Mlops Architect Jobs in Pune

AI/ML Engineer Experience: 2 3 Years Education: BBA, BSc, BTech/BE, MSc, MTech, MCA Location: Pune About the Role We are seeking a passionate AI/ML Engineer to design, build, and scale production-grade AI systems that power our platform. You will work on real-world AI problems such as document intelligence, real-time voice AI, and intelligent job-to-candidate matching systems. This role requires strong hands-on experience in LLM engineering, backend development, and AI system productionization. Required Skills Python (FastAPI) LangChain, LlamaIndex OpenAI API, Anthropic Good to Have Postgres (Pgvector), Supabase Redis Docker LangSmith GitHub Actions Roles & Responsibilities Build Agentic Workflows: Design and deploy AI agents capable of reasoning and decision-making using LangChain or LlamaIndex. Develop Voice AI Systems: Build low-latency, real-time conversational voice bots for candidate outreach using WebSockets, STT, and TTS, ensuring effective context retention and state management. Engineer Data Pipelines: Create robust parsing systems that enforce strict JSON outputs from LLMs for resume data extraction, along with data cleaning pipelines for unstructured formats (PDF/DOCX). Implement Advanced RAG Systems: Develop retrieval pipelines using Pgvector or Pinecone with hybrid search (semantic + keyword) for accurate job-to-candidate matching. Productionize & Monitor AI Systems: Set up tracing and observability using LangSmith to debug chains, monitor token usage, and optimize performance and cost. Backend Integration: Package AI logic into scalable, asynchronous microservices using FastAPI and Docker. Technical Requirements 1. Generative AI & LLM Engineering Experience enforcing structured JSON outputs using function calling. Strong prompt engineering skills (Chain-of-Thought, Few-Shot). Hands-on experience orchestrating complex AI pipelines using LangChain or LlamaIndex. 2. Voice AI & Real-Time Processing Experience with STT/TTS APIs (e.g., Whisper, Deepgram). Strong understanding of WebSockets and async programming for real-time audio streaming. Ability to design conversation managers with memory and context handling. 3. Search & Data (RAG) Experience with vector databases such as Pgvector, Pinecone, or Qdrant. Expertise in chunking, cleaning, and ingesting unstructured data. 4. MLOps & Production Engineering Observability and tracing using LangSmith. Writing automated AI evaluation scripts to test prompts before deployment. Experience optimizing cost by balancing model performance and token usage. 5. Core Backend Engineering Strong Python skills with FastAPI. Proficiency in async/await patterns for concurrent processing. Experience with Docker and relational databases (SQL). 6. Machine Learning & Algorithms Understanding of recommendation systems (Collaborative Filtering, Two-Tower models). Experience with ranking and re-ranking techniques (LTR, Cross-Encoders). Familiarity with traditional ML models using Scikit-learn or XGBoost. The Applied Mindset We Value Model Strategy: Ability to choose the right model based on cost, latency, and intelligence requirements. Security First: Awareness of prompt injection and jailbreaking risks and strategies to mitigate them. Hallucination Control: Strong grounding techniques to ensure factual and reliable AI outputs. Tech Stack Overview Languages: Python (FastAPI) AI & Orchestration: LangChain, LlamaIndex, OpenAI API, Anthropic Voice AI: Deepgram, Twilio Databases: Postgres (Pgvector), Supabase, Redis DevOps & MLOps: Docker, LangSmith, GitHub Actions Qualification : BBA, BSc, BTech/BE, MSc, MTech, MCA

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.

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.

Position: Data Science Engineer Location: Pune Work Type: Full Time Minimum Experience: 3+ Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Computer Vision, Object Detection About the Role We re looking for an experienced Data Science Engineer to join our Data & AI Practice. You will work on building and deploying intelligent, enterprise-grade AI solutions using the latest in Machine Learning, Deep Learning, Computer Vision, and Generative AI technologies. This is a role for engineers who thrive on ownership, innovation, and collaboration with the opportunity to mentor, lead, and make a real business impact through data. What You Will Work On Lead the design and development of AI/ML models and applications. Work with Product Management to translate business use cases into technical requirements and AI solutions. Develop and deploy Computer Vision, NLP, Deep Learning, and multi-modal GenAI applications. Perform dataset selection, feature engineering, and optimize data representation techniques. Mentor junior team members and contribute to team growth. Continuously explore and adopt the latest advancements in AI/ML, CV, NLP, and LLMs. Required Skills & Experience 3+ years of full lifecycle experience in building and deploying AI/ML applications. Proficiency in Python and core libraries: Pandas, NumPy, SciPy, Scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace Transformers, spaCy, CoreNLP. Deep knowledge in Linear Algebra, Probability, and Statistics. Strong foundation in Computer Vision: image classification, object detection (YOLO, Mask/Faster R-CNN), segmentation (semantic, instance, panoptic). Experience in Generative AI/LLMs, including Prompt Engineering, LangChain, LlamaIndex, Vector Search, Function Calling, Agentic Frameworks, and Document Processing. Exposure to cloud platforms: AWS (preferred), Azure, or GCP. Experience building RESTful APIs using frameworks like FastAPI, with async programming. Familiarity with CI/CD, Docker/Kubernetes, and scalable cloud-native deployments. Excellent problem-solving, analytical, and communication skills. Bonus Skills (Nice to Have) Experience in Agile/Scrum methodologies. Knowledge of MLOps/LLMOps: model versioning, tuning, deployment, monitoring. Experience with data visualization tools for analytics storytelling. Startup culture with autonomy, agility, and small team dynamics. Work on emerging AI/ML technologies across diverse real-world applications. Remote work options for high-performing team members. Competitive compensation with family-friendly benefits. Structured career progression based on performance and innovation. About Cognologix At Cognologix, we help businesses redefine their digital future through innovation and data-centric solutions. Our focus on cloud-native architectures, AI-driven intelligence, and automation-first thinking empowers enterprises to achieve meaningful transformation.

Job Title: Software Engineer AI/ML Location: Pune Qualification: B.E./B.Tech/M.E./M.Tech Experience: 2 4 Years Reporting To: Lead Software Engineer / Project Manager Role Overview: We are seeking a passionate and skilled AI/ML Software Engineer to join our growing team. The ideal candidate will be responsible for designing and developing intelligent systems using cutting-edge Machine Learning and Artificial Intelligence techniques. You will play a key role in building data-driven solutions that automate decision-making and improve business outcomes. Key Responsibilities: Study, analyze, and transform data science prototypes into functional ML solutions. Design and build AI and Machine Learning systems to automate predictive models. Research, implement, and optimize ML algorithms and tools based on project needs. Select appropriate datasets and design suitable data representation techniques. Develop, test, and fine-tune ML models through rigorous experimentation and statistical analysis. Train, retrain, and update ML systems as required. Extend or customize existing ML libraries and frameworks. Stay updated with the latest trends and advancements in AI/ML technologies. Required Skills & Abilities: 2 4 years of hands-on experience in AI/ML development. Solid understanding of Data Structures, Algorithms, and strong mathematical aptitude. Strong programming skills in Python, with working knowledge of scikit-learn, pandas, and other core ML libraries. In-depth knowledge of AI/ML algorithms, model evaluation techniques, and performance metrics. Experience with Deep Learning frameworks like TensorFlow, Keras, or PyTorch is a plus. Exposure to MLOps tools for model deployment and monitoring is preferable. Good communication skills and ability to manage interactions with clients and cross-functional teams. Strong problem-solving attitude and a willingness to learn continuously. Qualification : B.E./B.Tech/M.E./M.Tech/MCA

Position: Technical Architect Designation: Assistant Manager Experience Required: 14 Years Location: Pune Role Overview: We are looking for an experienced Technical Architect to lead the architecture and design of embedded systems, specifically Electronic Control Units (ECUs). This role involves defining the overall hardware and software architecture, ensuring alignment with project goals, and managing cross-functional technical teams. Key Responsibilities: Serve as the technical leader for embedded system projects, primarily focused on ECU development. Define and govern end-to-end system architecture, covering both hardware and software components. Provide architectural guidance throughout the project lifecycle from concept to deployment. Collaborate closely with hardware, software, and validation & verification (V&V) teams to ensure cohesive integration. Manage and coordinate efforts across team leads from software, hardware, and V&V divisions. Review and approve technical documentation, design specifications, and system requirements. Ensure adherence to industry standards, scalability, and best practices in system architecture. Qualifications: B.E./B.Tech in Electronics, Electrical, or Computer Science Engineering. 14+ years of experience in embedded systems development with a strong background in system architecture. Proven experience in leading multidisciplinary technical teams. Solid understanding of both hardware and software aspects of embedded system design. CDAC certification in VLSI or a related domain is an added advantage. Qualification : B.E./B.Tech in Electronics, Electrical, or Computer Science Engineering

Lead Salesforce Architect Location: Pune Role Overview: We are seeking a highly experienced and strategic Salesforce Architect to lead the design and delivery of enterprise-level Salesforce solutions. In this role, you will work across multiple Salesforce clouds and integration platforms to architect scalable, secure, and high-performing solutions that align with our business goals. Key Responsibilities: Architect and oversee the implementation of Salesforce solutions across Sales Cloud, Service Cloud, Experience Cloud, Marketing Cloud, and Health Cloud. Leverage Salesforce out-of-the-box capabilities to minimize custom development and optimize performance. Lead technical solutioning using Apex, Lightning Web Components (LWC), and declarative tools. Design and manage integrations between Salesforce and external systems using MuleSoft, REST/SOAP APIs, and middleware technologies. Define and implement CI/CD pipelines using tools such as Git, Jenkins, Azure DevOps, Copado, or Gearset. Translate complex business requirements into scalable, maintainable technical solutions. Conduct comprehensive code and architecture reviews to ensure alignment with industry best practices, performance, and security standards. Collaborate with business stakeholders and cross-functional teams to drive platform strategy, roadmap development, and delivery execution. Required Qualifications: 8+ years of hands-on experience with the Salesforce platform, including 3+ years in a Salesforce Architect role. Deep expertise in Sales Cloud, Service Cloud, and Experience Cloud; experience with Health Cloud is preferred. Strong development skills with Apex, Lightning Web Components (LWC), and a deep understanding of the Salesforce metadata model. Comprehensive knowledge of Salesforce configuration, security models, sharing rules, automation tools, and platform limitations. Proven experience with MuleSoft and API-led integration architecture. Solid understanding of DevOps, CI/CD, and sandbox management within Salesforce ecosystems. Ability to lead architectural discussions and translate strategic business objectives into actionable technical designs.

Tableau Architect Location: Pune Role Overview: We are looking for an experienced Tableau Architect to lead the design, development, and optimization of scalable data visualization solutions. The ideal candidate will bring deep expertise in Tableau, strong data architecture skills, and a passion for mentoring and guiding teams. You will play a pivotal role in delivering impactful analytics and ensuring best practices are followed across the organization. Key Responsibilities: Lead and mentor junior Tableau developers and analysts in Pune, fostering skill development and enforcing adherence to data visualization best practices. Architect, design, and implement scalable, high-performing Tableau dashboards and data models to support business analytics needs. Optimize Tableau environments to ensure efficient performance with large datasets and complex visualizations. Guide and support data integration efforts from diverse data sources into Tableau, ensuring data consistency and reliability. Conduct training sessions, hands-on workshops, and provide one-on-one mentorship to upskill team members. Collaborate with cross-functional teams including data engineers, business analysts, and IT to align on data and reporting requirements. Troubleshoot and resolve technical issues related to Tableau workbooks, data connections, and server performance. Create and maintain clear, user-friendly documentation for internal and external stakeholders, including architecture diagrams, user guides, and training materials. Technical Skills: Advanced proficiency in Tableau Desktop, Tableau Prep, and Tableau Server. Strong background in data modeling, ETL processes, and data architecture. Expertise in SQL and experience working with relational databases (e.g., SQL Server, Oracle). Hands-on experience in data integration from multiple sources and ensuring data quality. Proven ability to optimize dashboard performance for speed and responsiveness with large-scale datasets. Familiarity with cloud platforms such as AWS or Azure for data storage and analytics. Soft Skills & Additional Requirements: Experience in training and mentoring junior analysts, with a focus on building local talent in Pune. Excellent communication skills, especially when working with distributed and cross-functional teams. Strong problem-solving abilities to diagnose data and performance issues effectively. Commitment to producing high-quality documentation and reusable templates.

Generative AI Engineer Location: Pune (Work from Office) Experience: Minimum 2 Years Notice Period: Immediate to 15 Days Preferred Job Overview: We are seeking a highly skilled and innovative Generative AI Engineer to join our dynamic team in Pune. This role requires hands-on expertise in developing, fine-tuning, and deploying advanced AI/ML models, particularly in the domain of Generative AI. If you're passionate about pushing the boundaries of AI technologies and building production-ready solutions, we d love to hear from you. Key Responsibilities: Design, develop, and deploy Generative AI models and real-world AI-driven applications. Work extensively on prompt engineering, model fine-tuning, and optimization for performance and scalability. Collaborate with cross-functional teams including product managers, researchers, and engineers to integrate AI capabilities into business solutions. Stay current with the latest research and advancements in Generative AI, including transformer models, diffusion models, and LLMs. Build tools, scripts, and frameworks to streamline AI workflows including training, evaluation, and deployment. Optimize inference pipelines and manage cloud-based AI services and APIs. Required Skills & Qualifications: 2+ years of experience in AI/ML with at least 1 year of hands-on work in Generative AI. Strong foundation in NLP, deep learning, and transformer architectures (e.g., GPT, BERT, LLaMA). Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Experience integrating with LLM APIs, vector databases, or cloud-hosted AI models (e.g., OpenAI, Hugging Face, Google Vertex AI). Solid understanding of machine learning pipelines, MLOps, and versioning tools. Excellent analytical, problem-solving, and communication skills. Preferred Qualifications: Experience with LangChain, Retrieval-Augmented Generation (RAG), or vector databases like Pinecone, Weaviate, or FAISS. Prior contributions to open-source AI projects, GitHub portfolios, or published research papers. Familiarity with Stable Diffusion, image generation models, or multi-modal AI. Work with cutting-edge AI technologies and enterprise-scale use cases. Opportunity to drive innovation in one of the fastest-growing AI domains. Collaborative and inclusive workplace focused on learning and growth. If you re ready to bring Generative AI to life in real-world applications, apply now and be part of our AI innovation journey.

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.

Data Engineer - Media & Advertising Sector - Job Description We are looking for an experienced Data Engineer to join our team and drive business outcomes in the media and advertising sector. In this role, you will leverage advanced data technologies to design and implement comprehensive data strategies that focus on scalability, performance optimization, and secure data management. Successful candidates will have hands-on experience with Big Data technologies and machine learning models, as well as a deep understanding of the advertising domain and its data needs. Technical and Professional Requirements: Big Data Technologies: Proficiency with platforms such as BigQuery, Big Data, Hadoop, and Snowflake for managing and processing large-scale datasets. Programming/Scripting Languages: Strong experience in programming languages like Python, Java, or Go for developing data solutions. Machine Learning Models: Hands-on experience defining and implementing various Machine Learning models to address diverse business requirements. Data Scalability & Performance: Practical experience in handling performance and data scalability challenges to ensure efficient data processing and storage. Advertising Domain Knowledge: Familiarity with advertising data and experience working with datasets such as Campaign Performance, Ad Performance, Attribution, and Audience Data. Job Responsibilities: Data Strategy Design: Develop a comprehensive data strategy that aligns with business objectives. This includes designing data models, establishing database development standards, and managing data warehouses and data analytics systems. Data Source Identification: Identify internal and external data sources and create a plan for managing these data sources according to the overall business data strategy. Cross-Functional Collaboration: Work with various teams (engineering, product, analytics, etc.) to ensure the smooth functioning of the enterprise data system, facilitating cross-departmental cooperation. End-to-End Data Architecture: Manage the end-to-end data architecture process, from selecting the platform and designing technical architecture to developing applications, and finally testing and implementing the solution. Big Data Solution Planning: Plan and execute big data solutions using technologies like BigQuery, Big Data, Hadoop, and Snowflake. Data Accessibility & Security: Integrate technical functionality that ensures data accessibility, accuracy, and security throughout the data lifecycle. Educational Requirements: Any Graduate with 60% and above in your academic background. This position is ideal for someone who is passionate about data engineering and eager to tackle complex challenges in the media and advertising sector. If you're looking to drive innovation, work with cutting-edge technologies, and collaborate across teams, we would love to hear from you! Qualification : Any Graduate with 60% and above in your academic background.

DevOps Engineer - Media & Advertising Sector - Job Description We are seeking an experienced DevOps Engineer to join our team and optimize DevOps solutions tailored for the media and advertising sector. This role will focus on leveraging cloud platforms for cost optimization, driving the implementation of CI/CD pipelines, and improving development efficiency and system performance. The ideal candidate will bring expertise in cloud environments, DevOps practices, and performance monitoring tools to enhance the overall software delivery process. Technical and Professional Requirements: Cloud Platforms: Experience with GCP, Azure, or AWS for managing cloud infrastructure and services. DevOps Tools: Expertise in tools such as Terraform, CircleCI, GitLab CI, and Jenkins for building and managing CI/CD pipelines. Monitoring & Performance Tools: Familiarity with Prometheus, Grafana, Dynatrace, New Relic, or AppDynamics for monitoring and troubleshooting system performance. Cloud Cost Optimization: Experience in Cloud Cost Optimization to improve cost efficiency while maintaining system performance. Media & Advertising Domain: Knowledge of the media and advertising sector and experience building DevOps solutions that align with the specific needs of this domain. Job Responsibilities: Facilitate Development and Operations: Improve and streamline the development process and day-to-day operations using DevOps practices. Identify Design Flaws and Bottlenecks: Recognize any design flaws, performance bottlenecks, and areas for improvement in the software development pipeline. Build DevOps Channels: Establish and manage effective DevOps channels throughout the organization to improve collaboration and efficiency. Continuous Build Environments: Set up and maintain continuous integration environments to speed up the software development cycle. Best Practices Delivery: Design, implement, and deliver DevOps best practices across the organization to enhance system performance and development workflow. Cloud Solution Guidance: Provide guidance and expertise to the development team, ensuring optimal end-to-end solutions from a cloud and DevOps perspective. Educational Requirements: Any Graduate with 60% and above academic performance. Qualification : Any Graduate with 60% and above academic performance.

Cloud Architect Key Responsibilities: Collaborate with the Global Architecture team to deliver technology capabilities supporting business strategy and IT service modernization. Define new architectural standards for evolving cloud capabilities, including the use of AI Services and ML models within the enterprise. Focus on core IT capabilities, including security and access controls, secure service implementation, and frameworks for cross-team processes. Work with business units and vendors to deliver strategic programs and projects supporting new or upgraded digital assets. Promote and support the adoption of cloud-first solutions using native technologies and continuous delivery methods. Provide technical knowledge and support to Cloud Engineering and Operations to meet business needs. Lead incident management and root cause analysis (RCA) for events impacting operations within the Cloud Infrastructure domain and develop mitigation strategies. Company Description: Syngenta Group is a global leader in sustainable agriculture, with over 53,000 employees in more than 100 countries. With more than 250 years of innovation, we strive to transform agriculture through solutions benefiting farmers, society, and the planet. We are committed to operating with the highest ethical standards and maintaining a workplace free from discrimination and harassment. Qualifications: Bachelor s degree in Computer Science, IT, or a relevant field. 10+ years of experience in Cloud Architecture and delivering various cloud-hosted technologies. 7+ years of hands-on experience with AWS, Azure, or Google Cloud Native services. Experience in developing architectural standards and aligning them with security and information policies. Experience deploying infrastructure into cloud platforms to utilize native capabilities. Experience in delivering Hybrid Cloud architecture and configuring Cloud Landing Zones. Experience working with AI capabilities within security policies. Extensive experience with infrastructure-as-code and advising on best practices to maintain a healthy pipeline. Strong self-motivation and ability to quickly adapt to new tasks. Ability to manage problem resolution and lead teams in addressing production issues. Additional Information: Syngenta is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, veteran status, disability, or any other legally protected status. Qualification : Bachelors degree in Computer Science, IT, or a relevant field.

Tech Lead Data Overview: As a Tech Lead Data, you will provide technical leadership to a team of experts, helping implement information-driven strategies and systems that support agricultural scientists in developing solutions for growers. You will manage end-to-end implementation of data environments beyond architectural design, ensuring that real-life data systems are developed and executed efficiently. You are a highly motivated problem solver with the ability to prioritize shifting workloads in a dynamic environment. You are an effective communicator and a confident leader passionate about making things happen within a fast-paced organization. Key Responsibilities: Lead the development of data and analytics capabilities within the R&D node of the enterprise data mesh, implementing architectural blueprints for various data platforms. Develop and implement an organizational data strategy aligned with business processes, including data model design, database development standards, and management of data warehouses and analytics systems. Identify and manage both internal and external data sources, creating a data management plan aligned with the organizational strategy. Collaborate with cross-functional teams, stakeholders, and vendors to ensure the smooth functioning of the enterprise data ecosystem. Guide the technical direction of data projects and initiatives, ensuring best practices in data engineering and analytics. Integrate technical functionality to ensure data accessibility, accuracy, and security. Perform continuous audits of data management systems and address performance issues, reporting breaches or vulnerabilities to stakeholders. Experience & Skills Required: 9+ years of experience in Big Data, data warehousing, data analytics, and/or Information Management projects. Proven experience building large-scale enterprise data architectures using both commercial and open-source Data Analytics technologies. Strong data modeling and architecture skills, including expertise in data warehousing, data normalization, and dimensional modeling (e.g., OLAP, data vault). Understanding of predictive modeling, Natural Language Processing (NLP), text analysis, and Machine Learning. Knowledge of security integration, including Kerberos authentication, SAML, data security, privacy techniques like data masking, and tokenization. Experience with DevOps engineering and Continuous Integration/Delivery tools. In-depth understanding of AWS Cloud solutions and integrating into legacy systems and COTS solutions. Familiarity with the following tools: Data Ingestion: Snaplogic, Glue, Lambda Storage: S3 Processing: Databricks DWH: Redshift, Databricks SQL Warehouse Databases: RDS Languages: Python (pyspark), SQL (sparksql), Java, R BI Tools: PowerBI, Dash, Spotfire, Qlik Catalog: Glue catalog, Unity Catalog Streaming: Kafka, EventHub AI/ML: MLOps, SageMaker Storage/Dataframe: S3, Deltalake, Iceberg, Parquet Qualifications: University bachelor s degree in Science, Technology, Engineering, or Mathematics (STEM). Fluency in English. Strong customer focus with excellent communication, teamwork, and negotiation skills. In-depth technical experience, ideally with AWS certification. Experience implementing data-first solutions. Experiences to be Gained: Continuous upskilling in the latest technologies, tools, and design practices. Exposure to R&D operations. Development of leadership and relationship-building skills with internal customers. Company Description: Syngenta Group is one of the world s leading sustainable agriculture innovation companies, with over 53,000 people in more than 100 countries. We strive to transform agriculture through tailor-made solutions for farmers, society, and the planet. We are committed to maintaining high standards of ethics, integrity, and creating an inclusive, discrimination-free workplace. Additional Information: Syngenta is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, veteran status, disability, or any other legally protected status. Qualification : University bachelors degree in Science, Technology, Engineering, or Mathematics (STEM).

DDI Team Lead Overview: We are seeking a highly skilled and experienced DDI Team Lead to join our team. The ideal candidate will be responsible for designing, implementing, and maintaining the DDI (DNS, DHCP, and IPAM) environment while enhancing the current solution. This role will manage a small team of DDI analysts who provide 1st/2nd level support and act as an escalation point for issues with the DDI environment. The role also involves identifying potential vulnerabilities, developing mitigation strategies, and responding to DDI incidents. Key Responsibilities: Collaborate with business partners to gather requirements and define strategy/roadmaps for DDI solutions. Identify gaps in the current DDI environment and provide resolutions. Lead a team of DNS analysts, providing escalation support for troubleshooting issues. Investigate and design automation solutions to enhance productivity and streamline DDI processes. Create and maintain DDI policies. Work with the design and planning team to define, refine, and suggest alternative designs or permanent remediation solutions for issues. Ensure smooth handover of solutions to engineering/operations teams with appropriate documentation. Proactively identify opportunities for improvement within the DDI environment. Continuously evaluate service capacity and performance, recommending technical and service changes as necessary. Collaborate with vendors and support detailed technical designs and troubleshooting as required. Required Qualifications: 7-12 years of experience with DDI (DNS, DHCP, IPAM). 7-12 years of network experience (TCP/IP, protocols, ports). Hands-on experience with Active Directory. Proven experience leading a small team. Ability to take ownership of issues and drive them to resolution, providing timely updates to stakeholders during incidents. Maintain accuracy in network monitoring tools and ensure proper monitoring of devices. Proactive in identifying and acting on opportunities to improve processes and services. Strong collaboration with L2/L3 Operations, Engineering teams, and 3rd-party vendors. Experience with maintaining inventory and updating internal knowledge bases. Ability to document processes, prepare use cases, and ensure all issues are logged and updated accurately. Familiarity with BlueCat DDI solutions is an advantage, especially with BlueCat automation gateways. Qualifications: Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. Company Description: Syngenta Group is one of the world s leading sustainable agriculture innovation companies, committed to improving global food security. With over 60,000 employees in more than 100 countries, Syngenta helps farmers make better use of resources, ensuring safer food production and a better planet. We are committed to fostering a diverse and inclusive workplace. Additional Information: Syngenta is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, veteran status, disability, or any other legally protected status. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field.

Role: Software Engineer Embedded Systems Company: Whirlpool Corporation About Whirlpool Corporation Whirlpool Corporation (NYSE: WHR) is a leading kitchen and laundry appliance company, driving innovation to enhance life at home. Our iconic brands include Whirlpool, KitchenAid, JennAir, Maytag, Amana, Brastemp, Consul, and InSinkErator. In 2023, Whirlpool reported approximately $19 billion in annual sales, with 59,000 employees and 55 manufacturing and technology research centers worldwide. Key Highlights: #1 Fortune 500 Consumer Durable company Market leader in North America, Latin America & leading western brand in Asia Annual sales turnover of $21 billion globally 70 manufacturing & technology centers globally 3 manufacturing locations in India Role Summary We are seeking a talented software engineer with expertise in embedded software development to join Whirlpool s global software development team. This role focuses on developing software for smart and connected home appliances, contributing to next-generation IoT innovations. Key Responsibilities Design and develop embedded software for Whirlpool products, with a strong focus on IoT integration. Analyze system requirements and translate them into software architecture and development tasks. Apply state-of-the-art industry solutions and best practices in embedded development. Develop and integrate software adhering to coding standards, design documentation, and unit testing. Collaborate across functional, technical, and code reviews. Provide creative and scalable solutions to complex software challenges. Minimum Requirements Bachelor s Degree in Electronics & Telecommunication (E&TC). 10+ years experience in embedded software development and microcontroller software design. Preferred Skills & Experience Bachelor s Degree in Electrical Engineering, Computer Engineering, or Computer Science. Strong expertise in IoT systems including TCP/IP stacks, WiFi networks, BLE, and RESTful protocols. Knowledge of network protocols (HTTPS, MQTT, JSON, XML). Understanding of encryption and OTA security protocols (TLS). Proficiency in C/C++, JavaScript, Java, Python, and Shell Scripting. Experience working in resource-constrained embedded environments. Solid understanding of data structures, algorithms, object-oriented design, operating systems, networking, wireless standards, and security protocols. Strong passion for innovation, learning, and applying cutting-edge technology to consumer products. Excellent communication skills and a collaborative mindset. If you re passionate about working at the intersection of software and smart appliances, this is an excellent opportunity to join a global leader in home innovation. Qualification : Bachelors Degree in Electronics & Telecommunication (E&TC).

Job Title: Cyber Security Customer Solution & Pre-Sales Architect About the Role: We are looking for a Cyber Security Customer Solution & Pre-Sales Architect to lead pre-sales architecture and consultancy efforts for high-value managed security services projects. This role involves working closely with customers to analyze cyber security requirements and develop tailored, competitive solutions. You will be responsible for multi-million-dollar bids, providing strategic guidance, and collaborating with cross-functional teams to deliver compelling proposals. Key Responsibilities: Pre-Sales & Solution Architecture: Lead customer consultations to analyze cyber security requirements. Define and design pre-sales security architecture for enterprise clients. Drive high-value bids and managed security services proposals. Technical Expertise: Provide deep technical expertise on Azure and AWS Native Security controls. Advise on business system risk management related to information security. Ensure disaster recovery planning, risk analysis, and contingency planning. Commercial & Strategic Leadership: Develop practice charters and contribute to demand generation initiatives. Collaborate with Sales, Technical, Delivery, and Finance teams to craft competitive proposal responses. Build cost models, define service elements, and contribute to bid responses. Industry Awareness & Leadership: Stay updated with market trends, threats, and industry nuances. Exhibit strong leadership abilities and serve as a trusted advisor to clients. Required Skills & Experience: Must-Have: Experience in cyber security pre-sales architecture roles. Strong knowledge and hands-on experience with Azure & AWS Native Security controls. Proven expertise in bid responses for managed security services and outsourcing deals. Commercial mindset with the ability to build consensus and influence stakeholders. Experience with information security risk management, auditing, and business system recovery. Good-to-Have: Prior experience in managed security services delivery. Knowledge of compliance frameworks (ISO 27001, NIST, GDPR, etc.). How to Apply: If you are a Cyber Security Pre-Sales Architect with a passion for solution design, security strategy, and pre-sales consulting, we d love to hear from you. Apply now and become a key player in driving cybersecurity excellence!

Company: Syngenta Group About Syngenta Group: Syngenta Group is a global leader in sustainable agriculture innovation, with a rich history of over 250 years. With 53,000 employees across more than 100 countries, Syngenta is committed to transforming agriculture through cutting-edge solutions that benefit farmers, society, and the planet. Our mission is to become the world s most local agricultural technology and innovation partner. Job Summary: Syngenta is seeking a Cloud Architect to join its Cloud Architecture Team, a pivotal part of the IT organization. This team defines architectural standards, governance policies, and supports strategic IT & business implementations. As a Cloud Architect, you will lead the way in establishing cloud technologies and services, developing standards, and helping drive the adoption of cloud-first solutions across the company. Key Responsibilities: Collaborate with the Global Architecture Team: Work with the team to deliver key technology capabilities aligned with business strategy and IT modernization goals. Architectural Standards Development: Define new architectural standards for evolving cloud capabilities, ensuring alignment with security, information policies, and overall business objectives. Cross-functional Collaboration: Engage with multiple business units and external vendors to support strategic programs, delivering new or enhanced digital assets. Enable Cloud-First Solutions: Drive the use of native cloud technologies and continuous delivery approaches to modernize IT services. Support Cloud Engineering & Operations: Provide technical expertise to advise on cloud solutions and assist with the deployment and management of cloud-based services. Incident & Root Cause Analysis (RCA): Lead investigations into operational issues within the cloud infrastructure, identifying root causes and implementing mitigation strategies. Desired Experience & Skills: Experience: 10+ years of experience in Cloud Architecture, with hands-on experience in delivering a variety of cloud-hosted technologies. 7+ years of hands-on experience with AWS, Azure, and Google Cloud Native services. Proven experience in developing architectural standards, policies, and frameworks aligned with security and information policies. Strong background in deploying infrastructure using cloud platforms and leveraging their native capacities. Experience designing and delivering Hybrid Cloud architectures. Technical Skills: Expertise in Infrastructure-as-Code (IaC) and best practices for maintaining a healthy CI/CD pipeline. Deep knowledge of cloud security standards and the ability to implement effective guardrails. Problem-Solving Skills: Ability to quickly adapt to new tasks and lead teams in resolving complex production issues. Skilled in incident management and root cause analysis (RCA) to ensure minimal downtime. Soft Skills: High degree of self-motivation and adaptability. Strong communication skills, with the ability to explain complex cloud concepts to non-technical stakeholders. Qualifications: Education: Bachelor s Degree in Computer Science, Information Technology, or a related field is required. Relevant certifications in cloud technologies (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, etc.) are a plus. Why Work with Syngenta? Impactful Work: Contribute to sustainable agriculture innovations that directly benefit the planet and communities. Global Presence: Work with talented individuals across the globe in a collaborative, dynamic environment. Commitment to Diversity & Ethics: Syngenta is committed to a workplace free from discrimination and harassment, fostering a culture of inclusion, integrity, and respect. Interested candidates are invited to apply and join Syngenta in our mission to transform agriculture. Qualification : Bachelors Degree in Computer Science, Information Technology, or a related field is required.