Responsibilities Work on live projects with the development team Assist in coding, testing, and debugging Learn and implement industry best practices Collaborate with senior developers Qualifications & ExperienceAndroid Intern: Basic knowledge of Android Studio, Flutter Freshers / Passout candidates are welcome.

ResponsibilitiesDesign, implement, and maintain data pipelines. Deploy machine learning models to production environments on AWS, ensuring scalability and reliability. Implement CI/CD practices for continuous integration and deployment of AI models. Monitor and optimize the performance of deployed models, using metrics to assess accuracy and effectiveness in real-world applications.Qualifications & Experience3+ years of commercial hands-on experience with AWS. Strong knowledge of Python. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). In-depth knowledge of AWS services relevant to AI/ML, such as SageMaker, Lambda, EC2, S3, and RDS. Experience with Docker and Kubernetes. Experience with Kubeflow is a huge plus. Familiarity with Vector DBs, LangChain, LangGraph, AI workflows, and RAG systems. Understanding in designing, building, and maintaining data pipelines for data ingestion, transformation, and storage. Knowledge of ETL processes and tools such as AWS Glue, Apache Airflow, or similar technologies. Experience deploying machine learning models on AWS. Understanding of CI/CD pipelines for AI model deployment. Experience with performance optimization and scaling of AI applications on AWS. Strong knowledge of data preprocessing techniques and best practices for managing datasets in cloud environments. Experience with databases (SQL, NoSQL) and data warehousing solutions. Familiarity with model monitoring tools and techniques on AWS. Ability to troubleshoot and maintain deployed models. Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. At least an upper-intermediate level of English.

ResponsibilitiesImplement a cloud-native analytics platform with high performance and scalability. Find creative and elegant solutions to complex problems. Be an advocate for Rails and best practices in software engineering. Work in an agile environment where quick iterations and constructive feedback are the norm. Build solid expertise in the entire client application suite and leverage this knowledge to better design application and data frameworks. Adhere to client iterative development processes to deliver concrete value each release while driving longer-term technical vision. Collaborate with cross-organizational teams, including Product Management, Integrations, Services, Support, and Operations, to ensure the overall success of software development, implementation, and deployment.Qualifications & Experience3- 6 years of experience building enterprise, SaaS web applications using Ruby. Strong experience in full-stack web development with JavaScript, React, CSS/Less, Sphinx, Redis, Haml, and RSpec. Solid knowledge of Ruby on Rails. Contributed fixes/features to Rails Core, jQuery. Understanding of writing and/or maintaining a Rails plugin and/or RubyGems. Experience with relational SQL and NoSQL databases, such as MySQL, PostgreSQL, AWS Aurora, and Cassandra. Experience with database performance issues and query optimisation with MySQL. Proven expertise in performance optimization and monitoring tools. Strong knowledge of cloud platforms (e.g., AWS, Azure, or GCP) Experience with CI/CD tooling and software delivery and bundling mechanisms. Bachelor’s degree in computer science, information systems, computer engineering, systems analysis, or a related discipline, or equivalent work experience. A strong leader with extensive technical experience. A well-founded analytical approach to finding good solutions, a strong sense of responsibility, and excellent skills in communication and planning.

ResponsibilitiesLead the design and development of full-stack analytics tools, dashboards, and self-service data products. Build backend APIs and services that efficiently aggregate and serve data. Design responsive and intuitive frontend interfaces using Angular for real-time data interaction and visualization. Optimize SQL queries and work closely with data engineers on schema design and performance tuning. Collaborate with stakeholders to translate analytical requirements into robust technical solutions. Mentor junior developers and review code for maintainability and performance. Drive adoption of best practices in testing, deployment, and code quality.Qualifications & Experience5+ years of experience in full-stack development, ideally in a data-centric environment. Solid knowledge of Java (Spring Boot), Angular (v16+)/React, and SQL and/or graph databases. Deep understanding of building web-based data applications or internal tools used for analytics. Familiarity with common data patterns, ETL workflows, and working with large datasets. Experience with RESTful APIs, caching strategies, and performance tuning. Strong understanding of data privacy and security concerns in analytics applications. Excellent communication skills and ability to collaborate with non-technical users.

Responsibilities Novel Problem Resolution: Investigate and resolve novel, ambiguous, and system-wide issues that have no existing solution (e.g., multi-tenant platform bugs, obscure performance degradation, complex integration failures). Cross-Functional Leadership: Lead cross-functional “tiger teams” (involving Support, Engineering, PSE, SRE) to resolve critical, high-impact customer incidents. Formal Training: Design, document, and deliver formal technical training programs and certification materials for the entire global support team. Proactive Analysis: Proactively analyze product architecture and support data to identify and advocate for long-term solutions, preventing entire classes of problems. Liaison to Engineering: Represent the entire support organization in product roadmap, architectural review, acting as the “voice of the customer” and “voice of support.” Identify and submit 3 strategic product/platform improvements based on root cause analysis, with at least 1 being accepted onto the official product roadmap. Set the technical standard for the entire support organization - 90%+ of tickets (PBLOGs, CETRIs, PSEs) to be high quality - clear & complete details of analysis, troubleshooting, facts, steps taken so far. Ideate, develop, and roll out new diagnostic tools and troubleshooting guides. Act as the primary technical lead for 100% of P0 (highest-level) incidents, driving resolution and authoring the official RCA. Decrease the average resolution time for P0 incidents by 25%. Lead 100% of weekly/bi-weekly/monthly status calls with Customers. Qualifications & Experience5-7+ years of experience in technical support, DevOps, or software engineering. Expert-level knowledge of the product's architecture, database structure, and underlying technologies (e.g., cloud platforms, containerization). Experience with code-level debugging (e.g., reading stack traces, writing scripts to test or fix issues). Proven ability to lead complex, cross-functional projects from inception to completion. Exceptional communication and influence skills, with the ability to present technical concepts to senior leadership.

Responsibilities Assist the Senior Enablement Specialist with delivering training Troubleshoot issues on training Sandbox and raise necessary ticketsWork on creating assignments for learnersShadow the Senior Enablement Specialist on virtual sessionsIdentify and understand the unique enablement, training and certificationWork with subject matter experts across multiple functions such as Architects, and Skill Developers to help build training environments that reflect real work scenariosResponsible for maintenance of training instances of the product/platformWork with subject matter experts and instructional designers to develop Use cases, product simulations and training data requiredQualifications & ExperienceBachelor’s Degree in Computer Science or IT Excellent communication and presentation skills Experience working with SQL Familiarity with workflows in programming concept

Responsibilities: Work on live projects with the development team Assist in coding, testing, and debugging Learn and implement industry best practices Collaborate with senior developersQualification & ExperienceAndroid Intern: Basic knowledge of Android Studio, Flutter Freshers / Passout candidates are welcome.

Responsibilities: Design, develop, and maintain scalable backend services Build and integrate RESTful APIs Optimize database performance and queries Ensure application security and data integrity Work closely with frontend and product teamsQualification & ExperienceBackend Developer (Node.js / Express.js / PostgreSQL) Node.js & Express.jsPostgreSQL RESTful API development Git / Version Control

Responsibilities: Work on live projects with the development team Assist in coding, testing, and debugging Learn and implement industry best practices Collaborate with senior developersQualification & ExperiencePHP Intern: Basic knowledge of PHP, MySQL, HTML, CSS, JavaScript, jQuery A Freshers / Passout candidates are welcome.

Responsibilities Design and development of systems for the maintenance of the Azure Databricks, ETL processes, business intelligence, and data ingestion pipelines for AI/ML use cases. Build, scale, and optimize GenAI and ML workloads across Databricks and other production environments, with strong attention to cost-efficiency, compliance, and robustness. Build ML pipelines to train, serve, and monitor reinforcement learning or supervised learning models using Databricks and MLflow. Create and support ETL pipelines and table schemas to facilitate the integration of new and existing data sources into the Lakehouse on Databricks. Maintain data governance and data privacy standards. Collaborate with data architects, data scientists, analysts, and other business consumers to quickly and thoroughly analyze business requirements to populate the data warehouse, optimized for reporting and analytics. Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Maintain technical documentation and mentor junior data engineers on best practices in data engineering and Lakehouse architecture. Drive innovation and contribute to the development of cutting-edge Generative AI and analytical capabilities for the Next-Gen research enablement platform.Qualification & Experience7+ years of related experience with a bachelor’s degree. Proven experience designing and deploying applications using Generative AI and large language models (e.g., GPT4, Claude, open-weight large language models (LLMs)). Understanding of retrieval-augmented generation, embeddings-based search, agent orchestration, or prompt chaining. Familiarity with modern LLM/GenAI tools such as LangChain, LlamaIndex, HuggingFace Transformers, Semantic Kernel, or LangGraph. Advanced knowledge of SQL and experience working with relational and NoSQL databases, query authoring (SQL), as well as working familiarity with a variety of databases (e.g., SQL Server). Experience building and optimizing data pipelines on Azure Databricks. In-depth knowledge of data engineering, machine learning, data warehousing, and Delta Lake on Databricks. Strong knowledge of Spark and Python. A successful history of manipulating, processing, and extracting value from large, disconnected datasets. Excellent skills in stakeholder management and communication, enabling effective communication across global teams. Familiarity with Fivetran.Familiarity with BI tools like Power BI, etc. Understanding building and deploying ML and feature engineering pipelines to production using MLflow. Experience with building a data pipeline from various business applications like Salesforce, NetSuite, etc. Knowledge of message queuing, stream processing, and highly scalable data stores. Experience working in a compliance-based environment, including building and deploying compliant software solutions throughout the software life cycle. Familiarity with cloud-based AI/ML services and Generative AI tools.