software engineer

industrial engineer

lean engineer

process engineer

qa engineer

ai engineer

Cisco

<div>
 
 Meet The Team
 
 
 
 The Cisco AI Software &amp; Platform Group drives the development of groundbreaking generative AI applications. We empower Cisco's diverse product portfolio, spanning networking and security, with intelligent assistants and agents. We work on cutting-edge technologies that proactively defend against threats, safeguard critical business assets, and simplify security operations. Fuelled by a passion for AI/ML, we strive to create a secure future for businesses. Our collaborative and passionate team thrives on tackling complex challenges and delivering innovative solutions.
 
 
 
 Your Impact
 
 
 
 We are seeking a talented and passionate Software Engineer to join our growing AI team. In this role, you will play a crucial part in building cutting-edge generative AI applications that will power innovation across our entire company. You will work closely with data scientists, collaborate with other engineers and cross-functional teams, and contribute to the development of robust, scalable, and high-performance AI solutions.
 
 
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Develop cutting-edge AI applications: Design and build innovative generative AI applications that are secure, reliable, and scalable.
 </li>
 <li>
 Translate business needs into technical solutions: Work closely with stakeholders to understand business requirements and translate them into technical specifications and roadmaps.
 </li>
 <li>
 Experiment and innovate: Experiment with different generative AI models and architectures, evaluate their performance, and identify opportunities for improvement.
 </li>
 <li>
 Build developer tools: Develop and maintain APIs, SDKs, and other tools that enable seamless integration of AI capabilities into various applications.
 </li>
 <li>
 Instrumentation: Implement the right types of instrumentation to supervise and measure the performance, reliability, and security.
 </li>
 <li>
 Fixing: Debug and fix integration issues, identifying bottlenecks or errors and implementing solutions to optimize service interactions.
 </li>
 <li>
 Scale and Performance Optimization: Work on scale and performance tuning and optimization of different components to ensure efficient, responsive operation for handling large volumes of requests.
 </li>
 <li>
 Collaborate effectively: Work closely with data scientists, researchers, product managers, engineers, and other stakeholders to ensure successful project delivery.
 </li>
 <li>
 Contribute to a strong engineering culture: Participate actively in code reviews, knowledge sharing sessions, and team discussions.
 </li>
 <li>
 Stay ahead of the curve: Continuously learn and stay abreast of the latest advancements in AI/ML research, industry trends, and best practices.
 
 </li>
 </ul>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, or a related field.
 </li>
 <li>
 4-7 years of professional software development experience using programming languages such as Python, Java, or Go
 </li>
 <li>
 Proven experience as a Backend Engineer with expertise in integrating and scaling complex services.
 </li>
 <li>
 Strong foundation in computer science fundamentals, with a focus on data structures, algorithms, and software design principles.
 </li>
 <li>
 Strong understanding of AI service operations, including Generative AI, and the ability to design and build interfaces between them.
 </li>
 <li>
 Experience with instrumentation and monitoring tools for measuring service performance.
 </li>
 <li>
 Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Master's degree in Computer Science, Artificial Intelligence, or a related field is a strong plus.
 </li>
 <li>
 Knowledge of security best practices and compliance standards.
 </li>
 <li>
 Effective teamwork and communication skills to collaborate with cross-functional teams.
 
 </li>
 </ul>
 </ul>
 Why Cisco?
 
 
 At Cisco, we&rsquo;re revolutionizing how data and infrastructure connect and protect organizations in the AI era &ndash; and beyond. We&rsquo;ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 
 
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you&rsquo;ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 
 
 We are Cisco, and our power starts with you.
</div>

Software Engineer,Backend

West Pharmaceutical Services

<div>
 
 Description
 
 
 
 
 
 Job Summary
 
 
 
 
 The Data Scientist, D&amp;T will be part of a multidisciplinary team responsible for designing and developing innovative data-driven analytical solutions. This role will leverage advanced analytics, Machine Learning, NLP, Computer Vision, and Generative AI to address complex business challenges and deliver measurable value.
 
 
 
 Essential Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Partner with stakeholders across functions to uncover and prioritize use cases where ML, statistical modeling, or GenAI/Agentic AI solutions can create business impact.
 </li>
 <li>
 Lead end-to-end model/agent lifecycles: from problem definition, data exploration, feature engineering, and model/agent design to deployment, monitoring, and continuous improvement.
 </li>
 <li>
 Ingest, integrate, and preprocess large-scale structured, semi-structured, and unstructured datasets, ensuring high standards of data quality and integrity.
 </li>
 <li>
 Develop and enhance scalable data pipelines and infrastructure; proactively detect and mitigate data drift, bias, or quality gaps.
 </li>
 <li>
 Drive development of specialized computer vision solutions (e.g., object detection, classification, OCR, segmentation) for business-critical applications such as manufacturing, quality control, and compliance monitoring
 </li>
 <li>
 Design and operationalize CI/CD and AgentOps workflows: model/dataset versioning, reproducibility, automated testing, deployment, rollback, and governance.
 </li>
 <li>
 Define, implement, and monitor evaluation metrics (accuracy, robustness, fairness, latency, safety, etc.) for both offline and production environments.
 </li>
 <li>
 Conduct error analysis, monitor live model/agent performance, and ensure compliance with AI governance and ethical standards.
 </li>
 <li>
 Create intuitive dashboards, reports, and data visualizations (e.g., Power BI, Fabric) to communicate insights to technical and non-technical stakeholders.
 </li>
 <li>
 Translate technical findings into actionable business recommendations; clearly communicate risks, performance, and opportunities to decision-makers.
 </li>
 <li>
 Collaborate closely with BI, engineering, and domain experts to operationalize data-driven solutions at scale.
 </li>
 <li>
 Awareness of compliance, SOPs, and ethical AI practices in enterprise environments.
 </li>
 <li>
 Working knowledge of CI/CD, MLOps and AgentOps practices: reproducible pipelines, monitoring, governance with telemetry and observability.
 
 
 </li>
 </ul>
 
 Additional Responsibilities
 
 
 
 
 
 Education
 
 
 
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science, Mathematics, Statistics, Data Science, or related quantitative field.
 
 
 </li>
 </ul>
 
 
 Work Experience
 
 
 
 
 <ul>
 <li>
 3 - 6 years of relevant experience in data science, machine learning, or applied AI roles.
 
 
 </li>
 </ul>
 
 Preferred Knowledge, Skills And Abilities
 
 
 
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Strong proficiency in Python, SQL and prompt engineering for data manipulation, analysis, and querying large datasets.
 </li>
 <li>
 Context engineering and proficiency in executing GenAI projects at scale with prompt versioning, evaluation and tracing to debug GenAI pipelines
 </li>
 <li>
 Proficiency with Computer Vision libraries and frameworks (e.g., OpenCV, TensorFlow, PyTorch, StableDiffusion) and experience in building real-world image/video analysis pipelines.
 </li>
 <li>
 Familiarity with Generative AI and LLMs, including experience building Agentic-RAG pipelines using frameworks such as ReAct with tool integrations, memory, and reflection
 </li>
 <li>
 Solid understanding of how to evaluate/test ML &amp; AI models: accuracy, robustness, fairness, drift, latency, interpretability, and safety.
 </li>
 <li>
 Exposure in building ETL pipelines and advanced feature engineering workflows for ML/AI, including vision-based applications
 </li>
 <li>
 Strong foundation in statistics: regression, hypothesis testing, probability distributions
 </li>
 <li>
 Independent problem-solving skills, creativity, and the ability to prioritize in fast-paced environments.
 </li>
 <li>
 Strong collaboration and communication skills, with the ability to work effectively in global and virtual settings.
 </li>
 <li>
 Familiarity with cloud platforms ( Azure preferred , including Azure AI Foundry, AzureML, OpenAI platform, Synapse and storage).
 </li>
 <li>
 Skilled in data visualization and BI tools (Power BI or equivalent), with the ability to present complex insights clearly to non-technical stakeholders.
 </li>
 <li>
 Agentic frameworks like lanGraph, AutoGen, CrewAI etc. familiar with implementing graph RAG, multimodal RAG
 
 </li>
 </ul>
 </ul>
 
 
 License and Certifications
 
 
 
 
 
 
 Travel Requirements
 
 
 
 
 10%: Up to 26 business days per year
 
 
 
 
 Physical Requirements
 
 
 
 
 Sedentary-Exerting up to 10lbs/4kgs of force occasionally, and/or negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time.
</div>

Data Scientist, D&T

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 PhD degree in Computer Science, a related technical field, or equivalent practical experience.
 </li>
 <li>
 Experience coding in one of the following programming languages including but not limited to: C, C++, Java, or Python.
 </li>
 <li>
 Experience in one or more of the following: architecting or developing distributed systems, concurrency, multi-threading, or synchronization.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Experience with performance, reliability, systems data analysis, visualization tools, or debugging.
 </li>
 <li>
 Experience in code and system health, diagnosis and resolution, and software test engineering.
 </li>
 <li>
 Research experience in algorithms, architecture, artificial intelligence, compilers, database, data mining, distributed systems, machine learning, networking, or systems.
 </li>
 <li>
 Experience with performance, reliability, systems data analysis, visualization tools, architecture, compilers, database, data mining, networking or systems.
 </li>
 <li>
 Experience with Unix/Linux, Kernel development, microcontrollers, SoC, device drivers, hardware, power management, ARM processors, performance optimization, file systems, bootloading, firmware, x86 assembly, system BIOS, or hardware/software integration.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google Cloud's software engineers build the next-generation technologies that transform how billions of users connect, explore, and interact with information and each other. We're looking for engineers who bring fresh ideas across areas like information retrieval, distributed computing, large-scale system design, networking, data storage, security, AI, and natural language processing&mdash;the list keeps growing.
 
 
 As a Software Engineer, you&rsquo;ll work on projects critical to Google Cloud&rsquo;s evolving needs, with the flexibility to move between teams and initiatives as both you and our business grow. You'll be empowered to think like an owner, proactively identifying customer needs, taking action, and driving innovation. We value engineers who are versatile, display leadership, and eagerly handle challenges across the full stack.
 
 
 Within Google Cloud, the Machine Learning, Systems, and Cloud AI (MSCA) organization creates category-defining AI/ML capabilities built on Google&rsquo;s frameworks, infrastructure, and services. We design and manage the software, hardware, and ML systems infrastructure that power Google services like Search and YouTube, and Google Cloud products.
 
 
 As a PhD Software Engineer in MSCA, your research expertise will help solve real-world problems at a massive scale. You'll collaborate on innovative projects in areas such as AI, ML, and distributed systems, contributing to products used by billions. With thousands of PhDs across Google, your academic background will be part of a strong community of researchers and engineers shaping the future of technology.
 
 
 We prioritize security, efficiency, and reliability in everything we do, from developing TPUs to operating one of the world&rsquo;s largest networks, while shaping the future of hyperscale computing.
 
 
 The AI and Infrastructure team is redefining what&rsquo;s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
 
 
 We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide on available technologies.
 </li>
 <li>
 Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Lead and collaborate on team projects to carry out design, analysis, and development across the stack using your research expertise.
 </li>
 <li>
 Study, diagnose and resolve complex technical modeling and systems issues by analyzing the sources of the issues and the impact on quality.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer, PhD, Early Career, Campus, 2025 Start

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or related technical fields.
 </li>
 <li>
 2 years of experience with data structures or algorithms.
 </li>
 <li>
 Experience developing accessible technologies.
 
 
 </li>
 </ul>
 
 About the job
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
 
 
 The AI and Infrastructure team works on the world&rsquo;s toughest problems, redefining what&rsquo;s possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We&rsquo;re at the center of amazing work at Google by being the &ldquo;flywheel&rdquo; that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services.
 
 
 In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
 </li>
 <li>
 Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer III, Google Cloud

Trusting Social Career Page

<div>
 We are an AI Fintech company specializing in assessing credit profiles of consumers in emerging markets combining pioneering AI with large alternative data sources. In 2020 we reached our ambitious milestone of credit profiling 1bn consumers spanning 4 countries - Vietnam, Indonesia, India &amp; the Philippines - and building a platform for the wider industry and the financial services industry, in particular, to provide the 'un &amp; under' served access to credit. At the core of this initiative has been our strict and unwavering adherence to the norms of consumer data privacy and consumer data rights.
 
 
 But we're not satisfied as we embark on the next leg of our journey to deliver 100 million credit lines to consumers in our markets. Although this goal is ambitious, we truly believe that by harnessing the power of AI &amp; Big Data we can deliver financial access at an unprecedented scale.
 
 
 As a firm, we're audacious problem solvers motivated by our impact on society. We deeply espouse the values of ownership - of our actions and initiatives, integrity in all we do, and agility in execution.
 
 
 We place great importance on doing what is right, what is best, and what is innovative. And we seek people to champion these values and beliefs as we grow.
 
 
 We are seeking a Lead Data Scientist to lead the design, development, and deployment of machine learning systems that power critical FinTech workflows such as credit decisioning, fraud prevention, and intelligent document processing. This role requires deep hands-on expertise across ML modeling, OCR, NLP, and Large Language Models (LLMs), along with the ability to make sound technical decisions and mentor junior team members.
 
 
 You will work at the intersection of data science, engineering, and business, owning end-to-end model development and ensuring solutions are scalable, explainable, and production-ready.
 
 
 Come join our team if you are smart, driven, and want to make a difference in the world with the most advanced and fascinating technology. We can satisfy your desire to explore new territory and give you the runway to make big impacts.
 
 
 What you will do
 
 
 Key responsibilities include:
 
 
 <ul>
 <li>
 Own end-to-end ML solutions: problem framing, data exploration, modeling, validation, deployment, and monitoring.
 </li>
 <li>
 Make architectural and modeling decisions balancing accuracy, latency, scalability, and regulatory constraints.
 </li>
 <li>
 Review model designs and code, setting best practices for the data science team.
 </li>
 <li>
 Design and deploy advanced ML models for FinTech use cases such as credit risk, fraud detection, and behavioral analytics.
 </li>
 <li>
 Lead feature engineering, model optimization, and rigorous offline/online evaluation.
 </li>
 <li>
 Ensure models are interpretable, fair, and compliant, with clear documentation for internal and external stakeholders.
 </li>
 <li>
 Lead development of document intelligence systems, including OCR, layout analysis, document classification, and entity extraction.
 </li>
 <li>
 Architect and implement NLP and LLM-based solutions for document understanding, semantic search, and automation.
 </li>
 <li>
 Partner closely with engineering to productionize models in real-time and batch systems.
 </li>
 <li>
 Design monitoring for model performance, drift, bias, and data quality.
 </li>
 <li>
 Mentor junior data scientists and provide technical guidance across projects.
 </li>
 <li>
 Communicate complex technical concepts clearly to product, risk, and leadership teams.
 
 
 
 </li>
 </ul>
 What you will need to have
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Masters preferred.
 </li>
 <li>
 6+ years of experience in data science or applied machine learning, with models deployed in production.
 </li>
 <li>
 Strong expertise in machine learning, statistics, and data modeling.
 </li>
 <li>
 Advanced proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), NLP (transformers, embeddings, sequence models), OCR, LLMs, including fine-tuning, prompt engineering, and RAG architectures.
 </li>
 <li>
 Prior experience in FinTech, financial services, or regulated industries is a plus
 </li>
 <li>
 Familiarity with MLOps (model versioning, monitoring, CI/CD, feature stores).
 </li>
 <li>
 Experience with explainability and fairness frameworks (e.g., SHAP, bias testing).
 
 
 
 </li>
 </ul>
 At Trusting Social, we deeply espouse the values of ownership, integrity, and agility in execution. We believe in doing what is right, what is best, and what is innovative. If you share our values and beliefs, we invite you to join us on our journey to deliver financial access at unprecedented scale.
 
 
 
 About Us
 
 
 
 Trusting Social, an AI Fintech pioneer, assessed 1bn consumers across 4 countries, revolutionizing credit access. Our unwavering commitment to consumer data rights drives our journey to provide 100 million credit lines in emerging markets. With AI &amp; Big Data, we aim to deliver unprecedented financial access. As audacious problem solvers, we champion ownership, integrity, and innovation. Join us if you're driven to impact society, embracing advanced technology to make a difference. We offer a platform for exploration and impactful contributions. If you're ready to innovate and drive change, come be a part of our team.
 
 
 More information about us please visit our website- https://trustingsocial.com
</div>

Lead Data Scientist/PM - India

Oracle

<div>
 
 Job Description
 
 
 
 Oracle Health Applications &amp; Infrastructure (OHAI) is transforming healthcare by leveraging AI and advanced technologies to deliver automated, patient-centric solutions globally. The Provider Reimbursement Team is central to this transformation, building scalable services to automate revenue cycle management workflows.
 
 
 We are seeking an experienced Member of Technical Staff (IC2) to join our growing engineering team. This position will play a key role in designing and developing high-quality software solutions utilizing AI/ML that drive business success and meet customer needs. The Provider Reimbursement team provides essential revenue cycle management capabilities, such as charge capture, contract management and claims generation.
 
 
 As a Member of Technical Staff, you will collaborate with cross-functional teams to design, build, and maintain high-performance systems for both new and existing products. You will architect complex systems, ensure smooth integration across technologies, and provide technical leadership to both junior engineers. A
 
 
 
 Responsibilities
 
 
 
 You'll work in an agile environment to contribute hands-on coding expertise, influence technical decisions, mentor engineers, and drive improvements in our engineering processes. You will work closely with data scientists, engineers, and other stakeholders to develop and deploy scalable, efficient, and reliable models that drive business value, while leading initiatives to improves reference data management across EHR.
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 BS in Computer Science or related field, or equivalent experience
 </li>
 <li>
 3+ years in software development, with 1+ years in machine learning engineering
 </li>
 <li>
 Strong programming skills in languages such as Python, Java, or Scala
 </li>
 <li>
 Experience with product lifecycle and delivering products from scratch
 </li>
 <li>
 Experience analyzing data, generating insights, and telling stories with data
 </li>
 <li>
 Systematic problem-solving, strong communication, ownership, and drive
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Career Level - IC2
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

Software Developer 2 (Kolkata)

Nagarro

<div>
 
 Company Description
 
 
 
 
 👋🏼
 
 
 We're Nagarro.
 
 
 
 We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!
 
 
 
 Job Description
 
 
 
 
 REQUIREMENTS:
 
 
 
 <ul>
 <li>
 Total Experience: 7+ years
 </li>
 <li>
 Must have experience in Machine Learning Fundamentals, Data Analysis &amp; Visualization, Statistics &amp; Probability, SQL, Model Packaging &amp; Deployment.
 </li>
 <li>
 Must have hands on generative AI fundamental, RAG, text to SQL.
 </li>
 <li>
 Should have experience in Python or R for Data Science.
 </li>
 <li>
 Should have experience in Classification-regression, Forecasting, Anomaly detection, Market mix model, Predictive analysis, Unsupervised Models, Recommendation Systems, Natural Language processing &amp; Optimization.
 </li>
 <li>
 Should have experience in Data science on AWS/Azure/GCP.
 </li>
 <li>
 Must have exposure in model deployment using docker/Kubernetes.
 </li>
 <li>
 Strong troubleshooting skills in different disparate technologies and environments.
 </li>
 <li>
 Should be enthusiastic about different areas of work and exploring new technologies.
 </li>
 <li>
 Should have clarity of thought and strong communication skills to effectively pitch solutions.
 </li>
 <li>
 Must have ability to explore and grasp new technologies.
 </li>
 <li>
 Must be capable of mentoring team members in projects and helping them keep up with new technologies.
 </li>
 <li>
 Should be empowering the team members to be solution providers and enable a flat environment where everyone&rsquo;s point of view is considered, and feedback is encouraged.
 
 
 </li>
 </ul>
 
 RESPONSIBILITIES:
 
 
 
 <ul>
 <li>
 Writing and reviewing great quality code
 </li>
 <li>
 Understanding the client&rsquo;s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
 </li>
 <li>
 Mapping decisions with requirements and be able to translate the same to developers.
 </li>
 <li>
 Identifying different solutions and being able to narrow down the best option that meets the client&rsquo;s requirements.
 </li>
 <li>
 Defining guidelines and benchmarks for NFR considerations during project implementation
 </li>
 <li>
 Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
 </li>
 <li>
 Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
 </li>
 <li>
 Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
 </li>
 <li>
 Understanding and relating technology integration scenarios and applying these learnings in projects
 </li>
 <li>
 Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
 </li>
 <li>
 Carrying out POCs to make sure that suggested design/technologies meet the requirements.
 </li>
 <li>
 Should be open to travel onsite once a month.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Technology, or a related field.
</div>

Staff Engineer, Data Science

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