8 Ansys Jobs

Role Overview: Join the Ansys Customer Excellence (ACE) team to support customers in a new and innovative way. You will be at the forefront of change, focusing on developing and deploying solutions for customers. The ACE team is continuously striving for efficiency and sees AI as a paradigm shift. In this role, you will leverage your engineering knowledge and GenAI to streamline AI transformation for technical support and learning and development within the ACE team. You will work with a dynamic team to deliver high-quality solutions to customers, enhancing your impact on their success. Key Responsibilities: - Collaborate with internal teams and end users to design, test, and document reusable PyAnsys-based code modules for simulation and automation workflows. - Utilize engineering expertise to develop knowledge data related to Ansys Fluids products for consumption by Large Language Models (LLMs). - Identify and fill gaps in existing knowledge by working with subject matter experts. - Develop data pipelines for AI models using internal and external databases. - Gain technical expertise in Ansys products and GenAI technologies suitable for technical support and learning and development. - Adhere to legal and enterprise-level data governance policies when handling data. - Document all data workflows developed for AI applications and present them to the Data audit teams. - Participate in strategic team and company initiatives as required. - Be agile and open to new responsibilities, maintaining a fast-paced and experimental mindset. Qualification Requirements: - Bachelors degree in Mechanical/Civil/Aerospace engineering. - 0 years of professional experience in an engineering software environment. - Experience with Ansys software or other commercial CAE, CAD, CFD, EDA, PLM software. - Strong problem-solving, interpersonal, and communication skills in English. - Organized with a sense of urgency and time management skills. Additional Company Details: Ansys is committed to innovation and human advancement through vision, skill, and collaboration. The company operates based on commitments to stakeholders, core values of adaptability, courage, generosity, and authenticity, and actions that drive outstanding results. Ansys fosters a diverse and inclusive workplace where employees are valued for their talents and experiences. The culture is grounded in values that promote team performance and innovation. With programs supporting employee networks and learning communities, Ansys aims to impact innovation and business outcomes globally. Join Ansys to work with visionary leaders, drive technology innovation, and impact real people with real solutions.,

As a Senior R&D Verification Engineer in the Mechanical Business Unit, your role involves software testing of ANSYS applications, particularly MAPDL. Your responsibilities include assessing product functionality and usability to ensure they meet customer needs and quality standards. You will collaborate with the product creation team and technical specialists to address product issues and research new engineering features for creating analytical and user scenario test cases. Key Responsibilities: - Specify and write test cases, create, modify, and update existing tests, write and maintain test scripts - Perform functional, application, regression, and performance testing in manual and/or automated test environments - Create test plans, contribute to testing initiatives, analyze coverage, and participate in defect management - Apply technical knowledge to investigate complex product issues, analyze requirements, and develop tests for new features - Work in various computing environments such as Windows, Linux, VMs, Compute Clusters, and Cloud - Participate in design and code reviews, implement verification initiatives, and deploy testing strategies for automation - Collaborate with the product creation team and technical support specialists, and coordinate with other teams to address dependencies Qualification Required: - Bachelor's degree in Mechanical, Civil, Structural, or Aerospace Engineering with 5 years of experience, Master's degree with 3 years of experience, or PhD with one year of experience - Strong computing skills with knowledge of Continuum/Structural Mechanics and Numerical Methods - Commercial experience using Ansys APDL/Workbench or similar FEA software in an engineering environment - Experience in troubleshooting complex systems, debugging, and performing linear and nonlinear finite element analysis Preferred Qualifications and Skills: - Excellent technical knowledge and commercial experience with ANSYS MAPDL product - Experience delivering high-quality products in a large-scale commercial organization - Understanding of customer requirements and tools used in this domain - Experience in nonlinear contact analysis and nonlinear transient dynamic analysis - Effective communication, interpersonal skills, and ability to collaborate in a distributed team - Strong attention to detail, ability to manage multiple projects, work autonomously, and troubleshoot effectively - Experience with high-performance computing for simulations and proficiency in programming or scripting languages like Python and bash.,

As a Business Operations Specialist II at Ansys, your role involves working with various departments such as Sales, Sales Ops, Legal, Accounting, and Export Compliance to process customer orders and generate license keys. You will be responsible for verifying and reviewing the accuracy of orders, maintaining records, preparing reports, and providing quality customer service to the sales channels. Your ability to handle complex tasks independently and improve workflow will be crucial in this role. Key Responsibilities: - Process software license orders and stock orders using multiple CRM systems - Verify license agreements in accordance with Ansys policies and procedures - Generate accurate license keys and software license entitlement information for sales channels and customers - Maintain data integrity by utilizing CRM checks - Act as a liaison between sales channels and Ansys by resolving customer issues and providing support - Assist sales personnel with order submission and documentation - Collaborate with legal, accounting, and sales departments to ensure procedural and policy adherence - Identify opportunities to enhance workflow and provide value-added customer service - Participate in department projects to improve product delivery processes Qualifications Required: - Associates Degree or a minimum of 4 years of experience in billing, order processing, or customer service - Strong customer service skills with a focus on excellent service delivery - Demonstrated organizational and analytical skills - Experience working in a database environment with report generation responsibilities - Detail-oriented with the ability to multitask in a fast-paced environment - Excellent communication and interpersonal skills - Proficiency in Microsoft Office applications Preferred Qualifications and Skills: - Prior experience with CRM systems is preferred - Bachelor's Degree in Accounting or Business is desirable - Experience in servicing global customers is highly preferred - Familiarity with Salesforce, Snowflake, and PowerBI - Background in process improvement initiatives At Ansys, the culture is built on core values of adaptability, courage, generosity, and authenticity. The company is committed to fostering a diverse and inclusive workplace where employees are encouraged to bring their unique talents and experiences. As part of the team, you will have the opportunity to work with some of the brightest minds in the industry and contribute to innovative technology solutions that drive human advancement. Ansys is a globally recognized company with a prestigious reputation for collaborating with world-class organizations. If you are ready to be inspired and make a meaningful impact through cutting-edge simulation technology, Ansys is the place for you. Join us in creating a workplace where respect, autonomy, and ethics are paramount, and where learning, discovery, and collaboration thrive. For more information about Ansys and our award-winning workplace, please visit www.ansys.com. As a Business Operations Specialist II at Ansys, your role involves working with various departments such as Sales, Sales Ops, Legal, Accounting, and Export Compliance to process customer orders and generate license keys. You will be responsible for verifying and reviewing the accuracy of orders, maintaining records, preparing reports, and providing quality customer service to the sales channels. Your ability to handle complex tasks independently and improve workflow will be crucial in this role. Key Responsibilities: - Process software license orders and stock orders using multiple CRM systems - Verify license agreements in accordance with Ansys policies and procedures - Generate accurate license keys and software license entitlement information for sales channels and customers - Maintain data integrity by utilizing CRM checks - Act as a liaison between sales channels and Ansys by resolving customer issues and providing support - Assist sales personnel with order submission and documentation - Collaborate with legal, accounting, and sales departments to ensure procedural and policy adherence - Identify opportunities to enhance workflow and provide value-added customer service - Participate in department projects to improve product delivery processes Qualifications Required: - Associates Degree or a minimum of 4 years of experience in billing, order processing, or customer service - Strong customer service skills with a focus on excellent service delivery - Demonstrated organizational and analytical skills - Experience working in a database environment with report generation responsibilities - Detail-oriented with the ability to multitask in a fast-paced environment - Excellent communication and interpersonal skills - Proficiency in Microsoft Office applications Preferred Qualifications and Skills: - Prior experience with CRM systems is preferred - Bachelor's Degree in Accounting or Business is desirable - Experience in servicin

As a globally recognized industry leader in the Energy vertical, you will utilize your advanced engineering knowledge to support Ansys verticalization strategy with the Energy Center of Excellence (COE). Collaborating in a dynamic and cross-functional environment with multi-disciplinary teams, you will leverage your leadership skills to drive business impact. You will advise the Ansys commercial and product management teams on how best to grow the business by using conceptual thinking and a deep understanding of overall market needs. Your role will involve driving Ansys Go-to-Market verticalization strategy in collaboration with the Industry CTO, Global Technical Account Management (TAM), Marketing, and Sales Operations Leads. - Drive Ansys Go-to-Market verticalization strategy in collaboration with the Industry CTO, Global TAM, Marketing, and Sales Operations Leads - Establish a trusted advisor role to the COE; understand industry trends, product development needs, and design workflows - Build a network of Subject Matter Experts globally to drive content collation and mapping of Ansys capabilities to industry initiatives - Work with product development teams to define the Ansys product roadmap, prioritize feature enhancements, and recommend new solution focus areas - Drive market adoption of vertical application focus areas by creating and promoting sales enablement and technical content - Lead knowledge sharing and mentoring programs within Ansys - Demonstrate leadership in Ansys initiatives to innovate offerings and solutions - Support the Ansys Field and Digital Marketing team through developing promotional materials and supporting events Minimum Education/Certification Requirements And Experience: - Required education: BS or MS or PhD in Mechanical/Chemical/Aerospace/Electrical Engineering or related field - Required minimum years of professional experience: BS+12, MS+10, or PhD+7 - Demonstrated use of relevant Ansys software or knowledge of other commercial CAE, CAD, EDA, PLM software packages - Subject matter expert in relevant disciplines within Ansys business - Understanding of engineering practices, product development, and building solutions using simulation technology - Strong leadership, mentoring, problem-solving, and communication skills - Ability to organize and manage complex projects and work in a Matrix Organization - Excellent negotiation skills and ability to facilitate discussions among diverse stakeholders - Willingness to travel up to 25% of the time Preferred Qualifications And Skills: - Preferred education and experience: BS+16, MS+14, or PhD+11 - 6 years of experience in application engineering, customer support, or consulting services roles - Ability to interact effectively with senior business managers and C-level executives - Willingness to travel up to 50% of the time At Ansys, the culture is grounded in core values of adaptability, courage, generosity, and authenticity. The company is committed to creating a workplace that supports and welcomes people of all backgrounds. Ansys offers programs to further impact innovation and business outcomes, such as employee networks and learning communities. Join Ansys to be part of a team that strives to change the world with innovative technology and transformational solutions.,

Role Overview: Join our Ansys Customer Excellence team to assist customers with their real-world engineering simulation projects and integration of Ansys software in design workflows. You will utilize advanced-level engineering knowledge and Ansys AI-based platforms to ensure customer success. As part of our dynamic team, you will contribute to delivering high-quality solutions and advancing pervasive simulation knowledge. Key Responsibilities: - Deploy Ansys AI-based platforms to complement engineering expertise and assist customers with engineering problems related to Ansys Fluids Products - Ensure high Customer Satisfaction and Success to drive customers" adoption of Ansys software - Develop and maintain long-term customer relationships - Share knowledge and experience by creating and updating content for customers and internal colleagues - Lead team projects such as content creation and process deployment - Provide feedback for product improvement and participate in application field testing of new releases - Analyze the effectiveness of Ansys AI-based support platforms in answering customers" questions - Promote and learn how AI-based technologies can assist engineers in helping Ansys customers - Develop expertise in Ansys simulation products and applications - Provide expertise-level support to other business functions as needed - Participate in strategic team and company initiatives Qualification Required: - B.Tech, M.Tech, or PhD in Mechanical or Chemical Engineering or related field - Professional experience in an engineering software environment (B.Tech+3, M.Tech+2, or PhD+0) - Demonstrated use of Ansys Fluids software or knowledge of other commercial CAE software packages - Expertise in Fluid dynamics, Heat transfer, Multiphase Modeling, Numerical Methods, and Thermodynamics - Strong problem-solving skills and ability to implement numerical models for engineering solutions - Excellent interpersonal and communication skills - Strong organizational and time management abilities - Ability to work independently and in a team environment - Willingness for continuous learning and professional development - Preferred qualifications include additional years of professional experience, customer-facing roles, and experience with Ansys tools like Ansys Workbench, Ansys Fluent, Ansys CFX, and Ansys Space claim,

Role Overview: Join the Ansys Customer Excellence team to support customers with their LS-DYNA simulations and contribute to the growth of Ansys business. Utilize your engineering knowledge to provide technical post-sales support, tackle various technical challenges, and communicate customer feedback to enhance Ansys products. As part of a team of dedicated engineers, your role will involve delivering high-quality solutions to customers, expanding your expertise, experience, and impact on customer success. Ansys prioritizes its people by providing the necessary resources for you to make a significant impact from day one. Enjoy a good work/life balance with flexible hours and ample opportunities for learning and development. Key Responsibilities: - Assist customers with LS-DYNA and Ansys simulations. - Deliver prompt and top-notch customer service to ensure customer satisfaction. - Specialize in one or more simulation areas. - Contribute to enhancing Ansys software by reporting defects and suggesting improvements. - Create knowledge articles and share them on the Ansys forum. - Stay updated on new LS-DYNA and Ansys features to support new releases. - Support marketing and sales teams with demos and training materials as required. Qualifications Required: - Bachelor of engineering degree. - Proficient in structural mechanics fundamentals. - Strong problem-solving skills and effective interpersonal/communication abilities. - Capable of working independently with minimal supervision and collaboratively in a team setting. - Fluent in both written and spoken English. - Excellent organizational and time management skills with a sense of urgency. - Demonstrates professionalism, business acumen, and a drive to succeed. - Enjoys assisting others. Additional Company Details: At Ansys, the focus is on empowering individuals to drive human advancement through innovative technology and transformative solutions. The company values inclusivity and diversity, creating a workplace where all backgrounds are welcomed and talents are valued. Ansys operates based on core values of adaptability, courage, generosity, and authenticity, fostering a culture that promotes higher team performance and encourages innovation for customers. The company offers various programs for all employees to enhance innovation and business outcomes, including employee networks and learning communities aimed at delivering solutions for a globally diverse customer base. For more information, please visit www.ansys.com.,

As a software developer at Ansys, you will play a crucial role in enhancing Ansys Computational Fluid Dynamics (CFD) capabilities within the Python ecosystem. Your responsibilities will involve designing and constructing modern APIs and automation tools, spanning various simulation technologies. By creating high-quality Python interfaces that seamlessly integrate with powerful Ansys solvers, you will facilitate the development of efficient and automated engineering workflows for users. - Design and construct modern APIs and automation tools for Ansys CFD applications - Create high-quality Python interfaces that integrate with Ansys solvers - Facilitate the development of efficient and automated engineering workflows To excel in this role, you should hold a Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Physics, or a related technical field. Strong academic credentials, especially from esteemed institutions, will be highly valued. Proficiency in at least one programming language, a solid grasp of algorithms, data structures, and core software engineering principles are essential. Additionally, fluency in spoken and written English is necessary for effective communication in a professional environment. - Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Physics, or related field - Proficiency in at least one programming language - Solid grasp of algorithms, data structures, and core software engineering principles - Fluency in spoken and written English Preferred qualifications include experience with the Python ecosystem, knowledge of C++, and basic familiarity with web technologies, remote APIs, or distributed systems. Proficiency in version control using Git and understanding modern development workflows will be advantageous. If you have interests in simulation, engineering, and scientific computing, this role offers a platform to leverage your skills and contribute to cutting-edge technological advancements. - Experience with the Python ecosystem and knowledge of C++ - Basic familiarity with web technologies, remote APIs, or distributed systems - Proficiency in version control using Git and understanding modern development workflows (Note: Additional details of the company were omitted as they were not explicitly mentioned in the job description.),

As a Senior Application Engineer at Ansys, you will play a crucial role in deploying Ansys EDA products, with a primary focus on RedHawk-SC for Power Integrity and EMIR signoff across top Semiconductor companies. Your responsibilities will involve collaborating with Software developers, Architects, and Product Specialists to develop the product and implement it on cutting-edge SoCs in Semiconductor companies. Your key focus areas will include addressing challenges related to IP/SoC/3DIC Power Integrity, Signal Integrity, Reliability aspects such as EM/ESD/Thermal, Advanced timing/jitter, and Packaging on advanced nodes like 7/5/3/2 nm. As a senior member of the Application Engineering Team, you will: - Collaborate with Global Customers, IP-providers, and Foundries to understand design challenges of advanced SoCs & 3DICs and create EDA product specifications. - Work with the Product development team to develop state-of-the-art EDA products. - Utilize Ansys-Seascape platform, the Semiconductor Industry's First and Only True Big-Data design Platform. - Engage with top Semiconductor companies globally to deploy EDA products for addressing Power/Signal/Reliability challenges across Chip-Package-System. - Work on RedHawk and RedHawk-SC for assisting users and conducting EMIR/power-integrity sign-off analysis. - Provide expert guidance and consultation to Customers worldwide in resolving design challenges. To qualify for this role, you should possess: - A Bachelor's or Master's degree in Electrical or Electronics Engineering. - Minimum 3 years of industry experience in Power Integrity / Signal Integrity / EMIR signoff with hands-on knowledge of Redhawk-SC. - Strong problem-solving and programming skills. - Excellent verbal and written communication skills. At Ansys, we are committed to powering innovation that drives human advancement. Our culture is built on core values of adaptability, courage, generosity, and authenticity, which drive us to achieve audacious goals, work seamlessly as a team, demonstrate mastery, and deliver outstanding results. We believe in creating a workplace that supports diversity and welcomes talents from all backgrounds, fostering higher team performance and greater innovation.,

Job Opening: Lead Engineer Electrical & Electronics (E&E) Location: Nashik Job Code: ITC/LE/20251104/17659 Experience Required: 7-8 Years Salary Range: 22,00,000 -24,00,000 per annum Job ID: ITC/LE/20251104/17659 Application Deadline: 25th Nov Status: Open About the Role We are looking for a highly experienced Lead Engineer E&E to manage and integrate electrical and electronic systems in vehicles. This role focuses on infotainment, telematics, EV architecture, and advanced automotive electronics. The ideal candidate will have strong leadership abilities and a deep technical understanding of E&E systems. Key Responsibilities Lead and mentor a team of E&E design engineers. Oversee vehicle electrical & electronic system integration (infotainment, telematics, EV architecture). Analyze field failures, manufacturing issues, and software/hardware defects. Review and validate schematic diagrams, wiring harness designs, and ensure compliance with quality standards. Track software-related issues during manufacturing and coordinate resolutions. Conduct internal reviews and prepare presentations for senior management. Maintain a strong focus on quality, cost efficiency, and timely project delivery. Required Skills E&E Architecture Wiring Harness Issue Analysis Schematic Diagram Development CANoe Tool Diagnostic Software Tools Strong problem-solving & data analytics skills Qualifications Bachelors Degree (B.E.) in Electrical, Electronics, Automotive, or related field Mandatory background in automotive ECU development Excellent communication, analytical, and coordination skills Why Join Us Lead high-impact automotive E&E projects Work with next-generation technologies (EV, Infotainment, Telematics) Opportunity for technical leadership and cross-functional collaboration How to Apply Eligible candidates can apply directly via Shine.com or submit their updated resume as per job posting instructions.

Cybersecurity Professional Experience Level: 3-10 Years Employment Type: Full-Time About the Role We are seeking an experienced Cybersecurity Professional to join our security team and help protect our organization's critical assets, infrastructure, and data. The ideal candidate will have a proven track record in identifying vulnerabilities, implementing security controls, and responding to security incidents. Key Responsibilities Security Operations: Monitor, detect, and respond to security incidents and threats across the organization's infrastructure Vulnerability Management: Conduct regular security assessments, penetration testing, and vulnerability scans; remediate identified risks Security Architecture: Design and implement security solutions including firewalls, IDS/IPS, SIEM, EDR, and other security tools Incident Response: Lead incident response activities, perform root cause analysis, and develop remediation strategies Compliance & Governance: Ensure compliance with security standards (ISO 27001, NIST, PCI-DSS, GDPR, SOC 2) and industry best practices Security Awareness: Develop and deliver security training programs to enhance organizational security posture Threat Intelligence: Stay current with emerging threats, vulnerabilities, and attack vectors; implement proactive defense measures Policy Development: Create and maintain security policies, procedures, and documentation Required Qualifications Education: Bachelor's degree in Computer Science, Information Security, or related field Experience: 3-10 years of hands-on experience in cybersecurity roles Technical Skills: Strong knowledge of network security, application security, and cloud security (AWS/Azure/GCP) Experience with security tools (SIEM, IDS/IPS, firewalls, antivirus, DLP) Proficiency in security frameworks and standards Understanding of operating systems (Windows, Linux, Unix) and network protocols Experience with scripting/programming (Python, PowerShell, Bash) Certifications: One or more relevant certifications such as CISSP, CEH, CISM, CompTIA Security+, GIAC, or equivalent Preferred Qualifications Experience with cloud security and DevSecOps practices Knowledge of threat hunting and malware analysis Familiarity with zero trust architecture Experience in regulated industries (finance, healthcare, government) Strong analytical and problem-solving abilities Excellent communication and stakeholder management skills What We Offer Competitive salary and performance bonuses Comprehensive health and wellness benefits Professional development and certification support Flexible work arrangements Cutting-edge security tools and technologies Collaborative and innovative work environment To Apply: Submit your resume and cover letter detailing your cybersecurity experience and achievements.

GenAI-Based AI Engineer - Full Stack Development Position Overview We are seeking a talented GenAI-Based AI Engineer with full-stack development expertise to design, develop, and deploy cutting-edge generative AI applications. The ideal candidate will bridge the gap between AI/ML capabilities and production-ready applications, leveraging Python across the entire stack. Key Responsibilities AI/ML Development Design and implement generative AI solutions using LLMs (GPT, Claude, Llama, etc.) Develop and fine-tune language models for specific use cases Build RAG (Retrieval-Augmented Generation) systems and vector databases Implement prompt engineering strategies and optimization techniques Create AI agents and multi-agent systems for complex workflows Integrate various AI APIs and services (OpenAI, Anthropic, Hugging Face, etc.) Backend Development Build scalable Python-based backend services using FastAPI, Flask, or Django Design and implement RESTful APIs and GraphQL endpoints Develop microservices architecture for AI model deployment Implement authentication, authorization, and security best practices Optimize API performance and implement caching strategies Manage database design and operations (PostgreSQL, MongoDB, vector databases) Frontend Development Develop responsive web interfaces using modern frameworks (React, Vue.js, or Streamlit) Create intuitive UIs for AI-powered applications Implement real-time features using WebSockets Build interactive data visualizations and dashboards Ensure cross-browser compatibility and responsive design MLOps & Deployment Deploy and monitor AI models in production environments Implement CI/CD pipelines for ML applications Containerize applications using Docker and orchestrate with Kubernetes Set up model versioning and experiment tracking (MLflow, Weights & Biases) Monitor model performance and implement automated retraining pipelines Manage cloud infrastructure (AWS, GCP, or Azure) Required Qualifications Technical Skills Python Expertise: 3+ years of professional Python development experience GenAI Frameworks: Hands-on experience with LangChain, LlamaIndex, or similar frameworks LLM Integration: Proven experience working with OpenAI, Anthropic, or open-source LLMs Backend Frameworks: Proficiency in FastAPI, Flask, or Django Frontend Technologies: Experience with React, Vue.js, or modern JavaScript frameworks Databases: Strong knowledge of SQL and NoSQL databases, vector databases (Pinecone, Weaviate, ChromaDB) ML Libraries: Experience with PyTorch, TensorFlow, Hugging Face Transformers API Development: RESTful API design and implementation Version Control: Git and collaborative development workflows Preferred Skills Experience with prompt engineering and fine-tuning LLMs Knowledge of embedding models and semantic search Familiarity with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) Experience with streaming responses and async programming Understanding of AI safety, ethics, and responsible AI practices Knowledge of containerization (Docker) and orchestration (Kubernetes) Experience with monitoring tools (Prometheus, Grafana) Familiarity with message queues (RabbitMQ, Kafka) Education & Experience Bachelor's or Master's degree in Computer Science, AI/ML, or related field 3-5 years of software development experience 1-2 years of hands-on experience with generative AI and LLMs Portfolio of AI projects or contributions to open-source AI projects Soft Skills Strong problem-solving and analytical thinking Excellent communication skills for cross-functional collaboration Ability to translate business requirements into technical solutions Self-motivated with ability to work independently and in teams Passion for staying current with rapidly evolving AI technologies Strong documentation and code review practices What We Offer Competitive salary and equity options Flexible work arrangements (remote/hybrid) Professional development and conference attendance Access to cutting-edge AI tools and technologies Collaborative and innovative work environment Health benefits and wellness programs Application Process Please submit your resume along with: GitHub profile or portfolio showcasing GenAI projects Brief description of your most impactful AI project Links to any deployed applications or demos  

Job Title: GCP Data Engineer Employment Type: Permanent Industry of the Employer: IT / Software Services Department / Functional Area: Data Engineering, Cloud Engineering Job Description GREETINGS FROM HUCON Solutions Hiring for Leading MNC GCP Data Engineer Role: GCP Data Engineer Skills: GCP, Python, SQL, BigQuery, ETL Data Pipeline Experience: 59 Years Locations: Chennai, Kochi, Bangalore, Hyderabad, Pune Eligibility Criteria Strong hands-on experience in Python, Pandas, NumPy Expertise in SQL and solid understanding of Data Warehousing concepts In-depth knowledge of GCP Services including: BigQuery, Cloud Run, Pub/Sub, Cloud Storage, Spanner, Cloud Composer, Dataflow, Cloud Functions Experience with Docker, Kubernetes, GitHub Strong communication and analytical skills Working experience with PySpark, Data Modeling, Dataproc, Terraform Google Cloud Professional Data Engineer certification is highly preferred Role Responsibilities Design, develop, and manage robust and scalable ETL / ELT pipelines on GCP using Dataflow, Cloud Run, BigQuery, Pub/Sub, and Cloud Composer Implement data ingestion workflows for structured and unstructured data sources Build and maintain data warehouses and data lakes using BigQuery, Cloud Storage, and other GCP tools Work with data modeling, architecture, and ETL/ELT frameworks Ensure best practices in performance, optimization, and cloud data management Keywords / Skills GCP, Python, SQL, BigQuery, ETL, Data Pipeline, Data Engineering, Cloud Run, Pub/Sub, Cloud Storage, Dataproc, Terraform, Kubernetes, Docker, Dataflow Total Experience: 5 to 9 Years Salary Type: Yearly Annual Salary Offered: As per company standards Job Type: Full Time Shift Type: Day Shift / Rotational (based on project requirement) Location of the Job: Chennai | Kochi | Bangalore | Hyderabad | Pune

GenAI-Based AI Engineer - Full Stack Development Position Overview We are seeking a talented GenAI-Based AI Engineer with full-stack development expertise to design, develop, and deploy cutting-edge generative AI applications. The ideal candidate will bridge the gap between AI/ML capabilities and production-ready applications, leveraging Python across the entire stack. Key Responsibilities AI/ML Development Design and implement generative AI solutions using LLMs (GPT, Claude, Llama, etc.) Develop and fine-tune language models for specific use cases Build RAG (Retrieval-Augmented Generation) systems and vector databases Implement prompt engineering strategies and optimization techniques Create AI agents and multi-agent systems for complex workflows Integrate various AI APIs and services (OpenAI, Anthropic, Hugging Face, etc.) Backend Development Build scalable Python-based backend services using FastAPI, Flask, or Django Design and implement RESTful APIs and GraphQL endpoints Develop microservices architecture for AI model deployment Implement authentication, authorization, and security best practices Optimize API performance and implement caching strategies Manage database design and operations (PostgreSQL, MongoDB, vector databases) Frontend Development Develop responsive web interfaces using modern frameworks (React, Vue.js, or Streamlit) Create intuitive UIs for AI-powered applications Implement real-time features using WebSockets Build interactive data visualizations and dashboards Ensure cross-browser compatibility and responsive design MLOps & Deployment Deploy and monitor AI models in production environments Implement CI/CD pipelines for ML applications Containerize applications using Docker and orchestrate with Kubernetes Set up model versioning and experiment tracking (MLflow, Weights & Biases) Monitor model performance and implement automated retraining pipelines Manage cloud infrastructure (AWS, GCP, or Azure) Required Qualifications Technical Skills Python Expertise: 3+ years of professional Python development experience GenAI Frameworks: Hands-on experience with LangChain, LlamaIndex, or similar frameworks LLM Integration: Proven experience working with OpenAI, Anthropic, or open-source LLMs Backend Frameworks: Proficiency in FastAPI, Flask, or Django Frontend Technologies: Experience with React, Vue.js, or modern JavaScript frameworks Databases: Strong knowledge of SQL and NoSQL databases, vector databases (Pinecone, Weaviate, ChromaDB) ML Libraries: Experience with PyTorch, TensorFlow, Hugging Face Transformers API Development: RESTful API design and implementation Version Control: Git and collaborative development workflows Preferred Skills Experience with prompt engineering and fine-tuning LLMs Knowledge of embedding models and semantic search Familiarity with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) Experience with streaming responses and async programming Understanding of AI safety, ethics, and responsible AI practices Knowledge of containerization (Docker) and orchestration (Kubernetes) Experience with monitoring tools (Prometheus, Grafana) Familiarity with message queues (RabbitMQ, Kafka) Education & Experience Bachelor's or Master's degree in Computer Science, AI/ML, or related field 3-5 years of software development experience 1-2 years of hands-on experience with generative AI and LLMs Portfolio of AI projects or contributions to open-source AI projects Soft Skills Strong problem-solving and analytical thinking Excellent communication skills for cross-functional collaboration Ability to translate business requirements into technical solutions Self-motivated with ability to work independently and in teams Passion for staying current with rapidly evolving AI technologies Strong documentation and code review practices What We Offer Competitive salary and equity options Flexible work arrangements (remote/hybrid) Professional development and conference attendance Access to cutting-edge AI tools and technologies Collaborative and innovative work environment Health benefits and wellness programs Application Process Please submit your resume along with: GitHub profile or portfolio showcasing GenAI projects Brief description of your most impactful AI project Links to any deployed applications or demos  

Requirement: Senior Azure Engineer (.NET Core & Azure Specialist) Technology: NET Core, C#, ASP.NET Core, WebAPI, MVC, Azure Devops, Azure Services Experience : 8+ years Work Location: Sanpada, Navi Mumbai Job Description Lead and mentor development teams on .NET Core and Azure-based projects. Migrate legacy .NET applications to .NET Core, Docker, and AKS. Design and implement serverless solutions using Azure Functions. Develop and deploy using Azure DevOps CI/CD pipelines. Optimize applications for performance, scalability, and security. Desired Profile Strong hands-on experience with .NET Core, C#, ASP.NET Core, WebAPI, MVC. In-depth knowledge of Azure Services: AKS, VM, Web App, Storage, Azure Functions, API Gateway, Load Balancer, Notification Hub. Experience with container-based deployments using Docker and AKS. Proficiency in Azure DevOps and ARM templates. Good to have: Exposure to Angular or React. Experience with microservices and serverless architectures QualificationBachelor's degree in a relevant field

Senior Snowflake Data Engineer Location: PAN India Experience: 8+ Years Skills: Snowflake, dbt, FiveTran, Snowpipe, AWS (MWAA, S3, Lambda), GitHub CI/CD Job Description We are looking for an experienced Senior Snowflake Data Engineer with strong expertise in modern data warehousing, cloud technologies, and ELT pipeline development. The ideal candidate should have deep hands-on experience in Snowflake, dbt, cloud environments, and CI/CD practices, with the ability to design scalable and efficient data solutions. Key Responsibilities Analyze, integrate, model, and interpret large and complex datasets from multiple sources. Design and implement ELT data pipelines using dbt with Snowflake as the primary cloud data warehouse. Build efficient and scalable data transformation pipelines using dbt at an advanced level. Work with ETL/ELT and data governance tools such as FiveTran and Alation. Utilize advanced Snowflake features such as RBAC, Dynamic Tables, and various optimization techniques. Ensure strong data modelling and warehousing practices across diverse database technologies. Manage orchestrations using Apache Airflow or AWS MWAA, along with CI/CD pipelines. Oversee continuous deployment, monitoring, and operations of data solutions using GitHub Actions, Terraform, and other DevOps tools. Collaborate with technical and non-technical stakeholders through effective communication. Contribute to building future-state Data Warehouse capabilities using cutting-edge technologies. Adapt and work efficiently within Agile methodology. Preferred Qualifications 2+ years of hands-on experience with Snowflake as a Cloud Data Warehouse and Data Lake platform. Strong understanding of cloud environments, especially AWS (S3, Lambda, MWAA). Airline industry domain experience is a plus.

Install, configure and upgrade desktops, laptops, printers and peripherals. Deploy and troubleshoot OS (Windows) and common applications, apply patches and updates. Troubleshoot basic LAN/Wi-Fi, VPN and printer connectivity issues. Provide on-site user support, document incidents, and escalate complex problems. Perform asset tagging, inventory updates and maintain service reports. Follow safety, data-privacy and change management procedures.  snehap@peshr.com/7021769496

Install, configure and upgrade desktops, laptops, printers and peripherals. Deploy and troubleshoot OS (Windows) and common applications, apply patches and updates. Troubleshoot basic LAN/Wi-Fi, VPN and printer connectivity issues. Provide on-site user support, document incidents, and escalate complex problems. Perform asset tagging, inventory updates and maintain service reports. Follow safety, data-privacy and change management procedures. Experience:1+Years  contact:snehap@peshr.com/7021769496

We are looking for an experienced Network Automation Engineer to design, implement, and optimize automation solutions for our Private Cloud datacenter network, which underpins large-scale AI/ML GPU and TPU workloads. This role focuses on automating configuration, provisioning, and monitoring of high-performance networking devices to ensure low latency, high throughput, and reliability in a mission-critical environment. This role involves automating network device management as well as OS-level network configurations on servers. Expertise in Ansible and Python is essential, and experience with GoLang is a strong plus.  Key Responsibilities: Develop and maintain network automation frameworks for large-scale datacenter environments supporting AI/ML workloads. Build Ansible playbooks, roles, and modules to automate device configurations, software upgrades, and compliance checks across multi-vendor environments. Design and implement Python-based automation scripts and tools to integrate with APIs, orchestration platforms, and monitoring systems. Automate OS core networking configurations on servers (Linux / Windows / Hypervisor) including bonding, VLANs, routing tables, kernel network parameters, MTU tuning, and NIC performance optimization.

Job Description: Strong C programming skills Internals of Linux Experience on Cisco Nexus OS internals is an added plus Experience on boot loader like UBoot onto the board to initialize the SoC and memory Should have good understanding of DPDK Able to write integrate ASIC within the DPDK framework that interacts with Sundown and Marvel ASICs Experience working on embedded RTOS system involving design dev debugging issues involve timing race conditions concurrency issues Knowledge on networking Layer2 layer3 protocols routing switching is an added plus

Key Responsibilities Design and implement customer journeys using Adobe Journey Optimizer Build and manage event driven journeys time based campaigns and real time personalization use cases Collaborate with cross functional teams marketing data and engineering to translate business requirements into AJO workflows Utilize AEP capabilities such as RealTime Customer Profile Segments Schemas XDM and Datasets to create journey conditions and triggers Work with APIs DecisioningAJOD Module and Event Forwarding for real time data ingestion and outbound integrations Design and test email templates push notifications and in app messages within AJO Implement offer decisioning and personalized content blocks using AJO Offer Library Perform unit testing UAT and AB testing within journeys to ensure optimal performance Monitor journey performance trouble shoot issues and optimize for KPIs eg engagement conversion Ensure governance and best practices around data privacy consent and compliance GDPR CCPA etcTechnical Skills Strong experience with Adobe Journey Optimizer AJO Working knowledge of Adobe Experience Platform AEP especially Schemas XDM modeling Segment Builder RealTime Customer Profile RTCP Datasets and data ingestion Familiarity with Customer Journey Analytics CJA and Adobe Offer Decisioning is a plus Proficient in JavaScript JSON and RESTful API integration Good understanding of data sources batch and streaming identity stitching and audience activation Experience with Tag Management Tools Adobe Launch or Tealium is a plus Preferred Qualifications Adobe Certified Expert Adobe Journey Optimizer Adobe Experience Platform Experience with other Adobe tools like Adobe CampaignMarketoEloqua Adobe Target or Adobe Analytics is a plus Experience in industries such as Retail Telecom BFSI or Healthcare is a plus Understanding of privacy regulations GDPR CCPA and consent frameworks