🚀 We're Hiring: Head of AI & Automation 📍 Location: Hyderabad | Full-time About Us: At Vedasya Engineering , we are reshaping the future of advanced manufacturing and sustainable Aerospace & Defense technologies . From composite manufacturing systems to hydrogen storage and intelligent automation, we bring cutting-edge solutions to aerospace, defense, and clean-tech industries. We’re looking for a Head of AI & Automation to lead the next phase of intelligent product development across our engineering systems, AI software platforms, and factory automation efforts. 🔧 What You’ll Do: Lead AI/ML strategy and execution across products and operations—factory automation, digital twins, predictive maintenance, and smart analytics. Oversee the development of AI modules in vertical SaaS platforms for procurement intelligence and manufacturing optimization. Collaborate with product, R&D, and hardware teams to integrate AI into robotics, machine vision, and composite manufacturing lines . Build and mentor a cross-functional AI/Automation team (ML engineers, data scientists, embedded AI experts). Evaluate and implement scalable tools using NVIDIA, Hailo, or AMD Versal platforms for on-edge inference. Ensure ethical, explainable, and secure use of AI across the company’s offerings. 👤 What We’re Looking For: 6–10 years of experience in AI/ML, with at least 3 years in a leadership or architecture role. Proven track record in deploying AI solutions in manufacturing, industrial automation, or supply chain . Strong hands-on knowledge of Python, TensorFlow/PyTorch, OpenCV, and edge deployment frameworks. Experience with real-time data pipelines, IIoT, PLC integrations, or robotics is a huge plus . Background in engineering, computer science, or related technical fields (Master’s/PhD preferred). 💡 Bonus Skills: Familiarity with aerospace or defense-grade AI applications. Exposure to simulation tools (Ansys, Simulink) and control systems. Experience co-developing IP, patents, or R&D grants in AI or robotics. Why Join Vedasya? Be at the forefront of Make-in-India deep-tech innovation . Collaborate with IITs, DRDO, and leading aerospace firms. Solve hard problems with a passionate, mission-driven team. 📩 Email : hr@vedasyaengg.in 🌐 Learn more: www.vedasyaengg.in Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

AI Solutions Architect with total of around 10-15 years of experience and atleast 5-8 years of relevant data science, analytics and AI/ML. • Develop strategies/solutions to solve problems in logical yet creative ways, leveraging state-of-the-art machine learning, deep learning and GEN AI techniques. • Technically lead a team of data scientists to produce project deliverables on time and with high quality. • Identify and address client needs in different domains, by analyzing large and complex data sets, processing, cleansing, and verifying the integrity of data, and performing exploratory data analysis (EDA) using state-of-the-art methods. • Select features, build and optimize classifiers/regressors, etc. using machine learning and deep learning techniques. • Enhance data collection procedures to include information that is relevant for building analytical systems, and ensure data quality and accuracy. • Perform ad-hoc analysis and present results in a clear manner to both technical and non-technical stakeholders. • Create custom reports and presentations with strong data visualization and storytelling skills to effectively communicate analytical conclusions to senior officials in a company and other stakeholders. • Expertise in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques. • Strong programming skills in Python. • Excellent communication and interpersonal skills, with the ability to present complex analytical concepts to both technical and non-technical stakeholders. Primary Skills : - Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc. - Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). - Proficient in coding in common data science language & tools such as R, Python. - Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc. - Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc. - Exposure or knowledge in cloud (Azure/AWS). - Experience on deployment of model in production. Standard Skills: In-depth understanding of manufacturing workflows, production planning, and quality control. Familiarity with ISA-95 and ISA-88 standards for manufacturing systems. Experience working with shop floor automation and IoT devices. Good To have skills: MES Certifications, AI/ML, regulatory experience, and emerging technologies like IoT or edge computing. Show more Show less

Customer Support New Delhi Full-time Description VAST Data is looking for a Customer Support Engineer to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence. "VAST's data management vision is the future of the market." - Forbes VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud. Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history. Summary As a Customer Support Engineering team you will be regarded as a VAST Data technical expert and, as such, you will be involved in daily technical operations and escalations. You will be a part of VAST “Flight Crew” for our customers, working with a small team of other Support Engineers and Success Managers to handle all post-sales activity for the customer. The main responsibilities include responding to customer issues (reactive and proactive), evaluating the problem, using hands-on-keyboard skills to solve for the issue, and escalating to engineering with as much detail as possible when you can’t. You will also be involved in developing and testing and solutions in strategically and tactically significant applications and use cases, including file protocols, machine learning, object storage, and high-performance computing at customer sites and in the lab. You will work directly with customers, and various business functions: consulting pre-sales teams on technical sales activities, supporting Professional Services with onsite field activities and our engineering teams to solve technical problems. The Role  Build trusted customer relationships based on your customer-first mindset, technical excellence and command of VAST product Respond to technical support issues quickly, working hands-on-keyboard to solve or escalate the issues while being highly communicative Complete daily technical operations as needed for the customers, working technical issues to full resolution and closure. Perform and support field services for customers: installations, upgrades, break-fix and expansions as needed Submit and manage Feature Requests and/or Bugs into product marketing and development teams. Advocate for the priorities of your assigned accounts and continuously track and follow up on bugs, feature requests and escalations. Identify opportunities to provide continuous improvement for customers to ensure full adoption and usage of VAST products. Support and guide VAST data account teams on account technical status and activities. Manage workload to balance meeting KPIs and VAST SLAs with ensuring customer happiness and satisfaction Requirements Overall 5+ years of experience in customer-facing, pre-sale/post-sale positions working with complex storage solutions. Ability to manage own time and case load with rapidly changing priorities Extensive knowledge and experience in the enterprise IT infrastructure, networking and storage space is required, along with a broad understanding of the enterprise software world. Knowledge and working experience in common Linux system administration tasks and Linux OS in general. Good understanding of networking, and working experience with network configurations on Linux and network troubleshooting Scripting and programming - bash scripting is required; must be familiar with one or more other programming language Significant experience required in the areas of file systems and scale-out NAS Implementation An advantage to candidates that have In-depth knowledge and hands-on experience with S3 and high-performance computing. Excellent business written and verbal communication and presentation skills. An advantage to candidates that have hands-on lab and hardware management experience. An advantage to candidates that have experience working in a rapidly growing entrepreneurial, dynamic start up. MS or B.Sc. in CS, CE, EE or related fields. Ability to travel. To be successful in this role, you will need to travel around 20% of the time. Rotational weekend shift once every 8-12 weeks and occasional holiday coverage.

Senior Cloud Engineer - AWS Hyderabad, India; Gurgaon, India Information Technology 315801 Job Description About The Role: Grade Level (for internal use): 10 S&P Global Commodity Insights The Role: Senior Cloud Engineer The Location: Hyderabad, Gurgaon The Team: The Cloud Engineering Team is responsible for designing, implementing, and maintaining cloud infrastructure that supports various applications and services within the S&P Global Commodity Insights organization. This team collaborates closely with data science, application development, and security teams to ensure the reliability, security, and scalability of our cloud solutions. The Impact: As a Cloud Engineer, you will play a vital role in deploying and managing cloud infrastructure that supports our strategic initiatives. Your expertise in AWS and cloud technologies will help streamline operations, enhance service delivery, and ensure the security and compliance of our environments. What’s in it for you: This position offers the opportunity to work on cutting-edge cloud technologies and collaborate with various teams across the organization. You will gain exposure to multiple S&P Commodity Insights Divisions and contribute to projects that have a significant impact on the business. This role opens doors for tremendous career opportunities within S&P Global. Responsibilities: Design and deploy cloud infrastructure using core AWS services such as EC2, S3, RDS, IAM, VPC, and CloudFront, ensuring high availability and fault tolerance. Deploy, manage, and scale Kubernetes clusters using Amazon EKS, ensuring high availability, secure networking, and efficient resource utilization. Develop secure, compliant AWS environments by configuring IAM roles/policies, KMS encryption, security groups, and VPC endpoints. Configure logging, monitoring, and alerting with CloudWatch, CloudTrail, and GuardDuty to support observability and incident response. Enforce security and compliance controls via IAM policy audits, patching schedules, and automated backup strategies. Monitor infrastructure health, respond to incidents, and maintain SLAs through proactive alerting and runbook execution. Collaborate with data science teams to deploy machine learning models using Amazon SageMaker, managing model training, hosting, and monitoring. Automate and schedule data processing workflows using AWS Glue, Step Functions, Lambda, and EventBridge to support ML pipelines. Optimize infrastructure for cost and performance using AWS Compute Optimizer, CloudWatch metrics, auto-scaling, and Reserved Instances/Savings Plans. Write and maintain Infrastructure as Code (IaC) using Terraform or AWS CloudFormation for repeatable, automated infrastructure deployments. Implement disaster recovery, backups, and versioned deployments using S3 versioning, RDS snapshots, and CloudFormation change sets. Set up and manage CI/CD pipelines using AWS services like CodePipeline, CodeBuild, and CodeDeploy to support application and model deployments. Manage and optimize real-time inference pipelines using SageMaker Endpoints, Amazon Bedrock, and Lambda with API Gateway to ensure reliable, scalable model serving. Support containerized AI workloads using Amazon ECS or EKS, including model serving and microservices for AI-based features. Collaborate with SecOps and SRE teams to uphold security baselines, manage change control, and conduct root cause analysis for outages. Participate in code reviews, design discussions, and architectural planning to ensure scalable and maintainable cloud infrastructure. Maintain accurate and up-to-date infrastructure documentation, including architecture diagrams, access control policies, and deployment processes. Collaborate cross-functionally with application, data, and security teams to align cloud solutions with business and technical goals. Stay current with AWS and AI/ML advancements, suggesting improvements or new service adoption where applicable. What We’re Looking For: Strong understanding of cloud infrastructure, particularly AWS services and Kubernetes. Proven experience in deploying and managing cloud solutions in a collaborative Agile environment. Ability to present technical concepts to both business and technical audiences. Excellent multi-tasking skills and the ability to manage multiple projects under tight deadlines. Basic Qualifications: BA/BS in computer science, information technology, or a related field. 5+ years of experience in cloud engineering or related roles, specifically with AWS. Experience with Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation. Knowledge of container orchestration and microservices architecture. Familiarity with security best practices in cloud environments. Preferred Qualifications: Extensive Hands-on Experience with AWS Services. Excellent problem-solving skills and the ability to work independently as well as part of a team. Strong communication skills and the ability to influence stakeholders at all levels. Experience with greenfield projects and building cloud infrastructure from scratch. About S&P Global Commodity Insights At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. We’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights’ coverage includes oil and gas, power, chemicals, metals, agriculture and shipping. S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit http://www.spglobal.com/commodity-insights. 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. - 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 - IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 315801 Posted On: 2025-06-05 Location: Hyderabad, Telangana, India

About the Role: Grade Level (for internal use): 10 S&P Global Commodity Insights The Role: Senior Cloud Engineer The Location: Hyderabad, Gurgaon The Team: The Cloud Engineering Team is responsible for designing, implementing, and maintaining cloud infrastructure that supports various applications and services within the S&P Global Commodity Insights organization. This team collaborates closely with data science, application development, and security teams to ensure the reliability, security, and scalability of our cloud solutions. The Impact: As a Cloud Engineer, you will play a vital role in deploying and managing cloud infrastructure that supports our strategic initiatives. Your expertise in AWS and cloud technologies will help streamline operations, enhance service delivery, and ensure the security and compliance of our environments. What’s in it for you: This position offers the opportunity to work on cutting-edge cloud technologies and collaborate with various teams across the organization. You will gain exposure to multiple S&P Commodity Insights Divisions and contribute to projects that have a significant impact on the business. This role opens doors for tremendous career opportunities within S&P Global. Responsibilities: Design and deploy cloud infrastructure using core AWS services such as EC2, S3, RDS, IAM, VPC, and CloudFront, ensuring high availability and fault tolerance. Deploy, manage, and scale Kubernetes clusters using Amazon EKS, ensuring high availability, secure networking, and efficient resource utilization. Develop secure, compliant AWS environments by configuring IAM roles/policies, KMS encryption, security groups, and VPC endpoints. Configure logging, monitoring, and alerting with CloudWatch, CloudTrail, and GuardDuty to support observability and incident response. Enforce security and compliance controls via IAM policy audits, patching schedules, and automated backup strategies. Monitor infrastructure health, respond to incidents, and maintain SLAs through proactive alerting and runbook execution. Collaborate with data science teams to deploy machine learning models using Amazon SageMaker, managing model training, hosting, and monitoring. Automate and schedule data processing workflows using AWS Glue, Step Functions, Lambda, and EventBridge to support ML pipelines. Optimize infrastructure for cost and performance using AWS Compute Optimizer, CloudWatch metrics, auto-scaling, and Reserved Instances/Savings Plans. Write and maintain Infrastructure as Code (IaC) using Terraform or AWS CloudFormation for repeatable, automated infrastructure deployments. Implement disaster recovery, backups, and versioned deployments using S3 versioning, RDS snapshots, and CloudFormation change sets. Set up and manage CI/CD pipelines using AWS services like CodePipeline, CodeBuild, and CodeDeploy to support application and model deployments. Manage and optimize real-time inference pipelines using SageMaker Endpoints, Amazon Bedrock, and Lambda with API Gateway to ensure reliable, scalable model serving. Support containerized AI workloads using Amazon ECS or EKS, including model serving and microservices for AI-based features. Collaborate with SecOps and SRE teams to uphold security baselines, manage change control, and conduct root cause analysis for outages. Participate in code reviews, design discussions, and architectural planning to ensure scalable and maintainable cloud infrastructure. Maintain accurate and up-to-date infrastructure documentation, including architecture diagrams, access control policies, and deployment processes. Collaborate cross-functionally with application, data, and security teams to align cloud solutions with business and technical goals. Stay current with AWS and AI/ML advancements, suggesting improvements or new service adoption where applicable. What We’re Looking For: Strong understanding of cloud infrastructure, particularly AWS services and Kubernetes. Proven experience in deploying and managing cloud solutions in a collaborative Agile environment. Ability to present technical concepts to both business and technical audiences. Excellent multi-tasking skills and the ability to manage multiple projects under tight deadlines. Basic Qualifications: BA/BS in computer science, information technology, or a related field. 5+ years of experience in cloud engineering or related roles, specifically with AWS. Experience with Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation. Knowledge of container orchestration and microservices architecture. Familiarity with security best practices in cloud environments. Preferred Qualifications: Extensive Hands-on Experience with AWS Services. Excellent problem-solving skills and the ability to work independently as well as part of a team. Strong communication skills and the ability to influence stakeholders at all levels. Experience with greenfield projects and building cloud infrastructure from scratch. About S&P Global Commodity Insights At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. We’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights’ coverage includes oil and gas, power, chemicals, metals, agriculture and shipping. S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit http://www.spglobal.com/commodity-insights . 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. ----------------------------------------------------------- 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 ----------------------------------------------------------- IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 315801 Posted On: 2025-06-05 Location: Hyderabad, Telangana, India

About The Role Have you ever wondered why it's taking so long for an earner to be matched to your trip, how the price is determined for your trip, or how an earner is picked from the many around you? If so, the Mobility Marketplace Health Science team is for you! The Marketplace Health Science team at Uber plays a pivotal role in monitoring marketplace performance, detecting issues in real time, and driving solutions through algorithmic and data-driven interventions. Our work is essential to maintaining Uber's market leadership and delivering reliable experiences to riders and earners. We are seeking experienced data scientists who thrive on solving complex problems at scale. The ideal candidate brings a strong foundation in causal inference, experimentation and analytics, along with a deep understanding of marketplace dynamics and metric trade-offs. What The Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Refine ambiguous questions and generate new hypotheses about whether marketplace levers such as Rider and Driver Pricing, Matching, Surge etc are functioning appropriately through a deep understanding of the data, our customers, and our business. Define how our teams measure success by developing Key Performance Indicators and other user/business metrics, in close partnership with Product and other subject areas such as engineering, operations, and marketing. Collaborate with applied scientists and engineers to build and improve the availability, integrity, accuracy, and reliability of our models, tables etc. Design and develop algorithms to increase the speed and accuracy with which we react to marketplace changes. Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritization of product, growth, and optimization initiatives. Basic Qualifications Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. 6+ years of experience as a Data Scientist, Product Analyst, Senior Data Analyst, or other types of data analysis-focused functions. Deep understanding of core statistical concepts such as hypothesis testing, regression, and causal inference Advanced SQL expertise. Experience with either Python or R for data analysis. Knowledge of experimental design and analysis (A/B, Switchbacks, Synthetic Control, Diff in Diff, etc.). Experience with exploratory data analysis, statistical analysis and testing, and model development. Proven track record to wrangle large datasets, extract insights from data, and summarize learnings/takeaways. Experience with Excel and some dashboarding/data visualization (i.e., Tableau, Mixpanel, Looker, or similar). Preferred Qualifications Proven aptitude toward Data Storytelling and Root Cause Analysis using data. Excellent communication skills across technical, non-technical, and executive audiences. Have a growth mindset; love solving ambiguous, ambitious, and impactful problems. Ability to work in a self-guided manner. Ability to deliver on tight timelines and prioritize multiple tasks while maintaining quality and detail. Show more Show less

Freelance Corporate AI Trainer – Sales & Marketing Enablement We are seeking an experienced and engaging AI Trainer (Freelance/Contract) to deliver a concise training program— 5 to 10 one-hour sessions —for our Sales and Marketing team. The focus will be on building foundational AI literacy, understanding Large Language Models (LLMs), and exploring real-world applications in business workflows. This is a short-term assignment aimed at demystifying AI concepts and empowering non-technical professionals with practical knowledge to adopt AI tools effectively. Job Summary: We are seeking a dynamic and knowledgeable Corporate AI Trainer to empower our Sales and Marketing teams with foundational AI understanding. This role will focus on demystifying Artificial Intelligence, Large Language Models (LLMs), their applications, workflows, and architectures. The ideal candidate will bridge the gap between technical concepts and practical sales/marketing use cases to drive AI readiness across the organization. Key Responsibilities: Training Development & Delivery Train, Design and deliver interactive training sessions on AI fundamentals, LLM terminology, and practical applications in sales and marketing. Simplify technical concepts such as machine learning workflows, neural network architecture, and prompt engineering for non-technical audiences. Key Topics Covered: What is Artificial Intelligence and Why it Matters Introduction to Generative AI & LLMs (e.g., GPT, Claude, Gemini) AI Terminology & Concepts: Tokens, Parameters, Embeddings, etc. LLM Architecture: Transformer models, training vs inference Workflow Basics: Data input, model inference, prompt engineering, APIs Sales & Marketing Use Cases: Lead generation, personalization, content creation, chatbots Ethics, Privacy, and Limitations of AI in business contexts Requirements: Proven experience in training, instructional design, or corporate training - Preferably with sales and marketing team. Solid understanding of AI/ML concepts and familiarity with LLMs (GPT, BERT, etc.). Ability to translate technical information into business-relevant insights. Excellent communication, presentation, and stakeholder engagement skills. Bachelor’s degree in Computer Science, Engineering, Business, or related field (Master’s preferred). Experience working with sales and marketing teams is a plus. Show more Show less

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. We are looking for a seasoned Data Scientist – Manager to lead advanced analytics initiatives and drive data-driven decision-making across the organization. The ideal candidate combines deep expertise in statistical modeling, machine learning, and modern data science techniques with strong business acumen and leadership skills. The role involves solving complex problems, building scalable models, and integrating advanced AI solutions into business workflows. Key Responsibilities Data Science Leadership: Lead a team of data scientists and analysts in designing, developing, and deploying machine learning models and statistical algorithms. Mentor team members, promoting best practices in experimentation, coding, and model evaluation. Translate business problems into structured analytical solutions using robust quantitative methods. Model Development & AI Integration Develop predictive and prescriptive models using regression, tree-based methods (e.g., Random Forest), LSTM, and reinforcement learning techniques. Apply deep learning and large language models (LLMs) to extract insights from structured and unstructured data. Work closely with engineering teams to productionize models and embed them into digital products and services. Advanced Analytics & Statistical Inference Perform exploratory data analysis, sampling, and inferential testing to identify trends and actionable insights. Use econometric and time series techniques to forecast and evaluate impact, especially in economic or behavioral contexts. Apply PCA and other dimensionality reduction techniques to handle high-dimensional data. Cloud & Data Infrastructure Collaborate with data engineering teams to access and leverage data from cloud platforms (AWS, GCP, Databricks). Utilize SQL, R, and Python to extract, clean, and manipulate large datasets from relational (RDBMS) and NoSQL (e.g., MongoDB) databases. Stakeholder Engagement & Strategic Impact Partner with business stakeholders to define analytical objectives and communicate findings with clarity. Lead data science strategy and roadmap development to ensure alignment with organizational goals. Drive innovation by exploring and implementing state-of-the-art methods in AI and machine learning. Required Skills And Experience 8+ years of experience in data science, with deep proficiency in Python, SQL, and statistical modeling. Proven experience developing and deploying ML models, including deep learning and time series forecasting. Expertise in cloud platforms and data pipeline integration for scalable model delivery. Strong understanding of statistical inference, econometrics, and experimental design. Experience with LLMs and advanced language models is a plus. Excellent problem-solving, communication, and team leadership abilities. Qualifications Master’s or PhD in Data Science, Computer Science, Statistics, Economics, or a related field. Demonstrated ability to lead data science projects from concept to deployment. Strong track record of delivering impact through data science in complex business environments. Show more Show less

About Us Udacity is on a mission of forging futures in tech through radical talent transformation in digital technologies. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more. Our rapidly growing global organization is revolutionizing how the enterprise market bridges the talent shortage and skills gaps during their digital transformation journey. At Udacity, the Analytics Team is deploying data to inform and empower the company with insight, to drive student success and business value. We are looking for a Principal Data Analyst to help advance that vision as part of our business analytics group. You will work with stakeholders to help inform their current initiatives and long term roadmap with data. You will be a key part of a dynamic data team that works daily with strategic partners to deliver data, prioritize resources and scale our impact. This is a chance to affect thousands of students around the world who come to Udacity to improve their lives, and your success as part of a world-class analytics organization will be visible up to the highest levels of the company. Your Responsibilities You will report to the Director of Data and lead high-impact analyses of Udacity’s curriculum and learner behavior to optimize content strategy, ensure skills alignment with industry needs, and drive measurable outcomes for learners and enterprise clients Lead the development of a strategic analytics roadmap for Udacity’s content organization, aligning insights with learning, product, and business goals. Partner with senior stakeholders to define and monitor KPIs that measure the health, efficacy, and ROI of our curriculum across both B2C and enterprise portfolios Centralize and synthesize learner feedback, CX signals, and performance data to identify content pain points and inform roadmap prioritization. Develop scalable methods to assess content effectiveness by integrating learner outcomes, usage behavior, and engagement metrics. Contribute to building AI-powered systems that classify learner feedback, learning styles, and success predictors. Act as a thought partner to leaders across Content and Product by communicating insights clearly and influencing strategic decisions. Lead cross-functional analytics initiatives and mentor peers and junior analysts to elevate data maturity across the organization. Requirements 8+ years experience in analytics or data science roles with a focus on product/content insights, ideally in edtech or SaaS. Advanced SQL and experience with data warehouses (Athena, Presto, Redshift, etc.). Strong proficiency in Python for data analysis, machine learning, and automation. Experience with dashboards and visualization tools (e.g., Tableau, PowerBI, or similar). Strong knowledge of experimentation, A/B testing, and causal inference frameworks. Proven ability to lead high-impact analytics projects independently and influence stakeholders Excellent communication skills—able to translate technical insights into business recommendations Preferred Experience Familiarity with Tableau, Amplitude, dbt, Airflow, or similar tools Experience working with large-scale sequential or clickstream data Exposure to NLP, embeddings, or GPT-based analysis for feedback classification Understanding of learning science or instructional design principles Benefits Experience a rewarding work environment with Udacity's perks and benefits! At Udacity, we offer you the flexibility of working from home. We also have in-person collaboration spaces in Mountain View, Cairo, Dubai and Noida and continue to build opportunities for team members to connect in person Flexible working hours Paid time off Comprehensive medical insurance coverage for you and your dependents Employee wellness resources and initiatives (access to wellness platforms like Headspace) Quarterly wellness day off Personalized career development Unlimited access to Udacity Nanodegrees What We Do Forging futures in tech is our vision. Udacity is where lifelong learners come to learn the skills they need, to land the jobs they want, and to build the lives they deserve. Don’t stop there! Please keep reading... You’ve probably heard the following statistic: Most male applicants only meet 60% of the qualifications, while women and other marginalized candidates only apply if they meet 100% of the qualifications. If you think you have what it takes but don’t meet every single point in the job description, please apply! We believe that historically, many processes disproportionately hurt the most marginalized communities in society- including people of color, working-class backgrounds, women and LGBTQ people. Centering these communities at our core is pivotal for any successful organization and a value we uphold steadfastly. Therefore, Udacity strongly encourages applications from all communities and backgrounds. Udacity is proud to be an Equal Employment Opportunity employer. Please read our blog post for “6 Reasons Why Diversity, Equity, and Inclusion in the Workplace Exists” Last, but certainly not least… Udacity is committed to creating economic empowerment and a more diverse and equitable world. We believe that the unique contributions of all Udacians is the driver of our success. To ensure that our products and culture continue to incorporate everyone’s perspectives and experience we never discriminate on the basis of race, color, religion, sex, gender, gender identity or expression, sexual orientation, marital status, national origin, ancestry, disability, medical condition (including genetic information), age, veteran status or military status, or any other basis protected by federal, state or local laws. As part of our ongoing work to build more diverse teams at Udacity, when applying, you will be asked to complete a voluntary self-identification survey. This survey is anonymous, we are unable to connect your application with your survey responses. Please complete this voluntary survey as we utilize the data for diversity measures in terms of gender and ethnic background in both our candidates and our Udacians. We consider this data seriously and appreciate your willingness to complete this step in the process, if you choose to do so. Udacity's Values Obsess over Outcomes - Take the Lead - Embrace Curiosity - Celebrate the Assist Udacity's Terms of Use and Privacy Policy Show more Show less

Summary Under limited supervision designs, develops and maintains test procedures, tester hardware and software for electronic circuit board production. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. Leadership And Management Responsibilities Recruitment and Retention: Recruit and interview Process Technicians. Communicate criteria to recruiters for Process Technician position candidates. Coach technicians in the interviewing/hiring process. Monitor team member turnover; identify key factors that can be improved; make improvements. Employee and Team Development: Identify individual and team strengths and development needs on an ongoing basis. Create and/or validate training curriculum in area of responsibility. Coach and mentor Process Technicians to deliver excellence to every internal and external customer. Performance Management: Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines, training documentation, attendance records, knowledge of operational roles and responsibilities, personal development goals). Solicit ongoing feedback from Assistant Test Engineering Manager, Workcell Manager (WCM), Business Unit Manager (BUM), peers and team member on team member’s contribution to the Workcell team. Provide ongoing coaching and counseling to team member based on feedback. Express pride in staff and encourage them to feel good about their accomplishments. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of large teams and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. Communication: Provide communication forum for the exchange of ideas and information with the department. Organize verbal and written ideas clearly and use an appropriate business style. Ask questions; encourage input from team members. Assess communication style of individual team members and adapt own communication style accordingly. Technical Management Responsibilities Review circuit board designs for testability requirements. Support manufacturing with failure analysis, tester debugging, reduction of intermittent failures and downtime of test equipment. Prepare recommendations for testing and documentation of procedures to be used from the product design phase through to initial production. Generate reports and analysis of test data, prepares documentation and recommendations. Review test equipment designs, data and RMA issues with customers regularly. Design, and direct engineering and technical personnel in fabrication of testing and test control apparatus and equipment. Direct and coordinate engineering activities concerned with development, procurement, installation, and calibration of instruments, equipment, and control devices required to test, record, and reduce test data. Determine conditions under which tests are to be conducted and sequences and phases of test operations. Direct and exercise control over operational, functional, and performance phases of tests. Perform moderately complex assignments of the engineering test function for standard and/or custom devices. Analyze and interpret test data and prepares technical reports for use by test engineering and management personnel. Develop or use computer software and hardware to conduct tests on machinery and equipment. Perform semi-routine technique development and maintenance, subject to established Jabil standards, including ISO and QS development standards. Provide training in new procedures to production testing staff. Adhere to all safety and health rules and regulations associated with this position and as directed by supervisor. Comply and follow all procedures within the company security policy. Minimum Requirements Bachelors of Science in Electronics or Electrical Engineering from four-year college or university; and three to five years experience Language Skills Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. Mathematical Skills Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. REASONING ABILITY Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The employee is frequently required to walk, and to lift and carry PC’s and test equipment weighing up to 50 lbs. Specific vision abilities required by this job include close vision and use of computer monitor screens a great deal of time. WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Individual’s primary workstation is located in the office area, with some time spent each day on the manufacturing floor. The noise level in this environment ranges from low to moderate. , BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a jabil.com e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a jabil.com e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver’s license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact your local police department. Any scam job listings should be reported to whatever website it was posted in. Show more Show less

Job Description: Machine Learning / Data Science Engineer/Data Scientists Location: Pune Experience Required: 3–6 years Type: Full-Time Education: BTech / MTech / MSc / PhD in Computer Science, Data Science, Applied Mathematics, Statistics, or a related field. About Anervea.ai Anervea.ai is building a next-generation intelligence stack for the pharmaceutical industry. Our products help commercial, clinical, and medical affairs teams make smarter decisions—faster. From predicting the success of clinical trials and decoding competitor movement, to surfacing real-time KOL signals and automating HCP engagement, our platform powers strategic decision-making at scale. We’re not a services firm—we’re a product-first, AI-native company solving real problems using applied machine learning, generative AI, and life sciences data. Our clients include major US and EU pharma companies, and our team is a mix of engineers, researchers, and life science domain experts. We’re looking for ML engineers and data scientists who are passionate about learning, driven to build usable solutions , and ready to push boundaries. Role Overview As an ML / Data Science Engineer at Anervea, you’ll work on designing, training, deploying, and maintaining machine learning models across multiple products. You’ll build models that predict clinical trial outcomes, extract insights from structured and unstructured healthcare data, and support real-time scoring for sales or market access use cases. You’ll collaborate closely with AI engineers, backend developers, and product owners to translate data into product features that are explainable, reliable, and impactful. Key Responsibilities Develop and optimize predictive models using algorithms such as XGBoost, Random Forest, Logistic Regression, and ensemble methods Engineer features from real-world healthcare data (clinical trials, treatment adoption, medical events, digital behavior) Analyze datasets from sources like ClinicalTrials.gov, PubMed, Komodo, Apollo.io, and internal survey pipelines Build end-to-end ML pipelines for inference and batch scoring Collaborate with AI engineers to integrate LLM-generated features with traditional models Ensure explainability and robustness of models using SHAP, LIME, or custom logic Validate models against real-world outcomes and client feedback Prepare clean, structured datasets using SQL and Pandas Communicate insights clearly to product, business, and domain teams Document all processes, assumptions, and model outputs thoroughly Technical Skills Required Strong programming skills in Python (NumPy, Pandas, scikit-learn, XGBoost, LightGBM) Experience with statistical modeling and classification algorithms Solid understanding of feature engineering , model evaluation, and validation techniques Exposure to real-world healthcare, trial, or patient data (strong bonus) Comfortable working with unstructured data and data cleaning techniques Knowledge of SQL and NoSQL databases Familiarity with ML lifecycle tools (MLflow, Airflow, or similar) Bonus: experience working alongside LLMs or incorporating generative features into ML Bonus: knowledge of NLP preprocessing, embeddings, or vector similarity methods Personal Attributes Strong analytical and problem-solving mindset Ability to convert abstract questions into measurable models Attention to detail and high standards for model quality Willingness to learn life sciences concepts relevant to each use case Clear communicator who can simplify complexity for product and business teams Independent learner who actively follows new trends in ML and data science Reliable, accountable, and driven by outcomes—not just code Bonus Qualities Experience building models for healthcare, pharma, or biotech Published work or open-source contributions in data science Strong business intuition on how to turn models into product decisions Show more Show less

About Agoda Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more . Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world. Our Purpose – Bridging the World Through Travel We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. LLM Platform at Agoda Agoda’s LLMOps Platform is at the forefront of enabling scalable, secure, and efficient deployment of Large Language Models (LLMs) and generative AI solutions. Built on robust cloud and on-premises infrastructure, our platform empowers teams to experiment, deploy, and monitor LLM-powered applications with confidence and agility. Our LLMOps team bridges the gap between advanced AI research and real-world production systems, ensuring that LLMs are delivered reliably, responsibly, and at scale. We focus on best practices in model lifecycle management, data privacy, prompt engineering, and continuous improvement to help our users unlock the full potential of generative AI. In This Role, You’ll Get to: Lead the design, development, and implementation of LLMOps solutions for deploying, monitoring, and managing large language models and generative AI systems Collaborate with data scientists, ML engineers, and product teams to build scalable pipelines for LLM fine-tuning, evaluation, and inference Develop and maintain tools for prompt management, versioning, and automated evaluation of LLM outputs Ensure responsible AI practices by integrating data anonymization, bias detection, and compliance monitoring into LLM workflows Develop and maintain monitoring and management tools to ensure the reliability and performance of our on-premises and cloud machine learning platform Work with stakeholders across the organization to understand their generative AI needs and deliver LLMOps solutions that drive business impact Stay up-to-date with the latest trends and technologies in LLMOps, generative AI, and responsible AI, and share your knowledge to keep the team at the cutting edge Mentor junior team members and help them grow their skills and expertise in LLMOps Troubleshoot and resolve issues related to LLM deployment, scaling, and performance What You’ll Need to Succeed: 5+ years of experience in LLMOps, MLOps, Software Engineering, or a related field Strong programming skills in a modern language (Python, Kotlin, Scala, Java, etc.) Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams Commitment to code quality, simplicity, and performance It’s Great if you have: Experience with LLMOps platforms and tools (e.g., Hugging Face, LangChain, Ray, MLFlow, Kubeflow) Familiarity with prompt engineering, retrieval-augmented generation (RAG), and LLM evaluation frameworks Experience with data privacy, PII anonymization, and responsible AI practices Strong knowledge of containerization and orchestration (Docker, Kubernetes) Experience with DevOps, CI/CD, and scalable API development for LLM serving Passion for the engineering challenges of generative AI and scaling LLM solutions Experience designing and building LLMOps infrastructure, including data pipelines, model management, and monitoring tools Deep understanding of LLM architectures (e.g., GPT, Llama) and experience with model fine-tuning, evaluation, and deployment Benefits Flexible hybrid work arrangement with the option to work remotely for part of the year Generous annual leave, sick leave, and public holidays Exclusive accommodation discounts for personal travel Annual allowance for wellness, learning, fitness, and travel experiences Opportunities for career growth through training, certifications, and internal promotions Competitive compensation and comprehensive health benefits Relocation Package (for employee and family): Full visa sponsorship for employees, spouse, and children Support for airfare, travel insurance, and temporary accommodation upon arrival Assistance with moving household goods and pet relocation #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5 Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy . Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee. Show more Show less

About Agoda Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more . Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world. Our Purpose – Bridging the World Through Travel We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. LLM Platform at Agoda Agoda’s LLMOps Platform is at the forefront of enabling scalable, secure, and efficient deployment of Large Language Models (LLMs) and generative AI solutions. Built on robust cloud and on-premises infrastructure, our platform empowers teams to experiment, deploy, and monitor LLM-powered applications with confidence and agility. Our LLMOps team bridges the gap between advanced AI research and real-world production systems, ensuring that LLMs are delivered reliably, responsibly, and at scale. We focus on best practices in model lifecycle management, data privacy, prompt engineering, and continuous improvement to help our users unlock the full potential of generative AI. In This Role, You’ll Get to: Lead the design, development, and implementation of LLMOps solutions for deploying, monitoring, and managing large language models and generative AI systems Collaborate with data scientists, ML engineers, and product teams to build scalable pipelines for LLM fine-tuning, evaluation, and inference Develop and maintain tools for prompt management, versioning, and automated evaluation of LLM outputs Ensure responsible AI practices by integrating data anonymization, bias detection, and compliance monitoring into LLM workflows Develop and maintain monitoring and management tools to ensure the reliability and performance of our on-premises and cloud machine learning platform Work with stakeholders across the organization to understand their generative AI needs and deliver LLMOps solutions that drive business impact Stay up-to-date with the latest trends and technologies in LLMOps, generative AI, and responsible AI, and share your knowledge to keep the team at the cutting edge Mentor junior team members and help them grow their skills and expertise in LLMOps Troubleshoot and resolve issues related to LLM deployment, scaling, and performance What You’ll Need to Succeed: 5+ years of experience in LLMOps, MLOps, Software Engineering, or a related field Strong programming skills in a modern language (Python, Kotlin, Scala, Java, etc.) Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams Commitment to code quality, simplicity, and performance It’s Great if you have: Experience with LLMOps platforms and tools (e.g., Hugging Face, LangChain, Ray, MLFlow, Kubeflow) Familiarity with prompt engineering, retrieval-augmented generation (RAG), and LLM evaluation frameworks Experience with data privacy, PII anonymization, and responsible AI practices Strong knowledge of containerization and orchestration (Docker, Kubernetes) Experience with DevOps, CI/CD, and scalable API development for LLM serving Passion for the engineering challenges of generative AI and scaling LLM solutions Experience designing and building LLMOps infrastructure, including data pipelines, model management, and monitoring tools Deep understanding of LLM architectures (e.g., GPT, Llama) and experience with model fine-tuning, evaluation, and deployment Benefits Flexible hybrid work arrangement with the option to work remotely for part of the year Generous annual leave, sick leave, and public holidays Exclusive accommodation discounts for personal travel Annual allowance for wellness, learning, fitness, and travel experiences Opportunities for career growth through training, certifications, and internal promotions Competitive compensation and comprehensive health benefits Relocation Package (for employee and family): Full visa sponsorship for employees, spouse, and children Support for airfare, travel insurance, and temporary accommodation upon arrival Assistance with moving household goods and pet relocation #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5 Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy . Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee. Show more Show less

As one of the world’s leading asset managers, Invesco is dedicated to helping investors worldwide achieve their financial objectives. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, smart colleagues, and a global employer with a social conscience, come explore your potential at Invesco. Make a difference every day! Job Description Who we are With over $1.8 trillion of assets under management, Invesco is one of the world’s leading global investment management firms, headquartered in Atlanta, GA. Spreading across 26 countries and with over 8600 dedicated employees, we are driven by trust and care. As one of the world’s leading asset managers, we are solely dedicated to delivering an investment experience that helps people get more out of life. If you're looking for challenging work, thoughtful colleagues, and a global employer with social values, explore your potential at Invesco. Your Team The Strategic Analytics team at Invesco Real Estate is recognized for providing forward-looking views on the markets. Our strategy process is integrated into the investment decision making process and supports all parts of the business. Our deep market knowledge is showcased in our chartbooks, which analyses demographic, economic and real estate market data, to produce market rental growth, yield and total return forecasts. Your Role To work with other members of the business on the characterization and analysis of global economies and the forecasting of real estate markets, and support presentations to internal and external clients. Collaborate with the strategy team to support Invesco Real Estate’s transaction, fund, and asset management specialists in producing high-quality research materials. Assist in developing Invesco Real Estate’s forecasting systems, models, and House Views. Develop specialist knowledge on various economies, markets, and sectors, in agreement with regional heads. Gain knowledge of external data providers to maintain the quality and accuracy of the real estate database, and build a network of local market experts. Undertake special projects such as gathering information for new investment possibilities, creating market reports, investigating capital flows, transactions, and market pricing. Use statistical analysis methods to identify relationships related to real estate performance, including classification, time series analysis, regression, statistical inference, and validation methods. Utilize spatial GIS analysis techniques to support the evaluation of real estate markets and asset management decisions. The Experience You Bring Should have 3 to 5 years of work experience within a real estate environment or any Investment management industry, ideally within real estate fund management, is required. Expert knowledge of Python and related frameworks, with data manipulation experience. Expertise in data manipulation techniques to handle and process large datasets effectively and Advanced Excel skills for data analysis. Proficiency in Spatial GIS analysis and tools. Proficiency in web scraping techniques is a valuable asset for this role. Ability to prioritize and collaborate on multiple projects and work independently when required. Experience in market research is a plus. A proven numerate background and strong computer skills (especially the Microsoft Office suite), knowledge of applied statistics and econometric modelling techniques would be a benefit. R / Python programming skill with machine learning, Familiarity with GIS systems, spatial analytics would a considerable advantage. Experience in Data Manipulation and ETL handling using Power query, Pandas, tidyverse and Alterx. Expertise in data manipulation techniques to handle and process large datasets effectively with Advanced Excel skills in using Pivot tables, charting, solver/What-IF Analysis for data and statistical analysis. Experience in Data analysis and visualization tools like Power BI/Tableau/R Shiny is an added advantage. Ability to review peer’s work and provide feedback Identifying and implementing automation opportunities. Excellent communication skills. Fluency in written and verbal English Skills / Other Personal Attributes Required: Team player Good communication skills Open minded, flexible, and willing to listen for other people’s opinions. Interpersonal skills necessary to effectively communicate over the phone with a variety of individuals at all technical levels are required. Academic Requirements Educated to degree level, or equivalent qualification, in Real Estate, Geography, Economics, Maths (or a similar numerate subject), Data science or job holder is able to demonstrate equivalent academic caliber MBA in Real Estate from a reputed University is preferred. Why Invesco In Invesco, we do meaningful work to create impact for our stakeholders. We believe our culture is stronger when we all feel we belong, and we respect each other’s identities, lives, health, and well-being. We come together to create better solutions for our clients, our business and each other by building on different voices and perspectives. We support and inspire each other to ensure our significant growth, both personally and professionally. We trust in diverse, inclusive, and accommodative workplace where everyone feels equally valued, and this starts at the top with our senior leaders having diversity and inclusion goals. Our global focus on diversity and inclusion has grown exponentially and we support connection and community through our many employee-led Business Resource Groups (BRGs). Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least three days a week, with two days working outside an Invesco office. Why Invesco In Invesco, we act with integrity and do meaningful work to create impact for our stakeholders. We believe our culture is stronger when we all feel we belong, and we respect each other’s identities, lives, health, and well-being. We come together to create better solutions for our clients, our business and each other by building on different voices and perspectives. We nurture and encourage each other to ensure our meaningful growth, both personally and professionally. We believe in diverse, inclusive, and supportive workplace where everyone feels equally valued, and this starts at the top with our senior leaders having diversity and inclusion goals. Our global focus on diversity and inclusion has grown exponentially and we encourage connection and community through our many employee-led Business Resource Groups (BRGs). What’s in it for you? As an organization we support personal needs, diverse backgrounds and provide internal networks, as well as opportunities to get involved in the community and in the world. Our benefit policy includes but not limited to: Competitive Compensation Flexible, Hybrid Work 30 days’ Annual Leave + Public Holidays Life Insurance Retirement Planning Group Personal Accident Insurance Medical Insurance for Employee and Family Annual Health Check-up 26 weeks Maternity Leave Paternal Leave Adoption Leave Near site Childcare Facility Employee Assistance Program Study Support Employee Stock Purchase Plan ESG Commitments and Goals Business Resource Groups Career Development Programs Mentoring Programs Invesco Cares Dress for your Day In Invesco, we offer development opportunities that help you thrive as a lifelong learner in a constantly evolving business environment and ensure your constant growth. Our AI enabled learning platform delivers curated content based on your role and interest. We ensure our manager and leaders also have many opportunities to advance their skills and competencies that becomes pivotal in their continuous pursuit of performance excellence. To Know More About Us About Invesco: https://www.invesco.com/corporate/en/home.html About our Culture: https://www.invesco.com/corporate/en/about-us/our-culture.html About our D&I policy: https://www.invesco.com/corporate/en/our-commitments/diversity-and-inclusion.html About our CR program: https://www.invesco.com/corporate/en/our-commitments/corporate-responsibility.html Apply for the role @ Invesco Careers : https://careers.invesco.com/india/ Show more Show less

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. Data Science Manager- Data Analytics Team, Hyderabad About Warner Bros. Discovery Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com . Meet Our Team The Data Audience Platform organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and other products such as Films, Sports, News and overall WBD eco-system. Our mission is to foster unified Gen AI, Machine Learning, Advanced analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape. Roles & Responsibilities You will be responsible for building and scaling machine learning solutions for Warner Bros. Discovery’s Data, ML and Analytics organization. Your primary focus will be on unlocking business opportunities and building advanced machine learning models and inference pipelines at scale. You will lead by example, setting high standards for the team and the organization, and have a successful track record of ambitious projects across cross-functional teams. You will: Develop a deep understanding of different types of data, metrics, and KPIs to identify and formulate data science problems that drive impactful solutions. Lead the development of cutting-edge machine learning and data science solutions, including large language models, computer vision models, and advanced ad & content targeting. Review and develop mathematical solutions to complex data science problems, ensuring technical excellence and scalability. Utilize Agentic AI, Gen AI, and LLM-based models to formulate and identify business use cases, providing advanced insights and opportunities to move the business needle. Define and implement best practices for the team, setting high standards for technical quality and innovation. Create and deliver compelling presentations to senior leadership and business stakeholders, effectively communicating business insights and recommendations. Manage and oversee data science projects, ensuring timely delivery and alignment with business objectives. Leverage industry best practices and tools to continually improve the team's ability to build and deploy machine learning models. Work closely with platform, content, user data, and product partners to expand and enhance data science capabilities. Drive observability, scalability, cost-optimization, and performance tuning for data science models and services. Motivate, inspire, and create a culture of experimentation and data-driven innovation, advocating for customer-centric solutions. Collaborate with principal engineers to productionalize models and create a robust architecture for deploying machine learning solutions at scale. Qualifications 12-14 years of experience in data science and machine learning algorithms, with at least 3 years of leading and managing a software development team. Strong understanding of modern ML approaches (e.g., GBDT, CNN, LSTM, GRU, HRNN, transformer models, variational auto-encoders). Experience with Classical ML Techniques, Deep Learning, NLP, LLMs, Causal Inference, and proficiency in ML tools and frameworks (Keras, PyTorch, scikit-learn, Spark). Proficiency in programming languages such as Python or R. Experience with implementing and managing MLOps frameworks to enhance reproducibility, scalability, and maintainability of machine learning models. Familiarity with real-world ML systems, including configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, and monitoring. Experience with offline experimentation and A/B testing. Good understanding of operating machine learning solutions at scale, covering the end-to-end ML workflow. Understanding of batch and streaming data processing techniques. Experience of Databricks, AWS, GCP, or Azure. Experience with Docker and Kubernetes. Experience with CI/CD tools like GitHub Actions, Jenkins, etc. Familiarity with agile practices and processes. Excellent written and verbal communication skills, with the ability to contribute to technical documentation and provide on-call support. BA/BS in Data science, machine learning, statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus. Other Qualifications Proven track record of leading cross-functional teams and delivering ambitious projects. Passionate about technical excellence and innovation, with a hands-on approach to problem-solving. Strong focus on customer needs and rapid feature iteration. Strong interpersonal skills with the ability to motivate, collaborate, and influence. Ability to deliver on multiple projects and meet tight deadlines. Ability to effectively influence and communicate cross-functionally with all levels. 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. Show more Show less

Description - External Company Overview: Schneider Electric is a global leader in energy management and automation, committed to providing innovative solutions that ensure Life Is On everywhere, for everyone, and at every moment. We are part of small and medium buildings league, We are expanding our team in Gurugram and looking for a Principal Architect to enhance our Edge applications and drive the roadmap for next generations IOT gateways. Job Description: We are looking for an experienced Principal Architect - IoT Edge to lead the design and deployment of edge middleware for smart building environments. This role focuses on architecting robust, secure, and scalable IoT gateway-based systems that enable real-time monitoring, control, and optimization of micro-BMS, including HVAC, lighting, and energy. As a Principal Architect at Schneider Electric, you will play a crucial role in developing and implementing IoT solutions across our global infrastructure, with a primary focus on Edge software. This position requires a blend of strategic architectural design and practical hands-on ability to implement and manage, and optimize edge middleware solutions, ensuring efficient data processing for a large-scale edge gateways and devices (100s of thousands) deployed in the field. Some of the core services supported by IoT gateways aims at providing various services and features such as Secure firmware update Log management. Product configuration (identity, network connectivity, date/time…) Service/message bus (for intra and inter service communication) Controls logic to control and schedule downstream devices Device management, application management and connectivity to the “Cloud system” Edge intelligence – e.g. data buffering, computing metrics on edge Dockerised services Local Web Interface Connectivity protocols (MQTT, Zigbee, Wi-Fi, LoRaWAN, Modbus, BacNet …) Key Responsibilities: · Provide architecture guidelines, identify technical solutions, and write technical requirements, answering to the functional requirement of the SMB BMS solution. · Architect and develop scalable, high-performance Edge computing solutions for IoT applications. · Work closely with POs and solution Architects of SMB- Building Activate platform to ensure proper landing of the middleware features and services · Develop and optimize IoT data pipelines, integrating sensors, edge devices, and cloud-based platforms. · Collaborate with cross-functional teams to define edge computing strategies, system architectures, and best practices. · Work on device-to-cloud communication using MQTT(s), HTTP(s), WebSockets, or other messaging protocols. · Ensure software is secure, reliable, and optimized for resource-constrained edge environments. · Design and optimize Linux-based networking for edge devices, including network configuration, VPNs, firewalls, and traffic shaping. · Implement and manage Linux process management, including systemd services, resource allocation, and performance tuning for IoT applications. · Conduct code reviews, mentor junior developers, and provide technical leadership in edge software development. Implement edge analytics and AI/ML inference for predictive maintenance, energy optimization, and occupant comfort. Lead PoCs and pilot deployments in commercial, industrial, or mixed-use buildings. Requirements: Technical · 10 – 12 years of overall experience in software engineering with a strong focus on IoT based firmware development · Understanding of BACnet/Modbus protocols. · Familiarity with cloud IoT platforms (AWS IoT, Azure IoT, Google Cloud IoT) and their integration with edge devices · Strong knowledge of Linux networking, including TCP/IP, DNS, firewalls (iptables/nftables), VPNs, and network security. · Experience in Linux process management, including systemd, resource limits (cgroups), and performance tuning. · Good Understanding of IoT architectures, protocols (MQTT, HTTP/REST), and edge computing frameworks. · Hands-on experience with Docker. · Proficiency and Experience with Git or any other VCS. · Excellent problem-solving skills and the ability to lead complex technical projects. Proficiency in edge programming (Python, GoLang, Rust, Java or C++) Knowledge of cybersecurity best practices for IOT environments. Good to have: Experience with digital twins, building energy modelling, or occupancy analytics. · Expertise in Python, with experience in asynchronous programming, task processing frameworks, and Web frameworks Soft Skills: · Excellent problem-solving abilities and strong communication skills. · Advanced verbal and written communication skills including the ability to explain and present technical concepts to a diverse set of audiences. · Comfortable working directly with both technical and non-technical audiences · Good judgment, time management, and decision-making skills · Strong teamwork and interpersonal skills; ability to communicate and thrive in a cross-functional environment · Willingness to work outside documented job description. Has a “whatever is needed” attitude. Qualifications - External Preferred Qualifications: · Bachelor's or Master's degree in computer science, Information Technology, or related field. · Working experience on designing robust, scalable & maintainable IOT gateway applications · Prior experience in building cloud connected Edge IoT solutions. · Prior experience in the energy sector or industrial automation is advantageous. Show more Show less

Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements. Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees Good knowledge on software configuration management systems Strong business acumen, strategy and cross-industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Show more Show less

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. Meet our team: The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape. Roles & Responsibilities : The role will focus on building out machine learning solutions for WBD’s Data and Analytics organization. Primary focus will be on unlocking machine learning opportunities and building foundational machine learning training and inference pipelines at scale. You have a deep understanding of different types of data and metrics. You will lead by example and define the best practices, will set high standards for the entire team and for the rest of the organization. You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments. Build cutting-edge capabilities utilizing machine learning and data science (e.g., large language models, computer vision models, advanced ad & content targeting, etc.) Lead data science and model development techniques for the team. Leverage industry best practices and tools to continually improve teams' ability to build machine learning models. What to Bring: BA/BS in statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus 4+ years of experience building data science/statistical models (Multivariate regression, Time Series Model, XGBoost, Causal inference etc.) Strong understanding of modern ML approaches (GBDT, CNN, LSTM, GRU, HRNN, transformers, siamese neural networks, variational auto-encoders, ...). Experience with Deep Learning, NLP, LLMs, Reinforcement Learning, Causal Inference. Good knowledge of ML tools and frameworks (TensorFlow, Keras, pyTorch, scikit-learn, Spark,...). Proficiency in programming languages such as Python or R. Proficiency in writing complex SQL queries. Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring). Good understanding of operating machine learning solutions at scale, covering the end-to-end ML workflow. Strong interpersonal skills with the ability to motivate, collaborate and influence Ability to deliver on multiple projects and meet tight deadlines Ability to effectively influence and communicate cross-functionally with all levels 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.

Build and fine-tune Generative AI models (LLMs, diffusion models, etc.) for various applications. Work with agent and multi-agent frameworks to build task-specific or collaborative AI systems. Develop and deploy ML pipelines for training, inference, and evaluation. Collaborate with cross-functional teams (Product, Data Engineering, DevOps) to integrate ML models into products. Conduct data preprocessing, exploratory analysis, and feature engineering. Stay updated with state-of-the-art research in ML/GenAI and apply it to practical problems. Optimize models for performance, scalability, and efficiency. Work with APIs like OpenAI, AZURE OpenAI, and others for rapid prototyping and deployment. Contribute to internal tools and frameworks to support ML experimentation and monitoring. Required Skills & Qualifications Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field. 3 to 5 years of hands-on experience in Machine Learning and/or NLP projects. Proficiency in Python and popular ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers). Practical experience with agent and/or multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen, AutoGPT, BabyAGI, etc.) is highly desirable. Experience working with LLMs (GPT, Claude, etc.). Familiarity with prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques. Strong understanding of data structures, algorithms, and ML concepts. Experience in deploying models using tools like Docker, FastAPI, Flask, or MLflow. Experience with vector databases (e.g., PG Vector, Pinecone, Weaviate). Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Airflow). Publications or contributions to open-source projects in ML/GenAI. Familiarity with ethical AI principles and responsible AI practices. Show more Show less

Job Title : AI/ML Engineer Location: On-Site Employment Type: Full-time Experience Level: Mid-Senior (2-3+ years experience) We are looking for a Lead AI/ML Engineer to spearhead the development of our advanced generative AI platform designed to transform product images into stunning lifestyle visuals. You will be responsible for building and optimizing cutting-edge AI models tailored specifically for furniture and home décor imagery. Responsibilities: * Develop, fine-tune, and deploy custom generative AI models (Stable Diffusion, ControlNet, etc.) tailored to product and interior imagery. * Design robust ML pipelines for automated image segmentation, scene generation, and image editing (inpainting, recoloring). * Conduct research and experimentation to continually improve image quality, realism, and performance. * Oversee AI infrastructure setup and manage GPU-based model inference workloads. * Stay up-to-date with state-of-the-art developments in generative AI and computer vision. Required Skills & Experience: * Strong proficiency in Python and deep-learning frameworks like PyTorch or TensorFlow. * Hands-on experience with generative models, especially Stable Diffusion, GANs, ControlNet, or similar. * Experience training and fine-tuning custom models on domain-specific datasets (image-based models strongly preferred). * Practical experience with segmentation models, object detection, and inpainting techniques. * Familiarity with HuggingFace, Diffusers, or similar model frameworks. * Experience deploying ML models to production environments using cloud infrastructure (AWS, Azure, GCP). * Strong mathematical foundation and familiarity with computer vision/image processing. Preferred Qualifications: * Previous experience building generative AI products (image, video). * Familiarity with containerization technologies (Docker, Kubernetes). * Background in e-commerce, furniture, fashion-tech, or similar industries. Personal Attributes: * Curious, proactive, and self-driven. * Excellent communication skills. * Team-oriented with leadership potential. Job Type: Full-time Benefits: Paid sick time Paid time off Provident Fund Schedule: Day shift Work Location: In person Application Deadline: 30/06/2025 Expected Start Date: 06/10/2025

ML Engineer | 3+ years | Remote | Work Timing: Standard IST Job Description: We are looking for a skilled Machine Learning Engineer with hands-on experience deploying models on Google Cloud Platform (GCP) using Vertex AI. This role involves enabling real-time and batch model inferencing based on specific business requirements, with a strong focus on production-grade ML deployments. Key Responsibilities: Deploy machine learning models on GCP using Vertex AI. Design and implement real-time and batch inference pipelines. Monitor model performance, detect drift, and manage lifecycle. Ensure adherence to model governance best practices and support ML-Ops workflows. Collaborate with cross-functional teams to support Credit Risk, Marketing, and Customer Service use cases, especially within the retail banking domain. Develop scalable and maintainable code in Python and SQL. Work with diverse datasets, perform feature engineering, and build, train, and fine-tune advanced predictive models. Contribute to model deployment in the lending space. Required Skills & Experience: Strong expertise in Python and SQL. Proficient with ML libraries and frameworks such as scikit-learn, pandas, NumPy, spaCy, CatBoost, etc. In-depth knowledge of GCP Vertex AI and ML pipeline orchestration. Experience with ML-Ops and model governance. Exposure to use cases in retail banking—Credit Risk, Marketing, and Customer Service. Experience working with structured and unstructured data. Nice to Have: Prior experience deploying models in the lending domain. Understanding of regulatory considerations in financial services. Job Type: Contractual / Temporary Contract length: 6 months Pay: ₹70,000.00 - ₹80,000.00 per month Benefits: Work from home Schedule: Monday to Friday Morning shift UK shift US shift Application Question(s): Are you ready to move Onsite | Bangalore/Pune? Education: Bachelor's (Preferred) Experience: ML Engineer: 3 years (Required)