Model Optimization Jobs in Hyderabad

AI Solution Architect Full-Time | Hyderabad, India Department: Engineering Experience: 10+ years in AI/ML Location: On-site | Hyderabad, Telangana Salary: Competitive, based on experience About the Role We are looking for an experienced and visionary AI Solutions Architect to design, build, and scale advanced AI/ML solutions as part of our cutting-edge ZL Platform. This role requires deep technical expertise in machine learning, large language models (LLMs), model deployment, and a strong understanding of customer-driven product development. You'll collaborate with cross-functional teams Engineering, Product, Sales to translate business needs into impactful AI systems. Key Responsibilities Architect and lead the development of scalable AI/ML solutions integrated with the ZL Platform. Partner with Engineering, Product, and Sales teams to deliver PoC (proof of concept) demos and ensure successful customer adoption. Take ownership of AI and machine learning components, ensuring high quality, maintainability, and performance. Collaborate directly with customers and stakeholders to understand business problems and deliver technically sound solutions. Stay current with AI research and industry trends including model quantization, transformers, and vector databases and integrate advancements into platform architecture. Fine-tune and deploy LLMs (Large Language Models) using frameworks like PyTorch and Hugging Face Transformers. Provide mentorship to engineering teams and contribute to a culture of technical excellence and innovation. Optimize models for deployment in real-world environments with a focus on latency, scalability, and resource efficiency. Translate business problems into AI opportunities and present solutions to internal and external stakeholders. Preferred Skills & Expertise Strong background in deep learning, natural language processing (NLP), and LLMs. Experience with PyTorch, transformers, and AI model quantization and deployment. Production-level experience in deploying ML models in enterprise SaaS environments. Working knowledge of vector databases and semantic search optimization. Proven experience in PoC development, technical solution design, and delivering enterprise AI solutions. Familiarity with cloud platforms (e.g., Azure AI, AWS, GCP) for model hosting and orchestration. Qualitative Expectations Strong ownership mindset you own problems end-to-end and proactively fill knowledge gaps to deliver solutions. Thrive in fast-paced, evolving environments with loosely defined problems and multiple priorities. Excellent communicator with the ability to present technical concepts to both technical and non-technical audiences. Passionate about learning and sharing findings with peers; an enthusiastic self-starter and collaborator. Strong track record of innovation and continuous improvement. Education & Experience Master s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. 10+ years of professional experience in AI/ML, with hands-on experience designing, deploying, and scaling machine learning systems in production. Work at the forefront of enterprise AI and LLM innovation. Collaborate with world-class engineering, research, and product teams. Contribute to the development of AI products used by global enterprises. Competitive compensation and professional growth opportunities. Apply now to join us as an AI Solution Architect in Hyderabad. Qualification : Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline.

Senior Search Engineer Full-Time | Hyderabad, India Department: Engineering Location: Hyderabad (On-site) Experience: 5+ Years Industry: Enterprise Software / Search Technology Employment Type: Full-Time Salary: Competitive & Based on Experience Job Summary We are seeking a highly experienced and technically proficient Senior Search Engineer with deep expertise in Apache Lucene and related search technologies. In this role, you will architect, develop, and optimize complex search functionalities within our enterprise platform. Your work will directly impact search scalability, performance, and accuracy across high-throughput, data-driven applications. Key Responsibilities Design, build, and maintain robust search infrastructure using Lucene and Lucene-based frameworks. Integrate Lucene search features into large-scale, enterprise-grade applications and manage ongoing system upgrades. Tune indexing strategies and optimize search algorithms for performance, accuracy, and efficiency. Conduct comprehensive performance testing and profiling to identify system bottlenecks and implement improvements. Create and manage custom analyzers, tokenizers, and filters to meet advanced business search requirements. Troubleshoot and resolve complex search-related issues across systems and environments. Monitor and evaluate emerging trends in search engines, text processing, and machine learning-based ranking. Work closely with cross-functional engineering teams and product owners to define and implement search-related features. Required Qualifications Bachelor's or Master s degree in Computer Science, Software Engineering, or a related technical field. 5+ years of hands-on experience in software engineering with a strong emphasis on search technologies. Deep knowledge and production-level experience with Apache Lucene. Proficiency in associated technologies such as Elasticsearch, Solr, or other Lucene-based libraries. Strong understanding of search algorithms, indexing mechanisms, and query optimization techniques. Solid foundation in data structures, algorithms, and object-oriented design principles. Experience working with high-throughput systems and scalable, distributed architectures. Preferred Skills (Nice to Have) Experience integrating search capabilities in cloud environments (e.g., Azure, AWS, or GCP). Familiarity with natural language processing (NLP), semantic search, and vector search technologies. Exposure to machine learning models for relevance tuning and personalized search. Background in performance benchmarking tools and profiling techniques. Lead the development of mission-critical search and indexing features used by enterprise customers. Be part of a collaborative team solving cutting-edge search performance challenges. Work in an environment that encourages innovation and continuous learning. Competitive compensation, modern tech stack, and ample growth opportunities. Qualification : Bachelor's or Masters degree in Computer Science, Software Engineering, or a related technical field.

Job Title: Data Governance Architect Job Location: Hyderabad Job Description As a Data Governance Architect at Kanerika, you will play a pivotal role in shaping and executing the enterprise data governance strategy. Your responsibilities include: What You Will Do: Strategy, Framework, and Governance Operating Model Develop and maintain enterprise-wide data governance strategies, standards, and policies. Align governance practices with business goals like regulatory compliance and analytics readiness. Define roles and responsibilities within the governance operating model. Drive governance maturity assessments and lead change management initiatives. Stakeholder Alignment & Organizational Enablement Collaborate across IT, legal, business, and compliance teams to align governance priorities. Define stewardship models and create enablement, training, and communication programs. Conduct onboarding sessions and workshops to promote governance awareness. Architecture Design for Data Governance Platforms Design scalable and modular data governance architecture. Evaluate tools like Microsoft Purview, Collibra, Alation, BigID, Informatica. Ensure integration with metadata, privacy, quality, and policy systems. Microsoft Purview Solution Architecture Lead end-to-end implementation and management of Microsoft Purview. Configure RBAC, collections, metadata scanning, business glossary, and classification rules. Implement sensitivity labels, insider risk controls, retention, data map, and audit dashboards. Metadata, Lineage & Glossary Management Architect metadata repositories and ingestion workflows. Ensure end-to-end lineage (ADF Synapse Power BI). Define governance over business glossary and approval workflows. Data Classification, Access & Policy Management Define and enforce rules for data classification, access, retention, and sharing. Align with GDPR, HIPAA, CCPA, SOX regulations. Use Microsoft Purview and MIP for policy enforcement automation. Data Quality Governance Define KPIs, validation rules, and remediation workflows for enterprise data quality. Design scalable quality frameworks integrated into data pipelines. Compliance, Risk, and Audit Oversight Identify risks and define standards for compliance reporting and audits. Configure usage analytics, alerts, and dashboards for policy enforcement. Automation & Integration Automate governance processes using PowerShell, Azure Functions, Logic Apps, REST APIs. Integrate governance tools with Azure Monitor, Synapse Link, Power BI, and third-party platforms. Requirements 15+ years in data governance and management. Expertise in Microsoft Purview, Informatica, and related platforms. Experience leading end-to-end governance initiatives. Strong understanding of metadata, lineage, policy management, and compliance regulations. Hands-on skills in Azure Data Factory, REST APIs, PowerShell, and governance architecture. Familiar with Agile methodologies and stakeholder communication. Benefits Employee Benefits Culture: Open Door Policy: Encourages open communication and accessibility to management. Open Office Floor Plan: Fosters a collaborative and interactive work environment. Flexible Working Hours: Allows employees to have flexibility in their work schedules. Employee Referral Bonus: Rewards employees for referring qualified candidates. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. Inclusivity and Diversity: Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. Mandatory POSH training: Promotes a safe and respectful work environment. Health Insurance and Wellness Benefits: GMC and Term Insurance: Offers medical coverage and financial protection. Health Insurance: Provides coverage for medical expenses. Disability Insurance: Offers financial support in case of disability. Child Care & Parental Leave Benefits: Company-sponsored family events: Creates opportunities for employees and their families to bond. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. Perks and Time-Off Benefits: Company-sponsored outings: Organizes recreational activities for employees. Gratuity: Provides a monetary benefit as a token of appreciation. Provident Fund: Helps employees save for retirement. Generous PTO: Offers more than the industry standard for paid time off. Paid sick days: Allows employees to take paid time off when they are unwell. Paid holidays: Gives employees paid time off for designated holidays. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. Professional Development Benefits: L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. Mentorship Program: Offers guidance and support from experienced professionals. Job Training: Provides training to enhance job-related skills. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.

Operations Program Manager Customer Success (Hyderabad, India) Full-Time | Program & Business Operations | Salesforce Empower Operational Excellence. Drive Strategic Initiatives. Elevate Customer Success. Join Salesforce, the global leader in customer relationship management (CRM), as an Operations Program Manager and play a key role in shaping and executing global delivery programs that drive efficiency, scalability, and customer value. In this high-impact role, you ll be at the heart of business operations leading cross-functional initiatives, aligning with strategic goals, and ensuring operational excellence across the Professional Services Global Delivery Center (GDC). If you're a strategic thinker, a data-driven decision maker, and a collaborative leader with a strong foundation in business operations and program management, we want to hear from you. Location: Hyderabad or Bangalore, India Department: Customer Success / Professional Services Key Responsibilities Lead and manage strategic programs across Global Delivery Center (GDC) to support business growth, operational efficiency, and partner enablement Collaborate closely with stakeholders, sponsors, and cross-functional teams to define program scope, timelines, resources, and deliverables Plan and manage partner resource allocation for Cloud Practices, ensuring partner program objectives and KPIs are met Drive data-informed decisions through reporting, analytics, and insight generation to improve GDC performance Develop high-quality executive-level presentations to communicate program status, insights, and strategic direction Identify risks and dependencies early, implement mitigation strategies, and provide regular updates to senior leadership Continuously improve and optimize operational processes, ensuring program scalability and delivery excellence Coordinate with vendors and manage subcontractor-related program initiatives Advocate and support Agile/Scrum-based delivery models for improved cross-functional collaboration and execution Required Qualifications 10+ years of total experience in IT or related fields, with 5+ years in program management and business operations Strong hands-on experience managing business operations programs across multiple geographies or global delivery models Excellent analytical and problem-solving skills, with the ability to turn data into actionable insights Proven track record of successfully managing strategic initiatives with multiple stakeholders and cross-functional teams Advanced knowledge of Microsoft Excel for data analysis, modeling, and visualization Skilled in CRM tools experience with Salesforce CRM, Siebel, Clarify, Vantive, PeopleSoft, or NetSuite is a plus Familiarity with project management tools such as JIRA, MS Project, or similar platforms Strong communication and stakeholder engagement skills, including experience working with executive leadership Experience in driving continuous improvement and process optimization within business operations Preferred Qualifications Understanding of Agile methodologies and Scrum practices; experience as or with a Scrum Master is an advantage Experience managing external vendors or subcontractor programs PMP or Agile certification is a plus At Salesforce, we re on a mission to help businesses transform through innovation, customer success, and operational excellence. As part of our Customer Success organization, you ll be empowered to make a real impact, work with cutting-edge tools, and join a culture of collaboration, purpose, and continuous growth. Enjoy world-class benefits, including: Comprehensive well-being and healthcare coverage Generous parental leave, adoption and fertility support Ongoing enablement via Trailhead and leadership coaching Opportunities to give back through Salesforce s 1:1:1 philanthropy model Be a part of the team driving customer success at scale. Apply now to build a better tomorrow.

Principal Software Engineer Database Store (PMTS) | Hyderabad, India Full-Time | Software Engineering | Salesforce Build the Future of Enterprise-Grade Cloud Databases at Massive Scale Join Salesforce s Salesforce Database (SDB) team in Hyderabad, where we design and build a highly available, resilient, and scalable distributed storage system powering Salesforce s core enterprise applications on public cloud infrastructure. We re pioneering next-generation cloud computing technologies with a strong focus on transactional and distributed systems that deliver world-class reliability and performance. If you are a seasoned software engineer or technical leader with deep expertise in RDBMS, distributed databases, and scalable storage architectures, this is your chance to drive innovation in enterprise cloud database technology at one of the world s fastest-growing tech companies. What You ll Do Lead the design, architecture, and hands-on development of scalable, fault-tolerant, and resilient distributed transactional systems Build and optimize highly available data storage solutions supporting mission-critical Salesforce applications Develop clean, high-quality code primarily in Java or C within Unix/Linux environments, applying modern OOP techniques and design patterns Utilize telemetry and metrics-driven development to ensure operational excellence and system health Collaborate in an Agile development environment, contributing to continual team process improvement Mentor junior engineers and actively participate in code reviews and testing to maintain high-quality standards Solve complex challenges related to clustering, system programming, and cloud-native deployment Work closely with cross-functional teams to innovate and deliver incremental, reliable system improvements on public cloud platforms Employ knowledge of Kubernetes, public cloud APIs, and distributed systems internals to optimize deployment and scalability Qualifications & Skills 15+ years of professional software engineering experience, or M.Tech with 12+ years of relevant experience Proven track record in designing and delivering large-scale distributed and transactional systems in enterprise production environments Strong proficiency in Java or C programming on Unix/Linux platforms Deep understanding of relational databases, distributed systems architecture, and fault-tolerant storage Experience using metrics, telemetry, and monitoring tools to drive system improvements and operational reliability Familiarity with Agile methodologies and commitment to continuous delivery and improvement Strong leadership skills with the ability to mentor, collaborate, and influence within a dynamic engineering team Practical knowledge of cloud infrastructure, Kubernetes, and deployment automation is highly desirable Benefits & Perks Comprehensive benefits including health and well-being reimbursements, parental leave, adoption and fertility support Access to world-class enablement and continuous learning via Trailhead and other platforms Regular 1:1 coaching sessions with executive leadership for career growth and mentorship Opportunity to participate in Salesforce s 1:1:1 philanthropy model and give back to the community Work in a fast-paced, metrics-driven, and collaborative culture focused on innovation and excellence

Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

Lead Data Scientist Media Mix Modeling (MMM) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 6+ Years Company: Blend About Blend: Blend is a premier AI services provider committed to co-creating meaningful impact through data science, AI, and technology. We harness world-class talent and data-driven strategies to unlock innovation and value for our clients. Our mission is to empower bold visions by seamlessly aligning human expertise with artificial intelligence. Job Summary: We are seeking an experienced Lead Data Scientist with deep expertise in Media Mix Modeling (MMM) to optimize marketing spend and drive strategic insights across multiple media channels. You will leverage statistical modeling and data analytics to provide actionable recommendations that improve marketing effectiveness and business outcomes. Key Responsibilities: Design, develop, and implement Media Mix Models to analyze and optimize marketing spend across channels such as TV, digital, radio, and print. Analyze historical marketing data to measure channel effectiveness and guide budget allocation decisions. Collaborate closely with marketing, business, and analytics teams to translate business goals into quantitative models and insights. Build predictive models to forecast the impact of marketing campaigns and recommend budget reallocation. Present complex analytical findings clearly and effectively to technical and non-technical stakeholders. Conduct detailed analyses of marketing campaigns and customer behavior to uncover trends, opportunities, and optimization areas. Ensure accuracy, consistency, and integrity in all data analyses and model outputs. Stay updated with the latest advances in MMM, marketing analytics, and data science methodologies. Work with cross-functional teams including Data Engineering and BI to ensure smooth data integration and workflow. Document methodologies, models, and analysis processes thoroughly. Qualifications: Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related discipline. Minimum 6 years experience in Media Mix Modeling (MMM) or marketing analytics roles. Strong expertise in statistical modeling methods, including regression analysis and time-series forecasting. Proficiency in programming languages and tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI. Familiarity with marketing data sources such as Nielsen, IRI, social media analytics, and CRM datasets. Excellent analytical skills with the ability to translate data into actionable business insights. Strong communication skills for effective stakeholder engagement across technical and non-technical audiences. Experience working in fast-paced, data-driven environments. Knowledge of machine learning techniques and frameworks is a plus. Preferred Qualifications: Experience handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud. Understanding of marketing attribution, customer segmentation, and lifetime value (LTV) models. Experience conducting A/B testing and controlled experiments. Background in consulting or marketing agency settings is advantageous. Competitive Salary: Reflecting your skills and impact. Dynamic Career Growth: Fast-track your development with mentorship and challenging projects. Idea Tanks: Collaborate and innovate in our dedicated creativity spaces. Growth Chats: Informal knowledge-sharing sessions to fuel your learning. Snack Zone: Stay energized with a variety of refreshments. Recognition & Rewards: Regular acknowledgment of your contributions and ideas. Certification Support: Grow your skillset with company-supported certification programs. Apply now to become a key player in Blend s analytics team and lead transformative marketing analytics projects. Qualification : Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field.

Senior MLOps Engineer Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years (with 3 years specifically in ML Engineering) Company: Blend About Blend: Blend is a premier AI services provider committed to driving meaningful impact through data science, AI, and technology. We empower businesses by seamlessly aligning human expertise with artificial intelligence to unlock innovation and value. Job Summary: We are looking for a Senior MLOps Engineer with deep expertise in building, deploying, and managing ML pipelines on AWS. The ideal candidate will have hands-on experience with Amazon SageMaker and a strong foundation in Infrastructure as Code to support scalable and reliable ML operations. Key Responsibilities: Maintain and enhance ML pipelines on AWS, focusing on Infrastructure as Code (IaC) using CloudFormation. Implement essential pipeline extensions to support ongoing data science workflows. Document infrastructure usage, system architecture, and designs using tools such as Confluence, GitHub Wikis, and system diagrams. Serve as the internal expert on ML infrastructure, collaborating closely with data scientists to guide and support model deployment. Research and apply optimization strategies for ML workflows and infrastructure performance. Work independently and collaboratively with cross-functional teams to support ML product deployment and platform migration initiatives. Qualifications: 5+ years of hands-on DevOps experience with AWS Cloud. Proven track record of deploying at least two MLOps projects using Amazon SageMaker or similar AWS ML services. Strong proficiency in AWS services including SageMaker, ECR, S3, Lambda, and Step Functions. Expertise in Infrastructure as Code with CloudFormation across development, testing, and production environments. Solid understanding of MLOps best practices and fundamental data science principles. Proficient in Python for scripting and automation tasks. Experience with building and managing Docker images. Hands-on experience with Git-based version control systems such as AWS CodeCommit or GitHub, including GitHub Actions for CI/CD pipelines. Work with cutting-edge AI and ML technologies in a highly innovative environment. Collaborate with top-tier experts in data science and cloud engineering. Opportunities for professional growth, mentorship, and certification support. Competitive compensation package and dynamic work culture. Interested? Apply now to be part of Blend s mission to revolutionize AI-driven innovation!

Data Architect Hyderabad Experience: 10-17 Years Job Type: Full-Time | On-site/Hybrid Location: Hyderabad, India Industry: Data Engineering / Cloud Architecture Job Overview We are looking for an experienced Data Architect with 10+ years of expertise in designing, optimizing, and managing enterprise-scale data architectures on Azure Cloud. The ideal candidate will lead efforts to enhance data pipeline performance, ensure robust data governance, and drive cost-effective cloud resource utilization. If you excel in architecting scalable, secure, and high-performing data solutions, this is your chance to join a dynamic team in Hyderabad. Key Roles & Responsibilities Design, optimize, and maintain data pipelines, ETL processes, and complex queries to maximize performance and scalability. Improve query execution plans, indexing strategies, and optimize storage in Azure SQL, Azure Synapse Analytics, and Azure Data Lake. Implement advanced data management techniques such as data partitioning, caching, and compression for efficient data processing. Monitor cloud resource consumption and implement cost-saving strategies without impacting system performance. Optimize use of Azure services including Databricks, Data Factory, Synapse Analytics, and storage accounts to balance performance and cost. Establish and enforce coding standards, design patterns, and best practices for data pipeline development and cloud infrastructure management. Define and implement data governance, security, and compliance policies aligned with organizational and regulatory requirements. Develop and oversee CI/CD pipelines using DevOps methodologies tailored to data engineering workflows. Implement monitoring, alerting, and logging solutions using Azure Monitor, Log Analytics, and Application Insights to ensure system reliability. Architect solutions for high availability and disaster recovery to maintain business continuity. Optimize Power BI data models, DAX queries, and report performance; ensure governance and data refresh strategies meet business needs. Collaborate with cross-functional teams and business stakeholders to translate requirements into scalable and actionable data insights. Required Skills & Qualifications 10+ years of experience in data architecture, cloud data engineering, or related roles. Deep expertise in Azure Cloud data services: Azure SQL, Synapse Analytics, Data Lake, Databricks, Data Factory. Strong background in ETL pipeline optimization, query tuning, and storage management. Proven experience with data governance, security frameworks, and compliance standards. Familiarity with DevOps principles, especially CI/CD for data workflows. Expertise in monitoring tools like Azure Monitor, Log Analytics, and Application Insights. Hands-on experience optimizing Power BI solutions, including data modeling and report design. Excellent communication and stakeholder management skills. Work on large-scale, cutting-edge data projects impacting enterprise business decisions. Collaborate with a passionate, skilled team in a fast-paced, innovative environment. Competitive salary and benefits package. Opportunity to shape the future of data architecture within a leading organization. Apply Today If you are an expert Data Architect ready to take your career to the next level with advanced Azure data technologies, apply now and join our Hyderabad team!

Software Engineer III - Artificial Intelligence/Machine Learning Company: Google Location: Hyderabad, Telangana, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio technologies (e.g., voice recognition), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies. About the Job Google's software engineers work on next-generation technologies that reshape how billions of users connect, explore, and interact with information. Our projects scale massively and extend well beyond web search. We're looking for engineers who can bring fresh ideas from diverse areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. As a software engineer, you will focus on critical projects and have opportunities to switch teams and roles as Google s fast-paced business grows. We need engineers who are versatile, demonstrate leadership skills, and are eager to tackle new challenges across the full-stack to help push technology forward. Our mission is to organize the world's information and make it universally accessible and useful. The Devices & Services team at Google combines AI, software, and hardware to create groundbreaking user experiences. We research, design, and develop new technologies to make user interactions faster, seamless, and more powerful. Whether capturing new ways to sense the world, advancing form factors, or improving interaction methods, the Devices & Services team is making a positive impact on people's lives through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation and educational content, adapting it based on updates and feedback. Triage product or system issues, debug, track, and resolve them by analyzing the sources of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilizing ML infrastructure and contributing to model optimization and data processing. Qualification : Bachelors degree or equivalent practical experience.

Principal Engineer AI/ML (Hybrid) Location: Hyderabad, India Company: Collins Aerospace (Raytheon Technologies) Experience: 8+ Years Overview Join our Applied Research & Technology (ART) department as a Principal Engineer in AI/ML. Be part of a global team driving innovation in aerospace through advanced technologies like AI/ML, Cloud, and emerging software solutions. Key Responsibilities Lead AI/ML software architecture, development, and deployment. Deliver proof-of-concepts and technology demonstrators across global R&D teams. Contribute to international conferences and publish research papers. Identify and explore disruptive trends in AI/ML, CV, NLP, and Generative AI. Skills & Qualifications Proficiency in Python and one of C/C++/C#/Java. Strong background in AI/ML for embedded or cloud platforms (AWS preferred). Hands-on experience with MLOps and software pipelines. 8+ years in software/AI roles; 2+ years in technical leadership. Bachelor's or Master s in CS, Electronics, or Avionics. AI/ML certifications; Agile/Scrum Master certification preferred. Benefits Group health, life, and accident insurance Transportation and meal vouchers Car lease, LTA, fuel & maintenance support 18 vacation days + 12 contingency leave Employee Scholar Program and pension plan Apply Now Be a pioneer in AI/ML innovation in aerospace. Apply today and help us shape tomorrow s flight technology. Equal Opportunity Statement RTX is an equal opportunity employer. All qualified candidates will receive consideration without regard to race, gender, religion, sexual orientation, or disability status. Qualification : Bachelor's or Masters in CS, Electronics, or Avionics.

Sr Engineer/Sr. Lead - Generative AI Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. In this role, you will develop and deploy advanced generative AI systems, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agent frameworks. Minimum Qualifications Bachelor's degree and 3+ years of software engineering experience, or Master's degree and 2+ years, or Ph.D. with 1+ year of related experience 2+ years of academic or work experience in programming languages such as C, C++, Java, or Python Key Responsibilities Design and implement RAG-based solutions integrating LLMs with external knowledge sources Fine-tune LLMs for specific domains and use cases Develop evaluation frameworks to benchmark and improve generative model performance Build and manage agentic workflows for autonomous AI systems Collaborate with product, engineering, and research teams on AI integration Required Qualifications Bachelor's or Master's in Computer Science or related field 3+ years of experience in Machine Learning/AI engineering Expertise in Python and ML libraries/frameworks like PyTorch and TensorFlow Hands-on experience deploying and fine-tuning LLMs Experience with vector databases and embedding models Familiarity with AI/ML infrastructure on cloud platforms (AWS, GCP, Azure) Strong understanding of RAG architecture Preferred Qualifications Experience with Langchain, LlamaIndex, or Hugging Face Transformers Knowledge of prompt engineering and chain-of-thought reasoning Experience with microservices and containerization (e.g., Docker, Kubernetes) Background in NLP, deep learning, and reinforcement learning Contributions to open-source AI projects Familiarity with MLOps and model deployment pipelines Skills & Competencies Strong problem-solving and analytical mindset Excellent communication and collaboration skills Ability to manage multiple projects in agile environments Focus on clean, maintainable, and efficient code Awareness of ethical AI practices and responsible development Qualification : Bachelor's or Master's in Computer Science or related field

Job Title: AWS DevOps Engineer / Architect Location: Hyderabad Job Type: Full-time Salary: Negotiable Position Overview: We are looking for an experienced AWS DevOps Engineer / Architect to join our team. In this role, you will work with a wide range of AWS services and DevOps tools, enabling the efficient deployment and operation of software in cloud environments. The ideal candidate will have extensive experience in AWS architecture, CI/CD, EKS, CloudFormation, and various DevOps tools and technologies. Key Responsibilities: AWS Infrastructure: Design, implement, and manage AWS cloud infrastructure with a focus on CloudFormation, Lambda, EKS, and other AWS services. Containerization and Orchestration: Manage Docker and Kubernetes environments, ensuring seamless container orchestration and deployment. CI/CD Pipelines: Build and maintain CI/CD pipelines using tools like Jenkins, Bamboo, Azure DevOps, and TeamCity. Scripting and Automation: Develop scripts for automation using languages such as Shell, PowerShell, and Python. Monitoring and Logging: Implement monitoring and logging solutions using tools like Datadog, Splunk, and Wiz to track the performance and health of infrastructure. Collaboration: Work closely with development teams to ensure smooth integration and deployment processes. Infrastructure as Code: Write and maintain infrastructure code using Terraform and AWS CloudFormation. Agile Environment: Work in an Agile environment using tools such as JIRA to manage tasks and collaborate with team members. Security and Best Practices: Ensure the security, performance, and scalability of cloud infrastructure, following industry best practices. Microservices: Work with microservice architectures and ensure the efficient deployment and scaling of services. Qualifications: Educational Qualification: Bachelor s degree in Computer Science, Engineering, or a related field. Experience: 5+ years hands-on experience with AWS services, including Lambda, CloudFormation, EKS, CodePipeline. 3+ years experience with Docker and Kubernetes at an enterprise level. 5+ years experience in CI/CD with tools such as Jenkins, Bamboo, Azure DevOps, and TeamCity. Experience with scripting languages like Shell, PowerShell, Python. Knowledge of microservice architecture, API management, and networking concepts such as DNS, Ingress, LB. Experience with monitoring/logging tools like Datadog, Splunk, and Wiz. Linux experience (at least 3+ years) and Windows Server experience (2-3+ years). Additional Skills: Knowledge of C#, .NET, Java, and object-oriented programming concepts is a plus. Experience with version control systems like GitHub, TFS. Familiarity with security best practices in cloud environments. Preferred Qualifications: AWS Certification is a plus (e.g., AWS Certified Solutions Architect or AWS Certified DevOps Engineer). Other Details: Notice Period: Immediate or negotiable Work Environment: Hybrid work model (combination of remote and on-site) Salary: Negotiable based on experience If you are an experienced AWS DevOps Engineer/Architect with a passion for cloud infrastructure, CI/CD, and automation, we would love to hear from you. Join our dynamic team and help drive innovation in cloud architecture and DevOps practices. Qualification : Bachelors degree in Computer Science, Engineering, or a related field.

Summary: As an AI/ML Developer, you ll play a pivotal role in creating and delivering cutting-edge enterprise applications and automations using Infor s AI, RPA, and OS platform technology. Your mission will be to identify innovative use cases, develop proof of concepts (PoCs), and deliver enterprise automation solutions that elevate workforce productivity and improve business performance for our customers. Title: Software Engineer Experience: 2-5 years. Skill: AI/ML, Python, AWS, SQL Location: Hyderabad Key Responsibilities: Use Case Identification: Dive deep into customer requirements and business challenges. Identify innovative use cases that can be addressed through AI/ML solutions. Data Insights: Perform exploratory data analysis on large and complex datasets. Assess data quality, extract insights, and share findings. Data Preparation: Gather relevant datasets for training and testing. Clean, preprocess, and augment data to ensure suitability for AI tasks. Model Development: Train and fine-tune AI/ML models. Evaluate performance using appropriate metrics and benchmarks, optimizing for efficiency. Integration and Deployment: Collaborate with software engineers and developers to seamlessly integrate AI/ML models into enterprise systems and applications. Handle production deployment challenges. Continuous Improvement: Evaluate and enhance the performance and capabilities of deployed AI products. Monitor user feedback and iterate on models and algorithms to address limitations and enhance user experience. Proof of Concepts (PoCs): Develop PoCs to validate the feasibility and effectiveness of proposed solutions. Showcase the art of the possible to our clients. Collaboration with Development Teams: Work closely with development teams on new use cases. Best Practices and Requirements: Collaborate with team members to determine best practices and requirements. Innovation: Contribute to our efforts in enterprise automation and cloud innovation. Key Requirements: Experience: A minimum 3 years of hands-on experience in implementing AI/ML models in enterprise systems. AI/ML Concepts: In-depth understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Languages: Proficiency in Python or R, along with querying languages like SQL. Data Handling: Ability to work with large datasets, perform data preprocessing, and wrangle data effectively. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Frameworks and Libraries: Familiarity with scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking abilities to identify problems, formulate hypotheses, and design experiments. Business Process Understanding: Good understanding of business processes and how they can be automated. Domain Expertise: Familiarity with Demand Forecasting, Anomaly Detection, Pricing, Recommendation, or Analytics solutions. Global Project Experience: Proven track record of working with global customers on multiple projects. Customer Interaction: Experience facing customers and understanding their needs. Communication Skills: Excellent verbal and written communication skills. Analytical Mindset: Strong analytical and problem-solving skills. Collaboration: Ability to work independently and collaboratively. Educational Background: Bachelor s or Master s degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or specialization in AI, ML, Statistics & Probability, Deep Learning, Computer Vision, or NLP/NLU is advantageous. About Infor: Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.

React JS Lead Experience: 6 - 10+ Year Employment type: Permanent Job function: Information Technology Location: Hyderabad Job Responsibilities: At least 5 years of software development experience having a focus on front-end & back-end development. 2+ years of experience in ReactJS, Node Js Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model Experience with popular React.js workflows (such as Flux or Redux) Experience with data structure libraries (e.g., Immutable.js) Knowledge of isomorphic React is a plus Familiarity with RESTful APIs Knowledge of modern authorization mechanisms, such as JSON Web Token Familiarity with modern front-end build pipelines and tools Experience with common front-end development tools such as Babel, Webpack, NPM, etc. Ability to understand business requirements and translate them into technical requirements A knack for benchmarking and optimization Employee Benefits: 5 day working Free Lunch and Snacks Festivals, family day and team outing Health insurance Flexi working environment Company Sponsored certifications Travel opportunities Bonuses- Fixed, variable, project linked, referral etc. Disclaimer: Machint is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Machint is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.machint.com and Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Database Developer Experience: 6+ Years Job type: New Employment type: Permanent Job function: Information Technology Preferred work mode: Work from office Location: Hyderabad Key Responsibilities: Create and manage data marts, SQL Server Objects, including tables, views, stored procedures, triggers, etc., according to business requirements Architect the database for reporting efficiency, and implement best practices Optimize queries, stored procedures, and indexes to improve reporting performance Participate in design sessions with other developers in the development team Analyze data and provide recommendations for new reports/dashboards Communicate effectively with different groups, and work as a team- player Perform on- going research to explore new features, versions, and related technologies, and provide recommendations to enhance our offerings Assist with the transfer of knowledge of technical skills Competent to work at the highest level of all phases of software development Performs other duties as assigned Educational Qualifications BE, B. Tech, M. Tech in Computer Science or equivalent Skills Experience in travel domain is a plus Excellent problem solving, analytical, and troubleshooting skills Extensive knowledge of T- SQL language Thorough understanding of database schema design and concepts Very strong knowledge of Relational Database Management System (RDBMS) concepts within SQL Server 2005 or above Strong understanding of Online Analytical Processing (OLAP)/Data- Warehousing concepts Knowledge of : SQL Server Reporting Services (SSRS) is a huge plus Proficient in data validation, interpreting and displaying data Ability to work and deliver in an environment with little supervision Strong interpersonal skills and ability to communicate effectively Strong desire to explore new features and product capabilities Knowledge of CLR(C#) SQL functions is a plus Solid knowledge in performance tuning and optimization Strong knowledge of database replication and high- availability solutions Troubleshooting performance with Profiler and Execution Plans Index creation and implementation Strong communication skills Strong organizational, multi- tasking, and time- management skills Possess a strong work ethic and a high level of professionalism Qualification : BE, B. Tech, M. Tech in Computer Science or equivalent

Job Description We are seeking a Senior Kubernetes Architect to join our team. In this role, you will not only fine-tune Kubernetes clusters for optimal performance but also lead our Kubernetes adoption strategy and serve as a thought leader in cloud-native technologies. Job Duties and Responsibilities: Kubernetes Cluster Optimization: Design, implement, and optimize Kubernetes clusters to ensure high availability, scalability, and performance. Diagnose and resolve complex issues related to cluster performance and stability. Develop and implement best practices for Kubernetes deployments, including security, monitoring, and management. Strategic Leadership: Define and drive the Kubernetes adoption strategy across the organization. Collaborate with stakeholders to align Kubernetes strategies with business goals and technical requirements. Advocate for and lead the adoption of cloud-native technologies and methodologies. Thought Leadership: Stay abreast of the latest developments in Kubernetes and related technologies. Share insights and knowledge through internal workshops, presentations, and documentation. Contribute to the community through blogs, speaking engagements, or open-source projects. Architectural Design: Create and maintain architectural frameworks and guidelines for Kubernetes deployments. Evaluate and recommend tools and technologies that complement Kubernetes ecosystems. Lead design reviews and provide guidance on complex architectural decisions. Team Collaboration: Work closely with development, operations, and DevOps teams to integrate Kubernetes solutions effectively. Mentor and guide junior team members on Kubernetes best practices and advanced techniques. Facilitate cross-functional collaboration to drive successful Kubernetes initiatives. Qualifications: Experience: 15+ years of experience in software engineering with at least 8+ years focusing on Kubernetes architecture and operations. Proven experience in designing, deploying, and tuning large-scale Kubernetes clusters. Technical Skills: Deep understanding of Kubernetes architecture, including components such as Pods, Services, Deployments, and Custom Resources. Proficiency in containerization technologies (Docker, containers). Experience with CI/CD pipelines, infrastructure as code (IaC), and cloud platforms (AWS, Azure, GCP). Leadership Skills: Demonstrated ability to lead strategic initiatives and drive adoption of new technologies. Excellent communication skills with the ability to influence and guide diverse teams. Education: Bachelor s degree in computer science, Engineering, or a related field (or equivalent experience). Relevant certifications (e.g., Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD)) are a plus. Benefits: We strongly believe in a competitive salary and benefits package for our employees. Along with the opportunity to work on cutting-edge technologies in the Biotechnology Industry, Clovertex also reimburse AWS certifications at various levels. Clovertex understands the importance of Work Life balance and provides Hybrid work model. Health insurance and benefits for the employees and dependents. Additional Information: Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees. Qualification : Bachelors degree in computer science, Engineering, or a related field (or equivalent experience).

Job Role: Cloud Engineer Key Responsibilities: Design, deploy, and manage AWS cloud solutions for HPC environments, including compute, storage, networking, and security. Implement scalable, reliable infrastructure to support various applications and workloads. Apply AWS best practices for performance optimization, reliability, and cost management. Build and maintain CI/CD pipelines for efficient deployment of applications and infrastructure. Develop and implement CI/CD pipelines tailored for scientific and engineering applications. Diagnose and resolve complex technical issues within AWS environments. Design and implement optimized HPC solutions for scientific and engineering workloads on the cloud. Oversee HPC deployments, ensuring high availability, scalability, and performance. Collaborate with DevOps engineers and developers to ensure seamless integration of HPC solutions. Monitor and troubleshoot HPC workloads in cloud environments. Stay current with advancements in HPC, cloud technologies, and scientific/engineering applications. Document and share best practices related to HPC and cloud integration. Job Requirements: Bachelor s degree in computer science or a related field. 2-3 years of hands-on experience with AWS services (e.g., EC2, S3, IAM, EFS, FSx, VPC). Basic understanding of HPC principles and parallel file systems (e.g., Lustre, GPFS). Experience with Linux system administration. Familiarity with cloud platforms (AWS, Azure, GCP) and HPC services (AWS experience preferred). Proven experience with DevOps pipelines, adapting scientific/engineering applications for the cloud. Strong scripting skills (Bash, Python, etc.). Basic understanding of job schedulers (e.g., Slurm, SGE, PBS). Excellent problem-solving, analytical, and communication skills. Ability to work independently and in a collaborative team environment. Preferred Skills: AWS certifications (e.g., AWS Certified Solutions Architect). Experience with Linux administration. Knowledge of parallel clusters and HPC administration. Familiarity with Slurm job schedulers. Benefits: We strongly believe in a competitive salary and benefits package for our employees. Along with the opportunity to work on cutting-edge technologies in the Biotechnology Industry, Clovertex also reimburse AWS certifications at various levels. Clovertex understands the importance of Work Life balance and provides Hybrid work model. Health insurance and benefits for the employees and dependents. Additional Information: Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees. Qualification : Bachelors degree in computer science or a related field

Job Title: Software DevOps Development Engineer Location: Hyderabad The Software DevOps Development Engineer is responsible for developing and enhancing software solutions to support a secure Software Development Lifecycle (SDLC). This role requires a strong foundation in software development and DevOps practices to facilitate the adoption of the SDLC framework. Job Duties and Responsibilities Develop and Enhance Software: Design, develop, test, and implement software solutions to automate and streamline SDLC processes. Integrate security controls and best practices into software development activities. Collaborate with security teams to ensure software aligns with security standards and requirements. Identify opportunities for software improvement and optimization to enhance efficiency and effectiveness. Support SDLC Framework Adoption: Provide technical guidance and support to development teams in adopting the SDLC framework. Develop and maintain documentation, training materials, and other resources to facilitate framework adoption. Conduct workshops and training sessions to increase awareness and understanding of the SDLC framework. Collaborate with stakeholders to identify and address challenges related to framework implementation. Jenkins Pipeline Development: Design, develop, and maintain Jenkins pipelines for continuous integration and continuous delivery (CI/CD). Automate build, test, and deployment processes to improve software delivery efficiency. Integrate security checks and vulnerability scanning into Jenkins pipelines. Troubleshoot and resolve Jenkins pipeline issues. Scripting and Automation: Write and maintain scripts using Groovy and Python to automate tasks and improve efficiency. Develop custom tools and scripts to support SDLC activities. Integrate scripting solutions with existing tools and systems. Required Skills: Strong software development and DevOps background Proficiency in Jenkins pipelines Expertise in Groovy and Python scripting Understanding of various SDLC methodologies (Agile, Waterfall, etc.) Knowledge of security best practices and tools Problem-solving and troubleshooting skills Excellent communication and collaboration abilities Preferred Skills: Experience with cloud platforms (AWS) Knowledge of containerization technologies (Docker, Kubernetes) Experience with infrastructure as code (IaC) tools (Terraform, Ansible) Benefits: We strongly believe in a competitive salary and benefits package for our employees. Along with the opportunity to work on cutting-edge technologies in the Biotechnology Industry, Clovertex also reimburse AWS certifications at various levels. Clovertex understands the importance of Work Life balance and provides Hybrid work model. Health insurance and benefits for the employees and dependents. Additional Information: Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees.

Senior SAP FICO Solution Architect Join us and be part of our successful team! Baker Hughes, a leader in the oilfield services industry, offers exceptional opportunities for qualified individuals eager to grow within our high-performance organization. We leverage cutting-edge technologies to create value for our customers and shareholders, while ensuring safety and efficiency in all we do. Partner with the Best As a Senior SAP FICO Solution Architect, your responsibilities will include: Identifying and analyzing business requirements and functional specifications to design solutions that align with business needs and SAP capabilities, utilizing SAP PaPM and FICO. Configuring SAP PaPM/FICO system settings, managing unit, integration, and acceptance testing, and developing functional and technical specifications. Designing and implementing advanced financial models and solutions to support complex calculations, allocations, and reporting. Evaluating current business processes and systems to recommend improvements and implement best practices. Delivering end-to-end solutions that meet critical business objectives while ensuring alignment with industry standards. Troubleshooting complex issues, collaborating with subject matter experts to resolve defects. Proactively identifying opportunities for system optimization, performance improvements, and increased efficiency. Creating test scenarios, executing test cases, documenting test results, and ensuring quality assurance for the business. Supporting project planning, post-implementation activities, documentation, cutover plans, and transition planning. Fuel Your Passion To excel in this role, you should have: A minimum of 10-15 years of experience in SAP FI/CO modules. At least 5 years of techno-functional experience in SAP Finance. 2-3 years of proven experience as an SAP PaPM Systems Analyst, Developer, or Consultant, with a strong track record of successful implementations and system evolution, including configuration and customization. A Bachelor's or Master's degree in finance, business, technical discipline, or equivalent experience. Work in a Way That Works for You At Baker Hughes, we recognize that everyone has their unique way of working. In this role, we offer flexible working hours to help you achieve work-life balance and be most productive when it suits you best. Working With Us Our people are at the core of everything we do. At Baker Hughes, we re committed to developing, engaging, and empowering our employees, allowing them to bring their full authentic selves to work. We invest in the well-being and development of our team, training, rewarding talent, and cultivating leadership at all levels to drive excellence. Working for You At Baker Hughes, we believe that innovation is key to our future success. We prioritize employees who embrace change and contribute to driving progress. As part of our team, you ll receive a comprehensive benefits package, including: Flexible work-life balance policies and wellness programs Private medical care options Life insurance and disability programs Tailored financial programs Additional voluntary benefits About Us Baker Hughes is a global energy technology company providing innovative solutions to energy and industrial customers worldwide. With over 120 years of experience, we operate in more than 120 countries, leading the way in energy transformation by making it safer, cleaner, and more efficient for the world. Join Us If you re looking for an opportunity to make a real impact in a company that values innovation, progress, and a forward-thinking approach, we want to hear from you! Become part of a team that will challenge and inspire you. Together, we can take energy forward.