Saarthee is global IT consulting firm unlike any other, where our passion for helping others fuels our approach and our products and solutions. We are a one-stop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthee’s holistic and tool agnostic approach is unique in the marketplace. Our Consulting Value Chain framework meets our customers where they are in their data journey. Our diverse and global team work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights-fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion.  

About Saarthee:Saarthee is a global IT consulting firm unlike any other, where our passion for helping others fuels our approach and our products and solutions. We are a one-stop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthee’s holistic and tool agnostic approach is unique in the marketplace. Our Consulting Value Chain framework meets our customers where they are in their data journey. Our diverse and global team work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India. Position: BPC Backend ConsultantLocation: BangaloreWork Mode: HybridMin-Max Experience: 6 - 10 years Position Summary:6 to 10 Years of full-time experience in Consulting and Technical roles pertaining to SAP BPC Classic, SAP BW and ABAP.A minimum of 2 full cycle implementations and a track record of successfully implementing production of analytics projects in challenging environments.Capable of understanding business requirements functionally and create a technical implementation proposal.Experience in Media domain and its processes (e.g. Amortization) is nice to have. Your Role Responsibilities and Duties:<ul><li>Lead and execute SAP BPC Classic and SAP BW projects, ensuring smooth end to end implementation.</li><li>Design and configure SAP BPC and SAP BW solutions, with expertise in ABAP for customizations and enhancements.</li><li>Manage full-cycle SAP BPC implementations, from requirements gathering to production deployment.</li><li>Create and deliver technical proposals based on business requirements, blending functional and technical insights.</li><li>Collaborate with clients to understand business needs (e.g., Media domain, Amortization) and convert them into SAP BPC solutions.</li><li>Act as a trusted advisor, guiding clients through best practices for successful analytics projects.</li><li>Manage deliverables, timelines, quality, and client relationships throughout the project lifecycle.</li><li>Coordinate with cross functional teams to align business objectives and technical solutions.</li><li>Troubleshoot and optimize SAP BPC, SAP BW, and ABAP related performance issues.</li><li>Provide post go-live support to ensure efficient system operation and meet requirements.</li></ul> Required Skills and Qualifications:<ul><li>6 to 10 years of full-time experience in both Consulting and Technical roles related to SAP BPC Classic, SAP BW, and ABAP.</li><li>Proven track record with a minimum of 2 full-cycle implementations of SAP BPC, with experience in taking analytics projects from initiation to successful production in challenging environments.</li><li>Strong understanding of business requirements, with the ability to create technical implementation proposals and align them with functional business goals.</li><li>In-depth experience in SAP BPC Classic, including configuration, scripting, and deployment.</li><li>SAP BW expertise, including data extraction, transformation, and loading (ETL), as well as reporting capabilities.</li><li>Knowledge and hands-on experience with ABAP programming for developing custom functionality and enhancements within SAP systems.</li><li>Ability to analyze and resolve complex issues, ensuring efficient system performance and client satisfaction.</li><li>Familiarity with Media domain processes such as Amortization is a nice-to-have but not mandatory.</li><li>Strong communication skills and ability to interact with business users and technical teams to understand requirements and deliver solutions.</li><li>A problem-solving mindset and the ability to troubleshoot and resolve issues independently.</li></ul> What we Offer:<ul><li>Bootstrapped and financially stable with high pre-money evaluation.</li><li>Above industry remunerations.</li><li>Additional compensation tied to Renewal and Pilot Project Execution.</li><li>Additional lucrative business development compensation.</li><li>Firm building opportunities that offer stage for holistic professional development, growth, and branding.</li><li>Empathetic, excellence and result driven organization. Believes in mentoring and growing a team with constant emphasis on learning.</li></ul> Saarthee – Actionable InsightsSaarthee – Actionable Insights

Job Summary: We are seeking a skilled ML Ops Engineer to support and enhance our machine learning operations infrastructure. In this role, you will be responsible for monitoring production services, troubleshooting issues, and collaborating with teams to improve automation and system reliability. You will play a critical role in ensuring seamless model deployment, performance, and integration within our ML platform Key Responsibilities: <ul><li>Monitor support channels and incident queues to proactively identify and address operational issues.</li><li>Investigate and resolve issues reported by automation systems, alerts, or customer feedback.</li><li>Maintain and support online production services for serving ML models, ensuring high availability and performance.</li><li>Collaborate with engineering teams to automate processes and improve operational efficiency.</li><li>Gain a deep understanding of ML platform capabilities and integrations, providing technical insights to enhance system reliability.</li><li>Identify recurring issues and provide feedback to ML platform engineers for continuous improvements.</li><li>Contribute to documentation efforts, ensuring clarity and accuracy for internal teams and stakeholders.</li></ul> Required Skills &amp; Qualifications: <ul><li>Bachelor's or master's degree in computer science or related field.</li><li>Relevant experience of 3 years in Python programming.</li><li>Programming: Proficiency in Python (Mandatory).</li><li>ML Infrastructure: Hands-on experience with Databricks, Tecton, and ML Concepts (Model Deployment, Feature Engineering, Monitoring).</li><li>DevOps &amp; Automation: Strong knowledge of Kubernetes, Jenkins, and GitHub for CI/CD pipelines and infrastructure automation.</li><li>Cloud Computing: Expertise in AWS services related to ML Ops.</li><li>Version Control &amp; Monitoring: Experience with GitHub Actions, observability tools, and system monitoring frameworks.</li><li>Problem-Solving &amp; Communication: Strong analytical skills, ability to debug production issues, and effectively communicate with cross-functional teams.</li></ul> Preferred Qualifications: <ul><li>Experience working with large-scale distributed ML systems.</li><li>Knowledge of Terraform for infrastructure as code.</li><li>Experience with logging and observability best practices for ML models in production.</li><li>If you are excited about building scalable ML infrastructure and driving automation, we’d love to hear from you! Apply now to be part of our team.</li></ul>

Systems EngineerAs a Systems Engineer, you will work as a technical lead on various cloud and on-prem initiatives through all phases of design, implementation, and support. While contributing at a high level technically, this role will also require a passion for customer service, proven through problem solving, customer empathy, and communication. The ideal candidate is a self-starter that is eager to learn by taking on new challenges, while also demonstrating an equal commitment to helping others grow. If this sounds like you, please apply!Responsibilities:· Design, develop, and implement archiving solutions, ensuring efficient data storage, retrieval, and compliance with industry standards.· Analyze complex IT environment needs and implement tailored technology solutions for optimal performance and scalability.· Support data storage, disaster recovery, and data analysis systems across multiple groups.· Work with a variety of internal customers to understand data management needs and deliver to satisfaction.· Automate with tooling that will streamline our internal processes. You’ll seek ways to make us more efficient as we build, maintain, and monitor our systems.· Ensure all systems meet our high security standards by implementing new tooling and processes.· Deal with incidents, working under pressure to restore services quickly while maintaining a high level of communication.· Work well with others including the wider IT teams and business units.· Maintain high standards of documentation and adhere to processes and standards.· Comfortable being the sole resource on projects with the ability to have a flexible approach to working hours to support global operations.Qualifications:· At least 3 years of experience working in a professional IT environment with hands-on technical experience and demonstrated success in delivering projects.· B.S./B.A. in Computer Science, Information Systems, Electrical/Computer Engineering, or equivalent experience.· Understanding of backup and disaster recovery systems, methods of data preservation, data retention concepts, and how to manage and track large datasets.· Data Media and storage management including knowledge around object storage, cloud object storage, tape media.· Experience in the design and implementation of Linux, AWS, Terraform, and Ansible, as well as installation, configuration, and management – know how to deploy as well as how to automate installation and configuration.· Experience with scripting languages such as Python, Shell, or equivalent.· Familiarity with Storage types (SAN, NAS, Block, and Unstructured) including matching storage types to workloads.· Experience in vendor management, specifically in matching product capabilities to requirements, aligning costs to budgets, and testing products to confirm capabilities. Ability to set up and configure host and service monitoring.· Understanding of DNS and networking including high-speed networking (25/40/100GbE).· Ability to identify and develop opportunities to improve, innovate and/or pioneer new ways of working through continuous process improvement practices.· A can-do attitude with the ability to collaborate with others.· Strong time management skills with a passion for technology and a desire to learn and grow.· A willingness to compromise; you must be able to listen and understand other perspectives.· Proactive, self-managing and remains calm under pressure.· An ability to manage multiple tasks and projects with a keen eye for detail.· A natural aptitude for learning and understanding multiple systems and tool

Position Summary: We are seeking a skilled DevOps Engineer to design, build, and maintain highly reliable and scalable systems on AWS infrastructure. The ideal candidate will be responsible for automating processes, monitoring system performance, and collaborating with development teams to ensure robust, user-friendly solutions. This role requires a proactive professional with a strong focus on automation, reliability, and collaboration to optimize infrastructure and enhance end-user experiences. Your Role Responsibilities and Duties: • Build, operate and maintain Kubernetes clusters.• Develop and maintain CLI tools using Python, Golang• Design, build, and maintain highly available and scalable AWS infrastructure, including EC2, EKS, VPC, S3, and other services as needed.• Implement and maintain automation tools for AWS infrastructure, using tools such as Terraform, CloudFormation, and AWS CLI• Develop and maintain monitoring and alerting systems for AWS infrastructure, using tools such as CloudWatch and Prometheus.• Collaborate closely with development teams to ensure that applications are designed and built with reliability and scalability in mind.• Work closely with other IT teams, such as network and security teams, to ensure that AWS infrastructure is secure, stable, and performant.• Continuously evaluate and improve AWS infrastructure, identifying areas for optimization and implementing improvements to increase reliability and efficiency.• Provide support to internal and external customers, responding to inquiries and resolving issues in a timely and effective manner.• Stay up to date with AWS trends and best practices, continuously learning and incorporating new approaches and technologies to improve IT operations. Required Skills and Qualifications: • Bachelor’s degree in computer science, Information Technology, or related field.• Minimum of 4 years of experience as an DevOps, with a focus on AWS.• Build, operate and maintain Kubernetes clusters.• Strong knowledge of AWS services, such as EC2, EKS, VPC, S3, and CloudWatch.• Experience with infrastructure as code tools such as Terraform, CloudFormation.• Strong experience with automation and scripting tools such as Linux shell Scripting, Python.• Excellent analytical and problem-solving skills, with the ability to quickly identify and resolve issues.• Strong communication and collaboration skills, with the ability to work effectively with other IT teams and stakeholders.• Kubernetes certification would be plus. What we Offer: • Bootstrapped and financially stable with high pre-money evaluation.• Above industry renumerations.• Additional compensation tied to Renewal and Pilot Project Execution.• Additional lucrative business development compensation.• Firm building opportunities that offer stage for holistic professional development, growth, and branding.• Empathetic, excellence and result driven organization. Believes in mentoring and growing a team with constant emphasis on learning.

Position Summary: We are seeking a skilled Machine Learning Engineer to design, develop, and deploy ML models for various applications, including recommendation systems. The ideal candidate will implement and optimize machine learning algorithms to enhance model performance and accuracy while ensuring that enterprise infrastructure and data pipelines are equipped to support scalable ML solutions. This role involves collaborating with ML engineers and stakeholders to translate business requirements into effective ML solutions. Responsibilities include designing scalable machine learning pipelines for data preprocessing, model training, and deployment, as well as enhancing model monitoring to track scalability and error rates. Additionally, the role focuses on ML model load testing, developing end-to-end test cases, and evaluating model scalability and latency under varying workloads. The candidate will automate test cases to ensure seamless model deployment and operation in production environments. Responsibilities: <ol><li>Design and develop machine learning models for various applications, such as recommendation systems.</li><li>Deploy machine learning solutions to meet enterprise goals and support experimentation and innovation.</li><li>Ensure that enterprise infrastructure and data pipelines are well-equipped to support machine learning solutions.</li><li>Implement and optimize machine learning algorithms to improve model performance and accuracy.</li><li>Collaborate with ML engineers, and stakeholders to understand business requirements and translate them into effective ML solutions.</li><li>Design and implement scalable machine learning pipelines for data preprocessing, model training, and deployment.</li><li>Enhance Monitoring of model scalability, and incident of increased error rate and ensure optimal results.</li><li>Focus on ML model load testing and creation of E2E Test Cases.</li><li>Evaluate models’ scalability and latency by running suites of metrics under different RPS and creating and automating the test cases for individual models, ensuring a smooth rollout of the models.</li></ol> Qualifications: <ol><li class="ql-indent-1">Bachelor's or master's degree in computer science, Engineering, Mathematics, or a related field.</li><li class="ql-indent-1">Minimum of 3-8 years of experience in machine learning, with a proven track record of building, monitoring, large scale ML models.</li><li class="ql-indent-1">Strong problem-solving skills and understanding of recommendation system.</li><li class="ql-indent-1">Strong programming skills in languages like Python, Scala, and Java.</li><li class="ql-indent-1">Hands on experience in Databricks, mlFlow, Seldon, Kubeflow, Jenkins, Tecton.</li><li class="ql-indent-1">Familiarity with custom machine learning platforms, feature store and monitoring ML Models.</li><li class="ql-indent-1">Expertise in recommendation algorithms.</li><li class="ql-indent-1">Experience with software engineering principals and use of cloud services like AWS.</li><li class="ql-indent-1">Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.</li></ol> Mandatory Skills: Databricks, ML flow, Seldon, Kubeflow, ML Load Testing, AWS Services, Tecton, Jenkins, Java/Python/Scala, Evaluate Scalability &amp; latency of Models.