We are seeking a highly motivated and experienced Machine Learning engineer to join our team. As a Machine Learning engineer, you will be responsible for creating and implementing complex machine learning algorithms that will help to improve our products and services. The ideal candidate will have a strong background in computer science with strong programming skills in the following: Total Experience of 4 to 6 years as ML Engineer Experience of working across environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others Adept in agile methodologies and well-versed in applying DevOps/MLOps methods to the construction of ML and data science pipelines. Containerization: Experience with containerization technologies such as Docker and Kubernetes. Expertise in at least one programming language, such as Python, Java, or Go. Cloud computing: Experience with cloud computing platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Knowledge of DevOps practices such as continuous integration, continuous delivery, and infrastructure as code. Experience with version control systems such as Git. Able to manipulate and analyze large datasets using tools such as SQL, Pandas, or NumPy. Experience with designing and implementing machine learning workflows, including data preprocessing, feature engineering, model training, and evaluation. Experience with monitoring and logging tools such as Prometheus, Grafana, or ELK stack. Knowledge of security best practices for machine learning systems, including data privacy, access control, and threat detection.
As a Salesforce AI Consultant , you will be responsible for designing and implementing AI-driven solutions within the Salesforce platform. You will collaborate closely with clients to understand their business needs and identify opportunities for leveraging AI to enhance their Salesforce implementations. You will work with cross-functional teams including developers, data scientists, and business analysts to deliver customized AI solutions that address our clients unique challenges and goals. Responsibilities: Collaborate with clients to understand their business objectives and identify opportunities for leveraging AI within their Salesforce implementations. Design and implement AI-driven solutions using Salesforce Einstein and other AI technologies. Develop custom AI models and algorithms to solve specific business problems. Configure and integrate AI-powered features such as predictive lead scoring, recommendation engines, and sentiment analysis into Salesforce applications. Work closely with developers to ensure seamless integration of AI solutions with existing Salesforce workflows and processes. Provide guidance and best practices to clients on how to maximize the value of AI within their Salesforce implementations. Stay updated on the latest AI technologies and trends, and incorporate them into our solutions. Collaborate with internal teams to drive innovation and continuous improvement in our AI offerings. Provide training and support to clients on how to use and maintain AI-powered features within Salesforce. Requirements: Bachelors degree in Computer Science, Engineering, Data Science, or related field. Proven experience as a Salesforce Consultant or Salesforce Administrator with a focus on AI. Strong understanding of Salesforce platform and its AI capabilities, particularly Salesforce Einstein. Experience designing and implementing AI-driven solutions within Salesforce. Proficiency in AI technologies such as machine learning, natural language processing, and predictive analytics. Experience working with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Excellent communication and client-facing skills. Ability to work effectively in a fast-paced, dynamic environment. Strong problem-solving and analytical skills.
As a CMS Expert , you will be responsible for designing and implementing data integration solutions to bring together data from various systems and standardize the data feed and flow within our CMS solutions. You will collaborate closely with clients to understand their content management needs and requirements, and develop customized solutions to streamline the content creation, management, and delivery processes. You will work with cross-functional teams including developers, designers, and content creators to ensure the accuracy, consistency, and integrity of the data, and deliver seamless content experiences for our clients and their audiences. Responsibilities: Collaborate with clients to understand their content management needs and requirements, and develop customized solutions to address them. Design and implement data integration solutions to bring together data from various systems into our CMS solutions. Standardize the data feed and flow within our CMS solutions to ensure accuracy, consistency, and integrity. Develop and maintain data mappings, transformations, and workflows to facilitate the exchange of data between systems. Configure and optimize CMS platforms to support efficient content creation, management, and delivery processes. Provide training and support to clients on how to use and maintain CMS solutions, and troubleshoot any issues that arise. Stay updated on the latest CMS technologies and best practices, and incorporate them into our solutions. Collaborate with internal teams to drive innovation and continuous improvement in our CMS offerings. Requirements: Bachelors degree in Computer Science, Engineering, Information Systems, or related field. Proven experience as a CMS Expert or similar role with a focus on data integration and standardization. Strong understanding of content management systems and their capabilities, particularly in bringing together data from various systems. Experience designing and implementing data integration solutions using APIs, web services, and other integration technologies. Proficiency in programming languages such as Python, JavaScript, or PHP. Familiarity with CMS platforms such as WordPress, Drupal, or Joomla. Excellent communication and collaboration skills. Ability to work effectively in a fast-paced, dynamic environment. Strong problem-solving and analytical skills. Preferred Qualifications: Experience with cloud platforms such as AWS or Azure. Knowledge of data visualization tools such as Tableau or Power BI. Experience working in a consulting or professional services environment. Familiarity with content marketing principles and strategies
We are seeking a highly experienced and passionate Snowflake Expert Consultant to join our growing team.As a key member of our consulting practice, you will be responsible for designing, developing, and implementing cutting-edge data solutions leveraging the Snowflake Data Cloud. Responsibilities: Solution Design Architecture: Lead the design and architecture of complex data solutions on the Snowflake platform, considering performance, scalability, security, and cost-optimization. Development Implementation: Develop and implement Snowflake-based data pipelines, ETL processes, data warehousing solutions, and BI dashboards. Utilize best practices for data modelling, data transformation, and query optimization.Automate data workflows and processes using tools like Snow pipe, Streams, and Tasks. Performance Tuning Optimization: Identify and resolve performance bottlenecks in Snowflake environments. Monitor and optimize Snowflake performance, including query performance, data loading, and resource utilization Client Engagement: Interact directly with clients to understand their business requirements, translate them into technical specifications, and present proposed solutions. Project Leadership: Lead small to medium-sized projects, ensuring on-time and within-budget delivery. Manage project scope, timelines, and resources effectively. Mentoring Knowledge Sharing: Mentor junior team members and share your Snowflake expertise through knowledge sessions, documentation, and code reviews. Staying Current: Keep up-to-date with the latest Snowflake features, releases, and best practices. Contribute to the development of our Snowflake practice.
Requirements 5+ years of Azure and AWS AI Platform Administrator to manage, optimize, and secure AI/ML platforms across Azure and AWS cloud environments. This role involves configuring and maintaining AI services, ensuring optimal performance, managing costs, and supporting AI/ML teams in deploying, scaling, and monitoring workloads. The ideal candidate will have a strong understanding of cloud-native AI tools, infrastructure-as-code (IaC), and DevOps practices Deploy, configure, and maintain AI/ML platforms on Azure (e.g., Azure Machine Learning, Azure Cognitive Services) and AWS (e.g., SageMaker, Rekognition, Comprehend). Manage compute resources (e.g., EC2, EKS, Azure VMs, AKS) for AI workloads, ensuring cost-effective and scalable infrastructure Oversee storage and data management for AI applications using S3, Azure Blob Storage, and Data Lake solutions Provide technical support to data scientists, ML engineers, and developers in deploying and managing AI/ML workloads Collaborate with DevOps and security teams to align infrastructure and processes with organizational policies Monitor the performance of AI workloads, optimizing for cost, latency, and throughput using tools like CloudWatch, Azure Monitor, and third-party platforms Implement auto-scaling mechanisms for dynamic AI/ML workloads
As a Salesforce Data Engineer , you will be responsible for designing and implementing data pipelines to extract, transform, and load (ETL) Salesforce data. You will collaborate closely with clients to understand their data needs and requirements, and develop customized solutions to normalize, cleanse, and fine-tune their Salesforce data. You will work with cross-functional teams including data scientists, business analysts, and developers to ensure the accuracy and integrity of the data, and deliver actionable insights that drive business outcomes. Responsibilities Collaborate with clients to understand their data needs and requirements, particularly related to Salesforce data. Design and implement data pipelines to extract, transform, and load (ETL) Salesforce data into data warehouses or other storage systems. Normalize and cleanse Salesforce data to ensure accuracy, consistency, and integrity. Fine-tune data models and algorithms to improve data quality and reliability. Develop and maintain data processing scripts and workflows using programming languages such as Python, SQL, or Java. Implement data governance and security measures to protect sensitive data and ensure compliance with regulatory requirements. Work closely with data scientists and business analysts to develop data-driven insights and recommendations. Monitor and optimize data pipelines for performance, scalability, and reliability. Provide training and support to clients on how to use and maintain data pipelines and tools. Requirements: Bachelors degree in Computer Science, Engineering, Data Science, or related field. Proven experience as a Data Engineer with a focus on Salesforce data. Strong understanding of Salesforce platform and its data model. Experience designing and implementing data pipelines to extract, transform, and load Salesforce data. Proficiency in programming languages such as Python, SQL, or Java. Experience with data modeling, normalization, and cleansing techniques. Familiarity with ETL tools and frameworks such as Apache Spark, Talend, or Informatica. Excellent communication and collaboration skills. Ability to work effectively in a fast-paced, dynamic environment. Strong problem-solving and analytical skills. Preferred Qualifications: Salesforce certifications such as Salesforce Certified Administrator (ADM 201) or Salesforce Certified Platform App Builder. Experience with cloud platforms such as AWS or Azure. Knowledge of data visualization tools such as Tableau or Power BI. Experience working in a consulting or professional services environment
Our Team isredefining performance marketing with cutting-edge technology and data-driven strategies. Were a profitable, bootstrapped start-up led by industry veterans in ad tech, publishing, and performance marketing. Join us in building scalable platforms that fuel the next generation of digital businesses. What You'll Do Design, build, and manage scalable infrastructure onGoogle Cloud Platform (GCP). Implement and maintain CI/CD pipelines (GitHub Actions or similar). Automate infrastructure management withTerraform, Python, or Bash. Monitor and optimize performance, cost, and security usingDatadogand GCP tools. Partner with engineering teams to streamline deployments and improve developer productivity. What We're Looking For 7+ years of DevOps/Cloud Engineering experiencewith strong GCP expertise. Hands-on skills in infrastructure-as-code, CI/CD, and scripting. Experience with monitoring, logging, and observability tools. Strong problem-solving mindset and ability to thrive in a startup environment. Bonus: Experience with Kubernetes (GKE), cloud cost optimization, and SaaS integrations. Why Us Fast-paced, entrepreneurial environment where you'll have ownership and impact. Exposure to modern cloud, data, and performance marketing technologies. Opportunity to grow with a scaling USA based startup
Senior Salesforce Developer (strong emphasis on Experience Cloud) Essential Functions/ Responsibilities Partner with Salesforce Architects, Product Managers, UX Experts and Delivery Lead to translate business requirements into we'll-architected solutions that best leverage the Salesforce platform and web development best practicesto enhance and support WCAG 2.2 AA complaint public website delivering exceptional digital experiences Develop, test, and document development, integrations, and data migration elements Follow coding standards and participate in code reviews to ensure appropriate design patterns are followed Provide estimates and work breakdown structures for assigned tasks Continuous learning of new technical and product capabilities from Salesforce, inclusive of keeping apprised of updates in each release as we'll as industry best practices with web development Qualifications bachelors degree in computer engineering or computer science Expertise in Salesforce Platform with depth in Experience Cloud including the ability to determine configuration, customization, and/or integrations with external systems such as headless Content Management system Extensive experience with headless CMS platforms (Sanity strongly preferred) Proven ability to enhance and support headless CMS integrations with Salesforce Experience Cloud Knowledge of personalization, multilingual content, and SEO optimization within Experience Cloud + CMS Experience (Community) Cloud expert with 5+ years of Salesforce development experience, exposure toMarketing Cloud Personalization will be huge plus Expert in Lightning Design System and Lightning Web Components Proven experience in Responsive Design web development with HTML, CSS, JavaScript, React, and design systems such as SLDS, Bootstrap, and Material Design Proficient in Salesforce development, including Salesforce CLI (DX IDE), migration tools, SOSL, SOQL, web services, app builder, and Experience Builder Platform Developer I certification preferred; Platform Developer II and JavaScript certifications a plus Proficient with GitHub/Bitbucket, including branching, merging, and rebasing. Proven experience using Gearset would be great Experience with Agile methodologies (particularly Scrum) and tools like Jira and Bitbucket for development, version control, collaboration, and tracking Must Haves for this roles High comfort level working on US overlap hours till 11:00 am Pacific Time Good communication skills written and spoken English Good internet access for remote working at least 50 Mbps (100 Mbps or higher would be great) Laptop/Desktop of at least 16 GB memory (32 GB or more would be great) with dual monitors Camera for video conferences and meetings
We are seeking a detail-orientedIntegration QA Engineerto ensure the reliability, accuracy, and performance of system integrations powering theFoxipedia platforma critical master data management application serving linear and digital distribution. This role will focus on validating integrations across APIs, data pipelines, and third-party services such as Snowflake, Reltio MDM SaaS, AWS, and MuleSoft. Key Responsibilities 1. Test Strategy Planning Design, develop, and maintain test plans, test cases, and automation scripts for system and API integrations. Collaborate closely with product managers, business analysts, developers, and integration engineers to understand business logic, data flows, and edge cases. Define and evolve integration QA standards, with emphasis ondata quality,resilience, andreal-time processing requirements. Use QA Automation tools and AI tools where needed. 2. Integration Testing Execute end-to-end testing of data pipelines and APIs spanning Foxipedia Reltio, Snowflake, MuleSoft, Program Domain and other connected systems. Validate data mapping, transformation logic, and synchronization across internal and third-party platforms. Test failover behavior, timeout handling, and retry logic to ensure system reliability. 3. Automation Observability Build and maintain API test suites using Postman,TestRail, REST Assured, or similar tools. Contribute to CI/CD pipelines to enable automated integration and regression testing. Use logs and monitoring tools (e.g., Splunk, DataDog) to track data movement and debug failures. 4. Defect Risk Management Log, triage, and track integration defects through resolution. Work with engineering teams to isolate root causes and verify fixes. Provide QA sign-off for integration releases and hotfixes, ensuring adherence to SLAs and deployment checklists. 5. Cross-Team Collaboration Partner with Integration Domain, DevOps, Product, and external vendors to ensure seamless integration rollouts. Participate in integration design reviews and release planning. Document QA approaches, integration validation steps, root cause analysis for bugs and known system limitations.
As a UI/UX Designer , you will play a crucial role in shaping the digital experiences of our products and services. You will collaborate closely with cross-functional teams including product managers, developers, and marketers to conceptualize and deliver exceptional user interfaces and experiences. We are looking for a creative thinker with a keen eye for detail and a deep understanding of the latest design trends, frameworks, and tools. Responsibilities: Collaborate with product managers and developers to understand user needs and business requirements. Conceptualize and design intuitive user interfaces for web and mobile applications. Create wireframes, prototypes, and mockups to effectively communicate design ideas. Conduct user research and usability testing to gather feedback and iterate on designs. Stay updated on the latest design trends, frameworks, and tools, and incorporate them into design processes. Work closely with developers to ensure seamless implementation of designs. Advocate for user-centric design principles throughout the product development lifecycle. Requirements: Bachelors degree in Graphic Design, HCI, or related field. Proven experience as a UI/UX Designer with a strong portfolio showcasing innovative design solutions. Proficiency in design tools such as Sketch, Adobe XD, Figma, or similar. Experience with front-end development frameworks such as React, Vue.js, or Angular. Familiarity with prototyping tools such as InVision, Proto.io, or Axure. Strong understanding of responsive design principles and mobile-first approach. Excellent communication and collaboration skills. Ability to work effectively in a fast-paced, dynamic environment. Passion for creating exceptional user experiences
Our Team is redefining performance marketing with cutting-edge technology and data-driven strategies. We re a profitable, bootstrapped start-up led by industry veterans in ad tech, publishing, and performance marketing. Join us in building scalable platforms that fuel the next generation of digital businesses. What You'll Do Design, build, and manage scalable infrastructure onGoogle Cloud Platform (GCP). Implement and maintain CI/CD pipelines (GitHub Actions or similar). Automate infrastructure management withTerraform, Python, or Bash. Monitor and optimize performance, cost, and security usingDatadogand GCP tools. Partner with engineering teams to streamline deployments and improve developer productivity. What We re Looking For 7+ years of DevOps/Cloud Engineering experiencewith strong GCP expertise. Hands-on skills in infrastructure-as-code, CI/CD, and scripting Experience with monitoring, logging, and observability tools. Strong problem-solving mindset and ability to thrive in a startup environment. Bonus: Experience with Kubernetes (GKE), cloud cost optimization, and SaaS integrations.
Responsibilities: Develop and implement features for an innovative iOS application using SwiftUI. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Integration with health-related device peripherals is part of the project scope. Qualifications: Proven experience in iOS development, proficient in Swift and SwiftUI. Familiarity with Apple's design principles and interface guidelines. Previous experience with real-time data processing and integration with health-related frameworks is desirable. Experience with WatchOS is a plus. Should have experience of 4-6 years in IT Additional Skills: Effective problem-solving skills, good communication, and ability to work in a dynamic team environment. Desired skills: Swift, SwiftUI, iOS development, real-time data processing, integration with health-related frameworks, WatchOS (good to have).
We are seeking a highly skilled and experienced Power BI Developer to join our growing team. The ideal candidate will have a strong understanding of data modelling, semantic layer design, and extensive experience in developing and deploying Power BI solutions. Experience with the Microsoft Fabric ecosystem is essential, and familiarity with Tableau, particularly any experience migrating from Tableau to Power BI, is a significant advantage. You will play a key role in designing, developing, and maintaining interactive dashboards and reports that provide actionable insights to our business stakeholders. Responsibilities: Design, develop, and maintain complex Power BI dashboards and reports, leveraging advanced features such as DAX, Power Query, and data modelling. Build and optimize data models within the Power BI semantic layer to ensure performance and scalability. Work closely with business stakeholders to understand their data requirements and translate them into effective visualizations and reports. Develop and implement data governance and security measures within Power BI. Administer Power BI workspaces and manage user access. Utilize the Microsoft Fabric ecosystem for data integration, transformation, and warehousing. Troubleshoot and resolve performance issues and data discrepancies. Stay up-to-date with the latest Power BI features and best practices. Qualifications: Bachelors degree in Computer Science, Information Systems, or a related field. 5+ years of proven experience as a Power BI Developer. Deep understanding of data modelling concepts and semantic layer design. Extensive experience with Power BI Desktop, Power BI Service, and DAX. Strong skills in data transformation and cleansing using Power Query. Hands-on experience with the Microsoft Fabric ecosystem (eg, Data Factory, Synapse Analytics, Data Lake). Knowledge of data warehousing concepts and best practices. Excellent communication and collaboration skills. Strong analytical and problem-solving abilities. Good to have: Experience with Tableau development and administration. Experience migrating dashboards and reports from Tableau to Power BI.
We are looking for an experienced Salesforce CPQ Developer to join our team. The ideal candidate will have strong expertise in Salesforce CPQ, with at least 3 years of hands-on experience in CPQ development, combined with deep knowledge of Apex and Lightning Web Components (LWC). As part of the development team, you will play a key role in configuring, customizing, and optimizing Salesforce CPQ solutions. Key Responsibilities: Design, implement, and maintain Salesforce CPQ solutions tailored to the business needs. Develop, test, and deploy Apex classes, triggers, and Lightning Web Components (LWC) to extend the functionality of Salesforce CPQ. Collaborate with cross-functional teams to gather requirements and translate them into scalable solutions. Customize the CPQ configuration, including product rules, pricing rules, quote templates, and guided selling. Troubleshoot and resolve issues related to CPQ functionality and integrations with other Salesforce modules. Write and optimize complex SOQL queries and handle data migration tasks as required. Assist with continuous improvement initiatives and ensure the system s performance and scalability. Provide training and support to end-users and ensure the CPQ solution meets business needs. Stay up-to-date with Salesforce best practices, new features, and release updates related to CPQ and LWC. Key Skills and Qualifications: Experience: Minimum of5+ yearsof experience working withSalesforce, with at least3 yearsof direct experience inSalesforce CPQand1+ year in Lightning Web Components (LWC). Apex: Strong proficiency inApex(3+ years of experience), including working with triggers, classes, and batch processes. Salesforce CPQ: Proven expertise in Salesforce CPQ configuration, product catalog setup, pricing, and quote generation. Certification:Salesforce CPQ Specialist certification is a must. Salesforce Experience: In-depth knowledge of Salesforce platform and its various modules (Sales Cloud, Service Cloud, etc). LWC: Hands-on experience in building and deploying Lightning Web Components. Problem-Solving: Strong troubleshooting and problem-solving skills with a focus on delivering scalable solutions. Communication: Excellent verbal and written communication skills with the ability to effectively collaborate with team members and stakeholders. Desired Skills: Exposure to integrating CPQ with other Salesforce solutions, including Sales Cloud, Service Cloud, and external applications. Familiarity with Salesforce APIs, REST, and SOAP integrations. Understanding of Agile methodology and experience working in agile sprints.
We are seeking an experienced Senior Data Engineer to drive the modernization of our data infrastructure. The ideal candidate will play a key role in designing, building, and optimizing data pipelines as we migrate to Google Cloud Platform (GCP)leveraging Dataform for orchestration and transformation. You will collaborate with multiple teams to create a scalable, efficient, and future-ready data environment that supports advanced analytics and business intelligence initiatives. Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL/ELT workflows. Lead the migration of existing workflows to GCP's Dataform and establish a robust data pipeline framework. Build efficient systems for data ingestion, transformation, and delivery across platforms. Collaborate with engineering, product, and analytics teams to ensure data accessibility and integrity. Implement and monitor data governance, quality, and performance standards. Optimize GCP resources for performance and cost efficiency. Continuously evaluate and integrate new tools and technologies to enhance pipeline performance. Required Skills & Experience 6+ years of hands-on experience as a Data Engineer. Strong proficiency in SQL, Python, and data transformation frameworks. Proven experience with Google Cloud Platform (GCP) services including BigQuery, Dataform, Dataflow, Pub/Sub, and Cloud Storage. Deep understanding of ETL/ELT processes, data modeling, and data warehouse architectures. Experience with version control (Git) and CI/CD pipelines for data workflows. Solid understanding of data quality, observability, and reliability practices.
1)Analyze user requirements, design documents and other documentation to develop detailed test cases 2) Create and execute automated functional and regression test cases against HTML, PDF, and Excel Reports, report and document all issues, test cases ran, test results, and testing summaries in detail 3) Perform SQL queries to analyze and manipulate data 4) Work with development team and customers to clearly understand the functionality under test to define and implement test case automation and clearly communicate to the team 5) Execute performance and accessibility testing 6) Perform manual testing and data validation
Gen AI Machine Learning developer using python Overall experience of 3-5 yrs in IT 2-4 years of working experience as a Machine Learning (ML) developer using python Fluent in Generative AI (Gen AI), large language/vision models (LLM/LVM) NLP Experience in Prompt creation and custom Dataset creation for LLM/LVM Optimize existing generative AI models for improved performance, scalability, and efficiency Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation Strong proficiency in Python and experience with relevant libraries (NumPy, pandas, scikit-learn, etc.). Experience in Android / Web F/Ws is an advantage Understanding of relational database systems (MySQL/Postgres/MongoDB) Excellent coding, analytical and problem-solving skills. Experience with cloud platforms (AWS, Google Cloud, Azure) for deploying machine learning models. Familiarity with MLOps practices and tools. Knowledge of data engineering and data pipeline development. Experience with version control systems (e.g., Git)