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Job Title: Contract Controls Engineer Location: Summit, NJ Type: Contract (3-6 months) CONTRACT CONTROLS ENGINEER RESPONSIBILITIES Design, programming, testing, implementation, and troubleshooting of Python based control systems, while adhering to company standards.

Job Description Join our Data Science team as an Actuarial Data Scientist where you'll architect end-to-end data applications. This role resides on the Data Science team, and you will collaborate closely with the Actuarial team. This person will build data products for actuarial users, and also build actuarial modeling into data products for underwriting, claims, and other users. Additionally, this person will work closely with actuaries, empowering them with tools to streamline and improve their current processes, as well as building new ones. This role bridges sophisticated Python-powered Databricks data processing with engaging Python-driven Streamlit visualizations, offering a unique opportunity to revolutionize how insurance metrics become actionable intelligence. Minimum Qualifications: • Demonstrated knowledge of insurance business fundamentals and their implementation in data systems., • Proficiency in Python programming with experience applying these skills to data processing, analysis, and visualization (ie. Pandas, Plotly)., • Proven ability to maintain high standards of precision in both front-end applications and back-end data pipelines, with excellent troubleshooting and debugging skills., • Demonstrate exceptional ability to distill complex technical concepts into powerful, action-oriented executive summaries that drive decisive business action, with proven experience communicating data insights to both technical and non-technical decision-makers., • Actuarial exam progress (especially CAS Exam 5) preferred., • Hands-on ML experience in an insurance context preferred., • Understand current state actuarial processes throughout the company performed today in SQL and Excel. Build data applications to automate current processes. Innovate to build new and better solutions, unifying best practices in actuarial science, modern data science, and technology., • We have many analyses that use actuarial assumptions. Validate these assumptions and ensure general actuarial soundness throughout our pipelines and analyses., • Build and enhance Python data pipelines to clean and validate data, and to transform the data through actuarial modeling. Implement robust data validation protocols to ensure integrity of the data and accuracy of the calculations and models., • Design and maintain intuitive user-facing dashboards that transform complex data into accessible visualizations, connecting back-end data to interactive front-end reporting tools for stakeholders., • Drive end-to-end system reliability and last-mile validation through rigorous testing methodologies and efficient bug resolution, applying meticulous attention to detail across both Streamlit interfaces and data pipelines while spending significant time troubleshooting complex issues to ensure seamless operation of all analytics tools., • Collaborate directly with stakeholders to understand needs, build requirements, gather feedback iteratively, and present findings. Additional Information: Full benefit package including medical, dental, life, vision, company paid short/long term disability, 401(k), tuition assistance and more. #LI-Onsite

Job Description Position: AWS Lead Location: NJ office (Day-1 onsite) - Iselin, NJ 08830 Job Type: 6+ month contract Job Description: • 15+ years of experience required., • AWS services like API development (API Gateway, Lambda), designing workflows (Step Functions mostly), event-based communication using SQS/SNS, S3 file download/upload, Secret management using AWS Secrets/SSM, debugging/monitoring using CloudWatch, etc. Effective experience in a technical leadership role: • Overseeing projects, • Experience in people management, supervision/team leadership role, • Experience in Stakeholder management, • You collaborate with key stakeholders to determine future direction of work, • Set and communicate team priorities that support the broader organization's goals, • Align strategy, processes, and decision-making across teams, • Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals, • Bachelor's degree or equivalent practical experience with a good academic background, • Should be able to explore newer technical areas along with the team, • Proven experience handling tickets for Dev/Production environments, • Experience in Platform Engineering to optimize environments for cost and efficiency, • Independently think through use cases and infer details on the requirements

Job DescriptionSalary: 100k-150k Annual Location:In-office (must be able to work full-time from our HQ; relocation assistance may be available) Compensation:$100,000$150,000 DOE + benefits About Us We are an MVNA (Mobile Virtual Network Aggregator)focused on powering IoT connectivity solutions across industries. Our mission is to deliver secure, scalable, and reliable IoT connectivity through advanced network integrations, cloud infrastructure, and carrier-grade partnerships. Role Overview Were hiring a hands-on Senior Network Engineerwho will own end-to-end design, deployment, and operations of MVNA/MVNO core network components. This is both a network engineering and solution architecture role, ensuring our IoT customers receive high-performance, secure, and resilient connectivity. You will work with cloud networking, MVNO/MVNA architecture, and critical interconnects, while also collaborating with carriers, enterprise customers, and technology partners. This role requires in-office presencefor close collaboration on network operations and partner integrations. Responsibilities • Architect, deploy, and manage MVNA/MVNO core network infrastructure and interconnections., • Build and manage secure VPN tunnelsfor enterprise and carrier connectivity., • Configure and operatenetworking(Transit Gateway, VPCs, Direct Connect, route tables, IAM)., • Integrate with carrier partners, ensuring reliable SLA delivery and traffic routing., • Design and manage BGP and other routing protocolsacross cloud and colocation networks., • Implement Equinix Fabricor equivalent interconnection platforms., • Lead customer solution architecture translating IoT customer requirements into scalable network designs., • Establish monitoring, observability, and automation frameworks for network health and security., • Collaborate with vendors, carriers, and enterprise customers on technical requirements and escalations., • Strong core network engineeringexperience (TCP/IP, routing, BGP, NAT, QoS)., • Proven hands-on experience withcloud networking(mandatory)., • Deep knowledge of MVNO/MVNA network architectureand operations., • Ability to independently design and manage telecom-grade network systems., • 5+ years of experience in telecom/MVNO/MNO network engineering., • Strong communication and documentation skills., • Experience with mobile core elements., • VPN tunnel setup and management (IPSec, GRE, etc.)., • Routing policy management and traffic engineering., • Equinix Fabricor interconnection fabric experience., • Understanding of IoT-specific networking needs (LTE-M, NB-IoT, device behavior)., • Automation skills (Python, Terraform, CloudFormation)., • Experience with Google Cloud Platformas an alternative to AWS., • Familiarity with SIM lifecycle management, eSIM/eUICC provisioning., • Telecom or cloud certifications (AWS Advanced Networking, CCNP/CCIE, JNCIE)., • Salary: $100,000 $150,000depending on experience., • Competitive benefits package including health, dental, vision, PTO, and more.

Job Description Position: Senior Data Analytics Manager Direct Recruit Agency is looking for a highly skilled and motivated Senior Data Analytics Manager to join our team. Position Overview: We are seeking a seasoned analytics leader with a proven track record in guiding data and business analytics strategies and managing high-performing analytics teams. As the Senior Manager, Data Analytics within the Banking team, you will play a pivotal role in driving business growth and profitability across the entire product lifecycle and within the broader business P&L. You will be a key member of the Banking leadership team, leveraging data to inform strategic decisions, optimize operations, and identify new revenue opportunities. You will also be responsible for developing the competencies and talent strategies of your team to ensure their ongoing success and the overall success of the Banking department. RESPONSIBILITIES • Lead and mentor a team of data analysts, fostering a culture of analytical excellence., • Devise and implement analytics strategies to enhance banking performance, revenue, and customer growth., • Create and manage data pipelines, dashboards, and reports to track key performance indicators (KPIs) for the Banking team and ensure efficient dissemination of the KPIs., • Deliver timely insights, identify key business performance drivers, and uncover untapped growth opportunities., • Enable the development and implementation of new customer treatment models, incentives, and pricing strategies to optimize P&L growth., • Conduct in-depth analyses using internal and third-party data to identify trends, Client opportunities, and elevate customer experience., • Partner with stakeholders across Leadership, Product, Credit Risk and Engineering teams to define success metrics, analyze trends, and provide actionable recommendations, • Partner with cross-functional teams, including Product, Engineering, Risk, and Customer Success, to conceptualize and launch new products and features., • Design and Implement Experiments, customer segmentation, and personalization strategies and help establish frameworks and improve key processes., • Review analytics initiatives on the banking and cross-functional teams and provide actionable feedback and recommendations., • Deliver actionable insights to senior leadership on banking performance and key initiatives., • Collaborate with Finance on business case analysis, revenue forecasting, and customer growth projections., • Uphold data integrity, accuracy, and governance across the banking analytics ecosystem., • 10+ years of experience in data analytics, preferably in fintech, banking, or customer-centric industries., • 3+ years of experience managing and leading analytics teams and strategies., • Strong proficiency in SQL and Python for data analysis and automation., • Strong hands-on experience in managing multiple analytical workstreams., • Proficient in designing, analyzing, and interpreting experiments., • Well-versed in customer segmentation and deep-dive behavioral analytics., • Proven ability to uncover revenue and growth opportunities through data insights., • Track record of improving customer conversion and retention through data-driven product strategies., • Experience in rolling out new products/features and tracking their impact., • Skilled in developing compelling dashboards and reports to communicate insights effectively., • Strong cross-functional collaboration with Product, Marketing, Finance, and Engineering teams., • Advanced analytics capabilities, including statistical inference, significance testing, and forecasting methods., • Experience in fintech or financial services., • Background in B2C products and analytics., • Familiarity with credit, loans, or liquidity products., • Experience in building classification and regression machine learning models., • Strong knowledge of marketing data analytics, attribution, and performance measurement., • Competitive salary, • Meaningful equity in the form of stock options, • 401(k) plan, • Discretionary performance bonus program, • Biannual performance reviews, • Medical, Dental and Vision premiums covered at 100% for you and your dependents, • Flexible time off and paid holidays, • Generous parental leave policy, • Commuter benefits, • Fitness benefits, • Healthcare and Dependent care FSA benefit, • Employee Assistance Programs focused on mental health, • Healthcare advocacy program for all employees, • Access to mental health apps, • Team building activities, • Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches If you are a highly motivated and experienced data analytics professional looking for a new challenge, we would love to hear from you. Apply now and join our dynamic team at Direct Recruit Agency!

Job Description Position Title: Data Engineer/Developer Reports to: VP, Technology Department: Development and Technology Location: Simplicity Summit Office; 86 Summit Ave, Summit, NJ 07901; In-office Classification: Full-time; Exempt Summary / Job Objective: As a data engineer/developer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that are used for collecting, storing, processing, and analyzing large volumes of data. Essential Job Functions: Your role involves collaborating with business stakeholders, outside partners, other software developers, analysts, and other stakeholders to ensure data availability, reliability, and quality for decision-making and operational purposes. Primary Responsibilities: · Data Processing and Transformation: Implement data processing and transformation using state-of-the-art tools and processes. Build on top of existing capabilities and develop both custom features (e.g., Laravel/PHP, Python, or other frameworks) or enterprise software (e.g., Informatica, Mulesoft, or other tools). · Data Pipeline Development: Design, develop, and maintain robust, scalable data pipelines for ingesting, transforming, and loading structured and unstructured data from various sources into data storage systems. · Data Infrastructure: Manage and optimize data storage solutions, including databases, operational data stores, and data warehouses, to ensure high performance, reliability, and security. · Data Quality and Governance: Implement data quality checks, monitoring, and governance processes to ensure data accuracy, consistency, and compliance with regulatory requirements. · Performance Tuning: Identify and address performance bottlenecks in data pipelines and infrastructure through optimization, tuning, and capacity planning. · Collaboration: Work closely with data scientists, analysts, software engineers, and business stakeholders to understand data requirements, develop data solutions, and support analytical use cases. · Documentation: Document data pipelines, infrastructure configurations, and best practices for data engineering standards, ensuring knowledge sharing and team collaboration. Qualifications: · Hands-on experience with building data-focused processes in languages such as Laravel/PHP, Python, or other languages. · Knowledge and experience working in cloud platforms like AWS and/or Azure. · Experience working with complex data objects in various formats like JSON, XML and across different DB designs like MySQL, MS SQL, and Salesforce DB’s. · Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field. · Proven experience in data engineering, ETL (Extract, Transform, Load) processes, and data pipeline development. Additional Qualifications (Preferred): · Knowledge of or experience with Salesforce data models, API’s and high-level architecture. Experience with other CRM tools and their data is also a plus. · Experience with Business Intelligence tools such as Domo, Microsoft PowerBI, or other BI tools. · Agile development experience working with tools such as Atlassian Jira, Confluence, and Bitbucket. · Experience with financial services products such as insurance, wealth management, or related fields is a plus. · Certification or coursework in data engineering or related technologies. Core Competencies: · Excellent problem-solving skills, analytical thinking, and attention to detail. · Effective communication and teamwork abilities to collaborate across multidisciplinary teams. · Proven success working in both a team environment as well as independently. Compensation & Benefits: Compensation (based on experience) ● Base salary: $110,000 - $130,000 ● This is an exempt position ● Annual performance bonus target: 10% Benefits ● Employee benefits (medical, dental, vision, life insurance, other) ● 401k with employer match ● Paid Time Off ● Paid parking Location: Simplicity Summit Office; 86 Summit Ave, Summit, NJ 07901 *This role is an in-office position Company DescriptionHeadquartered in Summit, New Jersey, Simplicity Financial Marketing Group Holdings (“Simplicity Group”) is a financial holding company in the independent financial services sector that specializes in the distribution of retirement and financial planning solutions. Simplicity Group and its wholly-owned Broker-Dealer, partners with insurance and investment professionals to help provide consumers with guaranteed income and life insurance products, wealth accumulation strategies, disability, and long-term care protection in support of a holistic financial strategy. Through its vast distribution network of insurance, wealth, and institutional channels, Simplicity Group has assisted with the placement of more than $10 billion of insurance assets and has $10 billion of assets under management and advisement as of Q4 2024. Simplicity Group is a fast-growing business, focused on organic growth initiatives to help its distribution partners expand their businesses. Simplicity Group has over 1,100 employees and 70 operating subsidiaries. Simplicity Group is owned by two of the leading San Francisco-based financial and tech-enabled services private equity firms and by its operating Partners, who help drive the company’s day-to-day business. For more information, please visit simplicitygroup.com.Headquartered in Summit, New Jersey, Simplicity Financial Marketing Group Holdings (“Simplicity Group”) is a financial holding company in the independent financial services sector that specializes in the distribution of retirement and financial planning solutions. Simplicity Group and its wholly-owned Broker-Dealer, partners with insurance and investment professionals to help provide consumers with guaranteed income and life insurance products, wealth accumulation strategies, disability, and long-term care protection in support of a holistic financial strategy.\r\n\r\nThrough its vast distribution network of insurance, wealth, and institutional channels, Simplicity Group has assisted with the placement of more than $10 billion of insurance assets and has $10 billion of assets under management and advisement as of Q4 2024. Simplicity Group is a fast-growing business, focused on organic growth initiatives to help its distribution partners expand their businesses. Simplicity Group has over 1,100 employees and 70 operating subsidiaries. Simplicity Group is owned by two of the leading San Francisco-based financial and tech-enabled services private equity firms and by its operating Partners, who help drive the company’s day-to-day business.\r\n\r\nFor more information, please visit simplicitygroup.com.

Job Description Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation. 1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance. We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments. This role blends R&D with production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization. Key Responsibilities • Design and implement AI models for image classification, object detection, OCR, and feature extraction., • Develop real-time image quality assessment and capture guidance algorithms., • Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets., • Implement model optimization techniques for mobile (on-device) and cloud inference., • Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data., • Integrate ML models into production-grade APIs and mobile SDKs., • Monitor, evaluate, and continuously improve model accuracy and performance., • Collaborate with product and engineering teams to align AI capabilities with business goals. Requirements • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent experience)., • 3+ years of experience building and deploying ML models in production., • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)., • Experience with computer vision libraries (e.g., OpenCV) and OCR technologies., • Strong understanding of deep learning architectures for image and text recognition., • Familiarity with cloud platforms (AWS, GCP, or Azure) and API development., • Strong problem-solving skills and ability to work in fast-paced environments., • Based in the NJ / NY area; Hybrid working model.Preferred Qualifications, • Experience with model quantization and optimization for mobile deployment., • Knowledge of synthetic data generation and data augmentation techniques., • Background in security, liveness detection, or anomaly detection., • Exposure to compliance and data privacy regulations (GDPR, CCPA)., • Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems., • Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC., • Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada., • Flexibility First: Unlimited PTO, and 2 days WFH

Job Description Role: Full Stack Java Developer Location: Woodbridge Township New JerseyLook for Nearby candidates Only one round- F2F Required W2 Candidates(USC,GC,GC EAD,H4 EAD) - with minimum validity of 12 months Skills: Full Stack: same java developer , docker, open shift, Jenkins, Angular 5+ years of experience -as a full stack developer with hands-on experience working on all aspects: Front-end, user experience, APIs, Backend, CI/CD, DevSecops and NoSQL/SQL development and data modeling -Java 8+, Spring Framework, Sprint Boot and Microservices -Docker, Kubernetes, OpenShift containers -front-end technologies - Angular 7/8, React, Bootstrap, JavaScript, HTML/CSS -MS SQL, MYSQL, MongoDB, data modelling & deployment using tools like Liquibase -Eclipse/IntelliJ IDE -CI/CD tools like Jenkins, Harness/Maven/Gradle, UCD, GitHub -DevSecOps tools like SonarQube, GitLab, Checkmarx, Black Duck -Logging, Monitoring tools ELK Stack, Splunk, AppDynamics 3+ years of experience -with Cloud Providers like OpenShift (OCP), GCP, Azure -with API integration using Apigee, Rest API, Kafka -with tests frameworks using Jasmine, Karma, Selenium, Junit, JMeter, Rest Assured, Postman 3+ Proficiency in scripting languages such as Python, Bash, Shell 3+ years of experience working in Agile environment using Scrum/Kanban 3+ years of experience working in Jira, Confluence

Job DescriptionWe are looking for a skilled Financial Data Analyst to join our team on a contract basis in Woodbridge, New Jersey. In this role, you will apply your expertise in actuarial modeling, financial analysis, and data management to support critical decision-making processes in the financial services industry. This position provides an excellent opportunity to work collaboratively with actuaries and financial teams, leveraging advanced tools and techniques to drive insights and optimize operations. Responsibilities: • Design and maintain actuarial models and data-driven workflows using Python and R to support insurance pricing, reserving, and risk management initiatives., • Streamline month-end processes and rate change calculations, ensuring accuracy, consistency, and completeness in all data outputs., • Collaborate with Actuarial and FP& A teams to automate processes and enhance model efficiency through Python-based scripting., • Conduct reserving analysis to estimate claim liabilities in partnership with internal and external actuaries., • Create and update loss development triangles and incurred but not reported (IBNR) calculations using operational and financial data., • Assist in developing and validating actuarial assumptions for pricing, reserving, and forecasting purposes., • Perform stress testing and scenario analysis to evaluate financial impacts and risk exposure., • Develop predictive analytics models and profitability analyses to support business planning and forecasting., • Extract and transform large datasets using SQL and Python libraries, identifying trends and optimization opportunities., • Automate data processing and reporting workflows through the development of advanced Python scripts.• Proficiency in Python and R for actuarial modeling and data analysis., • Strong background in SQL for writing complex queries and transforming datasets., • Experience in actuarial analysis, including reserving and pricing methodologies., • Familiarity with casualty insurance concepts and financial modeling techniques., • Ability to develop and maintain financial and predictive models., • Expertise in data mining techniques and the use of libraries like Pandas and NumPy., • Strong analytical skills with attention to accuracy and detail., • Excellent communication and collaboration skills to work effectively within cross-functional teams.

Job Description Position: Lead Data Scientist Company Overview: Direct Recruit Agency is a leading recruitment agency that specializes in placing top talent in various industries. Our mission is to connect exceptional candidates with the best companies, providing them with the opportunity to grow and thrive in their careers. Job Summary: We are seeking a highly skilled and experienced Lead Data Scientist to join our team. As the Lead Data Scientist, you will be responsible for leveraging VertexAI to lead the design, development, deployment, and governance of machine learning models that power and optimize our risk underwriting to achieve business objectives. You will work closely with our clients to understand their business needs and develop data-driven strategies to help them achieve their goals. Key Responsibilities: • Design, develop, and deploy models that are used for risk underwriting, risk management, limit setting, pricing, and customer acquisition and engagement optimization., • Analyze diverse datasets, including but not limited to credit bureau, customer behavior, and alternative data, to extract meaningful insights and patterns, identifying actionable opportunities for optimization and innovation., • Lead and mentor a team of data scientists and analysts, providing guidance and support., • Conduct exploratory data analysis, feature engineering, and model selection to optimize performance and enhance predictive accuracy., • Implement and maintain scalable machine learning pipelines and workflows on Google Cloud Platform, ensuring reliability, scalability, and efficiency., • Leverage Google Dataflow to process large-scale data and build scalable data processing pipelines., • Evaluate model performance and govern deployed models using appropriate metrics, techniques, and scalable automated methods., • Maintain model documentation and perform ongoing refits/retraining of existing models to ensure models are always at or near optimal performance and risks of degradation are avoided or managed., • Design experiments, measure, test, and conduct readouts to optimize and test the underwriting process, offers, and customer engagement., • Collaborate with engineering teams to integrate machine learning models into production systems, monitor performance, and troubleshoot issues., • Contribute to developing best practices, standards, and documentation for machine learning processes and methodologies., • 7+ years of experience in data science or machine learning roles, with expertise in developing and deploying machine learning models, preferably with a background in consumer credit risk and the lending space., • 2+ years of experience leading and managing data scientists and/or data analysts., • Degree in Computer Science, Statistics, Mathematics, or a related field., • Proficiency in Python programming and machine learning libraries (e.g., TensorFlow, scikit-learn) for model development and deployment., • Proficiency in data preprocessing, feature engineering, and model selection techniques to optimize performance., • Familiarity with Google Cloud Platform services, particularly VertexAI and Dataflow, for scalable data processing and model training., • Proficiency in SQL and at least one programming language for developing scalable and efficient machine learning solutions., • Understanding of credit risk models and methodologies., • Strong leadership, communication, and collaboration skills., • Ability to work effectively in a fast-paced, cross-functional environment., • Strong understanding of statistical analysis, hypothesis testing, and experiment design., • Experience using the Scala programming language for developing scalable and efficient machine learning solutions., • 2+ years of experience building and deploying models using Vertex AI., • Competitive salary, • Meaningful equity in the form of stock options, • 401(k) plan, • Discretionary performance bonus program, • Biannual performance reviews, • Medical, Dental and Vision premiums covered at 100% for you and your dependents, • Flexible time off and paid holidays, • Generous parental leave policy, • Commuter benefits, • Fitness benefits, • Healthcare and Dependent care FSA benefit, • Employee Assistance Programs focused on mental health, • Healthcare advocacy program for all employees, • Access to mental health apps, • Team building activities, • Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches If you are a highly motivated and skilled Data Scientist looking to lead a dynamic team and make a significant impact in the banking industry, we want to hear from you! Apply now at Direct Recruit Agency.

Job Description 2bridge has been engaged in the direct hire search for a Senior Full Stack Python Developer to join our Financial Client based near Colonia, NJ. They offer a comprehensive package including base, bonus, 401k, PTO, Medical, dental, and vision. Senior Software Engineer We seek several highly skilled Senior Software Engineers to join a dynamic team. In this role, you will design, develop, and maintain cutting-edge software solutions that drive business growth. Your expertise in full-stack development, cloud infrastructure, API integrations, and automation will be essential in delivering high-performance applications that scale efficiently. Key Responsibilities: Software Development & Deployment: • Design, develop, test, and deploy high-quality applications using Python, React, AWS, and modern scripting languages., • Implement scalable and maintainable software architectures that meet business requirements., • Utilize AWS services, including Lambda, DynamoDB, and cloud storage, to optimize application performance and scalability., • Ensure cost-effective and secure cloud-based application deployments., • Design and maintain RESTful and GraphQL APIs for seamless integration across various platforms., • Ensure APIs adhere to performance, security, and scalability standards., • Leverage TypeScript, JavaScript, and Python to build robust and efficient software solutions., • Design and optimize SQL queries and database architectures to support application needs., • Work closely with cross-functional teams, including product managers, QA engineers, and business stakeholders., • Participate in Agile/Scrum methodologies to drive project success., • Share expertise and mentor junior developers to foster a culture of technical excellence. Qualifications: • Bachelor's degree in Computer Science, Engineering, or a related field., • 6+ years of experience in software development and system architecture., • 6+ Experience building financial applications for wealth or portfolio management disciplines, trading, or financial applications., • Proficiency in React for building modern, responsive web applications., • Hands-on experience with AWS services (Lambda, DynamoDB, Redshift, cloud storage, etc.)., • Strong expertise in API development (REST, GraphQL, WSO2) and backend integration., • Advanced skills in TypeScript, JavaScript, and Python., • Experience in SQL development and optimization., • Knowledge of Agile/Scrum frameworks for managing and delivering projects., • Strong communication and problem-solving skills., • Preferred: Cloud certifications and experience in fintech, wealth management, or enterprise SaaS. Why Join our client? • Work on high-impact projects in a fast-paced, collaborative environment., • Be part of a team that values innovation, security, and scalable solutions., • Opportunities for career growth, professional development, and mentorship.

Job Description Software Engineer 3 Python and Data lead Location: Woodbridge Township New Jersey-Look for Nearby candidates Only one round- F2F Required W2 Candidates (USC,GC,GC EAD,H4 EAD)- with minimum validity of 12 months Skills:Python, bash , various ETL frame, dremio , Kafka Api , Apigee experience actually going work with data lead, implement the data from various system 7+ Proficiency in scripting languages such as Python, Bash, Shell 5+ years of experience working in Agile environment using Scrum/Kanban 5+ years of experience working in Jira, Confluence

Job Description This is a remote position. SR DATA SCIENTIST Duration: 12+ months What problem are we trying to solve: • The Senior Data Scientist will support our organization's data-driven initiatives by providing insights, developing predictive models, and driving data-centric decision-making across various business domains., • This role will act as the primary contact for advanced analytics projects, collaborating with cross-functional teams to extract valuable insights from complex datasets. Tech Stack • Embedded within product development teams. Responsibilities include: • Building and evaluating models., • Refining business-defined measures and metrics., • Supporting dynamic and creative approaches to data science., • Tech environment: AWS, Python preferred (other languages possible), avoiding excessive language spread. Hard Requirements: Technical Skills: Common Technologies/Tools: Programming Languages: Python, R, SQL Data Visualization Tools: Tableau, Power BI, DataDog Version Control Systems: Git, GitHub Project Management Tools: Jira, Confluence Cloud Platforms: AWS, Azure, Google Cloud Platform Data Warehousing: Redshift, BigQuery, Snowflake Soft Skills: • Advanced Statistical Analysis and Modeling, • Proficiency in statistical methods and machine learning algorithms., • Experience with predictive modeling and forecasting. Programming and Scripting: • Strong programming skills in Python or R., • Proficient in SQL for database querying., • Data Visualization and Storytelling, • Ability to create compelling visualizations to communicate insights., • Experience with data visualization tools like Tableau, Power BI, or DataDog., • Problem-Solving and Critical Thinking, • Strong analytical skills to tackle complex business challenges., • Ability to think strategically and provide data-driven recommendations., • Communication and Collaboration, • Excellent verbal and written communication skills., • Ability to work effectively in cross-functional teams., • Knowledge of Software Development Lifecycle ( SDLC ), • Understanding of best practices in software and data pipeline development. Requirements • 60%+ of this gig is building LLMs - and doing so from scratch. Hence the need for DS with, a) this expertise; and, b) have done so in a commercial setting [as opposed to academia when in a Research capacity]., • They need to have built the LLMs, built the pipelines, deployed 'em and managed/monitored 'em., • These LLMs must have had a quantifiable business impact which is demonstrable on the resume and in an interview., • Finally.....as for alGORITHM/MLexpertise, we need to find folks with the following: "... knowledge of statistics and have developed ML models like Random Forst, XGboost, Regression, and other classification and regression forecasting... " In summary....these DS roles are very similar to those of Toyota Connected. Guys who can do it all - interface and gather Clients from stakeholders, build the models, deploy, manage and utilize. They won't get much in the way of technical or business direction - they will be self-sufficient and the ones who drive the insights, "Look what I found.... " bus. They CANNOT be the types who just sit at their desk crunching numbers, publishing reports and onto the next. They need to be on the front foot and pushing the boundaries.

Job Description Data Architect Location: Woodbridge Township New JerseyLook for Local/Nearby candidates Only one round- F2F Required W2 Candidates(USC,GC,GC EAD, H4 EAD)- with minimum validity of 12 months. Job Description: 8+ years of hands-on experience as a Data Architect working on innovative, scalable, data-heavy, on-demand enterprise applications and guiding data analysts & engineers 5+ years 7+ years of back-end and ETL experience in consuming, producing and integration with enterprise data providers in batch or on-demand 5+ years of experience with Data Analytics & Reporting using PowerBI, SAS Viya, Tableau 5+ years of experience with cloud-based data solutions like OpenShift Data Foundation (ODF), OpenShift Data Access (ODA), Big Query, Snowflake, Talend Cloud, Databricks 5+ years of experience with ETL tools like Alteryx, Talend, Xceptor, Apache Camel, Kafka Streams 4+ years of experience with data virtualization using tools like Dremio, BigQuery Omni, Redhat Virtualization 7+ years of experience with Rest API, Apigee, Kafka, JSON to consume and produce data topics 7+ years of experience with data modeling, metadata management, data governance, data lineage and data dictionary 7+ years of experience with MS SQL, MYSQL, PostgreSQL, MongoDB, Teradata, Apache Spark & deployment tools like Liquibase 3+ years of experience with Java 8+, Spring Framework, Spring Boot and Microservices 3+ years of experience with Docker, Kubernetes, OpenShift containers 3+ years of experience with Cloud Providers like OpenShift (OCP), GCP, Azure 3+ years of experience with CI/CD tools like Jenkins, Harness, UCD, GitHub, Maven, Gradle 3+ years of experience with DevSecOps tools like SonarQube, GitLab, Checkmarx, Black Duck 3+ years of experience with Logging, Monitoring tools ELK Stack, Splunk, AppDynamics 5+ years of experience Proficiency in scripting languages such as Python, Bash, Shell 3+ years of experience with tests frameworks using Jasmine, Karma, Selenium, Junit, JMeter, Rest Assured, Postman 3+ years of experience working in Agile environment using Scrum/Kanban 3+ years of experience working in Jira, Confluence.

Job Description Integration Data Engineer MUST be local to Iselin, NJ, Hybrid Schedule at least 3 days onsite Salary Range: $77k to $135k No Sponsorship Available We are seeking an Integration Data engineer with a background in SQL and data warehousing for enterprise level systems. The ideal candidate is comfortable working with business users along with business analyst expertise. Major Responsibilities: • Design, develop, and deploy Databricks jobs to process and analyze large volumes of data., • Collaborate with data engineers and data scientists to understand data requirements and implement appropriate data processing pipelines., • Optimize Databricks jobs for performance and scalability to handle big data workloads., • Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks., • Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions., • Demonstrated proficiency with Data Analytics, Data Insights, • Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process, • Leverage SQL, programming language (Python or similar) and/or ETL Tools (Azure Data Factory, Data Bricks, Talend and SnowSQL) to develop data pipeline solutions to ingest and exploit new and existing data sources., • 5+ years - Enterprise Data Management, • 5+ years - SQL Server based development of large datasets, • 5+ years with Data Warehouse Architecture, hands-on experience with Databricks platform. Extensive experience in PySpark coding. Snowflake experience is good to have, • 3+ years Python (numpy, pandas) coding experience, • 3+ years' experience in Finance / Banking industry – some understanding of Securities and, • Banking products and their data footprints., • Experience with Snowflake utilities such as SnowSQL and SnowPipe - good to have, • Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling., • Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills, • Capable of discussing enterprise level services independent of technology stack, • Experience with Cloud based data architectures, messaging, and analytics, • Superior communication skills, • Cloud certification(s) preferred, • Minimally a BA degree within an engineering and/or computer science discipline, • Master's degree strongly preferred

Job Description Summary World Insurance Associates is a unique insurance organization offering top products and services from major providers, combined with attentive service from local agents. Founded in 2011, World is one of the fastest-growing insurance brokers in the U.S. with over 2,200 employees in over 260 offices across North America. We specialize in personal and commercial insurance lines, surety and bonding, employee benefits, financial and retirement services, and human capital management solutions. Our rapid growth and market leading presence has created opportunities throughout the state and we offer top talent the choice to work from one of our multiple offices throughout the region. Position Overview This position’s primary responsibility will be to provide technical expertise, coordinate day-to-day deliverables for the data analysis & data governance team and interpret and analyze large datasets. The candidate should be well versed in the fields of analytics, testing, programming, and development; able to research technologies independently to recommend appropriate solutions & should contribute to technology-specific best practices & standards; contribute to success criteria from design through deployment; contribute expertise on significant application components, program languages, databases, operating systems, testing phases etc. Key Responsibilities: • Conduct in-depth analysis of large datasets to identify trends, patterns, and anomalies, • Data cleansing and preparation, including cleaning and preprocessing raw data to ensure accuracy and reliability, developing and implement data quality standards and working with a team to integrate and automate data pipelines, • Create and maintain comprehensive dashboards and reports for key performance indicators, • Use visualization tools (e.g., Tableau, Power BI) to present complex data in an understandable format, • Self-motivated with ability to work effectively with limited supervision, enthusiasm for collaboration, continuous learning, and a team player., • Advanced Excel expertise (pivot tables, VLOOKUPS, Power Pivot, functions, etc.), • Understand importance of code review and automated testing and different levels at which these need to be performed and write and implement tests as required., • Bachelor’s degree or foreign equivalent from an accredited institution. Preferred Qualifications • Experience in design, development, and deployment of BI solutions using PowerBI (DAX, RLS), Python, Pyspark, Google Big query., • Knowledge or experience in implementing solutions with Microsoft PowerApps, Power Automate, and/or Common Data Service (Power Platform)., • Data Governance, Data Quality, Master Data Management knowledge., • 3-5+ years of proven experiences as a data analyst, • 3-5+ years of T-SQL language/query experience with data manipulation (SQL) like stored procedures, functions etc., • Knowledge of data models, data modelling (Relational and Dimensional), Data profiling and working with large data environments., • Strong communication, team player and advance analytical skills to analyze data issues and drive appropriate actions with data operations and business processes. Position Summary This position is located in New Jersey. The base salary for this position at the time of this posting may range from $80,000 to $90,000. Individual compensation varies based on job-related factors, including business needs, experience, level of responsibility, and qualifications. We offer a competitive benefits package and variable pay programs, please visit for more details. Equal Employment Opportunity At World Insurance Associates (WIA), we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our products, and our community to flourish. WIA is honored to be an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, age, citizenship, marital status, disability, gender identity, sexual orientation, or Veteran status. In addition, WIA makes reasonable accommodations to known physical or mental limitations of an otherwise qualified applicant or employee with a disability, unless the accommodation would impose an undue hardship on the operation of our business. TO EXECUTIVE SEARCH FIRMS AND STAFFING AGENCIES: World does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered World’s property, and World will not be obligated to pay a referral fee. This includes resumes submitted directly to Hiring Managers without contacting World’s Human Resources Talent Department. #LI-GP1#LI-HYBRID Powered by JazzHR jKlP4eqNrn

Job DescriptionGreetings from Donato Technologies Inc. We have an immediate opening with my client. If you are looking for a new project, please send me a copy of your updated resumes Role: Technical Product Owner Location: Jacksonville, FL | Alpharetta, GA | Berkley Heights, NJ (All 5 days onsite, NO REMOTE) Experience: 9-12 yrs for a resource from "leading Fintech organizations like Stripe, Adyen, Marqeta, Koho, Wealthsimple, Neo Financial, Robinhood, Cash App, Chime, Revolute, Shopify, Coinbase, Nubank, Plaid, Klarna, Razorpay, Zerodha, Groww. Specification: Technical Product Owner role in the Fintech industry is Mandatory Look for a candidate with Snowflake knowledge and data warehousing design tool experience for this Technical (Data related Product Owner role) 2-4 years of experience in using product management tools, such as JIRA or Trello 2+ years of experience with Agile methodologies, such as Scrum or Kanban Experience coding: Golang, Java, JavaScript, Python, Bash Scrum certification and/or training Experience in financial regulations Jennifer Sampson Technical Recruiter ....................................................... DONATO TECHNOLOGIES, INC 12100 Ford Rd, #306, Dallas, TX 75234 Direct : (469)-342-0401 Email: Web:

Job DescriptionDescription: A software developer intern is an entry-level team member, typically a student or recent graduate, who joins a software development team to gain hands-on experience in coding, designing, and maintaining software systems. Interns often work under the guidance of senior developers or mentors to learn and contribute to real-world projects. Key Characteristics of a Software Developer Intern: 1. Learning-Oriented: · Their primary goal is to learn industry practices, tools, and workflows. · They observe and apply concepts from their education to practical problems. 2. A software developer intern is an entry-level team member, typically a student or recent graduate, who joins a software development team to gain hands-on experience in coding, designing, and maintaining software systems. Interns often work under the guidance of senior developers or mentors to learn and contribute to real-world projects. Key Characteristics of a Software Developer Intern: 1. Learning-Oriented: · Their primary goal is to learn industry practices, tools, and workflows. · They observe and apply concepts from their education to practical problems. 2. Responsibilities: · Writing and testing code under supervision. · Assisting with debugging and fixing software bugs. · Creating or updating documentation. · Learning about the software development lifecycle and development methodologies (e.g., Agile, Scrum). 3. Skills and Tools: · Familiarity with programming languages such as Python, Java, or JavaScript. · Basic knowledge of version control systems like Git. · Awareness of frameworks, libraries, or tools relevant to the team’s tech stack. · Exposure to database systems, APIs, or cloud platforms is a plus. 4. Supervision and Mentorship: · Interns often work closely with assigned mentors or team members. · Their work is regularly reviewed to ensure quality and adherence to standards. 5. Professional Development: · They gain experience in communication, collaboration, and problem-solving. · Interns are introduced to workplace expectations, such as meeting deadlines and adapting to feedback. What Makes a Good Software Developer Intern: · Eagerness to learn and adapt. · Strong problem-solving skills. · A proactive attitude in asking questions and seeking guidance. · Basic coding knowledge and a willingness to improve. · Good communication and teamwork skills. 5. Professional Development: · They gain experience in communication, collaboration, and problem-solving. · Interns are introduced to workplace expectations, such as meeting deadlines and adapting to feedback. What Makes a Good Software Developer Intern: · Eagerness to learn and adapt. · Strong problem-solving skills. · A proactive attitude in asking questions and seeking guidance. · Basic coding knowledge and a willingness to improve. · Good communication and teamwork skills. Requirements: Responsibilities: · Writing and testing code under supervision. · Assisting with debugging and fixing software bugs. · Creating or updating documentation. · Learning about the software development lifecycle and development methodologies (e.g., Agile, Scrum). 3. Skills and Tools: · Familiarity with programming languages such as Python, Java, or JavaScript. · Basic knowledge of version control systems like Git. · Awareness of frameworks, libraries, or tools relevant to the team’s tech stack. · Exposure to database systems, APIs, or cloud platforms is a plus. 4. Supervision and Mentorship: · Interns often work closely with assigned mentors or team members. · Their work is regularly reviewed to ensure quality and adherence to standards.

Job Description 2Bridge has been engaged in the search for multiple full-time, direct-hire Lead Full Stack Software engineers with a background in Python, React, and Typescript on AWS with our financial client located near Colonia, NJ. They offer a comprehensive package that includes a base, bonus, 401k, PTO, medical, dental, vision, and other benefits! Software Engineering Lead Are you ready to step into a Technical Lead role in a rapidly evolving technical environment? Our client is investing significantly in technology and expanding their software engineering organization. This is an opportunity to join an established and well-known firm and build innovative engineering solutions. Key Responsibilities: Technical Leadership: • Lead the design, development, and deployment of scalable software solutions using Python, React, AWS, and modern scripting languages., • Make strategic architecture decisions to enhance scalability, performance, and maintainability., • Utilize AWS services, including Lambda, DynamoDB, and cloud storage, for application development., • Optimize applications for performance, security, and cost-efficiency., • Oversee the design, development, and management of RESTful and GraphQL APIs for seamless system integrations., • Design and implement automated CI/CD pipelines to enhance development efficiency., • Lead and mentor a team of engineers, fostering a culture of collaboration and technical excellence., • Utilize TypeScript, JavaScript, and Python to build robust, high-performance software solutions., • Work closely with cross-functional teams, including Business Solution Engineers, QA, and stakeholders., • Clearly articulate technical concepts to non-technical audiences. Qualifications: • Bachelor’s degree in Computer Science, Engineering, or a related field., • 10+ years of experience in software engineering and system architecture., • 10+ years building Financial or Portfolio Management, Trading, Risk, or other complex financial or SaaS applications., • Expertise in Python and React for building modern, responsive web applications., • Strong experience with AWS services such as Lambda, DynamoDB, and Redshift., • Deep understanding of API design and management (WSO2, REST, GraphQL)., • Advanced proficiency in TypeScript, JavaScript, and Python., • Experience with SQL development and optimization., • Familiarity with Agile/Scrum methodologies for project delivery., • Hands-on experience with CI/CD pipelines using tools like BitBucket, Docker, and Terraform., • Strong leadership experience in mentoring teams and guiding junior developers., • Excellent problem-solving and decision-making abilities., • Preferred: Cloud certifications and industry expertise in fintech, wealth management, or enterprise SaaS.

Job Description Role: Devops Engineer Location: Woodbridge Township New Jersey Look for Local/Nearby candidates W2 Candidates(USC,GC.GC EAD,H4EAD)- with minimum validity of 12 months Only one round- F2F Required This role focuses on building and securing the OpenShift Container Platform environment from the ground up. The individual will be instrumental in establishing and maintaining a secure and compliant infrastructure for the new data risk and control platform. 7+ years of -hands-on experience establishing SecDevOps and CI/CD pipelines from scratch for enterprise solutions -hands-on experience leading and implementing enterprise & tech mandated non-functional requirements (NFR) -experience aligning delivering on performance metrics and SLAs, building tools and frameworks to ensure metrics/SLAs adherence, and setting up best technology practices -experience working closely with partners in Infosec, Infrastructure and Operations to align with technology standards and establish CI/CD & SecDevOps practices -experience identifying, managing and remediating IT risk and tech debt -hands-on experience leveraging various approved on-prem and cloud capabilities to have seamless CI/CD integration with build, test, deployment and prod monitoring Experience with establishing production operating model, change, incident & defect management Experience establishing frameworks and best practices for seamless integration 7+ years of experience with Docker, Kubernetes, OpenShift containers 5+ years of experience with Cloud Providers like OpenShift (OCP), GCP, Azure 7+ years of experience with Eclipse/intelliJ IDE 5+ years of experience with CI/CD tools like Jenkins, Harness, UCD, GitHub, Maven, Gradle 5+ years of experience with DevSecOps tools like SonarQube, GitLab, Checkmarx, Black Duck 5+ years of experience with Deployment, Logging, Monitoring tools ELK Stack, Splunk, AppDynamics, Liquibase 5+ Proficiency in scripting languages such as Python, Bash, Shell 3+ years of experience with tests frameworks using Jasmine, Karma, Selenium, Junit, JMeter, Rest Assured, Postman 3+ years of experience working in Agile environment using Scrum/Kanban 3+ years of experience working in Jira, Confluence 3+ years of experience with ServiceNow workflows to manage production changes, incidents and defects

PhD (or ABD) in anthropology, communication, economics, political science, psychology, sociology, computer science, computational social science, data science, statistics, or a related discipline, and facility using R and/or Python for applied data science. The Data Analytics and Computational Socia

Machine Learning Model Development : Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. Job Duties • Research and Development: Stay current with the latest ad

Experience in Python and Pyspark.

Courses may include Information Technology Foundations, Fundamentals of Artificial Intelligence, Computer Systems, Analysis of Algorithms, Mobile Application Development, Web Programming, Digital Forensics, Computer Security, Java, Python and other related topics. The Dorothy and George Hennings Col

Python Django Microservices Lead. The ideal candidate should have expertise in Django, Python, Microservices, and web application development, along with experience in designing scalable, secure, and high-performance systems.

Lead AI Engineer (GenAI Platform Services, Python). At least 4 years of experience programming with Python, Go, Scala, or Java. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang.

Python Expertise – 6-8 years of core experience in object-oriented programming with Python, including strong proficiency in libraries such as Pandas and NumPy for data wrangling, analysis, and manipulation.

Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services. JavaScript, Java, TypeScript, SQL, Python, or Go. Lead Sof

Job Title: Python Developer Location: Jersey City, NJ 07302 Work Arrangement: Hybrid (3 day in office, 2 day remote) Client Industry: Banking / Financial Services Duration: 12 Months Contract (with possible extension) Schedule: Monday to Friday, standard business hours Pay Range: $70 – $75 per hou

Java, Scala, Python, Go, or Node. Lead Software Engineer, Backend (Python/Go/Java, AWS). Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and

A major financial firm is looking for a.A Bachelor's Degree in Computer Science, Engineering, or related field of study.Strong understanding of relational databases and SQL.Strong analytical skills with attention to detail.

Senior Software Engineer, Backend (Python/Go/Java, AWS). Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services. Java, Scala, Python, G

Location: New York, NY/ Chicago, IL.Bachelor’s degree in Computer Science or related field preferred.Excellent communication skills.If interested please send your updated resume and include your rate requirement along with your contact details with a suitable time when we can reach you.If you know

Senior Software Engineer, Back End (Python, AWS ). Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services. Java, Scala, Python, Go, or

Lead AI Engineer (Gen AI Platform Services, Python, Kubernetes). At least 4 years of experience programming with Python, Go, Scala, or Java. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang.

Most development is done in C language; some Python is used. Experience with Python scripting is greatly preferred.

Senior Data Engineer (Python, AWS). Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.

Bachelor’s degree in Computer Science or related field preferred.Excellent communication skills.If interested please send your updated resume and include your rate requirement along with your contact details with a suitable time when we can reach you.If you know of anyone in your sphere of contac

Position: Python + Python Certified Duration: Contract Location: New York, NY.

Since 2010 Synergisticit has helped job seekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and at clients.Here at SynergisticIT we just don't focus on getting you a tech job we make careers.In thi

Lead AI Engineer (AI Foundations, Python). At least 4 years of experience programming with Python, Go, Scala, or Java. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang.

Role Name: Python_Azure data architect. Experience developing and deploying application code using SQL, Python, spark. Total level of experience: Seeking developers with python,.

BCforward is currently seeking a highly motivated Python Developer for an opportunity in Jersey City NJ. Python and orchestration frameworks (e. Python development and LLM orchestration frameworks (LangChain, Semantic Kernel, or similar).

Lead the design, development, and deployment of core backend services and APIs using Python. Demonstrated expertise in Python and experience building large-scale, distributed systems. As a Lead Python Engineer, you will architect and build the core backend systems that power our B2B platform, direct

Develop and maintain applications and services using Python. Strong Python programming experience.

Python Full Stack/ Client Ops Engineer. Englewood Cliffs, NJ - For now remote after COVID 12 Months Contract Roles & Responsibilities: Design responsive application Python, Flask and Angular 8 & above with an understanding of various UI architectures.

Design, develop, and maintain robust, scalable, and secure Python-based applications and services. Strong understanding of Python internals, performance tuning, and advanced language features. Write clean, idiomatic, and well-documented Python code following PEP8 and enterprise coding standards.

Coding proficiency in Python, and front-end development experience with Javascript/React. Python and JavaScript/React . Design, develop, implement, test, document and deploy full-stack, cloud-native, contact center-related software applications, tools, systems and services using multi-threaded