafka) is a plus.
Certifications in cloud computing (e.g., AWS Certified Solutions Architect, Google Cloud Professional Data Engineer) and machine learning (e.g., TensorFlow Developer Certificate) are desirable.

Responsibilities:

Lead the design, development, and implementation of new techniques in unsupervised learning, dataset augmentation and
deep reinforcement learning that can be applied to automating various parts of the AI development workflow
Mentor and coach junior data scientists, providing guidance on best practices, methodologies, and technical skills.
Partner with stakeholders to define project objectives, develop analytical frameworks, and deliver actionable insights.
Conduct in-depth exploratory data analysis and feature engineering to uncover hidden patterns and trends in complex datasets.
Design and deploy predictive models and algorithms at scale, ensuring accuracy, reliability, and interpretability.
Evaluate the performance of machine learning models and algorithms, and iterate on improvements to optimize results.
Stay abreast of emerging trends and advancements in data science, and assess their potential impact on our business strategy.
Collaborate with data engineers and IT professionals to develop data pipelines, infrastructure, and tools to support analytics initiatives.
Communicate complex technical concepts and analytical findings to non-technical stakeholders through clear and compelling presentations.
Drive the adoption of data-driven decision-making processes and foster a culture of innovation and continuous improvement.

Requirements:

Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field.
5+ years of experience in data analysis, statistical modeling, and machine learning, with a proven track record of delivering impactful results.
Expertise in programming languages such as Python, R, or Scala, and proficiency in data manipulation and visualization libraries (e.g., pandas, matplotlib, ggplot2).
Deep understanding of advanced statistical techniques, machine learning algorithms, and optimization methods.
Strong leadership and mentoring skills, with the ability to inspire and guide a team of data scientists.
Excellent communication, collaboration, and stakeholder management skills.
Demonstrated ability to drive innovation and influence strategic decision-making through data-driven insights.
Strong problem-solving skills and a passion for tackling complex analytical challenges.

Preferred Qualifications:

Research/Experience in One of the following areas:

Auto ML
Neural Architecture Search
Personalization
Forecasting

Job Description:

We are seeking a motivated Sales Development Representative (SDR) with a passion for technology to join our sales team. The ideal candidate will be a self-starter with excellent communication skills and a desire to drive growth through outbound prospecting and lead generation efforts. As an SDR, you will play a critical role in identifying and qualifying potential customers for our technology solutions.

Responsibilities:

• Conduct outbound prospecting activities to identify and qualify leads through cold calling, email outreach, social media engagement, and other channels.
• Research and understand target markets, industries, and buyer personas to tailor outreach efforts and messaging.
• Qualify leads based on predefined criteria and engage in meaningful conversations to uncover customer needs and pain points.
• Collaborate closely with Account Executives to transition qualified leads and schedule product demonstrations or sales meetings.
• Maintain accurate records of all prospecting activities and lead interactions in CRM software (e.g., Salesforce).
• Continuously learn about our products, services, and industry trends to effectively communicate value propositions to prospects.
• Meet or exceed monthly and quarterly quotas for qualified leads and pipeline contribution.

Requirements:

• Bachelor's degree in Business Administration, Marketing, Information Technology, or a related field.
• 3+ years of experience in sales or business development, preferably at SAAS or AI company
• Strong interpersonal skills and ability to build rapport with prospects over the phone, email, and other communication channels.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts in a clear and concise manner.
• Goal-oriented mindset with a track record of meeting or exceeding targets and deadlines.
• Proficiency in using CRM software (e.g., Salesforce, HubSpot) and sales productivity tools.
• Tech-savvy with a genuine interest in technology products and solutions.
• Self-motivated and resourceful, with a willingness to learn and adapt in a fast-paced environment.

Preferred Qualifications:

• Experience with outbound sales prospecting and lead generation techniques.
• Familiarity with SaaS (Software-as-a-Service) or technology sales cycles.
• Knowledge of IT infrastructure, cloud computing, cybersecurity, or other technology domains.
• Previous experience working in a startup or high-growth environment.
• Certifications or training in sales methodologies (e.g., Sandler Selling System, Challenger Sale).

Senior Product Manager – Financial Operations Technology

OVERVIEW Client seeks product manager to join its Financial Operations Technology team and assist with the development and implementation of systems and processes. This team manages the technology that streamlines finance and operations functions, primarily focused on Fund Accounting. The role offers the opportunity to be part of an inclusive, dynamic, and engaging working environment.

WHAT YOU'LL DO DAY-TO-DAY
You’ll work closely with business users, software developers, and quality engineers to conceptualize and develop solutions that improve our accounting and investor reporting processes and financial reporting systems. You’ll be responsible for understanding business needs, specifying technical requirements, prioritizing product roadmaps, and supporting existing applications. You’ll have ample opportunities to partner closely with global leaders on our information technology and Finance and Operations teams.

WHO WE'RE LOOKING FOR

• A bachelor’s degree or higher and at least seven years of relevant work experience is required. Experience with fund accounting is a significant plus.
• A willingness to take initiative and dive into details, plus the ability to manage projects to completion, is critical for this role.
• Excellent written and verbal communication skills, an aptitude for translating the needs of non-technical systems users into technical requirements, and the judgment to exercise a high level of discretion with confidential information are also essential.
• Applicants with a knack for solving open-ended problems and seeing how small details interrelate to impact the bigger picture (i.e., systems thinking) will excel in this role.
• The expected annual base salary for this position is $175,000 to $225,000.

Our compensation and benefits package includes variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, and benefits including medical and prescription drug coverage, 401k contribution matching, wellness reimbursement, family building benefits, and a charitable gift match program.

Responsible for implementing various algorithms to do automated feature extraction and dataset augmentation, optimizing runtimes of neural network algorithms and building higher-level abstractions for various common AI/ML techniques. As an ML engineer, they will also work cross functionally amongst other engineers, on common ML operation tasks such as ML data management and training and model deployment, as well as build systems that are scalable.

Candidates will need to have a BS in computer science from an accredited university OR have 5 years of professional work experience. In addition, we are looking for software engineers who have the following:

• 5 years of professional software engineering experience. Some experience with Python is required.
• Have at least 1 year of professional work experience in one of the following: data infrastructure, ML/AI models in production, neural network algorithms, performance optimization of deep learning systems.

- Required Qualifications:

• Active TS/SCI
• Current/Former TS/SCI with FS Poly
• Previous experience in software development, computer engineering, or other related fields.
• Willingness to develop in and use C#, javascript, html, AngularJS

- Desired Qualifications:

• Knowledge of C#, Java, C++ or other programming languages
• Knowledge of javascript, html, css, AngularJS and/or related scripting frameworks
• Familiarity with relational databases such as MySQL, Oracle, and SQL Server
• Familiarity with Microsoft Visual Studio
• Deadline and detail-oriented

- Responsibilities:

• Analyze user needs and develop software solutions
• Work with project manager or product owner to meet specification needs
• Recommend software upgrades to optimize operational efficiency
• Collaborate with other developers to design and optimize code
• Document programming tasks and procedures
• Troubleshoot and fix software bugs and perform routine software maintenance

Quantitative traders research, develop, and refine new cryptocurrency trading strategies and monitor existing positions across protocols and exchanges. The role will straddle analyzing new opportunities, formulating and testing methods for capitalizing upon them, and developing algorithmic execution to put them into operation. The ideal candidate would bring a deep understanding of cryptocurrency markets, have multiple years’ experience trading at an institutional desk, and arrive with one or more tested strategies that could be integrated with the firm’s algorithmic execution for rapid deployment. However, to the extent that strategies remain in the late development or testing stages, such candidates with sufficient market experience should certainly apply as well.The following skills and experience will be required for all applicants:

• Extremely strong quantitative and analytical background
• Relevant experience in statistical modeling
• 3+ years’ industry experience developing and evaluating trading strategies in liquid markets
• Proficiency in Python
• Experience investing or trading in cryptocurrency markets
• Deep understanding of derivative instruments
• Understanding of market-making spot and futures on centralized order books

The following skills would be very helpful, and would help a candidate grow the role going forward:

• Proficiency in C++
• Experience trading on DeFi platforms
• Experience market-making options

About the job

The company is a highly successful company in Davis, CA where our team of software developers are writing cutting edge web delivered solutions for the healthcare industry.

Responsibilities include:

• Collaborate with your peers designing, developing, and deploying new software features on a modern web application
• Plan priorities and meet deadlines for releases
• Work with our customers to troubleshoot issues and brainstorm new feature ideas
• Abide by OWASP and HIPPA standards
• Take initiative and ownership in work that needs to be done
• If you want to work for a profitable, growing company with a team atmosphere, Cedaron might be a place for you.

Minimum Qualifications:

• Bachelor's degree in Computer Science or related field
• Experience with front-end development in the following technologies: HTML, CSS, JavaScript
• Experience in languages C like languages like C++, Java, and C# (preferred)
• Good understanding of object-oriented design, version control (Git), HTTP, REST, Windows Services, and Transact SQL
• Soft Skills:
• Ability to take feedback well
• Ability to communicate ideas with peers and customers
• Ability to ask for help and questions when designing ideas

Preferred Qualifications:

• Experience with the following front-end technologies: Typescript, LESS, React, Knockout
• Experience with HIPPA (Health Insurance Portability and Accountability Act) standards as well as OWASP (Open Web Application Security Project)
• Experience with cloud services like Azure

Job Type: Full-time

Benefits:

• 401(k) matching
• Dental insurance
• Health insurance
• Paid time off

Schedule:

8 hour shift in Davis, CA

How will you make an impact?  

• Provisioning, deploying, monitoring, patching and upgrading enterprise cloud software. Working closely with the development team to ensure the successful deployment of software packages. 
• Support of production systems and replication of customer issues on test systems to diagnose and repair without jeopardizing customer data or operations. 
• Defining and implementing regular maintenance and health monitoring procedures. 
• Work effectively with staff in all areas of the business, escalating when appropriate to management and/or R&D. Take into account technical and commercial relationships with end-users, partners and service providers. 
• Gradually take over the responsibility of SecOps Team Lead 
• Participate in a 24-7 Out of Hours call out rotation. 
• Cost Management of solution and services. 

Have you got what it takes?

• Experience in supporting web based software provided as a service 
• Experience with scripting in Linqpad, Powershell  or similar 
• Experience administering databases (Microsoft SQL) and basic querying 
• Knowledge of Windows server and client technology 
• Knowledge of network principles (IP addressing, firewall rules, network security groups etc) 
• Efficient, effective and respectful communication skills both with customers and within internal departments. Including; 
• Excellent written and spoken English 
• Good listener, able to identify and validate assumptions 
• Able to use effective questioning to confirm understanding of a customer problem and then provide help to solve it 
• Methodical troubleshooting, technical skill and attention to detail used in diagnosing problems and reproducing issues in a local environment 
• Multi-tasking and time-management to prioritize and switch between varied tasks 
• Focused and calm under pressure 
• Careful record keeping 
• Able to use initiative and to work effectively both independently and as part of a team 
• Be able to obtain security clearances (CJIS)  

You will have an advantage if you also have:

• Experience of Programming (e.g. C#) 
• Scripting experience in Linqpad, Powershell or similar 
• Experience with Azure (AZ900 and AZ104 certifications)
• Experience with Postman or Fiddler 
• Understanding of .Net applications 
• Knowledge of Linux Operating System 
• Experience with ServiceNow (SNOW) ticketing system.
• Knowledge share with ability to document learned skills.