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Gurgaon,Haryana,India Job ID 770273 About this opportunity Technical Sales Specialist Cognitive Network Solutions (CNS) is within Global PreSales Center - Bid Office Organization, responsible for providing technical and domain expertise during the sales cycle for solutions related to the RAN Intelligent Controller (RIC) and rApps. You will closely interact with Sales, Product and engineering teams to demonstrate technical feasibility and to ensure alignment of proposed solutions with customer requirements. What you will do Providing quality response for the RFx/tender within the given timeline. Develop solution architectures and respond to RFPs/RFIs for rApp-based offerings. Support in pre-sales RFXs deliverables i.e. Statement of Compliance SoC, Dimensioning, HW -SW configuration in ECP / ACS, Solution description and services estimates. Solution and proposal’s strategy alignment and support to CUs. During RFX , engage with customers units responsible to understand their business and technical needs related to RAN optimization and automation. Articulate the technical capabilities and business benefits of rApps. Create technical documentation including solution blueprints, architecture diagrams, and integration plans. Coordinate with cross SA ( NM) / BA ( BNEW) to tailor rApp solutions based on customer requirements. Collaborate with product management to influence rApp product roadmap based on market feedback. You will bring Good Understanding of the Sales process. Knowledge of SMO (Service Management and Orchestration) and Non-RT RIC. Familiarity with AI/ML frameworks and APIs used in rApp development. Understanding of containerization (Docker, Kubernetes), CI/CD pipelines is a plus. Experience with OSS/BSS integration and RAN analytics. Deep knowledge of O-RAN specifications, RIC architecture, and the rApp ecosystem. Industry trends in 5G, AI/ML for RAN, and O-RAN Alliance developments. Preferred Skills Interpersonal skills Presentation & Communication Skills Teamwork & Collaboration Analytical Thinking Relating & Networking Delivery Results & Customer Expectations Adapting & Responding to Change Able to meet tight deadlines Problem Solving & Strategic Thinking. Ability to work independently and across cross-functional teams. At least 6-10 years of experience from the Telecom industry. Bachelor’s degree in computer science, Electronics engineering or similar Fluent in English in oral and written communication. Preferred Certifications (Optional): O-RAN Alliance training/certification TM Forum or similar telecom standards certifications Cloud certifications (AWS/GCP/Azure) are a plus.

Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python Demonstrable competency in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests. Must have experience in dealing with outliers, denoising data and handling the impact of pandemic like situations. Should be able to perform EDA of raw data & feature engineering wherever applicable Demonstrable competency in Data Visualisation using the Python/R Data Science Stack. Should be able to leverage cloud platforms for training and deploying large scale solutions. Should be able to train and evaluate ML model using various machine learning and deep learning algorithm. Retrain and maintain model accuracy in deployment. Should be able to package & deploy large scale models on on-premise systems using multiple approaches including docker. Should be able to take complete ownership of the assigned project Experience of working in Agile environments Well versed with JIRA or equivalent project tracking tool Knowledge of cloud platforms (AWS, Azure and GCP) Exposure to No SQL databases (MongoDB, Cassandra, Cosmos DB, HBase) Forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts) An experience with large data sets and distributed computing (Hive/Hadoop/Spark) Transfer learning using state of art models in different spaces – vision, NLP and speech. - Integration with external services and Cloud API. Working with data annotation approaches and tools for text, images and videos

Ready to build the future with AI? At Genpact, we don’t just keep up with technology— we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation -driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Man agement Trainee -Human Resource Analytics In this role, you will act as a Technical Leader for our People Analytics projects Responsibilities Lead the People Analytics Projects Accountable for all technical details of the projects and is expected to run them independently, end to end. Constantly upskilled with latest developments in the field of Machine Learning / Deep Learning Ensure we incorporate Machine Learning / Deep Learning, as applicable. Own entire project life cycle – Data collection, Data clean up and then modelling. Adept in storyboarding project insights Qualifications we seek in you! Minimum qualifications Relevant experience in Machine Learning / Deep Learning . Preferred Qualifications/ Skills Excellent hands-on experience in Machine Learning techniques such as Decision Trees (Random Forest), Support Vector Machines, Regression (Linear & Logistic) Should have hands on experience in Deep Neural network techniques such as RNNs and LSTMs Have worked on NLP. Adept at visualizing data and presenting it to stakeholders. Good with statistical concepts such as Probability Distributions and Hypotheses testing. Should have run Machine Learning / Deep Learning projects on cloud servers and handled large datasets. Good rank on Kaggle competitions is preferred. Excellent communication (verbal & written) skills – should be adept in storyboarding project insights. Languages preferred: Python or R Needs to be independent and self-motivated and comfortable working independently. Experience in ML Ops, Airflow would be an added advantage . Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact 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. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Management Trainee Primary Location India-Gurugram Education Level Bachelor's / Graduation / Equivalent Job Posting Jul 21, 2025, 1:55:03 AM Unposting Date Ongoing Master Skills List Operations Job Category Full Time

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Title: AI Security Architect Job Description Cyber Security is seeking a Security architect to join the Cyber AI team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our mission. This role is a key contributor to our practice and will be directly responsible for design, development, deployment, design reviews and processing of all of AI first projects. The successful candidate will work closely with key stakeholders to drive key project activities and involve Cybersecurity domains are included in AI development. We are seeking candidates with passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cyber Security. Responsibilities Work in or lead an agile team to design and build architectures on AI solutions. Engage proactively with customers to better understand their needs and obtain feedback. Acquire and develop technology agnostic reference architectures across AI Security Architecture. Reviewing current state AI system security architectural foundations and recommend enhancements with target roadmaps Develop vendor agnostic security solution architecture with technology reference architecture aligned to various best practices such as NIST, ENISA, ETSI etc. Vital contributor to develop security design patterns, framework, approach, and methodology in the discipline of AI Security, developing project timelines for ongoing system upgrades Ensure to collaborate across domain and solution architects at different sub-competency of Cyber Security and act as CoE Champion to aggregated best practices of security reference architecture. Conduct Technology and Infrastructure Security Assessment in terms of threat, vulnerability, and risk aspects of an enterprise security architecture perspective. Develop Technology design and program planning to bring in value added solution delivery and ensure strategic alignment and long-term business benefits Engage in grooming security analysts and solution architects to bring in holistic perspective in every solution delivery Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making. Thorough understanding of linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis. Knowledge to build a variety of AI applications, including language translation, visual recognition or perception, and targeted advertising based on sentiment analysis. Develop scalable algorithms capable of learning, analyzing and predicting future events. Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners. Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques. Ability to perform in depth data analysis including but not limited to: Machine Learning Classification Optimization Time Series analysis Pattern Recognition Candidate must have thorough understanding and experience on following in terms of AI and AI Security Threat models Security analysis Design and integration into AI and ML infra Some familiarity with offensive perspective on AI – attack model perspective, model extraction, data poison, etc. QUALIFICATIONS: Required Skills 5+ years of experience as Architect with skills on AI and AI Systems. 3+ years working with languages Python and SQL 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc.) 5 or more years’ experience presenting and delivering results to business partners and leadership. 2 or more years’ experience in Cyber Security domain knowledge. Strong project management, negotiation and interpersonal skills Advanced written and verbal communication skills and presentation skills You may also have a Bachelor's and/or post graduate degree in computer science, information systems, engineering, or a related major. Preferred Certifications in data science, deep learning, and ML Exposure to Generative AI and NLP Experience on multi cloud. 2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.) 2 or more years with modern data engineering with APIs 2 or more years’ experience in Cyber Security domain knowledge. M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study. 2 or more years applying agile SDLC. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. We’re building a product data platform to bring Salesforce’s product signals into the agentic era — powering smarter, adaptive, and self-optimizing product experiences. As a Senior Manager , you’ll lead a team of talented engineers in designing and building trusted, scalable systems that capture, process, and surface rich product signals for use across analytics, AI/ML, and customer-facing features. You’ll guide architectural decisions, drive cross-functional alignment, and shape strategy around semantic layers, knowledge graphs, and metrics frameworks that help teams publish and consume meaningful insights with ease. We’re looking for a strategic, systems-minded leader who thrives in ambiguity, excels at cross-org collaboration, and has a strong technical foundation to drive business and product impact. What You’ll Do Lead and grow a high-performing engineering team focused on batch and streaming data pipelines using technologies like Spark, Trino, Flink, and DBT Define and drive the vision for intuitive, scalable metrics frameworks and a robust semantic signal layer Partner closely with product, analytics, and engineering stakeholders to align schemas, models, and data usage patterns across the org Set engineering direction and best practices for building reliable, observable, and testable data systems Mentor and guide engineers in both technical execution and career development Contribute to long-term strategy around data governance, AI-readiness, and intelligent system design Serve as a thought leader and connector across domains to ensure data products deliver clear, trusted value What We’re Looking For 10+ years of experience in data engineering or backend systems, with at least 2+ years in technical leadership or management roles Strong hands-on technical background, with deep experience in big data frameworks (e.g., Spark, Trino/Presto, DBT) Familiarity with streaming technologies such as Flink or Kafka Solid understanding of semantic layers, data modeling, and metrics systems Proven success leading teams that build data products or platforms at scale Experience with cloud infrastructure (especially AWS — S3, EMR, ECS, IAM) Exposure to modern metadata platforms, Snowflake, or knowledge graphs is a plus Excellent communication and stakeholder management skills A strategic, pragmatic thinker who is comfortable making high-impact decisions amid complexity Why Join Us This is your opportunity to shape how Salesforce understands and uses its product data. You’ll be at the forefront of transforming raw product signals into intelligent, actionable insights — powering everything from internal decision-making to next-generation AI agents. If you're excited by the challenge of leading high-impact teams and building trusted systems at scale, we'd love to talk to you. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form . Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Assistant Vice President– Generative AI – Systems Architect Role Overview: We are looking for an experienced Systems Architect with extensive experience in designing and scaling Generative AI systems to production. This role requires an individual with deep expertise in system architecture, software engineering, data platforms, and AI infrastructure, who can bridge the gap between data science, engineering and business. You will be responsible for end-to-end architecture of Gen.AI systems including model lifecycle management, inference, orchestration, pipelines Key Responsibilities: Architect and design end-to-end systems for production-grade Generative AI applications (e.g., LLM-based chatbots, copilots, content generation tools). Define and oversee system architecture covering data ingestion, model training/fine-tuning, inferencing, and deployment pipelines. Establish architectural tenets like modularity, scalability, reliability, observability, and maintainability. Collaborate with data scientists, ML engineers, platform engineers, and product managers to align architecture with business and AI goals. Choose and integrate foundation models (open source or proprietary) using APIs, model hubs, or fine-tuned versions. Evaluate and design solutions based on architecture patterns such as Retrieval-Augmented Generation (RAG), Agentic AI, Multi-modal AI, and Federated Learning. Design secure and compliant architecture for enterprise settings, including data governance, auditability, and access control. Lead system design reviews and define non-functional requirements (NFRs), including latency, availability, throughput, and cost. Work closely with MLOps teams to define the CI /CD processes for model and system updates. Contribute to the creation of reference architectures, design templates, and reusable components. Stay abreast of the latest advancements in GenAI , system design patterns, and AI platform tooling. Qualifications we seek in you! Minimum Qualifications Proven experience designing and implementing distributed systems, cloud-native architectures, and microservices. Deep understanding of Generative AI architectures, including LLMs, diffusion models, prompt engineering, and model fine-tuning. Strong experience with at least one cloud platform (AWS, GCP, or Azure) and services like SageMaker, Vertex AI, or Azure ML. Experience with Agentic AI systems or orchestrating multiple LLM agents. Experience with multimodal systems (e.g., combining image, text, video, and speech models). Knowledge of semantic search, vector databases, and retrieval techniques in RAG. Familiarity with Zero Trust architecture and advanced enterprise security practices. Experience in building developer platforms/toolkits for AI consumption. Contributions to open-source AI system frameworks or thought leadership in GenAI architecture. Hands-on experience with tools and frameworks like LangChain , Hugging Face, Ray, Kubeflow, MLflow , or Weaviate /FAISS. Knowledge of data pipelines, ETL/ELT, and data lakes/warehouses (e.g., Snowflake, BigQuery , Delta Lake). Solid grasp of DevOps and MLOps principles, including containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, and model monitoring. Familiarity with system design tradeoffs in latency vs cost vs scale for GenAI workloads. Preferred Qualifications: Bachelor’s or Master’s degree in computer science, Engineering, or related field. Experience in software/system architecture, with experience in GenAI /AI/ML. Proven experience designing and implementing distributed systems, cloud-native architectures, and microservices. Strong interpersonal and communication skills; ability to collaborate and present to technical and executive stakeholders. Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, Google Cloud Professional Data Engineer). Familiarity with data governance and security best practices. Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact 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. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Assistant Vice President Primary Location India-Hyderabad Schedule Full-time Education Level Master's / Equivalent Job Posting Jul 21, 2025, 2:57:18 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role : As the Sr. Manager, Agentic AI & Automation, you will lead transformative initiatives that drive operational efficiency, optimize workflows, and enable scalable automation across multiple domains within our company. Working in one of the largest global Media & Entertainment companies, this pivotal role offers an exciting opportunity to redefine how we leverage technology to enhance content production, delivery, and customer experiences. You will be responsible for developing and executing automation strategies that integrate seamlessly with our AI and digital transformation objectives, helping us stay ahead of the curve in a highly competitive industry. As Sr. Manager – Automation, you will play a critical role in architecting, deploying, and scaling automation solutions—including emerging Agentic AI capabilities—across key business processes at Warner Bros. Discovery. You will collaborate closely with engineering, AI/ML, product, and business teams to deliver impactful, intelligent automation that streamlines operations, enhances efficiency, and supports business transformation. Your responsibilities include driving the adoption of automation platforms (such as RPA, IPA, and cloud-based tools), integrating Agentic AI for adaptive and context-aware workflow automation, and ensuring solutions are robust, compliant, and measurable. This is a unique opportunity to influence the company’s automation strategy and champion the next wave of AI-enabled enterprise productivity. 1. Automation & Agentic AI Strategy Development Contribute to developing automation and Agentic AI strategies aligned with enterprise objectives. Identify, evaluate, and prioritize automation opportunities, focusing on both traditional automation and advanced AI agents that can autonomously initiate, adapt, and complete tasks across digital workflows. Establish best practices for implementing automation with human-in-the-loop controls to ensure reliability and compliance. Remain up to date with automation and agentic AI trends, leveraging new technologies to elevate business impact. 2. Team Leadership and Management Lead a diverse team of Automation engineers, analysts, and specialists, fostering a culture of innovation, collaboration, and high performance. Mentor and develop team members, ensuring they have the necessary skills and resources to succeed in their roles. Drive the team’s efforts in automating key business processes, with a focus on quality, speed, and precision. Set clear objectives and KPIs for the automation team, monitoring progress and ensuring timely delivery of automation solutions. Encourage a data-driven approach to measure the impact of automation on productivity, cost savings, and overall business outcomes. 3. Automation Architecture and Implementation Lead the design and implementation of scalable, high-performance automation systems across the company’s infrastructure. Ensure that automation solutions are seamlessly integrated into existing workflows, systems, and tools. Oversee the selection and deployment of automation platforms, tools, and technologies, ensuring they meet security, compliance, and operational requirements. Collaborate with IT, AI/ML, and engineering teams to ensure a cohesive and reliable architecture for automation systems. Ensure the automation solutions adhere to industry standards, best practices, and compliance requirements. 4. Cross-Functional Collaboration and Stakeholder Engagement Work closely with business stakeholders, product teams, and senior leadership to understand automation needs and align solutions with strategic goals. Communicate the value and impact of automation initiatives to key stakeholders, ensuring buy-in and active engagement. Establish strong working relationships with external partners, vendors, and consultants to leverage the latest automation technologies. Collaborate with AI and data teams to integrate automation into AI-driven workflows, enabling smarter automation decisions. Manage expectations, mitigate risks, and ensure transparency in the automation project lifecycle, from planning to execution. 5. Automation Governance, Risk Management, and Optimization Establish robust governance frameworks to monitor and manage automation projects, ensuring adherence to budgets, timelines, and quality standards. Identify, assess, and mitigate risks associated with automation implementations, ensuring business continuity and operational stability. Drive optimization efforts to improve the performance and efficiency of automation solutions, ensuring they deliver maximum value over time. Continuously evaluate and refine automation strategies to ensure they remain aligned with evolving business needs and technological advancements. Ensure that automation solutions are secure, scalable, and compliant with relevant industry regulations and standards. Qualifications & Experiences: Academic Qualifications: Bachelor’s or Master’s degree in Engineering, Computer Science, Business, or a related technical field from a recognized institution. Additional certifications in automation technologies (e.g., RPA, DevOps, Cloud Computing), Agentic AI or project management (e.g., PMP, Agile) are a plus. Professional Experience: 8 + years of experience in automation, with a proven track record of leading large-scale automation initiatives in a technology-driven environment. Extensive experience in automation technologies, including Robotic Process Automation (RPA), Intelligent Process Automation (IPA), workflow automation, and cloud-based automation platforms. Strong understanding of AI, machine learning, and how automation can be integrated with AI-driven solutions for enhanced business performance. At least 3 + years of leadership experience, managing cross-functional, multi-geographic teams, and driving successful automation projects. Demonstrated success in transforming complex business processes into automated, streamlined workflows that drive measurable efficiency gains. Technical Skills: Proficiency in automation platforms such as UiPath, and similar technologies. Strong knowledge of AWS cloud. Experience with scripting and automation development using languages like Python, JavaScript, PowerShell, or Shell scripting. Understanding of agentic AI principles—autonomous task agents, dynamic workflow orchestration, human-in-the-loop systems, and adaptive decision engines. Deep understanding of software development life cycle (SDLC), Agile methodologies, and DevOps practices. Familiarity with AI/ML technologies and how they intersect with automation to create intelligent, self-optimizing systems. Other Skills: Excellent leadership, team-building, and interpersonal skills with the ability to engage stakeholders at all levels. Strong project management skills, with experience in overseeing end-to-end automation projects, ensuring timely and on-budget delivery. Exceptional communication skills, both written and verbal, with the ability to articulate complex automation strategies to non-technical audiences. Strong analytical and problem-solving skills with a focus on process optimization and continuous improvement. A proactive, self-motivated approach to identifying opportunities for automation and driving their implementation How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

About Chubb Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com . About Chubb India At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape. We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning. Role : ML Engineer (Associate / Senior) Experience : 2-3 Years (Associate) 4-5 Years (Senior) Mandatory Skill: Python/MLOps/Docker and Kubernetes/FastAPI or Flask/CICD/Jenkins/Spark/SQL/RDB/Cosmos/Kafka/ADLS/API/Databricks Location: Bangalore Notice Period: less than 60 Days Job Description: Other Skills: Azure/LLMOps/ADF/ETL We are seeking a talented and passionate Machine Learning Engineer to join our team and play a pivotal role in developing and deploying cutting-edge machine learning solutions. You will work closely with other engineers and data scientists to bring machine learning models from proof-of-concept to production, ensuring they deliver real-world impact and solve critical business challenges. Collaborate with data scientists, model developers, software engineers, and other stakeholders to translate business needs into technical solutions. Experience of having deployed ML models to production Create high performance real-time inferencing APIs and batch inferencing pipelines to serve ML models to stakeholders. Integrate machine learning models seamlessly into existing production systems. Continuously monitor and evaluate model performance and retrain the models automatically or periodically Streamline existing ML pipelines to increase throughput. Identify and address security vulnerabilities in existing applications proactively. Design, develop, and implement machine learning models for preferably insurance related applications. Well versed with Azure ecosystem Knowledge of NLP and Generative AI techniques. Relevant experience will be a plus. Knowledge of machine learning algorithms and libraries (e.g., TensorFlow, PyTorch) will be a plus. Stay up-to-date on the latest advancements in machine learning and contribute to ongoing innovation within the team. Why Chubb? Join Chubb to be part of a leading global insurance company! Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results. Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024, 2024-2025 and 2025-2026 Laser focus on excellence: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results Start-Up Culture: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter Growth and success: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment Employee Benefits Our company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include: Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs. Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits. Application Process Our recruitment process is designed to be transparent, and inclusive. Step 1: Submit your application via the Chubb Careers Portal. Step 2: Engage with our recruitment team for an initial discussion. Step 3: Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable). Step 4: Final interaction with Chubb leadership. Join Us With you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion, and are ready to make a difference, we invite you to be part of Chubb India’s journey. Apply Now: Chubb External Careers

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Key Responsibilities Develop, deploy, and monitor machine learning models in production environments. Automate ML pipelines for model training, validation, and deployment. Optimize ML model performance, scalability, and cost efficiency. Implement CI/CD workflows for ML model versioning, testing, and deployment. Manage and optimize data processing workflows for structured and unstructured data. Design, build, and maintain scalable ML infrastructure on cloud platforms. Implement monitoring, logging, and alerting solutions for model performance tracking. Collaborate with data scientists, software engineers, and DevOps teams to integrate ML models into business applications. Ensure compliance with best practices for security, data privacy, and governance. Stay updated with the latest trends in MLOps, AI, and cloud technologies. Mandatory Skills Technical Skills: Programming Languages: Proficiency in Python (3.x) and SQL. ML Frameworks & Libraries: Extensive knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn), data structures, data modeling, and software architecture. Databases: Experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, DynamoDB) databases. Mathematics & Algorithms: Strong understanding of mathematics, statistics, and algorithms for machine learning applications. ML Modules & REST API: Experience in developing and integrating ML modules with RESTful APIs. Version Control: Hands-on experience with Git and best practices for version control. Model Deployment & Monitoring: Experience in deploying and monitoring ML models using:MLflow (for model tracking, versioning, and deployment) WhyLabs (for model monitoring and data drift detection) Kubeflow (for orchestrating ML workflows) Airflow (for managing ML pipelines) Docker & Kubernetes (for containerization and orchestration) Prometheus & Grafana (for logging and real-time monitoring) Data Processing: Ability to process and transform unstructured data into meaningful insights (e.g., auto-tagging images, text-to-speech conversions). Preferred Cloud & Infrastructure Skills: Experience with cloud platforms : Knowledge of AWS Lambda, AWS API Gateway, AWS Glue, Athena, S3 and Iceberg and Azure AI Studio for model hosting, GPU/TPU usage, and scalable infrastructure. Hands-on with Infrastructure as Code (Terraform, CloudFormation) for cloud automation. Experience on CI/CD pipelines: Experience integrating ML models into continuous integration/continuous delivery workflows. We use Git based CI/CD methods mostly. Experience with feature stores (Feast, Tecton) for managing ML features. Knowledge of big data processing tools (Spark, Hadoop, Dask, Apache Beam). EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About the Role: We are seeking a DevOps Technical Lead with a strong background in infrastructure automation, cloud architecture, and a keen interest in Generative AI technologies. The ideal candidate will lead the development of an Infrastructure Agent powered by GenAI – capable of intelligent provisioning, configuration, observability, and self-healing. Key Responsibilities: Lead architecture & design of an intelligent Infra Agent leveraging GenAI capabilities. Integrate LLMs and automation frameworks (e.g., LangChain, OpenAI, Hugging Face) to enhance DevOps workflows. Build solutions that automate infrastructure provisioning , CI/CD , incident remediation , and drift detection . Develop reusable components and frameworks using IaC (Terraform, Pulumi, CloudFormation) and configuration management tools (Ansible, Chef, etc.). Partner with AI/ML engineers and SREs to design intelligent infrastructure decision-making logic. Implement secure and scalable infrastructure on cloud platforms ( AWS, Azure, GCP ). Continuously improve agent performance through feedback loops , telemetry , and fine-tuning of models. Drive DevSecOps best practices, compliance, and observability. Mentor DevOps engineers and collaborate with cross-functional teams (AI/ML, Platform, and Product). Required Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or related field. 8+ years of experience in DevOps, SRE, or Infrastructure Engineering. Proven experience in leading infrastructure automation projects and technical teams. Expertise with one or more cloud platforms: AWS, Azure, GCP . Deep knowledge of tools like Terraform , Kubernetes , Helm , Docker , Jenkins , and GitOps . Hands-on experience integrating or building with LLMs / GenAI APIs (e.g., OpenAI, Anthropic, Cohere) . Familiarity with LangChain , AutoGen , or custom agent frameworks . Experience with programming/scripting languages: Python, Go, or Bash . Understanding of cloud security, policy as code , and monitoring tools (Prometheus, Grafana, Datadog). Preferred Qualifications: Experience building or fine-tuning LLM-based agents for operations or automation tasks. Contributions to open-source GenAI or DevOps projects. Understanding of MLOps pipelines and AI infrastructure. Certifications in DevOps, cloud, or AI technologies (e.g., AWS DevOps Engineer, Azure AI Engineer).

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job; there's no telling what you could accomplish. Description Apple eBusiness Services team is seeking an outstanding B2B Integration Software Engineer to implement innovative and scalable integration solutions. This is an excellent opportunity for a self motivated, enthusiastic, result oriented person to provide solutions using various integration technology stacks. If you want to be a part of this amazing team, this position is for you. Dynamic, hard-working people and inspiring, innovative technologies are the norms here. Minimum Qualifications BS degree in computer science or equivalent field with 3 + years of experience in integration technologies. Strong expertise in Supply Chain and finance domain with hands on experience designing and implementing large projects. Knowledge in middleware technologies like Software AG webMethods, SAP-BTP Preferred Qualifications Hands on experience in working with industry standards like EDI X12, XML, JSON and API’s. Experience in handling sensitive customer data like PII, SSN and other sensitive PCI and SOX data. Deep understanding of different partner types in the Supply chain domain and their business processes. Proven ability to manage projects with on-time delivery. Demonstrated capability to look beyond the curve and add value to business teams. Familiarity and implementation knowledge of cloud technologies. Insight & creativity to see around corners and to design systems in order to mitigate future risk. AI / ML implementation experience is a plus. Strong collaboration, communication, interpersonal, and organizational skills. Influence others to get things done. Self-motivate, learn quickly and deliver results with minimal supervision. Handle ambiguity and solve problems despite uncertainties. Ability to lead large projects focussing on innovation, team work and results. Submit CV

Imagine what you could do here. At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job; there's no telling what you could accomplish. Description Apple eBusiness Services team is seeking an outstanding B2B Integration Software Engineer to implement innovative and scalable integration solutions. This is an excellent opportunity for a self motivated, enthusiastic, result oriented person to provide solutions using various integration technology stacks. If you want to be a part of this amazing team, this position is for you. Dynamic, hard-working people and inspiring, innovative technologies are the norms here. Minimum Qualifications BS degree in computer science or equivalent field with 1 + years of experience in integration technologies. Good knowledge in Supply Chain or finance domains with hands on experience implementing large projects. Knowledge in middleware technologies like Software AG webMethods, SAP-BTP CPI. Preferred Qualifications Hands on experience in working with industry standards like EDI X12, XML, JSON and API’s. Experience in handling sensitive customer data like PII, SSN and other sensitive PCI and SOX data Good understanding of different partner types in the Supply chain domain and their business processes Demonstrated capability to look beyond the curve and add value to business teams. Familiarity and implementation knowledge of cloud technologies. Insight & creativity to see around corners and to design systems in order to mitigate future risk AI / ML implementation experience is a plus. Strong collaboration, communication, interpersonal, and organizational skills. Influence others to get things done Self-motivate, learn quickly and deliver results with minimal direction Handle ambiguity and tackle problems despite uncertainties Ability to contribute to large projects focussing on innovation, team work and results. Submit CV

About the Role: Grade Level (for internal use): 05 The Team: You will join a team of industry experts who will work with you to accelerate your development. With exciting learning opportunities at its core, we'll help you focus on building the essential skills. We provide industry-leading data, software and technology platforms and managed services to tackle some of the most difficult challenges in financial markets. What’s in it for you: On-the-job experience focusing on high impact work that allows you to apply and develop your skills. Networking, business insights and tailored learning opportunities all support your growth and development, setting you up for success as you begin your career. You will have the opportunity to experience a high-level of collaboration and cross-training on a range of applications. We offer a collaborative, global, quality engineering team that is accustomed to helping one another learn and excel while working to continuously improve the level of quality delivered to our internal and external users. The Impact: We help our customers better understand complicated markets, reduce risk, operate more efficiently, and comply with financial regulations. Our services benefit the entire financial enterprise, from traders, portfolio managers, risk managers, compliance officers and operations teams to regulators and many others. Responsibilities: Learn, design and implement technical solutions. Develop products using technologies that are scalable and resilient. Solve complex data engineering problems. Develop products using Cloud Native technologies. Develop products that provide best Customer Experience. Infrastructure as Code (IaC): Collaborate with the DevOps team to develop and maintain infrastructure as code using tools like Terraform or CloudFormation. Continuous Integration/Continuous Deployment (CI/CD): Participate in the implementation and improvement of CI/CD pipelines for software delivery. Monitoring and Logging: Help set up monitoring and logging solutions to ensure the health and performance of our systems and applications. Security: Contribute to implementing security best practices, including access control, encryption, and vulnerability scanning. Documentation: Create and update documentation for infrastructure and deployment processes. Collaboration: Work closely with development and operations teams to ensure smooth integration and deployment of applications. Learning and Growth: Stay up to date with DevOps trends and best practices, actively seeking opportunities for skill development. Basic Qualifications B.Tech (CS/ IT) degree in Computer Science, Data Science, or related technical field Knowledge in programming using Python Knowledge in any of database, SQL/PL-SQL, writing queries and RDBMS Theoretical knowledge AI/ML & Large Language Model applications Ability to document requirements and specifications Strong communication skills and ability to produce clear, concise and detailed documentation Excellent problem solving, analytical and technical troubleshooting skills Ability to work in a Hybrid office environment with at least two days on site per week About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence . What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- Job ID: 308442 Posted On: 2025-07-21 Location: Hyderabad, Telangana, India

Who are we? Orbit & Skyline India Pvt. Ltd. is a leading semiconductor service provider with a robust and experienced team of professionals proficient in providing our customers with unique, feature-rich solutions that help them build environmentally friendly semiconductor manufacturing. At Orbit & Skyline, our synergistic cross functional team of Mechanical, Electrical, Electronics, Software, Equipment, and process engineering is delivering end to end solutions to our customers in semiconductor equipment manufacturing space. We are partnering with our customers across the complete semiconductor value chain spectrum that includes Hardware design and development, Supply chain management, Quality management, Product Management, Reliability, Data Science, ML/AI and many more. We are enabling our customers to develop technologies and systems that alter industries by employing one of the most diverse workforces of cutting-edge engineers and technologists in the semiconductor industry. Our clientele includes prestigious IC chip manufacturers and OEMs from the United States, Asia, the Middle East, and Europe with our services being rendered to our global customers out of our head office in Mohali, India. We have offices in the United States, the Middle East, Singapore, Taiwan, Ireland, and several other locations. Who are we looking for? We are seeking a highly skilled Software Test Engineer to create and maintain CI/CD pipelines, manual testing and deployment of software on the semiconductor equipment. Roles & Responsibilities Responsible for maintaining and expand the capabilities of manual test system for the acquisition software. Responsible for maintaining and expand the capabilities of manual test system for the acquisition software. Create and maintain CI/CD Pipelines, manual testing, and deployment processes. Design, develop, and execute Manual testing on Tool/Product. Responsible for writing test cases. Understand SEMI equipment tool control SW (robotics, motion systems, cameras, optical measurement equipment). Troubleshoot and debug test failures, analyse results, and report defects. Develop and maintain manual test scripts to streamline the testing process and increase our confidence with each release iteration. Identify key areas worth focusing on for testing to increase test coverage. Create and maintain detailed test documentation including test plans, test cases, and test reports. Document test results, findings, and recommendations for improvement. Monitor and maintain test environments and build servers to ensure they are up-to-date and functional. Eligibility Criteria Required Qualifications: Bachelor's degree in engineering preferably Computer Science. Minimum 5 years of experience. Mandatory Skills: Manual testing on Tool/Product Testing cases generation SECS/GEM/EDA GUI Testing Smoke test, Regression test, Stress test + Deadlocks STLC Test Result Analysis, Documentation work Good to have: Semi Equipment Experience Recipe Management Wafer Movement/Scheduling Defect tracking CIP/Test Automation Why Orbit & Skyline? Orbit & Skyline is an amalgamation of enthusiastic and experienced people working on a remarkable concept, making headway in this industry. Today, the Semiconductor Industry is going through a rapid transformation, and we are proud to be playing a major role in development of the semiconductor ecosystem in India thus providing our employees a platform to grow technically and introducing them to a versatile and sprouting work horizon. We offer a holistic workplace that encourages individuals to attain their full potential. We are a team of thinkers, planners, doers, and risk-takers who work closely together and enjoy the top-notch benefits such as: Safeguarding the health of our employees and their loved ones by providing them Health Insurance. Encouraging healthy, motivated and a happy workforce by providing monthly Wellness Allowances. Supporting effective and efficient communication by providing Communication Allowances. Awarding stability & loyalty of the employees by covering them under the Gratuity act. Providing technical advancements and interpersonal growth through periodic Trainings. Providing Service Award to celebrate employee’s contributions and show our gratitude for their loyalty and commitment. Rewarding and Recognizing employee’s efforts and contributions to the company’s growth. Encouraging enthusiasm, interaction, and motivation by organising team lunches, team outings, offsite activities, fun Fridays, festival celebrations, and other Engagement events.

Job Title: Python AI Developer Location: [On-site] Experience Required: Minimum 1 year Job Overview We are looking for a highly motivated and skilled Python AI Developer who has hands-on experience in building AI-driven applications, particularly using RAG (Retrieval-Augmented Generation) frameworks, LLMs (Large Language Models) , and modern AI agentic systems. The ideal candidate should have practical experience with frameworks like Ollama, LangChain, or similar , and a solid understanding of AI Agents and Agentic Architectures . Key Responsibilities Design, develop, and deploy AI-powered solutions leveraging RAG pipelines and LLMs . Work with Ollama, LangChain , or similar frameworks to build intelligent conversational agents. Implement and optimize AI Agent and Agentic Agent architectures for various projects. Integrate AI models with APIs, databases, and knowledge bases to build scalable solutions. Collaborate with cross-functional teams to translate business requirements into technical implementations. Write clean, modular, and well-documented Python code . Perform research and prototyping of new AI technologies to enhance current solutions. Required Skills & Experience Minimum 1 year of experience as an AI/ML or Python Developer. Strong proficiency in Python and libraries like FastAPI, Flask, or Django. Hands-on experience with RAG architectures and LLMs (OpenAI, LLaMA, Falcon, etc.). Experience with Ollama, LangChain, or other AI frameworks . Knowledge of AI Agents and Agentic Agent systems (e.g., Auto-GPT, BabyAGI, CrewAI). Familiarity with vector databases (Pinecone, FAISS, Weaviate, Milvus). Good understanding of NLP pipelines, embeddings, and model fine-tuning. Experience with APIs, cloud services (AWS/GCP/Azure), and containerization (Docker). Problem-solving mindset and ability to work independently on AI projects. Preferred Qualifications (Nice to Have) Prior contributions to open-source AI agentic frameworks. Knowledge of advanced prompt engineering techniques. Exposure to RAG-enhanced chatbots and document Q&A systems. Understanding of MLOps and model deployment pipelines. What We Offer Competitive salary based on skills and experience. Opportunity to work on cutting-edge AI projects with RAG and LLM integrations. A collaborative, innovation-driven environment with career growth potential. Flexible working hours and remote-friendly culture. Job Type: Full-time Pay: ₹16,480.46 - ₹68,391.47 per month Experience: Python: 1 year (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person

About the Role We are looking for a passionate Data Science fresher who has completed at least 6 months of practical training, internship, or project experience in the data science field. This is an exciting opportunity to apply your analytical and problem-solving skills to real-world datasets while working closely with experienced data scientists and engineers. Key Responsibilities Assist in data collection, cleaning, and preprocessing from various sources. Support the team in building, evaluating, and optimizing ML models . Perform exploratory data analysis (EDA) to derive insights and patterns. Work on data visualization dashboards and reports using tools like Power BI, Tableau, or Matplotlib/Seaborn. Collaborate with senior data scientists and domain experts on ongoing projects. Document findings, code, and models in a structured manner. Continuously learn and adopt new techniques, tools, and frameworks. Required Skills & Qualifications Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. Experience: Minimum 6 months internship/training in data science, analytics, or machine learning. Technical Skills: Proficiency in Python (Pandas, NumPy, Scikit-learn, etc.). Understanding of machine learning algorithms (supervised/unsupervised). Knowledge of SQL and database concepts. Familiarity with data visualization tools/libraries. Basic understanding of statistics and probability. Soft Skills: Strong analytical thinking and problem-solving ability. Good communication and teamwork skills. Eagerness to learn and grow in a dynamic environment. Good to Have (Optional) Exposure to cloud platforms (AWS, GCP, Azure). Experience with big data tools (Spark, Hadoop). Knowledge of deep learning frameworks (TensorFlow, PyTorch). What We Offer Opportunity to work on real-world data science projects . Mentorship from experienced professionals in the field. A collaborative, innovative, and supportive work environment. Growth path to become a full-time Data Scientist with us. Job Types: Full-time, Permanent, Fresher Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: Health insurance Schedule: Day shift Fixed shift Monday to Friday Application Question(s): have you done your 6 month training ? Education: Bachelor's (Preferred) Language: English (Preferred) Work Location: In person

Job Title: Agent AI Specialist / Senior AI Engineer Location: Delhi NCR Experience: 1–2 years Department: AI/ML Research & Development Job Type: Full-time Job Summary: We are seeking a highly skilled and motivated AI Specialist with hands-on experience in Agent AI frameworks and multi-agent communication protocols. The ideal candidate will be passionate about pushing the boundaries of AI with deep learning, autonomous agents, and cutting-edge tools like LangChain, LangGraph, and llama-index. If you have a strong foundation in image processing, and experience with cloud AI platforms like Azure ML Foundry or Google Vertex AI, we’d love to hear from you. Key Responsibilities: Design, build, and deploy AI agents using frameworks like Autogen , LangChain , LangGraph , and llama-index Develop and implement Agent-to-Agent (A2A) communication protocols for autonomous coordination Integrate multi-agent cognitive protocols (MCP) for enhanced agent collaboration Apply advanced deep learning techniques to real-world AI and computer vision problems Work on image processing tasks using AI/ML models for detection, enhancement, and transformation Collaborate with cross-functional teams to deliver scalable AI solutions on cloud platforms such as Azure Foundry or Google Vertex AI Conduct POCs and build demos showcasing agent-based AI applications Stay current with research trends and innovations in the field of generative AI, agent systems, and multimodal learning Key Requirements: Proven experience with Agent AI frameworks like Autogen or similar Strong understanding of MCP / A2A protocols and agent coordination techniques Proficiency in Python and AI/ML libraries (e.g., PyTorch, TensorFlow) Experience in image processing using AI (OpenCV, Pillow, deep learning models, etc.) Hands-on experience with LangChain , LangGraph , llama-index , or equivalent modular AI frameworks Familiarity with cloud-based ML tools – especially Azure Foundry , Google Vertex AI , or AWS SageMaker Strong analytical and problem-solving skills Good communication and documentation abilities. Qualifications: BE/B.Tech/MCA/MSc

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: Total experience 7+ years. Deep understanding of Generative AI fundamentals and transformer-based architectures. Strong experience in Cloud Architecture (e.g., AWS, Azure, GCP) for deploying scalable AI systems. Hands on working experience in working with Generative AI models. Strong working experience in Azure AI. Proven experience with BERT, GPT, LLaMA, and similar LLMs. Strong hands-on experience in prompt engineering and RAG techniques. Experience in fine-tuning and deploying models using frameworks like Hugging Face Transformers, LangChain, or equivalent. Familiarity with multi-agent AI systems and collaborative model workflows. Proficient in Python and machine learning libraries (e.g., PyTorch, TensorFlow). Experience integrating models into enterprise platforms and APIs. Understanding of ML Ops practices and CI/CD pipelines for AI deployment. Background in Natural Language Processing (NLP) and Knowledge Engineering. RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers 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. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Responsibilities: Create and edit videos using AI tools (Midjourney, Runway ML, Pika Labs, HeyGen, Synthesia, etc.). Utilize AI voice generators (ElevenLabs, Murf.ai) for voiceovers. Optimize videos for YouTube, Reels, Shorts, and TikTok. Collaborate on scriptwriting, animations, and AI-driven storytelling. Stay updated with the latest AI video trends. Requirements: ✅ Proficiency in AI video & editing tools . ✅ Experience with AI-based animation & voice synthesis. ✅ Strong storytelling & creativity. ✅ Portfolio showcasing AI-generated video content. Job Type: Full-time Pay: ₹20,000.00 - ₹25,000.00 per month Language: Hindi (Preferred) English (Preferred) Work Location: In person

We are seeking a highly skilled Python Developer with expertise in Machine Learning and Data Analytics to join our team. The ideal candidate should have 5-6 years of experience in developing end-to-end ML-driven applications and handling data-driven projects independently. You will be responsible for designing, developing, and deploying Python-based applications that leverage data analytics, statistical modeling, and machine learning techniques. Key Responsibilities: Design, develop, and deploy Python applications for data analytics and machine learning. Work independently on machine learning model development, evaluation, and optimization. Develop ETL pipelines and process large-scale datasets for analysis. Implement scalable and efficient algorithms for predictive analytics and automation. Optimize code for performance, scalability, and maintainability. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Integrate APIs and third-party tools to enhance functionality. Document processes, code, and best practices for maintainability. Required Skills & Qualifications: 5-6 years of professional experience in Python application development. Strong expertise in Machine Learning, Data Analytics, and AI frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Proficiency in Python libraries such as Pandas, NumPy, SciPy, and Matplotlib. Experience with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.). Hands-on experience with big data technologies (Apache Spark, Delta Lake, Hadoop, etc.). Strong experience in developing APIs and microservices using FastAPI, Flask, or Django. Good understanding of data structures, algorithms, and software development best practices. Strong problem-solving and debugging skills. Ability to work independently and handle multiple projects simultaneously. Good to have - Working knowledge of cloud platforms (Azure/AWS/GCP) for deploying ML models and data applications. Job Type: Full-time Pay: ₹800,000.00 - ₹1,500,000.00 per year Schedule: Day shift Experience: Python: 5 years (Required) Work Location: In person Expected Start Date: 01/08/2025

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

NVIDIA has been a pioneer in Accelerated Computing and has been paving the way with innovations in Generative AI, Large Language Model (LLM), Autonomous Vehicles, Robotics, High-Performance Computing (HPC), Gaming/Visualization, and Edge/Data Center/Cloud Computing. NVIDIA provides automakers, research institutions, cloud providers, large companies and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems. We are a fast paced, dynamic and dedicated Site Reliability Engineering (SRE) team serving the forefront of the latest science and technology trends on cloud and on-prem infrastructure management for High-Performance & Distributed Computing. Working closely with the development teams, we provide hosted solutions for our internal and external customers. Are you passionate about infrastructure and enjoy working on and resolving intricate multi-faceted issues? Are you eager to have your hands on the engines of the next generation of cloud services? Do you get a buzz from identifying and eliminating toil, designing and coding innovative solutions that address the needs of a whole organization? If so, read on and give us a shout. What you'll be doing: The NVIDIA GPU cloud is a hosted platform for internal R&D teams and external AI/ML stack customers. This SRE team is accountable for the setup, management, reliability and availability of this infrastructure spanning 1000s of GPU nodes. As a senior SRE, you are responsible for: Providing scalable and robust service oriented infrastructure automation, monitoring and analytics solutions for NVIDIA's on-prem and cloud based GPU infrastructure. You will own the whole life cycle of new tools and services - from requirements gathering, to design documentation, validation and deployment. Provide customer support on a rotation basis. What we need to see: Minimum of 8 years of experience ce in automating and handling large-scale distributed system software deployments in on-prem/cloud environments. Proficiency in any language - Go/Python/Perl/C++/Java/C. Strong command on terraform, Kubernetes and cloud infra administration. Excellent debugging and troubleshooting skills. Ability to design simple and reliable systems that can work without much support. Outstanding teammate who can collaborate and influence in a multifaceted environment. Excellent interpersonal, and written communication skills. M.Sc or B.E in Computer Science or a related technical field involving coding (e.g., physics or mathematics) Ways to stand out from the crowd: Ability to decompose complex requirements into simple tasks and reuse available solutions to implement most of those. Proven record of maintaining platform SLAs through accurate resolutions. Unit testing and benchmarking are an integral part of your code. Ability to reason and choose the best possible algorithm to meet scaling and availability challenges. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Position Summary: We’re seeking a Data Scientist to support the development and deployment of machine learning models and analytics solutions that improve decision-making across the mortgage lifecycle—from acquisition to servicing. In this hands-on role, you’ll contribute to building predictive models, customer segmentation tools, and automation workflows that enhance operational efficiency and customer outcomes. You’ll work closely with senior data scientists and cross-functional teams to translate business needs into well-scoped modeling tasks, with opportunities to apply natural language processing (NLP), statistical modeling, and experimentation frameworks in a regulated financial environment. This role reports to a senior leader in Data Science. Job Functions and Responsibilities: Develop and maintain machine learning models and statistical tools for use cases such as risk scoring, churn prediction, segmentation, and document classification. Collaborate with Product, Engineering, and Analytics teams to identify data-driven opportunities and support automation initiatives. Translate business questions into modeling tasks and contribute to the design of experiments and success metrics. Assist in building and maintaining data pipelines and model deployment workflows in partnership with data engineering. Apply techniques such as supervised learning, clustering, and basic NLP to structured and semi-structured mortgage data. Support model monitoring, performance tracking, and documentation to ensure compliance and audit readiness. Contribute to internal best practices and participate in peer reviews and knowledge-sharing sessions. Stay current with developments in machine learning and analytics relevant to mortgage and financial services. Qualifications: Minimum education required: Masters or PhD in engineering/math/statistics/economics, or a related field Minimum years of experience required: 2 (or 1, post-PhD), ideally in mortgage, fintech, or financial services Required certifications: None Specific skill or ability needed Minimum software or applications experience required/preferred Minimum experience required using mobile technology: None Any other requirements an ideal applicant needs to have that is not covered by above: None Experience working with structured and semi-structured data; exposure to NLP or document classification is a plus. Understanding of model development lifecycle, including training, validation, and deployment. Familiarity with data privacy and compliance considerations (e.g., ECOA, CCPA, GDPR) is preferred. Strong communication skills and ability to present findings to technical and non-technical audiences. Proficiency in Python (e.g., scikit-learn, pandas), SQL, and familiarity with ML frameworks like TensorFlow or PyTorch.

Job Title Product Management Principal Specialist Key Accountabilities Data Governance: Establish and oversee a federated data governance model across distribution, with clear responsibilities defined between Business Domains with respect to documentation, support, quality, security, commercialisation, and ownership of data, to ensure the optimal use of this asset Enhance the culture within Amadeus that normalises sharing data and making informed decisions on how to best utilise this asset Design and implement data strategies and systems to manage data as an asset Advise on, monitor, and govern TRD data Lead Amadeus Product Life Cycle (PLC) definition, process and documents linked to data and ensure the completion by Product Managers Data Platform: Develop and execute platform strategy for data collection, storage and sharing Represent TRD unit in the transversal data train interacting with the engineer community Establish standards of data quality and oversee compliance with data protection and privacy policies Develop further collaboration cross-Business Lines Support enterprise digital transformation and cost reduction Data Acquisition & Monetisation: Enable and steer new transversal data opportunities and innovation This is an individual contributor role, where candidate will have no direct reports however needs to engage the community of product managers, data and analytics experts. Education Master degree in Engineering (Information Technology, Data Science or related field) or equivalent. OR Bachelor degree in Engineering (Information Technology) with prior experience in Data Management/Governance. Work Experience At least 5 years of experience in a complex business environment or international organisation matrix. Must have experience and knowledge in data governance. Strong IT background, including expertise in big data, cloud technology, monitoring solutions, machine learning ML, and artificial intelligence AI. Familiarity with data governance tools such as Collibra (preferred) or similar alternatives. Proven track record in product management, data management, and information technology systems and tools. Experience with the SAFe Agile framework. Knowledge of data analytics/dashboard tools like Qlik and Microsoft PowerBI is a plus. Nice to have experience in travel domain. Specific Competencies Big data, data governance, data management, ML and AI Product management Budget and planning Negotiation skills Stakeholder management Flexibility Accountability & proactivity Customer focus Diversity & Inclusion Amadeus aspires to be a leader in Diversity, Equity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience. Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team Roku is the No. 1 TV streaming platform in the U.S., Canada, and Mexico with 70+ millions of active accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. We believe Roku’s continued success relies on its investment in our machine learning/ML recommendation engine. Roku enables our users to access millions of contents including movies, episodes, news, sports, music and channels from all around the world. About the role We’re on a mission to build cutting-edge advertising technology that empowers businesses to run sustainable and highly-profitable campaigns. The Ad Performance team owns server technologies, data, and cloud services aimed at improving the ad experience. We're looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimisation, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimisation, probability theory, and machine learning using both general purpose software and statistical languages. What you’ll be doing ML infrastructure: Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality. Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models. Model training with batch and real-time prediction scenarios: Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy. Production operations: Low-level systems debugging, performance measurement, and optimisation on large production clusters. Collaboration with cross-functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions. Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends. We’re excited if you have Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field. Experience in applied machine learning on real use cases (bonus points for ad tech-related use cases). Great coding skills and strong software development experience (we use Spark, Python, Java). Familiarity with real-time evaluation of models with low latency constraints. Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc. Ability to work with large scale computing frameworks, data analysis systems, and modelling environments. Examples include Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB. Ad tech background is a plus. #LI-PS2 Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.