AI Systems Architect Jobs in Pune

Full-Stack Developer Experience: 2 3 Years Education: BSc, BTech/BE, BCA, MTech, MCA Location: Pune About the Role We are looking for a talented Full-Stack Developer with hands-on experience in both frontend and backend technologies. The ideal candidate is skilled in building scalable, maintainable, and high-performance web applications, working across frameworks like NestJS, ExpressJS, LoopBack, and ReactJS, while adhering to industry best practices. Required Skills Backend: NestJS, ExpressJS, LoopBack Frontend: ReactJS Database: SQL (PostgreSQL, MySQL) Good to Have Angular AWS or other cloud platforms PostgreSQL advanced features Knowledge of CI/CD pipelines Key Responsibilities Lead end-to-end product development, ensuring smooth integration and optimal performance for both frontend and backend systems. Architect and design robust, scalable solutions during project planning, aligning technical strategies with business goals. Set up and configure projects from scratch, establishing a strong foundation for frontend and backend frameworks. Deploy and manage applications on cloud platforms such as AWS, Azure, GCP, or Digital Ocean, ensuring reliability, scalability, and security. Mentor and guide team members, fostering technical growth and knowledge sharing. Explore and adopt emerging technologies to meet evolving product requirements and drive innovation. Collaborate with cross-functional teams, contributing to effective communication, critical thinking, and strategic decision-making. Requirements 2+ years of experience in backend development using NestJS, ExpressJS, or LoopBack. 2+ years of experience with frontend development using ReactJS. Strong experience with relational databases like PostgreSQL or MySQL. Experience deploying and managing applications on cloud platforms (AWS, Azure, GCP, Digital Ocean). Skilled at writing clean, maintainable, and efficient code while balancing business priorities. Excellent communication skills and a collaborative mindset. Familiarity with project management tools like JIRA and version control systems like Git. Good to Have Skills Knowledge of other backend frameworks such as Django, Flask, or Spring Boot. Understanding of AI and Machine Learning concepts. Hands-on experience with CI/CD tools for streamlined development and deployment. Familiarity with testing and automation frameworks to ensure software reliability. Qualification : BSc, BTech/BE, BCA, MTech, MCA

Salesforce Developer Location: Pune | Employment Type: Full-Time About Redaptive Redaptive helps large companies modernize infrastructure with no upfront capital through Infrastructure Monetization. Headquartered in Denver, we operate across 12,000+ sites globally, fostering a culture of sustainability, innovation, and operational excellence. Position Summary Redaptive is seeking an experienced Salesforce Developer to enhance and optimize our Salesforce ecosystem. This role involves building solutions across multiple clouds, integrating external systems, and leveraging AI and automation to drive business growth and operational efficiency. Key Responsibilities Salesforce Development & Configuration Design and maintain customizations using Apex, Lightning Web Components (LWC), and Aura Components. Build declarative solutions using Salesforce Flows, validation rules, and page layouts. Support diverse business processes across Sales, Service, and Experience Clouds. Integration & System Support Integrate Salesforce with external systems via REST/SOAP APIs or middleware. Manage version control and CI/CD activities using tools like Git and Copado. Maintain data quality, migration, and the integrity of the sharing and security model. Business Collaboration & Delivery Gather requirements and deliver solutions in an Agile/Scrum environment using Jira. Conduct code reviews and ensure rigorous unit test coverage and quality assurance. Stay current with emerging Salesforce features, including Einstein AI and advanced automation. Required Skills & Qualifications Experience: 5+ years of Salesforce development (Apex, LWC, SOQL/SOSL, Triggers). Architecture: Deep understanding of Salesforce architecture and governor limits. DevOps: Familiarity with Git, Copado, and sandbox management. Certification: Salesforce Platform Developer I is required. Education: Bachelor s degree in Computer Science, IT, or a related technical field. Preferred Skills Certifications: Platform Developer II and JavaScript Developer I. Cloud Expertise: Experience with CPQ, Data Cloud, or Einstein Analytics. Middleware: Knowledge of MuleSoft or Workato. Perks & Benefits Financial: Competitive pay, performance bonuses, and equity participation. Flexibility: Hybrid work model and generous paid time off. Wellbeing: Comprehensive health insurance and Employee Assistance Program. Redaptive Extras: Creative workspaces and snack-stocked pantries. Qualification : Bachelors degree in Computer Science, IT, or a related technical field

Job Title: Java Architect Integration Engineering Location: Pune Team: Integration Engineering About Anchanto Anchanto is a global SaaS technology company that powers eCommerce automation and logistics solutions for enterprises and 3PLs. Our Integration Engineering team develops scalable, high-performance integrations connecting our products with marketplaces, ERPs, WMS, OMS, and other enterprise systems across the globe. We are looking for a seasoned Java Architect to lead the design, development, and delivery of our integration framework, guide engineering best practices, and define the technical vision for integrations that serve businesses worldwide. As a key driver of innovation, you will also champion the adoption of AI tools to enhance productivity, code quality, and development processes. The Role As a Java Architect Integration Engineering, you will: Define integration architecture standards, design patterns, and development best practices to ensure scalable and robust solutions. Lead the end-to-end design and development of integrations with a variety of internal and external systems, utilizing Spring Boot and modern Java frameworks. Collaborate closely with customers to understand their integration requirements, business processes, and objectives. Work with the solution team to document and finalize integration designs, architecture, and data mappings. Champion AI-driven development practices by integrating tools like Cursor AI and other AI-assisted coding solutions into the team s workflow. Partner with Product Management, Pre-Sales, and Implementation teams to translate business needs into actionable technical designs. Guide and mentor engineers, fostering a culture of technical excellence, innovation, and AI adoption within the integration team. Play a hands-on role in building Proof-of-Concepts (POCs), solving complex integration challenges, and driving mission-critical deliveries. Collaborate with leadership to define the roadmap for integration products and platform capabilities. Key Responsibilities Architect and oversee the implementation of integration solutions, leveraging Spring Boot, REST APIs, messaging systems, and event-driven architectures. Define and enforce integration design patterns (e.g., EAI, ESB, SOA, pub/sub, ETL) to ensure reusability, scalability, and maintainability. Lead technical discovery sessions with customers to understand integration requirements and create clear, actionable solution blueprints. Collaborate with internal solution architects, product managers, and customer success teams to ensure integration feasibility and alignment with business objectives. Introduce and evaluate AI-powered development tools, integrating solutions like Cursor AI, GitHub Copilot, and others into the engineering process to improve efficiency, code quality, and documentation. Promote a culture of AI-first problem solving in architecture design, code reviews, and automation within the team. Establish frameworks and automation to accelerate the onboarding of new integrations. Evaluate and recommend technologies, tools, and cloud services (primarily AWS) to optimize integration performance and scalability. Review solution designs and code to ensure adherence to architectural principles and coding standards. Support pre-sales activities with architecture diagrams, integration approaches, and technical feasibility assessments. Lead technical discussions with external partners, vendors, and enterprise customers to ensure alignment on integration strategies and solutions. Required Skills & Experience 15+ years of software development experience, with at least 3+ years as an Architect. Strong hands-on expertise in Java (Java 8+), Spring Boot, and microservices architecture. Solid understanding of integration patterns, enterprise architecture, and middleware solutions. Experience with REST APIs, messaging systems (Kafka, RabbitMQ), and data transformation (e.g., JSON, XML, CSV). Proficiency with AWS cloud services relevant to integration, such as API Gateway, Lambda, SQS/SNS, ECS, RDS, etc. Familiarity with CI/CD pipelines, Git workflows, branching/merging strategies, and code quality tools. Linux proficiency and experience with shell scripting. Experience building connectors/adapters for ERP, WMS, OMS, CRM, or eCommerce platforms is a plus. Exposure to integration tools such as TIBCO, Informatica, SnapLogic, WebMethods, or MuleSoft is advantageous. Strong problem-solving skills, with the ability to think out-of-the-box and adapt to evolving priorities. Excellent communication and leadership skills, with the ability to influence teams across functions. Bonus / Good to Have Experience in AI-assisted development, especially using tools like Cursor AI, GitHub Copilot, Tabnine, or similar. Familiarity with prompt engineering and integrating AI APIs (e.g., OpenAI, Anthropic) into developer tooling or backend services. Understanding of ML Ops principles and how AI models can be integrated into enterprise applications. A proven track record of evangelizing AI adoption in engineering teams to enhance productivity and foster innovation. Work on global integration projects for a leading SaaS platform serving top-tier retailers, brands, and logistics companies. Lead impactful projects utilizing cutting-edge Java, Spring Boot, AWS, and AI-driven development tools. Collaborate with a globally distributed product and engineering team in an innovation-driven environment. Contribute to the future of Anchanto s integration platform, shaping scalable and robust solutions for enterprises worldwide.

AI Platform Engineer II Location: Pune Overview At Rapid7, we are looking for an AI Platform Engineer to help us build production-ready, agent-based AI experiences on Google Cloud (Vertex AI) and OpenAI platforms. You will be directly responsible for developing and shipping features such as AI agents, tools, and lightweight UIs that plug into our internal systems and data, driving productivity improvements across the company. As part of the AI Platform team, you will be involved in designing, implementing, and refining AI models and tools that integrate seamlessly with enterprise systems, while ensuring reliability, security, and scalability. Key Responsibilities Agentic Development with Vertex AI: Design and implement multi-step agents using Vertex AI (Agent Builder / Gemini), incorporating agent behaviors such as tool use, memory, and evaluation loops to create intelligent, autonomous workflows. MCP & Tool Integrations: Develop Model Context Protocol (MCP) connectors and API integrations that enable agents to interact with enterprise systems while maintaining least-privilege access and security standards. RAG & Data Grounding: Implement retrieval-augmented generation (RAG), utilizing vector stores, embeddings, and schema-aware prompts, while ensuring agents produce accurate and auditable outputs through robust guardrails. Vertex-based UI for Agents: Prototype intuitive chat interfaces and task UIs, including features like session history, tool invocation panels, and feedback widgets. Embed AI agents into existing internal applications to streamline workflows and improve user experience. Integration & Data Access: Connect AI agents to internal APIs and enterprise data sources (e.g., BigQuery, REST APIs, webhooks) using Google Cloud tools, ensuring smooth data access and system integration. Quality & Telemetry: Define key performance indicators (KPIs) such as quality, latency, and cost-efficiency for AI-powered features. Implement logging, monitoring, and observability to track performance and run structured experiments to improve agent behavior and outcomes. Requirements Experience 2 3 years of hands-on experience in software or AI application engineering, with a focus on creating and deploying custom AI agents, particularly using Gemini / Vertex AI Agent Builder. Technical Skills Proficiency with Google Cloud (Vertex AI, BigQuery, Cloud Run/Functions) and at least one large language model (LLM) API (e.g., OpenAI or Gemini). Experience building small end-to-end features, including backend APIs, agent logic, and basic UI for demos and production environments. Familiarity with agent frameworks such as LangGraph or LangChain, and common agent patterns like tool use, planning, and memory management. Knowledge of retrieval-augmented generation (RAG), including chunking, embeddings, and retrieval, along with prompt testing and evaluation. Collaboration Skills Ability to work cross-functionally with security, data, and application teams to ensure safe and efficient deployment of AI-driven solutions. Nice to Have Experience with GCP IAM, secrets management, and enterprise compliance considerations. Familiarity with Vertex AI Search, vector databases, or event/webhook architectures. Interest in emerging AI standards, MCP, responsible AI practices, and optimization for cost/performance. About Rapid7 At Rapid7, we are on a mission to create a secure digital world for our customers, industry, and communities. We empower our employees to challenge the status quo and drive transformative change. With over 11,000 customers relying on us for cybersecurity protection, we continue to innovate and solve some of the most challenging problems in the industry. Security and Compliance Rapid7 is committed to safeguarding our customers' security. All employees uphold the highest standards of security and privacy, ensuring sensitive information is protected and compliance with relevant regulations is maintained.

Principal AI Engineer - MLOps Location: Pune Overview Rapid7 is seeking a **Principal AI Engineer - MLOps** to drive the development and deployment of **scalable, production-grade AI/ML systems** in the field of cybersecurity. This role is within the **AI Center of Excellence team** and involves managing the **end-to-end design of ML production systems** from scoping and data requirements to continuous deployment and monitoring. You will play a pivotal role in mentoring junior engineers and shaping the **MLOps culture**. Key Technologies Used **Cloud/Infrastructure:** AWS (research environments, data hosting), **EKS** (Kubernetes), **Terraform** (Infrastructure as Code). **Modeling/Data:** **Python** (numpy, pandas, scikit-learn), Jupyter notebooks, Anomaly detection methods. Key Responsibilities End-to-End ML Production System Design: **Architect and manage the design and deployment** of ML systems from inception to production. Define project scopes, data requirements, modeling strategies, and **deployment pipelines** for AI/ML systems. Ensure **seamless integration** of models and AI components into the production environment, focusing on **scalability, reliability, and security**. Data Pipeline Management: **Develop and maintain data pipelines**, ensuring data consistency, integrity, and accessibility throughout the ML lifecycle. Oversee the data lifecycle, including **data preprocessing, feature engineering**, and storage. ML Guardrails & Monitoring: Implement **robust ML guardrails** to ensure model performance, fairness, and compliance. Manage the **monitoring and observability** of deployed models, ensuring timely and accurate tracking of model performance. Deployment & Service Monitoring: Develop and deploy accessible endpoints, including **web applications and REST APIs**, adhering to security best practices. Continuously monitor models and data to detect issues such as **drift, anomalies, or performance degradation**. Collaboration & Mentorship: Collaborate closely with engineering, data science, and product teams to ensure alignment on goals. **Mentor and guide junior engineers**, share knowledge, and promote best practices in MLOps. Agile Development & Iteration: Embrace **agile practices**, focusing on continuous iteration and solving complex challenges. Skills & Experience Core Technical Expertise **Extensive Software Engineering Experience:** 15+ years as a software engineer, with at least **3-5 years of expertise in MLOps** in AWS environments. **MLOps & DevOps:** Proven experience deploying **scalable AI/ML systems**, managing **CI/CD pipelines**, and utilizing cloud AI resources. Expertise with **Docker, Kubernetes, and cloud-based AI infrastructure management**. **Programming:** Strong proficiency in **Python** (Flask or FastAPI) and experience building APIs. Data & Modeling Skills Experience in designing **data pipelines** and performing **feature engineering**. Familiarity with **model risk management** strategies, including **concept drift monitoring** and hyperparameter tuning. Leadership & Communication Demonstrated ability to **collaborate across engineering, data science, and product teams**. Proven track record of **mentoring and guiding junior engineers**. Strong communication skills for conveying complex technical concepts and creating detailed system architecture documentation. Nice to Have Experience deploying resources that enable data scientists to fine-tune and experiment with **LLMs (Large Language Models)**. Understanding of AI/ML operational frameworks and associated challenges. Be a part of **cutting-edge AI/ML efforts** to strengthen cybersecurity. Mentor and grow the next generation of engineers in an inclusive, fast-paced environment. Tackle some of the most challenging security problems with a passionate and creative team.

Technical Lead Software Engineering Location: Pune Employment Type: Full-Time About Calfus At Calfus, we build cutting-edge AI agents and enterprise software solutions that revolutionize how businesses operate. From cloud-based ERP integrations to AI-powered systems, we help startups and enterprises unlock their true potential. Our global team is made up of passionate, driven professionals who thrive on innovation and collaboration. As one of the fastest-growing players in the AI and software engineering space, we offer an exciting, high-energy work environment where your ideas are always welcome. About the Role We are looking for a Technical Lead Software Engineering (System Architecture & Design) to lead the design, development, and support of critical enterprise applications for manufacturing, shipping, and logistics. You ll play a hands-on leadership role, guiding development efforts, solving complex problems, and mentoring a team of engineers. Key Responsibilities System Architecture & Support: Manage and enhance enterprise applications used in manufacturing, shipping, and receiving. Development & Enhancements: Design, develop, test, and deploy scalable new features using Microsoft technologies. Issue Resolution: Troubleshoot and resolve complex system issues, ensuring high availability and reliability. Cross-Functional Collaboration: Work closely with internal teams to understand business needs and translate them into technical solutions. Performance Optimization: Ensure applications are performant, scalable, and secure. Documentation: Maintain accurate technical documentation, workflows, and design specs. End-User Training & Support: Provide user support and training to ensure effective adoption of new features. Mentorship: Guide junior engineers on best practices in architecture, development, and problem-solving. What You ll Need on Day One Bachelor s degree in Computer Science, IT, or related field. 5+ years of hands-on experience in software development and application support. Strong command of Microsoft technologies, especially VB.Net or C#. Proficient in SQL Server including writing complex queries, stored procedures, and data modeling. Excellent analytical and problem-solving skills. Strong communication and team collaboration abilities. Bonus Points If You Have Experience with VB (Visual Basic). Familiarity with SSIS and Entity Framework. Experience developing applications interfacing with PLC frameworks or industrial equipment. Knowledge of Jira and Confluence for agile workflows and documentation. Employee Benefits Comprehensive medical, group, and parental insurance. Gratuity and Provident Fund contributions. Wellness support and birthday leave. A culture of innovation, speed, and collaboration. Diversity & Inclusion At Calfus, we are proud to be an Equal Opportunity Employer. We value diversity and are committed to building an inclusive environment where everyone, regardless of background or identity, can thrive. Apply now and join our team in transforming businesses through technology. Qualification : Bachelors degree in Computer Science, IT, or related field

Technical Project Manager-II Location: Pune Employment Type: Full-Time About Calfus At Calfus, we deliver innovative AI agents and enterprise solutions that transform businesses in unimaginable ways. Our software engineering and ERP teams empower startups and enterprises to harness AI s full potential, automate complex workflows, and drive revenue growth. We pride ourselves on a culture of innovation, speed, and collaboration. As one of the fastest-growing companies in the AI space, we seek talented professionals who are passionate, driven, and ready to make an impact. About the Role As a Technical Project Manager-II, you will lead the successful delivery of complex technical projects from conception through deployment. Your role includes managing cross-functional teams, defining project scopes, creating timelines, allocating resources, and ensuring projects meet customer requirements on time and within budget. You will bridge communication between technical teams and stakeholders, proactively resolving issues to keep projects on track. Key Responsibilities Lead end-to-end delivery of GenAI/LLM-based software solutions across diverse business functions. Understand customer needs, translate them into technical requirements, and negotiate priorities. Build and nurture a strong engineering culture focused on respect, empathy, and best practices. Collaborate with principal engineers across Calfus locations to develop best-in-class products. Manage project scope, timelines, resources, and risks to ensure timely delivery. Facilitate communication between stakeholders and technical teams. Support engineering teams by addressing challenges and helping unblock technical issues. Apply Agile, Scrum, or other development methodologies effectively. Utilize project management and development tools (Jira, Git, Jenkins, Docker, etc.). Leverage cloud technologies (AWS, Azure) and understand system architectures. What We Expect From You 6+ years of relevant project management experience, with 5+ years in technical or IT environments. Proven success managing complex, multi-team software projects, especially involving AI/ML or GenAI/LLM solutions. Strong programming knowledge in one or more: Node.js, Java, Python, React.js, Angular. Deep understanding of software development life cycles and methodologies (Agile, Scrum, Waterfall). Experience with cloud architectures and deployment pipelines (DevOps, CI/CD). Excellent communication skills to engage technical and non-technical stakeholders. Ability to drive decision-making based on data and insights. Proficient with project management tools like Jira, MS Project, Asana, etc. Bonus Skills Certifications such as PMP, ScrumMaster or equivalent. Hands-on experience with DevOps and continuous integration/deployment practices. Familiarity with data pipelines from ingestion to dashboards is a plus. Benefits Comprehensive medical, group, and parental insurance. Gratuity and provident fund contributions. Wellness programs and birthday leave. Inclusive, fast-paced culture that values innovation and diversity. Equal Opportunity Statement Calfus Inc. is committed to creating an inclusive workplace where everyone regardless of background, identity, or experience has the opportunity to thrive. We celebrate diversity and encourage all qualified candidates to apply.

Presales Manager - Software Engineering Location: Pune Employment Type: Full-Time About Calfus At Calfus, we deliver cutting-edge AI agents and products that transform businesses in ways previously unimaginable. Our teams empower organizations from startups to established enterprises to harness AI s full potential, driving revenue growth and operational excellence. Our ERP solutions integrate seamlessly with core business systems, automating manual tasks and enabling teams to focus on strategic initiatives. We pride ourselves on innovation, speed, and collaboration, fueling our rapid growth and industry leadership. About the Role As a Software Engineering Presales Manager, you will be a critical link between our technical teams and potential clients. You ll lead technical engagements, crafting and delivering compelling proof of concept demos, ensuring solutions align with client needs and industry best practices. Your expertise in AWS, Azure, DevOps, and full-stack development, combined with exceptional communication skills, will help articulate the value of Calfus products and drive successful sales closures. Key Responsibilities Develop and deliver tailored proof of concept demonstrations that showcase solution capabilities. Ensure proposed solutions meet client requirements and adhere to best practices outlined in Statements of Work. Manage sales bid processes by responding to RFIs and RFPs with technical precision. Collaborate closely with Sales teams to drive deals through to successful closure. Partner with Product Managers to relay client feedback and shape future product enhancements. Monitor market trends, competitor landscapes, and adjust sales strategies accordingly. Understand customer needs deeply and deliver persuasive sales presentations. Coordinate with marketing for demand-generation activities such as trade shows and workshops. Build and maintain long-term customer relationships. Prepare detailed sales proposals and occasionally train sales team members on technical aspects. What We Expect From You Degree in Computer Science, Engineering, or a related technical field; management degree from a premier institution is a plus. 8-12 years of presales experience in the IT industry, preferably with software engineering solutions. Strong problem-solving and prioritization capabilities. Excellent presentation and communication skills, adept at engaging multiple stakeholders. Ability to work flexibly across time zones. Willingness to travel on short notice. Reporting You will report directly to the President and Chief Revenue Officer. Benefits At Calfus, we offer a comprehensive benefits package including medical, group, and parental insurance, gratuity, provident fund, wellness programs, and birthday leave because we value our employees and their well-being. Equal Opportunity Employer Calfus is committed to fostering an inclusive workplace that celebrates diversity and innovation. We welcome applicants from all backgrounds, identities, and experiences. Qualification : Degree in Computer Science, Engineering, or a related technical field

Data Engineer BI Analytics & DWH Location: Pune About Calfus At Calfus, we develop cutting-edge AI agents and software products that enable businesses to unlock the full potential of AI transforming operations, boosting revenue, and driving innovation. From startups to global enterprises, our clients trust us to deliver engineering excellence. Our teams have built ERP and cloud solutions that integrate seamlessly with core business systems, streamlining manual processes and empowering teams to focus on high-impact work. As one of the fastest-growing companies in our sector, we thrive on collaboration, speed, and innovation. If you re driven by impact and love working in fast-paced environments, we want to hear from you. About the Role We re looking for a Data Engineer with 3 4 years of experience to join our Business Intelligence & Data Warehouse team. In this role, you'll be responsible for building robust data pipelines, designing scalable data models, and supporting analytics and reporting capabilities. You will work with modern tools like Azure Data Factory, Databricks, and Snowflake, and help deliver reliable, performant data infrastructure for internal and client-facing initiatives. What You ll Do ETL/ELT Development Build and maintain efficient ETL/ELT pipelines using Azure Data Factory, Databricks, or equivalent. Ingest and consolidate data from multiple sources into data warehouses or data lakes. Data Modeling & Warehousing Design and implement relational and dimensional models suited for business reporting. Work with databases such as Snowflake, Redshift, Postgres, or SQL Server. SQL & Database Engineering Write performant SQL queries, stored procedures, and scripts for data transformation. Implement complex joins and aggregations for analytical workloads. BI & Visualization Support Collaborate with business users to support reporting in Power BI or Tableau. Enable data-driven decisions through accessible and accurate data models. Performance & Data Quality Monitor pipeline jobs for failures, performance issues, and delays. Apply data validation checks to ensure the integrity and accuracy of data. Bachelor s degree in Computer Science, Data Engineering, Information Systems, or related field. 3 4 years of hands-on experience in data engineering, with strong skills in ETL/ELT, SQL, and data modeling. Experience with cloud platforms (Azure, AWS) and tools like: Azure Data Factory Databricks SQL Server, Postgres, Redshift, or Snowflake Basic understanding of Python for scripting and automation. Familiarity with file formats like JSON, Parquet, and CSV. Exposure to BI tools such as Tableau or Power BI (nice to have). Benefits @ Calfus Medical, group, and parental insurance Provident fund & gratuity Birthday leave and wellness support High-growth, high-impact environment Diversity & Inclusion Calfus is proud to be an Equal Opportunity Employer. We believe that diversity drives innovation, and we are committed to fostering an inclusive, supportive, and respectful environment for all. Qualification : Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field

Data Engineering Lead BI Analytics & DWH Location: Pune About Calfus At Calfus, we build groundbreaking AI agents and enterprise software that are redefining what s possible for businesses. Whether it's automating workflows, integrating ERP systems, or deploying AI-powered solutions, we help companies scale smarter and faster. Our engineering and data teams are at the core of this innovation designing and delivering high-performance solutions that unlock massive business value. As we grow rapidly, we re looking for driven individuals ready to make a meaningful impact. About the Role We re hiring a Data Engineering Lead to own and drive our BI Analytics & Data Warehousing strategy. You'll lead the architecture, development, and optimization of data pipelines, models, and interactive dashboards that power strategic insights across the business. You ll work hands-on with ETL tools, SQL, Power BI, Tableau, Python, and cloud platforms like Azure and AWS while mentoring junior engineers and collaborating with cross-functional stakeholders. What You ll Do Data Architecture & Modeling Design and implement scalable data models that support self-service BI and analytical reporting. Manage data modeling across structured, semi-structured, and cloud-native data sources. ETL/ELT & Integration Oversee ETL processes using SSIS, Airflow, or equivalent tools for seamless data movement. Handle complex data transformation using SQL Server, Postgres, Snowflake, and Redshift. Visualization & Reporting Develop and lead dashboard/report design using Power BI, Tableau, QuickSight, Plotly, or Dash. Drive best practices in dashboard performance, UX, and storytelling with data. Advanced Data Engineering Use Python, PySpark, NumPy, and Pandas for data wrangling and exploratory analysis. Work with Azure Databricks, MongoDB, and cloud storage (S3, Azure Blob) to build robust pipelines. Automation & DevOps Orchestrate pipelines using Apache Airflow, and implement CI/CD for data engineering workflows. Manage version control and code quality across projects using Git-based workflows. Stakeholder Collaboration Partner with business leaders and analysts to translate requirements into scalable data solutions. Align technical delivery with strategic business goals and drive cross-functional data initiatives. Leadership & Mentorship Guide and mentor junior team members across data and BI functions. Foster a culture of innovation, ownership, and continuous learning. What You Bring Bachelor s in Computer Science, Information Systems, Data Engineering, or related field. 6 12 years of experience in BI architecture, data engineering, and analytics. Deep expertise in: ETL tools: SSIS, Airflow Databases: SQL Server, Snowflake, Postgres, Redshift, MongoDB BI Tools: Power BI, Tableau, QuickSight, Plotly/Dash Python for data analysis, automation, and pipeline development Cloud Platforms: Azure, AWS (S3, Lambda, Databricks) Strong SQL and data modeling skills (relational and dimensional). Familiarity with CRISP-DM, data governance practices, and performance tuning. Bonus Points If You Have Experience working with Azure SDK. Ability to work with REST APIs and perform web scraping. BI architecture design and deployment at scale. Growth-driven culture with clear career paths. Work on industry-defining AI and enterprise products. Exposure to diverse clients, industries, and technologies. Strong focus on wellness, flexibility, and learning. Benefits Medical, group, and parental insurance Provident fund & gratuity Birthday leave & employee wellness programs Highly collaborative and innovative work environment Diversity & Inclusion Calfus is an Equal Opportunity Employer. We believe that diversity fuels innovation. We re committed to creating a welcoming and inclusive workplace for everyone regardless of race, gender, age, background, or identity. Lead the future of data at Calfus. Apply now and help power decision-making through scalable, smart, and stunning data engineering solutions. Qualification : Bachelors in Computer Science Information Systems, Data Engineering, or related field

Job Title: Computer Vision Engineer Location: Pune Experience: 3+ years Job Overview We re looking for a passionate Computer Vision Engineer to join a fast-paced startup environment. In this role, you will research, develop, and maintain scalable computer vision and machine learning solutions that analyze video feeds from online sessions, detecting anomalies and enhancing user experience. Required Skills & Qualifications BS/MS in Computer Science or equivalent, with 3+ years of industry and/or research experience in AI, Computer Vision, Machine Learning, Image Processing, or Computer Graphics. Proficient in C/C++ and Python, with solid experience working in a Linux environment. Hands-on experience with libraries and frameworks such as OpenCV, NumPy, SciPy, Scikit-learn, etc. Ability to clearly communicate complex technical concepts to both technical and non-technical audiences. Familiarity with Git version control. Highly Desirable Expertise in image classification, segmentation, and autonomous feature learning. Strong foundation in linear algebra, optimization techniques, probability, and statistics. Experience in software architecture, API design, and seamless system integration. Background in parallel programming techniques. Practical experience with vision applications in real-world projects. Join us to innovate in the field of computer vision and help shape the future of intelligent video analysis. Apply today to be part of our dynamic team!

Designation: QA Automation Engineer Location: Pune Work Type: Full Time Experience Required: 6 8 Years About the Role At Cognologix, we empower clients to deploy cloud-native applications confidently through robust and intelligent test automation. As a QA Automation Engineer, you will design and implement automation frameworks for integration, end-to-end, and generative testing, ensuring performance, reliability, and quality across deployments. Key Responsibilities Collaborate with developers and architects to design and develop test automation scripts. Create reusable, modular, and multi-thread-safe automation code. Improve non-functional automation performance by parallelizing test executions. Conduct test planning, defect lifecycle management, traceability matrix mapping, and security/breaking testing. Validate GenAI features such as prompt/response behavior, hallucination checks, and content moderation. Use GenAI tools (e.g., Copilot, Codium) to refactor, document, and enhance automation frameworks. Required Skills Solid experience testing microservice-oriented and cloud-native applications. Proficiency with tools such as HTTP, Curl, Postman, Fiddler, Swagger. Strong programming skills in Java, Python, or C#. Working knowledge of Linux systems and shell scripting. Expertise in test automation frameworks (e.g., JUnit, TestNG). Hands-on experience with UI testing using Selenium or similar tools. Exposure to CI/CD tools like Jenkins, GitLab CI. Ability to test AI-driven features and integrate AI tools into test processes. Preferred Skills (Good to Have) Experience with GenAI-enabled testing tools or platforms. Familiarity with fairness, bias, and explainability issues in GenAI testing. Big Data migration validation and reporting experience. Performance testing (load, stress, spike) using JMeter or Gatling. Experience in Security, Resilience, or Disaster Recovery Testing. Strong ability to validate GenAI outputs in automation pipelines. Higher degree of autonomy, startup culture & small agile teams. Remote work flexibility based on maturity and performance. Exposure to emerging technologies and GenAI tools. Competitive salary & comprehensive family benefits. Performance-based career growth. About Cognologix Cognologix helps companies disrupt and innovate by reimagining business models through cutting-edge technology. We re a data- and automation-driven organization at the forefront of digital transformation, empowering clients to confidently deliver their next-generation products.

Job Title: Associate Solution Engineer Location: Pune, Maharashtra, India Travel: Occasional business travel may be required About BMC At BMC, trust is more than a value it s how we operate. We re an award-winning, inclusive, and vibrant workplace where diverse perspectives fuel innovation and growth. We believe in balancing life and work, celebrating wins (big and small), and giving back to the communities we serve. Your voice matters here, and your individuality is celebrated. We help our customers become Autonomous Digital Enterprises by enabling them to scale, innovate, and lead in the digital era. The Opportunity Join BMC Helix s Digital Solution Engineering team as an Associate Solution Engineer a role designed for emerging tech professionals who want to build a career at the intersection of technology, customer impact, and business value. Whether you're a recent graduate or have 1 3 years of experience, this is your opportunity to dive deep into enterprise platforms, AI innovation, and next-gen service management. About BMC Helix BMC Helix is our cutting-edge, AI-powered platform for IT Service and Operations Management (ITSM, ITOM, AIOps). With a containerized, microservices-based architecture, it supports flexible deployment across cloud, hybrid, and on-prem environments. BMC Helix empowers enterprises to go from reactive support to predictive, autonomous operations using advanced capabilities like Agentic AI and cross-domain automation. What You ll Do Work with global solution engineering and sales teams to support customer engagements and design compelling, tailored solutions. Participate in discovery sessions to understand client requirements and business objectives. Deliver engaging, value-driven demos that highlight BMC Helix s strengths like intelligent automation, Agentic AI, and seamless integrations. Assist in designing proof-of-value solutions, configurations, and presentations. Translate complex technical concepts like microservices, APIs, and hybrid deployments into clear, customer-centric value propositions. Collaborate with internal teams (Product, Strategy, Sales) to ensure alignment with customer needs and market trends. Stay current on emerging trends in GenAI, LLMs, ITSM, ITOM, and enterprise digital transformation. What You Bring Bachelor s degree in Computer Science, Information Technology, Engineering, or a related field. 0 3 years of experience in a technical, consulting, or customer-facing role. Excellent communication and presentation skills; able to engage both technical and business stakeholders. Interest or hands-on exposure to Generative AI and Large Language Models (LLMs). Foundational knowledge of cloud platforms (AWS, Azure, GCP), microservices, containers (Docker, Kubernetes). Curiosity for technology and enterprise IT challenges; proactive and eager to learn. Exposure to platforms like BMC Helix, ServiceNow, Jira Service Management, or similar is a plus. Basic scripting or API understanding (Python, JavaScript, REST APIs). Familiarity with ITIL, DevOps, or service management concepts. Fluent in English; multilingual proficiency (e.g., Spanish, French, German, Italian) is a bonus. Work with industry-leading platforms and AI technologies Be part of a collaborative, global team shaping the future of digital operations Learn from experienced mentors and participate in enablement programs Thrive in a culture that values your authenticity, creativity, and growth No problem. If you're passionate about this opportunity and BMC s mission, we still encourage you to apply. We value potential just as much as experience. BMC is proud to be an equal opportunity employer. Qualification : Bachelors degree in Computer Science, Information Technology, Engineering, or a related field.

Python Developer GenAI Edition Pune, Maharashtra | 4 8 Years Exp. | Full-time The Mission: We're looking for a Python dev who s not just good but GenAI good. If you re into writing clean, scalable code and pushing the boundaries with generative AI, you ll fit right in. You'll help design, develop, and ship AI-powered features that aren t just smart they're next level. What you ll be doing: Build Python-based backend systems with Django or Flask Create, test, and deploy AI-driven applications using GenAI models Design microservices, APIs, and automation tools Use Docker + CI/CD to streamline delivery Work hands-on with GCP or AWS Write unit tests like a QA ninja Collaborate with the team to push out powerful, real-world AI solutions Your Superpowers: 5+ years of Python dev experience Strong Django/Flask skills 1+ year working with Generative AI or related tech Solid understanding of cloud platforms (AWS/GCP) Docker + CI/CD workflow knowledge Clean coding + problem-solving mindset Nice-to-haves (bonus points): Experience with distributed systems Familiarity with ML pipelines or LLMs Love building automation platforms Own your builds, fix bugs, and help the team level up Communicate clearly, write well, and explain complex things simply Because we do cool stuff with cloud, DevOps, and AI and we do it at scale. You ll work on projects that actually matter, with teammates who know how to get things done (and have fun doing it). Perks you ll love: Learning budgets + skill growth paths Competitive salary based on your experience Friendly, high-trust team culture Flexible schedules & work-life balance Team outings, hackathons, and fun Fridays We re not bragging, but Great Place to Work (3 years running) India s Top 50 IT Workplaces GPTW Best Workplaces for Millennials 2023 ISO/IEC 27001 certified Top Developers Clutch Click apply and let s create something mind-blowing.

Solution Architect Location: Pune Experience: 10+ Years Job Type: Full-Time Profile Summary A highly skilled and experienced Solution Architect with over a decade in the IT service industry, specializing in designing and delivering comprehensive technical solutions across diverse domains. Expert in leading complex projects and aligning technology with business goals, leveraging cutting-edge technologies such as AI, cloud computing, and software development. Proven success in collaborating with cross-functional teams to architect scalable, secure, and efficient solutions for clients across healthcare, finance, real estate, and e-commerce sectors. Key Expertise Solution Design & Architecture: Architecting end-to-end scalable, high-performance, and secure solutions aligned with business objectives. Software Development: Expertise in full-stack development with React (frontend) and Python Django (backend), delivering enterprise-grade applications. AI Integration: Implementing AI-driven solutions including Generative AI, machine learning, and predictive analytics to automate processes and enhance decision-making. Cloud Architecture: Designing and deploying cloud solutions on AWS, Azure, and Google Cloud, with deep experience in migration, infrastructure design, and DevOps. Data Management & Analytics: Leveraging data management platforms and real-time analytics for business intelligence and audience targeting. Security & Compliance: Ensuring data security and regulatory compliance (HIPAA, GDPR) in solution designs. Experience Highlights AI and Generative AI Solutions Led design and implementation of AI-powered models for content generation, predictive analytics, and real-time decision-making in healthcare and finance. Integrated AI functionalities into business applications to improve operational efficiency and user experience. Cloud Solutions Design Architected cloud infrastructures optimizing cost, security, and performance across AWS, Azure, and Google Cloud. Directed cloud migrations and implemented cloud-native services including serverless computing, container orchestration (Docker, Kubernetes), and CI/CD pipelines. Full-Stack Software Development Led teams building scalable web applications using React and Python Django. Designed microservices and REST APIs ensuring seamless integration and optimized security. Data Management & Analytics Delivered data management platforms for audience segmentation in AdTech and e-commerce. Developed real-time bidding and programmatic advertising systems integrating advanced analytics. Telemedicine & Healthcare Solutions Designed secure, compliant telemedicine platforms integrating EHR systems, ensuring HIPAA and GDPR adherence. Developed patient data management systems focusing on security and regulatory compliance. Technical Skills Languages: JavaScript, Python, HTML/CSS, SQL, TypeScript Frameworks: React, Node.js, Django, Flask AI/ML: TensorFlow, PyTorch, GPT models, Generative AI, Predictive Analytics Cloud Platforms: AWS, Azure, Google Cloud, Docker, Kubernetes Data Management: PostgreSQL, MySQL, MongoDB, Data Lakes, DMPs Security: SSL, Firewalls, IAM, Data Encryption, HIPAA, GDPR compliance DevOps: Jenkins, Git, Docker, Kubernetes, CI/CD Pipelines Soft Skills Strong leadership and collaboration with cross-functional teams. Strategic thinker balancing innovation with business objectives. Excellent client engagement and communication. Problem-solving under tight deadlines with innovative solutions. Certifications AWS Certified Solutions Architect Certified Kubernetes Administrator (CKA) Certified in Generative AI Applications Microsoft Certified: Azure Solutions Architect Expert

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Job Title: Data Architect Cloud, Big Data & Scalable Data Engineering Location: Pune, India Experience Level: 7+ Years Job Type: Full-Time | On-site / Hybrid (Specify your policy) Job Summary We are seeking a visionary Data Architect based in Pune to lead our data engineering practice within product engineering services. This strategic role involves shaping the organization's data architecture, defining best practices for data lakes and data warehouses, and guiding architectural decisions across data engineering initiatives. If you're passionate about building cloud-based, future-ready data platforms using tools like Databricks, Snowflake, AWS, Azure, and Google BigQuery, this is your opportunity to make a significant impact. Key Responsibilities Design and implement enterprise-wide data architecture strategies, including data modeling, data governance, and integration frameworks. Lead the development of scalable data lakes, data warehouses, and data marts, especially using Databricks and medallion architecture. Build and optimize robust ETL/ELT data pipelines and real-time streaming solutions. Collaborate with security teams to implement strong data security and compliance practices, including GDPR and CCPA regulations. Standardize data governance policies and drive data quality across platforms and business units. Work closely with data engineers to implement high-performance cloud-native storage solutions using Azure ADLS Gen2, AWS S3, etc. Evaluate and introduce innovative data platforms, tools, and frameworks to enhance engineering capabilities. Provide technical leadership and mentorship to engineering teams across all data initiatives. Translate business data needs into technical architectures and create detailed documentation (e.g., ERDs, data flow diagrams, integration maps). Required Qualifications Bachelor s or Master s degree in Computer Science, Information Systems, or a related field. 7+ years of experience in data architecture, data engineering, or enterprise data solutions. Strong command of data modeling techniques (e.g., dimensional, data vault). Experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Hands-on expertise with Databricks, Snowflake, Amazon Redshift, or Google BigQuery. Knowledge of cloud platforms such as AWS, Azure, or GCP and their data ecosystems. Proficiency in SQL and at least one programming language (Python, Java, Scala). Familiarity with ETL/ELT tools, data pipeline orchestration (e.g., Airflow), and real-time streaming (e.g., Kafka, Flink). Solid understanding of data security, compliance, and data governance frameworks. Experience with Power BI, Tableau, or similar tools from an architectural standpoint. Preferred Qualifications Exposure to machine learning architectures and MLOps pipelines. Understanding of graph databases (e.g., Neo4j) and semantic data layers. Familiarity with data mesh, data fabric, and modern data management paradigms. Hands-on experience with real-time data streaming frameworks like Apache Flink, Kafka, or Spark Streaming. Be a key architect in shaping enterprise-wide data strategies and infrastructure. Collaborate with top-tier engineers and data scientists in India s growing tech hub. Access the latest cloud, AI, and big data tools and work on high-impact, global projects. Thrive in a culture that encourages innovation, ownership, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Information Systems, or a related field.

Senior Software Developer | ThoughtWorks | Pune, India Location: Pune, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks ThoughtWorks is a global technology consultancy that integrates strategy, design, and engineering to create digital solutions that drive transformation. With over 30 years of experience, our diverse teams are dedicated to solving complex business problems using technology as a differentiator. At ThoughtWorks, we encourage continuous learning, collaboration, and innovation providing an environment where curiosity and passion thrive. Join us and make an impact through cutting-edge technology, a culture of growth, and the opportunity to work with like-minded peers. Job Overview We are seeking a highly skilled and experienced Senior Software Developer to join our team in Pune, India. In this role, you will collaborate with Business and Quality Analysts, Designers, and Project Managers to design and deliver meaningful software solutions that address client challenges. You will leverage your deep technical expertise to solve complex problems, advocate for better engineering practices, and foster collaboration within the team. As a Senior Developer, you ll help lead the development of large-scale distributed systems and microservices, mentor junior developers, and contribute to the technical vision that drives our projects forward. Key Responsibilities Write Clean, Reusable Code: Advocate for and adopt best practices like TDD (Test-Driven Development), pair programming, and design patterns to ensure high-quality software delivery. Champion Continuous Delivery: Embrace continuous delivery practices to deliver value to customers quickly and efficiently while maintaining high software quality. Collaborative Problem Solving: Work in value-driven, cross-functional teams to create innovative customer experiences for clients. Ensure that best practices and UX specifications are incorporated throughout the development process. Design & Build Microservices: Architect and develop large-scale distributed systems using microservices to provide flexible, scalable solutions for clients. Apply Latest Technologies: Utilize cutting-edge technology from our Technology Radar to solve complex business problems and keep your solutions innovative and future-proof. Implement DevSecOps Practices: Advocate for the use of DevSecOps tools and methodologies to ensure security is integrated throughout the software lifecycle, promoting a DevOps culture. End-to-End Software Delivery: Oversee the complete software delivery process from ideation to deployment ensuring efficient and effective implementation of solutions. Mentorship & Leadership: Act as a mentor to junior team members, sharing your technical expertise and helping them develop both professionally and personally. Job Qualifications Technical Skills: Experience: You have extensive experience with Java, React, AWS, Terraform, and other Object-Oriented programming languages. High-Quality Code: You are skilled at writing clean, well-tested code and are highly comfortable with Object-Oriented programming principles. Agile Methodologies: You are familiar with Agile methodologies such as Extreme Programming (XP), Scrum, and Kanban, and use them to deliver incremental and high-quality software. TDD & Continuous Integration: You are knowledgeable in Test-Driven Development (TDD), continuous integration, and continuous delivery practices and tools. Cloud Technologies (Bonus): Familiarity with cloud platforms such as AWS, Azure, Kubernetes, and Docker will be a strong advantage. Professional Skills: Leadership & Influence: You actively influence others by advocating for technical excellence while maintaining an openness to evolving your approach when necessary. External Engagement: You contribute to the broader tech community through speaking engagements, open-source contributions, blogs, or other forums, sharing your expertise. Problem-Solving & Resilience: You excel in ambiguous situations, approaching complex challenges from multiple perspectives and delivering thoughtful, well-rounded solutions. Learning & Development: At ThoughtWorks, we offer autonomy in how you develop your career. We provide comprehensive learning resources, mentorship, and opportunities to grow and challenge yourself through our strong cultivation culture. Career Growth: You ll have the freedom to shape your career path and benefit from a supportive environment where your personal and professional growth is encouraged and nurtured. Onsite Work Expectation: You may be required to work out of our ThoughtWorks office or at client locations five days a week, depending on business and client needs. ThoughtWorks is not just about technology; it's about creating impactful solutions that make a difference. If you're passionate about writing high-quality, scalable code, mentoring teams, and solving complex business problems, we d love for you to join our diverse and collaborative team. Together, we will continue to break new ground and innovate in the tech world.

Data Engineer IBM Consulting About the Role Join us at IBM Consulting in one of our Client Innovation Centers, where we deliver specialized technical and industry expertise to both public and private sector clients worldwide. Our centers bring local skills and technical capabilities to help clients drive innovation and adopt cutting-edge technologies. A career at IBM Consulting is built on fostering long-term relationships and collaborating closely with clients around the globe. You ll work with leaders across multiple industries to advance the hybrid cloud and AI journeys of some of the world s most innovative and influential companies. Your ability to create impactful change will be empowered by IBM's strategic partner ecosystem and our robust technology platforms, including IBM Software and Red Hat. At IBM, curiosity and a continual pursuit of knowledge form the cornerstone of success. In your role, you'll be encouraged to challenge norms, explore new ideas beyond your immediate responsibilities, and deliver innovative solutions that make a meaningful difference for clients. Our culture is rooted in growth and empathy, ensuring long-term career development in an environment that celebrates your unique skills and experiences. Your Role and Responsibilities As a Data Engineer at IBM, you ll unlock the power of data, revealing insightful stories and complex patterns. You ll contribute to data gathering, storage, and both batch and real-time processing, playing an essential role in defining data management systems and identifying key data for analysis. Your key responsibilities will include: Predictive Modeling: Implementing, validating, and maintaining statistical and predictive models, utilizing big data techniques along with various machine learning methodologies. Enterprise Search Applications: Designing and deploying enterprise search applications like Elasticsearch and Splunk to meet client-specific needs. Collaboration & Agile Practices: Working in an agile, team-oriented environment, collaborating with data scientists, engineers, consultants, and database administrators to bring statistical rigor to predictive behavior challenges. Data Integration & Cleansing: Developing teams or writing programs to efficiently cleanse and integrate data, build predictive models, and evaluate the results. Required Education Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field. Preferred Education Master's Degree in a relevant technical discipline. Required Technical and Professional Expertise 4+ years of experience in data modeling and data architecture. Proficiency in data modeling tools like ERwin, IBM Infosphere Data Architect, and experience with database management systems. Familiarity with various data models, including relational, dimensional, and NoSQL databases. Strong understanding of business processes and how data supports business decision-making. Expertise in database design principles, data warehousing concepts, and data governance practices. Preferred Technical and Professional Experience Exceptional analytical and problem-solving skills, with a sharp attention to detail. Ability to work collaboratively in a team-oriented environment and manage multiple projects simultaneously. Knowledge of SQL or similar programming languages. At IBM Consulting, we foster a culture of growth, innovation, and collaboration. As a Data Engineer, you ll have the opportunity to work with some of the brightest minds in the industry, all while impacting critical data-driven solutions for global clients. Join us and be a part of a diverse team committed to driving change and shaping the future of technology and analytics. Qualification : Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field.

Qualifications: 7+ years of experience working in the AI & Automation field Proven experience in designing and implementing AIOps solutions in large-scale environments; strong expertise as an Automation Engineer with a focus on AIOps, Generative AI, and Conversational AI. Hands-on experience withAmeliaAIOps software and integrations is a must Strong knowledge of AI/ML techniques applied to IT operations. Proficiency with automation tools (e.g., Ansible, Puppet, Terraform, Chef etc). Expertise in cloud platforms (AWS, Azure, GCP), with hands-on experience in automation and orchestration. Solid understanding of APIs, web services, and integration technologies (e.g., REST, GraphQL, Kafka). Proficiency in scripting/programming languages (Python, Java,Bash, etc). Familiarity with observability tools (e.g., Splunk, Dynatrace, New Relic) and ITSM tools (e.g., ServiceNow) Strong background in machine learning and deep learning algorithms. - Proficiency in Python, TensorFlow, and PyTorch, Huggingface for developing AI models. Generative AI frameworks Langchain, LlamaIndex, Agentic Frameworks - AutoGen, Semantic kernel, crewAI, promptflow,Langflow, Langraph Deep understanding of transformer architectures and diffusion models Experience in generative AI techniques such as GANs and VAEs. - Ability to design and implement scalable and efficient AI systems. Experience working with DevOps including but not limited to container technologies like Docker & Kubernetes, as well as Cloud Native technology stack such as Argo, Helm, etcd, and Envoy Strong communication, problem solving and leadership skills, with the ability to work collaboratively with diverse teams. Certifications in AWS, Azure, Generative AI or relevant AI technologies are a plus. Your benefits: We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location) From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career andhelp our people return from career breaks with experience that nothing else can teach About Allianz Technology Allianz Technology is the global IT service provider for Allianz and delivers IT solutions that drive the digitalization of the Group. With more than 13,000 employees located in 22 countries around the globe, Allianz Technology works together with other Allianz entities in pioneering the digitalization of the financial services industry. We oversee the full digitalization spectrum from one of the industry s largest IT infrastructure projects that includes data centers, networking and security, to application platforms that span from workplace services to digital interaction. In short, we deliver full-scale, end-to-end IT solutions for Allianz in the digital age. D&I statement Allianz Technology is proud to be an equal opportunity employer encouraging diversity in the working environment. We are interested in your strengths and experience. We welcome all applications from all people regardless of gender identity and/or expression, sexual orientation, race or ethnicity, age, nationality, religion, disability, or philosophy of life. Join us. Let s care for tomorrow.