Location : Remote/Hybrid – India Experience : 2+ years About the Role : We are looking for a sharp and hands-on Machine Learning Engineer to own the design, training, and optimization of our phishing and malware detection models. Your work will directly impact the core detection capabilities of the platform. Key Responsibilities : Build and fine-tune models for detecting phishing, impersonation, and malware Implement Deep Neural Networks (DNN) , XGBoost , and transformer-based models (BERT) Extract email metadata and textual features for supervised learning Maintain scalable model inference pipelines compatible with real-time systems Continuously improve model accuracy through feedback loops and sample injection Required Skillset : Proficient in Python for ML (Pandas, NumPy, scikit-learn, PyTorch or TensorFlow) Experience with DNN , BERT , and XGBoost model training and optimization Familiarity with NLP preprocessing and feature engineering techniques Experience with deploying models into production environments Comfort with Git and collaborative engineering workflows Qualities We Value : Analytical and detail-oriented problem solver Proactive learner with a passion for security or NLP Smart, self-driven, and ready to own key components independently Show more Show less

About Graviton: Graviton is globally one of the fastest growing privately funded quantitative trading firms (High Frequency Trading), striving for excellence in financial markets' research. From best-in-class tech for back testing infrastructure to building new strategies, we employ some of the most advanced and sophisticated technology and techniques to identify and profit from market inefficiencies. Pursuit of complete automation of trading to ensure large scalable processes and systems drives us. Using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference, we analyze terabytes of data to come up with ideas which help us identify pricing anomalies in financial markets. We trade across a multitude of asset classes and trading venues with significant market share and constantly seek to replicate our successes to newer exchanges and products Technology : Our high performance low latency trading platform is at the core of our competitive edge. Our systems process billions of transactions enabling our researchers to make profitable trades across markets . Our team comprises some of the best programmers globally working on cutting edge technology to build super fast and robust trading infrastructure handling millions of dollars worth of trading transactions every day. Minimum qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field from a Tier I Indian college or a Global Ivy League University. 7+ years of experience in technical program management or software development. Strong knowledge of system design, distributed computing, high-performance software architectures, and low-latency systems. Experience managing cross-functional, large-scale technical projects in a quantitative trading, fintech, or high-performance computing environment. Experience working with multithreaded programming, caching, real-time data processing, and networking protocols. Demonstrated ability to lead technical teams, manage priorities, and drive execution. Strong analytical and problem-solving skills with a focus on scalability and optimization. What will it take to be successful in this role: Technical acumen: Deep understanding of high-performance trading systems, low-latency infrastructure, and system design principles. Strong execution mindset: Ability to deliver mission-critical projects in a fast-paced, high-stakes environment. Collaboration and leadership: Ability to bridge engineering and quant teams, align on priorities, and drive clarity across functions. Problem-solving ability: Proactively identify risks, resolve technical challenges, and ensure project feasibility. Communication skills: Provide clear and concise updates to stakeholders and leadership, ensuring transparency on priorities and risks. Responsibilities Drive execution of high-impact technical programs, ensuring timely delivery of key initiatives. Act as the primary liaison between engineering, infrastructure, and quant teams, ensuring seamless coordination. Manage technical risks, dependencies, and blockers to optimize project efficiency. Provide technical guidance on system architecture, software scalability, and infrastructure improvements. Streamline program management processes to improve operational efficiency. Facilitate alignment across teams, ensuring clarity on objectives, timelines, and deliverables. Show more Show less

Job Title: AI Developer Working Hours: 10 AM – 4 PM UTC+3) About Us: Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward. With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals. About the Role: We are seeking a highly skilled AI Developer to join our specialized team focused on developing and benchmarking on-device AI solutions for MacOS and Windows platforms. The ideal candidate will have deep technical expertise in local inference, AI model optimization, and device-level benchmarking, particularly on Apple Silicon using CoreML and MLX. You will work on creating benchmarks for local LLMs and computer vision models, optimize them across a range of hardware accelerators, and contribute to the development of robust performance evaluation frameworks for future hardware platforms. Responsibilities: Develop and maintain on-device AI benchmarks for MacOS using the MLX framework. Port existing LLM benchmarks (phi, Mistral, LLaMA2/3) from Windows to MacOS. Create CoreML versions of selected computer vision models and perform quantization for various data types and hardware targets (CPU, GPU, Neural Engine). Design and prototype local fine-tuning benchmarks, including data preparation, parameter selection, and training strategy evaluation. Work with on-device AI accelerators (e.g., Apple CoreML, ONNX Runtime, TensorRT, OpenVINO, SNPE). Maintain, extend, and optimize benchmarks for future and unreleased hardware platforms across Windows, Mac, mobile, and embedded devices. Collaborate with hardware and software teams to refine benchmark design and test coverage. Analyze model performance, document findings, and suggest optimization strategies. Communicate progress and findings effectively in English to internal stakeholders. Required Skills & Experience: Strong coding expertise in Python, C++, and C. Deep understanding of deep learning frameworks: TensorFlow, PyTorch. Experience working with local/on-device inference engines such as: Apple CoreML (preferred) ONNX Runtime NVIDIA TensorRT Intel OpenVINO Qualcomm SNPE Familiarity with open-source model repositories like Hugging Face. Proven experience in all stages of the software development lifecycle – from prototyping to optimization. Solid debugging and problem-solving skills. Excellent communication skills in English. Qualifications: Bachelor’s degree in computer science or related field. Minimum of 5 years' experience in software design and development. Demonstrated experience in AI model development and deployment. We Offer: Opportunity to work on impact-full technical challenges with global reach. Vast opportunities for self-development, including online university access and knowledge sharing opportunities. Sponsored Tech Talks & Hackathons to foster innovation and learning. Generous benefits package including health insurance, retirement benefits, flexible work hours, and more. Supportive work environment with forums to explore passions-beyond work. This role presents unique opportunity to contribute to the future of impact-full business solutions while advancing your career in a collaborative and innovative environment. Show more Show less

Job Listing Detail Summary Gainwell is seeking LLM Ops Engineers and ML Ops Engineers to join our growing AI/ML team. This role is responsible for developing, deploying, and maintaining scalable infrastructure and pipelines for Machine Learning (ML) models and Large Language Models (LLMs). You will play a critical role in ensuring smooth model lifecycle management, performance monitoring, version control, and compliance while collaborating closely with Data Scientists, DevOps. Your role in our mission Core LLM Ops Responsibilities: Develop and manage scalable deployment strategies specifically tailored for LLMs (GPT, Llama, Claude, etc.). Optimize LLM inference performance, including model parallelization, quantization, pruning, and fine-tuning pipelines. Integrate prompt management, version control, and retrieval-augmented generation (RAG) pipelines. Manage vector databases, embedding stores, and document stores used in conjunction with LLMs. Monitor hallucination rates, token usage, and overall cost optimization for LLM APIs or on-prem deployments. Continuously monitor models for its performance and ensure alert system in place. Ensure compliance with ethical AI practices, privacy regulations, and responsible AI guidelines in LLM workflows. Core ML Ops Responsibilities: Design, build, and maintain robust CI/CD pipelines for ML model training, validation, deployment, and monitoring. Implement version control, model registry, and reproducibility strategies for ML models. Automate data ingestion, feature engineering, and model retraining workflows. Monitor model performance, drift, and ensure proper alerting systems are in place. Implement security, compliance, and governance protocols for model deployment. Collaborate with Data Scientists to streamline model development and experimentation. What we're looking for Bachelor's/Master’s degree in computer science, Engineering, or related fields. Strong experience with ML Ops tools (Kubeflow, MLflow, TFX, SageMaker, etc.). Experience with LLM-specific tools and frameworks (LangChain,Lang Graph, LlamaIndex, Hugging Face, OpenAI APIs, Vector DBs like Pinecone, FAISS, Weavite, Chroma DB etc.). Solid experience in deploying models in cloud (AWS, Azure, GCP) and on-prem environments. Proficient in containerization (Docker, Kubernetes) and CI/CD practices. Familiarity with monitoring tools like Prometheus, Grafana, and ML observability platforms. Strong coding skills in Python, Bash, and familiarity with infrastructure-as-code tools (Terraform, Helm, etc.).Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus. Strong skills in Giskard, Deepeval etc. What you should expect in this role Fully Remote Opportunity – Work from anywhere in the India Minimal Travel Required – Occasional travel opportunities (0-10%). Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. Show more Show less

Summary As a Principal Scientist I within Preclinical Safety (PCS) Pathology Team, you will be responsible for advancing translational safety omics data analysis to support innovative drug discovery & development efforts. The candidate will participate in the study design, analysis, interpretation, and presentation of the data by interacting closely with a team of pathologists, bench scientists, and subject matter experts across the sites (e.g. USA, Switzerland) of Novartis. The role requires significant omics-based data science expertise and a passion to elevate the role of multimodal data analysis in translational drug safety. About The Role Your responsibilities include, but are not limited to: Use machine learning and statistical methods for analysis of spatial transcriptomics (e.g. Visium/Nanostring platforms) and spatial proteomics data (both internal and public data) from raw reads Compare and contrast spatial omics data sets with bulk RNASeq and single cell data Multimodal analysis of omics data with other modalities such as histopathology images, clinical biomarkers, etc. Support projects with data science expertise in diverse scientific fields such as gene and cell therapy, target discovery, genetics, drug safety, compound screening, etc. Innovate by transforming the way to solve a problem using Data Science & Artificial Intelligence Communicating regularly with stakeholders and assisting with answering their questions with the data and analytics Proactively evaluate the need of technology and novel scientific software, visualization tools and new approaches to computation to increase efficiency and quality of the Novartis data sciences approaches Independently identifies research articles and reproduce/apply methodology to Novartis business problems M.S. or PhD in Data Science, Computational Biology, Bioinformatics, or a related discipline Proficient in programming languages and data science workflows (e.g. Python, R, Git, UNIX command line, high-performance computing (HPC) clusters etc.) A minimum of 5 years of experience in analyzing large biological datasets (genomics, proteomics, and transcriptomics data analysis and data-integration) in a drug discovery/development or relevant academic setting Proven ability to implement exploratory data analysis and statistical inference in the context of scientific research A collaborative, team-focused mindset coupled with outstanding communication skills, and the ability to work in an agile environment Experience with using machine learning algorithms to extract insights from complex datasets Familiarity with the concepts of molecular biology, cell biology, genomics, biostatistics and toxicology WHY NOVARTIS 769 million lives were touched by Novartis medicines in 2020, and while we’re proud of this, we know there is so much more we could do to help improve and extend people’s lives. We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working. We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what's possible, when we collaborate with courage to aggressively and ambitiously tackle the world’s toughest medical challenges. Because the greatest risk in life, is the risk of never trying! Imagine what you could do here at Novartis! Commitment To Diversity & Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse team’s representative of the patients and communities we serve. Join our Novartis Network : If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

Job Requirements Role/ Job Title: Data Scientist Function/ Department: Data & Analytics Job Purpose In this specialized role, you will leverage your expertise in machine learning and statistics to derive valuable insights from data. Your role will include developing predictive models, interpreting data and working closely with out ML engineers to ensure the effective deployment and functioning of these models. Key / Primary Responsibilities Lead cross-functional teams in the design, development, and deployment of Generative AI solutions, with a strong focus on Large Language Models (LLMs). Architect, train, and fine-tune state-of-the-art LLMs (e.g., GPT, BERT, T5) for various business applications, ensuring alignment with project goals. Deploy and scale LLM-based solutions, integrating them seamlessly into production environments and optimizing for performance and efficiency. Develop and maintain machine learning workflows and pipelines for training, evaluating, and deploying Generative AI models, using Python or R, and leveraging libraries like Hugging Face Transformers, TensorFlow, and PyTorch. Collaborate with product, data, and engineering teams to define and refine use cases for LLM applications such as conversational agents, content generation, and semantic search. Design and implement fine-tuning strategies to adapt pre-trained models to domain-specific tasks, ensuring high relevance and accuracy. Evaluate and optimize LLM performance, including handling challenges such as prompt engineering, inference time, and model bias. Manage and process large, unstructured datasets using SQL and NoSQL databases, ensuring smooth integration with AI models. Build and deploy AI-driven APIs and services, providing scalable access to LLM-based solutions. Use data visualization tools (e.g., Matplotlib, Seaborn, Tableau) to communicate AI model performance, insights, and results to non-technical stakeholders. Secondary Responsibilities Contribute to data analysis projects, with a strong emphasis on text analytics, natural language understanding, and Generative AI applications. Build, validate, and deploy predictive models specifically tailored to text data, including models for text generation, classification, and entity recognition. Handle large, unstructured text datasets, performing essential preprocessing and data cleaning steps, such as tokenization, lemmatization, and noise removal, for machine learning and NLP tasks. Work with cutting-edge text data processing techniques, ensuring high-quality input for training and fine-tuning Large Language Models (LLMs). Collaborate with cross-functional teams to develop and deploy scalable AI-powered solutions that process and analyze textual data at scale. Key Success Metrics Ensure timely deliverables. Spot Training Infrastructure fixes. Lead technical aspects of the projects. Error free deliverables. Education Qualification Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA) Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA Experience: 5-10 years of relevant experience Show more Show less

About The Role Grade Level (for internal use): 09 S&P Global Mobility The Role: Senior Data Scientist The Team We are the Research and Modeling team, driving innovation by building robust models and tools to support the Vehicle & Powertrain Forecast team. Our work includes all aspects of development of, and ongoing support for, our business line’ data flows, analyst modelling solutions and forecasts, new apps, new client-facing products, and many other work areas besides. We value ownership, adaptability, and a passion for learning, while fostering an environment where diverse perspectives and mentorship fuel continuous growth. The Impact We are seeking a motivated and talented Senior Data Scientist to create new AI algorithms and/or improve our current machine learning algorithms, while exploring the potential of GenAI and LLMs to enhance our data collect, data source mapping, and information inference capabilities. This role will directly contribute to our ability to deliver more accurate and timely forecasts to our clients, solidifying S&P Mobility's position as the leader in automotive market intelligence. What’s In It For You Engage with cutting-edge AI and ML technologies to solve complex forecasting challenges and drive innovation in automotive market intelligence. Lead the development and implementation of advanced analytical models (pricing, demand, specifications), enhancing your expertise and contributing significantly to the product's value. Directly influence forecasts provided to market-leading clients in the automotive sector, gaining exposure to their critical data and business challenges. Benefit from a collaborative environment with opportunities to mentor talent, fostering both your technical leadership and the growth of the team. Responsibilities Advanced Pricing Analytics: Develop and implement machine learning models to analyse vehicle and powertrain pricing trends, predicting future price points with high accuracy. Create sophisticated algorithms to assess the impact of various factors (e.g., market conditions, competitor pricing, etc.) on vehicle pricing. Refine our forecast system to incorporate these advanced pricing analytics, enhancing the overall forecast precision considering price elasticity. Forecasting Modeling: Improve the performance of current machine learning models (XGBoost) Develop and optimize algorithms for predicting vehicle demand based on historical data, market trends, and pricing information. Develop algorithms for predicting vehicle specifications, like dimension or mass. GenAI and LLM Exploration: Investigate and implement LLMs for efficient data collecting from diverse sources, improving the breadth and depth of our data collection Develop solutions for better mapping, filling, and structuring our data with source information, ensuring data integrity and consistency, ultimately streamlining our data acquisition and analysis processes. Collaboration & Mentorship: Collaborate closely with product teams, business stakeholders, ML Engineers, and Data Engineers to ensure smooth integration of models into production systems. Mentor talent ML Engineer and Data Engineer in fostering their professional growth and development. Communication: Communicate complex technical concepts to non-technical stakeholders. Contribute to the documentation of ML models and processes. What We’re Looking For Master’s in Data Science, Computer Science, Statistics, or a related field. Minimum 7+ years of professional experience in data science, with a proven track record of developing and deploying machine learning models. Strong proficiency in Python and relevant machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with Generative AI and Large Language Models (LLMs), including data collection, text analysis, and information retrieval. Experience with cloud platforms (e.g., AWS, Azure, GCP) and data engineering tools Strong communication and collaboration skills. Experience in the automotive sector is a plus. About Company Statement S&P Global delivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape. S&P Global Mobility turns invaluable insights captured from automotive data to help our clients understand today’s market, reach more customers, and shape the future of automotive mobility. About S&P Global Mobility At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow. For more information, visit www.spglobal.com/mobility. 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 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 314773 Posted On: 2025-05-13 Location: Gurgaon, Haryana, India Show more Show less

Maersk, the world's largest shipping company, is transforming into an industrial digital giant that enables global trade with its land, sea and port assets. We are the digital and software development organization that builds products in the areas of predictive science, optimization and IoT. This position offers the opportunity to build your engineering career in a data and analytics intensive environment, delivering work that has direct and significant impact on the success of our company. Global data analytics delivers internal apps to grow revenue and optimize costs across Maersk's business units. We practice agile development in teams empowered to deliver products end-to-end, for which data and analytics are crucial assets. This is an extremely exciting time to join a fast paced, growing and dynamic team that solves some of the toughest problems in the industry and builds the future of trade & logistics. We are an open-minded, friendly and supportive group who strive for excellence together A.P. Moller - Maersk maintains a strong focus on career development, and strong team members regularly have broad possibilities to expand their skill set and impact in an environment characterized by change and continuous progress. The team - who are we: We are an ambitious team with the shared passion to use data, machine learning (ML) and engineering excellence to make a difference for our customers. We are a team, not a collection of individuals. We value our diverse backgrounds, our different personalities and strengths & weaknesses. We value trust and passionate debates. We challenge each other and hold each other accountable. We uphold a caring feedback culture to help each other grow, professionally and personally. We are now seeking a new team member who is excited about using experiments at scale and ML-driven personalisation to create a seamless experience for our users, helping them find the products and content they didn’t even know they were looking for, and drive engagement and business value. Our new member - who are you You are driven by curiosity and are passionate about partnering with a diverse range of business and tech colleagues to deeply understand their customers, uncover new opportunities, advise and support them in design, execution and analysis of experiments, or to develop ML solutions for ML-driven personalisation (e.g., supervised or unsupervised) that drive substantial customer and business impact. You will use your expertise in experiment design, data science, causal inference and machine learning to stimulate data-driven innovation. This is an incredibly exciting role with high impact. You are, like us, a team player who cares about your team members, about growing professionally and personally, about helping your teammates grow, and about having fun together. Basic Qualifications: Bachelor’s or master’s degree in computer science, Software Engineering, Data Science, or related field 3–5 years of professional experience in designing, building, and maintaining scalable data pipelines, both in on-premises and cloud (Azure preferred) environments. Strong expertise in working with large datasets from Salesforce, port operations, cargo tracking, and enterprise systems etc. Proficient writing scalable and high-quality SQL queries, Python coding and object-oriented programming, with a solid grasp of data structures and algorithms. Experience in software engineering best practices, including version control (Git), CI/CD pipelines, code reviews, and writing unit/integration tests. Familiarity with containerization and orchestration tools (Docker, Kubernetes) for data workflows and microservices. Hands-on experience with distributed data systems (e.g., Spark, Kafka, Delta Lake, Hadoop). Experience in data modelling, and workflow orchestration tools like Airflow Ability to support ML engineers and data scientists by building production-grade data pipelines Demonstrated experience collaborating with product managers, domain experts, and stakeholders to translate business needs into robust data infrastructure. Strong analytical and problem-solving skills, with the ability to work in a fast-paced, global, and cross-functional environment. Preferred Qualifications: Experience deploying data solutions in enterprise-grade environments, especially in the shipping, logistics, or supply chain domain. Familiarity with Databricks, Azure Data Factory, Azure Synapse, or similar cloud-native data tools. Knowledge of MLOps practices, including model versioning, monitoring, and data drift detection. Experience building or maintaining RESTful APIs for internal ML/data services using FastAPI, Flask, or similar frameworks. Working knowledge of ML concepts, such as supervised learning, model evaluation, and retraining workflows. Understanding of data governance, security, and compliance practices. Passion for clean code, automation, and continuously improving data engineering systems to support machine learning and analytics at scale. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com. Show more Show less

We are seeking a skilled and motivated Software Developer to join our AI team. In this role, you will work on designing, building, and deploying cutting-edge AI-powered applications. You will collaborate with data scientists, software engineers, and product teams to create scalable, efficient, and impactful AI solutions across various domains. Key Responsibilities:  Develop, test, and deploy AI-driven applications and services.  Collaborate with cross-functional teams to integrate AI models into production systems.  Design and implement APIs, microservices, and user-facing components.  Work with large-scale data processing pipelines and model inference systems.  Optimize application performance, scalability, and maintainability.  Write clean, well-documented, and efficient code.  Participate in code reviews, testing, and system debugging.  Stay current with the latest AI technologies and development practices. Required Qualifications:  Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.  3+ years of professional experience in software development.  Strong proficiency in Python, Java, and other modern programming languages.  Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face, Scikit-learn).  Familiarity with RESTful APIs, microservices, and containerization (Docker, Kubernetes).  Solid understanding of software development best practices, version control (Git), and Continuous Integration/Continuous Development (CI/CD) pipelines. Preferred Qualifications:  Background in NLP, and generative AI applications.  Experience integrating machine learning models into production environments.  Familiarity with cloud platforms (AWS, GCP, or Azure).  Understanding of MLOps practices and tools.  Experience working in an Agile development environment. Show more Show less

Position Summary... What you'll do... About Team: The Data Science team at Walmart Global marketplace is focused on applying the latest research in machine learning, statistics and optimization to solve business problems in areas powering Marketplace growth and operation efficiency for multiple countries within Walmarts global operations. We, build and deploy Machine Learning models and use the latest algorithms and technology to empower business decision-making. We work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. What youII Do: As a Distinguished Data Scientist in the Marketplace data sciences team, you'll have the opportunity to - Drive innovative strategic solutions for Marketplace utilizing advanced SOTA AI and ML solutions at large scale and at accelerated pace. Drive data-derived insights by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Work closely with Directors, Sr. Managers of Data Science, and leaders of Architecture, Engineering, Product ; business teams to drive the Organizational strategy around Marketplace. Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals Mentor and guide a set of Data Scientists, Data Analysts across IDC and US to drive Marketplace growth and operation efficiency using advanced Machine Learning and Gen AI. Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train AI/ML models for replication for future projects Deploy and maintain the data science solutions Communicate recommendations to business partners and influence future plans based on insights Consult with product and business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Guides data scientists, senior data scientists and staff data scientists across the domain DS team to ensure on-time delivery of ML products. Proactive collaboration with cross-functional teams on driving the end-to-end content improvement. Research oriented development to find innovative solutions on content improvement, with a strong grasp of multi-lingual and multi-modal foundational models. Guides the data science team members to ensure on-time delivery of ML products Proactive identification of complex business problems that can be solved using advanced ML and Computer Vision, finding opportunities and gaps in the current business domain Evaluates proposed business cases for projects and initiatives Translates business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives the execution of deliverables Sets relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution Quantifies business impact and ensures regular impact measurement of all ML products in the domain. Identifies and reviews model evaluation metrics based on analytical requirements Ensures testing information is documented and maintained by the team Guide teams to perform model deployment following MLOps guidelines. Play a key role to solve complex problems, pivotal to Walmarts business and drive actionable insights Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Articulate and present recommendations to business partners and influence plans based on insights Partner and engage with associates in other regions for delivering the best services to customers around the globe Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions. Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving Proactively engages in the external community to build Walmarts brand and learn more about industry practices Promote and support company policies, procedures, mission, values, and standards of ethics and integrity What YouII Bring: Bachelors with > 20 years, Masters > 17 years OR Ph.D. in Comp Science/Statistics/Mathematics with > 14 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area. Experience of acting as a tech lead for > 10 years. Ability to lead data science projects end to end. Deep experience in building data science solutions at the scale of billions of datapoints across many countries. Strong experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms, Generative AI models. Experience in analyzing complex problems and translating them into analytical solutions. Deep experience in analyzing complex problems and translating them into analytical solutions. Strong experience in Computer Vision, image processing, object detection, Deep learning. Exposure to image features, edge detection, blur, sharpness, corner detection, face detection, knowledge of how image data is represented. Knowledge of Deep learning, CNNs, and components of CNNs, loss functions for classification, object detection, segmentation. Experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Recommendation models, deep-learning, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation Ability to utilize data science solutions outcomes to drive predictive and prescriptive analytics. Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data Ability to scale and deploy data science solutions. Experience in LLMs, VLMs, embedding generation from multimodal data, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance. Strong Experience in Python, PySpark, OpenCV, Python, C++, Keras, tensorflow, pytorch, big data platforms like Hadoop Google Cloud platform, Vertex AI, Kubeflow, model deployment, Kafka streaming, API development ; deployment, CI/CD, MLOPs About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is ''everyone included.'' By fostering a workplace culture where everyone isand feelsincluded, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, were able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 3: 8 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location... 4,5,6, 7 Floor, Building 10, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2140023 Show more Show less

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ The Role The AI Models and Applications team is looking for an exceptional machine learning scientist / engineer to explore and innovate on architectures and training techniques for large language models (LLMs), large multimodal models (LMMs), image/video generation and other foundation models. You will be part of a world-class research and development team focussing on efficient and scalable pre-training, instruction tuning, alignment and optimization. As an early member of the team, you can help us shape the direction and strategy to fulfill this important charter. The Person This role is for you if you are passionate about reading through the latest literature, coming up with novel ideas, and implementing those through high quality code to push the boundaries on scale and performance. The ideal candidate will have both theoretical expertise and hands-on experience with developing LLMs, LMMs, and/or diffusion models. We are looking for someone who is familiar with hyper-parameter tuning methods, data preprocessing & encoding techniques and distributed training approaches for large models. Key Responsibilities Pre-train and finetune over large GPU clusters while optimizing for various trade-offs. Improve upon the state-of-the-art in Generative AI model architectures and training techniques. Accelerate the training and inference speed across AMD accelerators. Publish your work at top-tier conferences & workshops and/or through technical blogs. Engage with academia and open-source ML communities. Drive continuous improvement of infrastructure and development ecosystem. Preferred Experience Strong development and debugging skills in Python. Experience in deep learning frameworks (like PyTorch or TensorFlow) and distributed training tools (like DeepSpeed or Pytorch Distributed). Experience with fine-tuning methods (like RLHF & DPO) as well as parameter efficient techniques (like LoRA & DoRA). Solid understanding of various types of transformers and state space models. Strong publication record in top-tier conferences, workshops or journals. Solid communication and problem-solving skills. Academic Credentials Advanced degree (Master’s or PhD) in machine learning, computer science, artificial intelligence, or a related field is expected. Exceptional Bachelor’s degree candidates will also be considered. Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. Show more Show less

Responsibilities: • Design and develop GenAI-based solutions using LLMs (e.g., Bedrock, OpenAI, Claude) for text, image, table, diagram, and multi-modal applications. • Implement a multi-agent system that integrates structured and unstructured data sources, including knowledge graphs, embeddings, and vector databases. • Build and deploy agentic AI workflows capable of autonomous task completion, using frameworks like LangChain, LangGraph, or CrewAI. • Perform fine-tuning, retraining, or adaptation of open-source or proprietary LLMs for specific domain tasks. • Collaborate with data scientists and domain experts to curate and preprocess training datasets. • Integrate models with scalable backend APIs or pipelines (REST, FastAPI, gRPC) for real-world applications. • Stay updated with state-of-the-art research and actively contribute to enhancing model performance and interpretability. • Optimize inference, model serving, and memory management for deployment at scale. Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, Data Science, or related field. • 5+ years of hands-on experience in Deep Learning, NLP, and LLMs. • Proven experience with at least one end-to-end project involving multi-modal RAG and Agentic AI. • Proficient in Python and ML/DL libraries such as PyTorch, TensorFlow, Transformers (HuggingFace), LangChain, LangGraph, Bedrock, or similar • Experience in fine-tuning or adapting LLMs (using LoRA, QLoRA, PEFT, or full fine-tuning). • Experience in building a multi-agent system. • Strong understanding of knowledge graphs, embeddings, vector databases (e.g., FAISS, Chroma, Weaviate), and prompt engineering. • Strong understanding and experience of a cloud platform like AWS. • Familiarity with containerization (Docker, Kubernetes) Preferred Skills • Experience in the Biopharma industry. • Design and implement user-friendly interfaces for AI applications. • Utilize modern web frameworks (e.g., React, Vue.js) to create engaging user experiences. • Develop scalable and efficient backend systems to support the deployment of AI models. • Integrate with cloud platforms (AWS) for infrastructure management. • Hands-on experience in vision-language models (e.g., CLIP, BLIP, LLaVA). • Publications, Kaggle competitions, or GitHub projects in GenAI Show more Show less

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ The Role AMD is looking for a software engineer who is passionate about expanding AI models on AMD GPUs, and improving the performance of key applications and benchmarks. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology. The Person Strong technical and analytical skills in C++/Python AI development in a Linux environment. Ability to work as part of a team, while also being able to work independently, define goals and scope and lead your own development effort. Key Responsibilities Enable and optimize key AI models (LLM, Vision, MultiModal, etc.) on AMD GPUs Optimize AI frameworks like PyTorch, TensorFlow, etc. on AMD GPUs in upstream open-source repositories Collaborate and interact with internal GPU library teams to analyze and optimize training and inference for AI Work with open-source framework maintainers to understand their requirements - and have your code changes integrated upstream Optimize GPU kernels, understand and drive AI operator performance (GEMM, Attention, etc.) with specialized teams Work in a distributed computing setting to optimize for both scale-up (multi-GPU) and scale-out (multi-node) systems Apply your knowledge of software engineering best practices Preferred Experience Knowledge of GPU computing (HIP, CUDA, OpenCL) AI model experience or knowledge - Natural Language Processing, Vision, Audio, Recommendation systems Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design. Experiences to run workloads on large scale heterogeneous cluster is a plus Experiences to optimize GPU kernels for performance is a plus Academic Credentials Masters or PhD or equivalent experience in Computer Science, Computer Engineering, or related field Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. Show more Show less

LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. As part of our world-class software engineering team, you will be charged with building the next-generation information retrieval infrastructure and platforms for LinkedIn, including but not limited to: search systems, vector databases, system infrastructure, and other AI platform components. You will drive the technology vision and create business impact by putting to use your passion for very large scale information retrieval systems and software as a service and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. Responsibilities: - You will build and ship software, drive architectural decisions and implementation across the BigData ecosystem that includes compute engines, processing pipelines, storage, observability, compliance.etc. - You will design the right interfaces/APIs for long term evolution of the services. - You will be responsible for the high availability, reliability, scalability and performance of these systems - You will invest in growing junior engineers with a high craft bar. - You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. - You will lead cross team/cross functional discussions and drive alignment on product/technology strategy. You will work closely with other stakeholders to drive intra-team alignment. - You will be a primary domain expert to influence technology choices. Basic Qualifications: - BA/BS Degree or higher in Computer Science or related technical discipline, or related practical experience - 18+ years of programming experience in C++, Rust or similar systems programming languages - 18+ years experience building large-scale distributed systems, applications or similar experience Preferred Qualifications: - MS or PhD in Computer Science or related technical discipline. - Experience with strategic planning, executing on a long term roadmap, team development and scaling processes to support business growth. - Designing and building infrastructure and backend services at internet scale. - Building and shipping high quality work while achieving high reliability. - Utilizing data and analysis in articulating technical problems and in arriving at recommendations and solutions. - Leading high-impact cross-org initiatives - Expertise in model inference or online model serving systems Suggested Skills: - Large scale distributed systems - Strategic thinking - Information Retrieval You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal Show more Show less

Job Title: Full Stack GenAI Lead Location: Gurgaon Job Summary: We are seeking a Full stack Lead Developer with strong expertise in Python, Angular, and Java, along with hands-on experience or exposure to Agentic AI Framework or Generative AI (GenAI) technologies. The ideal candidate will be responsible for designing and developing end-to-end solutions, leading development teams, and integrating GenAi capabilities into scalable applications. Knowledge of Agile/Scrum methodologies and SDLC, release/change management Key Responsibilities: Work closely with cross-functional teams to gather and refine requirements, and align technical solutions with business goals. Sound knowledge of Angular and Python , AWS bedrock, Lambda, Step function Implement and manage CI/CD pipelines optimized for GenAI model deployment. Integrate GenAI models (LLMs, etc.) into existing and new software systems. Ensure data pipelines for GenAI model training and inference are efficient and reliable. Troubleshoot and resolve issues across the full stack and GenAI integrations. Stay current with GenAI advancements and full-stack technologies Proficiency in multiple programming languages (e.g., Python, JavaScript, Java). Strong experience with front-end frameworks (e.g., React, Angular, Vue.js). Solid back-end development skills (e.g., Node.js, Python frameworks like Flask/Django, Spring). Experience with databases (SQL, NoSQL). Familiarity with cloud platforms (AWS). Understanding of SDLC principles and agile methodologies. Hands-on experience integrating AI/ML models into applications. Understanding of Generative AI concepts (LLMs, transformers, etc.).work with Agentic AI framework or other Gen AI models/APIs (e.g., OpenAI, Hugging Face, Google Vertex AI). Excellent problem-solving and analytical skills. Strong communication and leadership abilities. Show more Show less

About AION AION is transforming the future of high-performance computing (HPC) through its decentralized GPU compute marketplace, democratizing access to compute power for AI training, fine-tuning, inference, data labeling, and beyond. By leveraging underutilized resources such as idle GPUs and data centers, AION provides a scalable, cost-effective, and sustainable solution tailored for developers, researchers, and enterprises. Integrated with Tether (USD₮) for stability and regulatory clarity, AION eliminates volatility, ensuring predictable costs and seamless transactions. The platform's innovative Proof of Compute Contribution (PoCC) protocol rewards contributors based on performance, creating a transparent and efficient ecosystem. With cutting-edge partnerships and a USD-backed economy, AION is pioneering the commoditization of high-performance compute, empowering global innovation and bridging the AI wealth gap for a more equitable future. Key Responsibilities: Content Strategy Ownership Develop and execute a content marketing plan that supports AION's positioning in AI ecosystems, Decentralized compute and web3 ecosystem, aligned with product roadmap and go-to-market priorities. Campaign Execution Plan and launch integrated content campaigns across AION's blog, email, X (Twitter), community channels, partnerships, and earned media Lead Generation Support Create content assets (e.g. white papers, explainers, product deep dives) that support lead capture and qualification efforts Community & Ecosystem Content Collaborate with partner protocols, GPU providers, and developers to co-create content that deepens community engagement and ecosystem visibility Performance Analytics Track key performance metrics (traffic, conversion, engagement) to inform strategy and iterate on what works Cross-Functional Collaboration Work with Product, BD, DevRel, and Creative teams to ensure message-market fit across all content and comms. Requirements Must-Have: 4-6 years of experience in marketing, with at least 2 years in content strategy or campaign-focused roles Strong understanding of AI cloud ecosystem, GPU compute marketplace and Web3 ecosystem Proven ability to create content that drives measurable business outcomes (traffic, MQLs, partner traction) Excellent writing, messaging, and storytelling skills, especially in technical and Web 3.0 contexts Experience managing editorial calendars and multi-channel marketing campaigns Familiarity with crypto-native platforms (X/Twitter, Farcaster, Discord) and SEO/content performance tools Nice-to-Have: Experience in a marketing or content role at an AI cloud compute, L1/L2 protocol, decentralized infra startup, Understanding of Web 2.0 and Web 3.0 marketing approaches Experience with CMS tools (Webflow, WordPress), analytics (GA4, HubSpot), and Notion Benefits The opportunity to shape the go-to-market strategy of a category-defining platform Autonomy and ownership in a flat, fast-moving startup environment Direct access to product, engineering, and leadership teams Competitive compensation and performance-based incentives Remote-first culture with flexible hours and async work support Show more Show less

About AION AION is transforming the future of high-performance computing (HPC) through its decentralized GPU compute marketplace, democratizing access to compute power for AI training, fine-tuning, inference, data labeling, and beyond. By leveraging underutilized resources such as idle GPUs and data centers, AION provides a scalable, cost-effective, and sustainable solution tailored for developers, researchers, and enterprises. Integrated with Tether (USD₮) for stability and regulatory clarity, AION eliminates volatility, ensuring predictable costs and seamless transactions. The platform's innovative Proof of Compute Contribution (PoCC) protocol rewards contributors based on performance, creating a transparent and efficient ecosystem. With cutting-edge partnerships and a USD-backed economy, AION is pioneering the commoditization of high-performance compute, empowering global innovation and bridging the AI wealth gap for a more equitable future. Key Responsibilities: Content Creation: Write clear, engaging content including blog posts, social media captions, newsletters, landing pages, and more Technical Storytelling: Translate complex AI and Web 3.0 topics into easy-to-understand narratives for both technical and non-technical audiences Content Research: Conduct topic research to support content development and ensure technical accuracy Editorial Support: Assist in editing and proofreading content for clarity, grammar, and style consistency SEO Optimization: Apply basic SEO principles to improve content discoverability Content Calendar: Help maintain and contribute to the content calendar, ensuring timely delivery of assets Cross-Functional Support: Collaborate with Product, Design, and Marketing teams to align messaging and campaign goals Asset Creation: Support production of case studies, website copy, and product-related content. Requirements Required: 3+ years of experience in content writing, preferably in tech, AI, blockchain, or related industries Excellent writing and editing skills with strong attention to detail Ability to adapt tone and style across different formats and audiences Basic understanding of SEO and content performance metrics Experience working in fast-paced, collaborative environments Passion for technology and curiosity to learn complex topics Preferred: Experience writing for AI, Web 3.0 or deep tech audiences Familiarity with WordPress, CMS platforms, or marketing tools like HubSpot with proven experience in implementing workflows Exposure to content marketing, newsletters, or lead-generation content Understanding of content funnels and how content supports business goals Bachelor's degree in Communications, Journalism, Marketing, or a related field Benefits Autonomy and ownership in a flat, fast-moving startup environment Flexible work environment with remote-first culture and generous PTO Opportunities for rapid professional growth and leadership advancement Direct access to product, engineering, and leadership teams Competitive compensation and performance-based incentives Show more Show less

About Us At Rebhu Computing , we build intelligent, robust, and efficient systems for real-world autonomy. From robotics to embedded AI platforms, our work is rooted in prudent intelligence, engineering solutions that balance insight, precision, and real-world impact. We're looking for a Senior Engineer - Perception Systems to lead the design and development of high-performance perception modules that power next-generation robotic systems. Key Responsibilities Technical Leadership Architect end-to-end perception systems : data acquisition, preprocessing pipelines, inference engines, and deployment. Oversee the integration of perception modules (CV, LiDAR, radar, thermal, etc.) with robotic platforms. Drive performance optimization of real-time computer vision and sensor fusion stacks. Team & Project Support Mentor junior engineers and support the technical growth of the team. Collaborate with cross-functional teams across embedded systems, AI, and robotics. Ensure clear and effective communication between internal stakeholders and clients. Engineering Management Set standards for code quality , testing, and continuous integration. Lead technical decision-making and milestone planning for perception deliverables. Act as a technical POC for clients and internal leadership. Hiring & Team Building Define role requirements, conduct technical interviews, and contribute to building a world-class perception team. Help shape our engineering culture through thoughtful hiring and mentoring. Requirements Must-Have: 5+ years of experience in computer vision , sensor fusion , or robotics perception . Proficiency in C++ and/or Python for real-time systems. Strong experience with OpenCV , ROS , TensorRT , or similar frameworks. Hands-on experience deploying models on embedded or edge platforms (e.g., Jetson, Xavier, Coral). Deep understanding of camera models, calibration, and real-time data processing. Nice-to-Have: Experience with SLAM, multi-sensor fusion, or 3D vision pipelines. Familiarity with embedded Linux, GStreamer, or low-latency video pipelines. Prior leadership, mentoring, or hiring experience. What We Offer Opportunity to lead perception in mission-critical, real-world systems. A collaborative and intellectually vibrant environment. Competitive compensation and performance-based incentives. Show more Show less

Coursera was launched in 2012 by Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 175 million registered learners as of March 31, 2025. Coursera partners with over 350 leading universities and industry leaders to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp. Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns. At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you. Job Overview: At Coursera, our Data Science team is helping to build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference to help Coursera deliver effective content discovery and personalized learning at scale. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality. We are seeking a highly skilled and collaborative Senior Data Scientist to join our Data Science team. In this role, you will report directly to the Director of Data Science and play a pivotal role in shaping our product strategy through data-driven insights and analytics. You will leverage your expertise in user behavior tracking, instrumentation, A/B testing, and advanced analytics techniques to gain a deep understanding of how users interact with our platform. Your insights will directly inform product development, enhance user experience, and drive engagement across various segments. Our ideal candidate possesses strong analytical skills, business acumen, and the ability to translate analysis into actionable recommendations that drive product improvements and user engagement. You should have excellent written and verbal communication skills. Collaborating closely with cross-functional teams—including product managers, designers, and engineers—you will ensure that data informs every aspect of product decision-making. Responsibilities: Design and implement instrumentation strategies for accurate tracking of user interactions and data collection. Develop and maintain data pipelines to ensure seamless data flow and accessibility for analysis. Analyze user behavior to provide actionable insights that inform product enhancements and drive user engagement. Conduct A/B testing and experimentation to evaluate the impact of product features and optimize user experience. Perform advanced analytics to uncover trends and patterns in user data, guiding product development decisions. Collaborate with product managers, designers, and engineers to define key performance indicators (KPIs) and assess the impact of product changes. Analyze user feedback and survey data to gain insights into user satisfaction and identify areas for improvement. Create interactive dashboards and reports to visualize data and communicate findings effectively to stakeholders. Leverage statistical analysis and predictive modeling to inform product roadmap and strategic decisions. Basic Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related technical field. 7+ years of experience using data to advise product or business teams, with a focus on product analytics. Strong SQL skills and advanced proficiency in statistical programming languages such as Python, along with experience using data manipulation libraries (e.g., Pandas, NumPy). Knowledge of data pipeline development and best practices in data management. Strong applied statistics skills, including experience with statistical inference techniques, predictive modeling and A/B testing methodologies. Intermediate proficiency in data visualization tools (e.g., Tableau, Power BI, Looker) and a willingness to learn new tools as needed. Excellent business intuition and project management abilities. Effective communication and presentation skills, with experience presenting to diverse teams and stakeholders, from individual contributors to executives. Preferred Qualifications: Familiarity with the educational technology sector, specifically with platforms like Coursera Experience with Airflow, Databricks and/or Looker Experience with Amplitude Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org. For California Candidates, please review our CCPA Applicant Notice here. For our Global Candidates, please review our GDPR Recruitment Notice here. Show more Show less

About the Company Resources is the backbone of Publicis Groupe, the world’s third-largest communications group. Formed in 1998 as a small team to service a few Publicis Groupe firms, Re:Sources has grown to 5,000+ people servicing a global network of prestigious advertising, public relations, media, healthcare, and digital marketing agencies. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury, and risk management to help Publicis Groupe agencies do their best: create and innovate for their clients. In addition to providing essential, everyday services to our agencies, Re:Sources develops and implements platforms, applications, and tools to enhance productivity, encourage collaboration, and enable professional and personal development. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. With our support, Publicis Groupe agencies continue to create and deliver award-winning campaigns for their clients. About the Role The main purpose of this role is to advance the application of business intelligence, advanced data analytics, and machine learning for Marcel. The role involves working with other data scientists, engineers, and product owners to ensure the delivery of all commitments on time and in high quality. Responsibilities Develop and maintain robust Python-based backend services and RESTful APIs to support machine learning models in production. Deploy and manage containerized applications using Docker and orchestrate them using Azure Kubernetes Service (AKS). Implement and manage ML pipelines using MLflow for model tracking, reproducibility, and deployment. Design, schedule, and maintain automated workflows using Apache Airflow to orchestrate data and ML pipelines. Collaborate with Data Scientists to productize NLP models, with a focus on language models, embeddings, and text preprocessing techniques (e.g., tokenization, lemmatization, vectorization). Ensure high code quality and version control using Git; manage CI/CD pipelines for reliable deployment. Handle unstructured text data and build scalable backend infrastructure for inference and retraining workflows. Participate in system design and architecture reviews for scalable and maintainable machine learning services. Proactively monitor, debug, and optimize ML applications in production environments. Communicate technical solutions and project status clearly to team leads and product stakeholders. Qualifications Minimum Experience (relevant): 5 years Maximum Experience (relevant): 9 years Bachelor's degree in engineering, computer science, statistics, mathematics, information systems, or a related field from an accredited college or university; Master's degree from an accredited college or university is preferred. Or equivalent work experience. Required Skills Proficiency in Python and frameworks like FastAPI or Flask for building APIs. Solid hands-on experience with Docker, Kubernetes (AKS), and deploying production-grade applications. Familiarity with MLflow, including model packaging, logging, and deployment. Experience with Apache Airflow for orchestrating ETL and ML workflows. Understanding of NLP pipelines, language models (e.g., BERT, GPT variants), and associated libraries (e.g., spaCy, Hugging Face Transformers). Exposure to cloud environments, preferably Azure. Strong debugging, testing, and optimization skills for scalable systems. Experience working with large datasets and unstructured data, especially text. Preferred Skills Advanced knowledge of data science techniques, and experience building, maintaining, and documenting models. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing ADF and PySpark based data pipelines, architectures and data sets on Graph and Azure Datalake. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable Azure based data stores. Strong project management and organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment. Understanding of Node.js is a plus, but not required. Show more Show less

About SAI Group SAI Group is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $750 million in annual revenue, and employing a global workforce of over 4,000 individuals. SAI Group invests in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. SAI Group’s latest investment, JazzX , is a pioneering technology company which is building a platform that will not only shape the future of enterprise AI applications but also offer practical solutions to real-world challenges. Technical Product Manager Role Overview At JazzX AI, we are redefining the future of work through innovation in Artificial General Intelligence (AGI). As a Product Manager , you will play a pivotal role in driving the strategy, execution, and innovation of our mortgage application and solutions, powered by our AGI platform. This is an opportunity to lead groundbreaking initiatives in AI-driven enterprise solutions, collaborating with world-class teams in engineering, data science, and infrastructure. You’ll influence the trajectory of an application and solution designed to transform the future of work at enterprises. If you're passionate about creating a product that is technically complex, highly scalable, and built for the enterprise, this role is for you. What You’ll Do Shape the Vision and Strategy Craft and communicate a multi-year vision for our mortgage application, covering areas like large-scale language models, generative AI capabilities, and integration frameworks. Identify and integrate emerging technologies such as foundation models, multimodal AI, and advanced prompt engineering to ensure our application stays ahead of the curve. Position the application as a market leader by blending technical innovation with business impact. Own the Technical Roadmap Define and maintain a forward-looking technical roadmap that aligns engineering initiatives with product strategy and business goals Partner with engineering leads to prioritize tech debt, system scalability, and infrastructure improvements alongside feature development Translate complex business needs into technical requirements that are actionable, scalable, and aligned with long-term goals. Lead with Technical Depth Dive deep into technical details, from model architectures to inference optimizations, guiding trade-offs between accuracy, latency, cost, and scalability. Act as a critical link between product strategy and engineering execution, influencing architectural decisions to support reliability and extensibility. Engage Stakeholders and Customers Work with executive leadership to align investments with corporate strategy and ensure optimal resource allocation. Partner with enterprise customers and industry leaders to gather insights, validate product-market fit, and refine product positioning to address unmet needs. Foster Collaboration and Mentorship Lead cross-functional initiatives spanning UX, engineering, data science, marketing, and support to deliver seamless mortgage solutions. Mentor product managers, sharing best practices for technical product management, roadmap planning, and data-driven decision-making. Drive Impact through Metrics Define and monitor success metrics such as customer satisfaction and platform adoption. Iterate rapidly on platform features based on user feedback and market trends to maintain competitive leadership. What We’re Looking For Experience & Achievements 8+ years in product management with a focus on technical domains like AI/ML platforms, cloud infrastructure, or AIOps tools. Proven track record in scaling enterprise AI products, especially those leveraging large language models or generative AI. Experience managing end-to-end product lifecycles, from concept to successful market adoption. Define and drive creative, detailed product definition of new capabilities, manage prioritization and trade-offs among competing high value opportunities and partner closely with design & engineering teams to deliver products to customers. Experience with the US Residential Mortgage industry Technical Expertise Strong understanding of mortgage domain architecture, including loan origination systems (LOS), automated underwriting systems (AUS), and secondary market integrations (e.g., Fannie Mae, Freddie Mac, FHA/VA) Experience working with APIs and data pipelines for pulling, validating, and integrating borrower, property, and credit data from third-party services (e.g., credit bureaus, appraisal services, GSE tools) Ability to collaborate deeply with engineering teams on designing scalable backend systems, data models (e.g., MISMO 3.4 XML/JSON), and secure workflows for sensitive financial data Familiarity with compliance and regulatory requirements impacting mortgage technology (e.g., TRID, HMDA, RESPA), and how they influence system design and roadmap priorities Comfort working with modern development stacks, cloud infrastructure (AWS/Azure), and CI/CD pipelines to assess tradeoffs and support delivery decisions Leadership & Communication Exceptional storytelling and communication skills, capable of simplifying complex technical concepts for diverse audiences. Partner closely with GTM, Sales and external customers to build and communicate a compelling vision for the AGI platform to drive strategic alignment and unlock customer value. Strategic Insight Analytical thinker with a keen ability to interpret market trends, assess competition, and identify opportunities for differentiation. Adept at defining adaptable product strategies in fast-evolving, competitive landscapes. Educational Background Bachelor’s degree in Computer Science, Engineering, or a related technical field is required. Advanced degrees (MBA, MS, or PhD) are preferred but not mandatory. Why Join Us At JazzX, you have the opportunity to become an integral part of a pioneering team that is pushing the envelope of AI capabilities to create an autonomous intelligence driven future. We champion bold innovation, continuous learning, and embrace the challenges and rewards of crafting something genuinely groundbreaking. Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering a unique chance to leave your mark on the future of AI. We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more. We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Show more Show less

CryptoChakra.com is a rapidly evolving cryptocurrency analytics and education platform dedicated to empowering users with data-driven insights and next-generation tools. Currently in its development phase, we are building scalable AI infrastructure to support advanced analytics, real-time market predictions, and robust educational resources. By integrating artificial intelligence with blockchain technology, our platform aims to transform raw data into actionable intelligence for crypto enthusiasts and investors worldwide. Our mission is to deliver secure, reliable, and scalable data solutions that fuel AI-driven innovations and foster financial literacy. As we expand, we remain committed to technical excellence, transparency, and democratizing access to cutting-edge crypto analytics. Role Description Position: Data Analyst (AI Infrastructure) – Remote Employment Type: Internship or Entry-Level (Paid or unpaid, depending on suitability and project requirements) Key Responsibilities: AI Data Pipeline Management: Assist in building, maintaining, and optimizing data pipelines that feed AI and machine learning models with clean, structured, and accurate data. Data Quality Assurance: Monitor, validate, and preprocess large datasets to ensure data integrity and reliability for AI training and inference. Infrastructure Collaboration: Work closely with data engineers and AI teams to translate computational needs into scalable infrastructure solutions, leveraging cloud platforms (AWS, Azure, Google Cloud) and automation tools. Data Transformation & Integration: Support the development and maintenance of data warehouses, data lakes, and integration frameworks to streamline data flow for analytics and AI workloads. Performance Monitoring: Track and report on the performance of data infrastructure, identifying bottlenecks and opportunities for optimization. Process Improvement: Document workflows, automate repetitive tasks, and implement best practices for data governance and observability. Learning Outcomes: Hands-on experience with AI/ML data workflows, cloud infrastructure, and big data tools. Exposure to automated data validation, ETL processes, and data observability platforms. Mentorship from experts in AI infrastructure, data engineering, and blockchain analytics. Qualifications Core Requirements: Technical Proficiency: Strong foundation in Python, SQL, and data manipulation libraries (Pandas, NumPy). Data Management Skills: Experience with data cleaning, preprocessing, and quality assurance for AI/ML applications. Cloud & Automation: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and automation tools (Terraform, Ansible, Docker, Kubernetes) is a plus. Analytical Mindset: Ability to troubleshoot data anomalies, optimize data flows, and collaborate with cross-functional teams. Remote Work Ethic: Self-motivated with strong time management and communication skills for remote collaboration. Academic Background: Pursuing or holding a degree in Data Science, Computer Science, Engineering, or a related field. Preferred Assets: Knowledge of data validation and observability tools (Great Expectations, Monte Carlo, Apache Griffin). Experience with version control (Git) and agile development methodologies. Interest in blockchain technology, cryptocurrency markets, or decentralized applications. Show more Show less

Description The Current Product Reliability Engineer plays a vital role in ensuring the reliability and durability of Cummins' products by applying sound statistical tools, warranty data analysis, and technical insights. This role focuses on reliability data analytics for various products, identifying failure trends, reporting to leadership, and supporting improvement initiatives. Working under the guidance of experienced team members, the engineer will contribute to customer satisfaction and product excellence by driving fact-based decisions and proactive problem-solving. Key Responsibilities Apply engineering and scientific methods to analyze reliability data and ensure component and system reliability meets defined targets. Perform warranty data analysis, life data analysis, and reliability analytics using statistical methods and tools. Present analysis reports to leadership teams, explain problems identified, and recommend corrective actions. Support the development of methods, processes, and tools that quantify and enhance product reliability. Work collaboratively with cross-functional teams including Service, Quality, Finance, Marketing, and Design Engineering. Apply statistical and reliability analysis techniques to evaluate the impact of design changes on reliability. Support root cause analysis and corrective/preventive actions for reported product failures. Assist problem-solving teams in assessing reliability risks and defining mitigation strategies. Support the development and execution of reliability test plans, including accelerated testing and field data validation. Responsibilities Competencies Applies Principles of Statistical Methods: Uses descriptive statistics, probability distributions, inference, and regression analysis for data-driven decisions. Product Failure Mode Avoidance: Identifies and mitigates potential failure modes and causes to improve reliability. Product Failure Reporting and Corrective/Preventive Action Systems: Defines and supports rigorous failure analysis and problem resolution processes. Product Problem Solving: Applies systematic approaches to protect customers, resolve issues, and prevent recurrence. Product Reliability and Reliability Risk Management: Contributes to reliability planning and validation for new and current products. Quantitative Reliability Analysis: Applies statistical models to assess failure rates, compare alternatives, and validate improvements. Reliability Test Planning: Designs reliability test plans, including accelerated and field testing, to uncover and address unknown failure modes. Customer Focus: Builds strong relationships and delivers customer-centric solutions. Global Perspective: Approaches challenges with a broad, global view. Values Differences: Recognizes and appreciates diverse perspectives and cultures in problem-solving. Skills And Experience Basic relevant work experience through internships, co-ops, or professional roles. Knowledge of engine and Genset components, functions, and failure modes. Experience in Service and Quality functions is desirable. Proficiency in MS Office (Word, PowerPoint, Excel). Advanced Excel skills including VBA programming and Power Pivot are highly desirable. Exposure to statistical software packages such as Minitab, Weibull++, Winsmith, JMP, and R is preferable. Knowledge of engine performance measurement techniques is an advantage. Awareness of warranty data analysis and life data analysis methods is preferable. Proven ability to handle large datasets and extract meaningful insights. Qualifications Qualifications Bachelor’s or master’s degree in engineering (Mechanical, Electrical, Industrial, or a related field) or equivalent technical discipline. Six Sigma Yellow Belt certification is required; Green Belt certification is preferred. This position may require licensing for compliance with applicable export controls or sanctions regulations. Desired Candidate Profile Knowledge of engine and Genset components, functions, and failure modes. Experience with MS Office tools (Word, PowerPoint, Excel) is preferred. Proficiency in Excel programming (VBA) and Power Pivot is desirable. Familiarity with statistical software packages (e.g., Minitab, Weibull++, Winsmith, JMP, R-Programming) is preferred. Knowledge of engine performance measurement is advantageous. Awareness of warranty data analysis and life data analysis is preferable. Monitor field performance, warranty, and return data to identify emerging reliability issues. Understanding of 7QC tools, 8D/7Step problem solving techniques, RCA, FTA, IDFEMA etc. Experience in service and quality functions is desirable. Strong analytical skills for handling large datasets and deriving meaningful conclusions. Six Sigma Yellow Belt certification required; Green Belt certification preferred. This is a hybrid work position. Job Quality Organization Cummins Inc. Role Category Remote Job Type Exempt - Experienced ReqID 2413765 Relocation Package No Show more Show less

Kore.ai is a pioneering force in enterprise AI transformation, empowering organizations through our comprehensive agentic AI platform. With innovative offerings across "AI for Service," "AI for Work," and "AI for Process," we're enabling over 400+ Global 2000 companies to fundamentally reimagine their operations, customer experiences and employee productivity. Our end-to-end platform enables enterprises to build, deploy, manage, monitor, and continuously improve agentic applications at scale. We've automated over 1 billion interactions every year with voice and digital AI in customer service, and transformed employee experiences for tens of thousands of employees through productivity and AI-driven workflow automation. Recognized as a leader by Gartner, Forrester, IDC, ISG, and Everest, Kore.ai has secured Series D funding of $150M, including strategic investment from NVIDIA to drive Enterprise AI innovation. Founded in 2014 and headquartered in Florida, we maintain a global presence with offices in India, UK, Germany, Korea, and Japan. You can find full press coverage at https://kore.ai/press/ POSITION / TITLE: QA Lead POSITION SUMMARY: As a QA Automation Technical Lead for the Agent-Platform product at Kore.ai, you will be responsible for driving the end-to-end test automation strategy to ensure a high-quality and reliable enterprise-grade AI platform. You will lead a team of automation engineers and collaborate with cross-functional teams to validate complex features, services, and workflows at scale. LOCATION: Hyderabad (Work from Office) Responsibilities Begin with leading the daily QA stand-up, assigning priorities, removing blockers, and mentoring the team on test automation practices. Define and continuously evolve the automation strategy for web, API and data validation across our products. Drive the design, implementation, and maintenance of scalable test automation frameworks in Python and open-source tools such as Selenium and Behave. Lead test coverage and BDD test development with tools like Behave, ensuring reliable and maintainable tests. Collaborate closely with developers, product managers, and DevOps teams to integrate automated tests into CI/CD pipelines (Jenkins, Git). Perform code reviews, monitor test effectiveness, and ensure tests are consistently delivering accurate feedback on release readiness. Analyze failed test results, troubleshoot regressions, and proactively address quality risks in early development stages. Stay on top of emerging trends in QA, AI/ML testing, and generative automation tools to enhance the QA tech stack. Contribute to strategic quality initiatives such as test data management, environment stability, and performance validation. Skills Required Minimum 7–8 years of experience in test automation, including 2 years of hands-on experience guiding or coordinating test automation efforts within a team Strong hands-on experience with Python, Selenium WebDriver, and API testing tools. Proficiency in BDD using Cucumber and test execution frameworks like pytest. Experience in designing test automation strategies for large-scale platforms with CI/CD pipelines (Jenkins, Git). Ability to troubleshoot complex systems, isolate automation failures, and mentor junior engineers. Familiarity with test reporting, test data generation, and defect lifecycle management. Excellent communication and collaboration skills to work with cross-functional product and engineering teams. Familiarity with AI/ML concepts and their validation, including model inference testing and chatbot workflows, is a plus Education Qualification Bachelor’s in engineering or Master’s in computer applications Technologies We Use Python, Selenium, Cucumber, Behave, Jenkins, Git, Postman, JIRA, MongoDB (for test data), Cloud platforms (AWS preferred) Why Join Us? At Kore.ai, you won't be maintaining quality for conventional software—you'll be defining what quality means for an entirely new category of platform technology that enables enterprise-scale agentic applications. Your work will directly influence how the world's leading organizations build, deploy, and trust AI systems, establishing standards that could transform the industry. Join us in building not just a better platform, but the frameworks that ensure enterprise agentic applications deliver on their transformative promise safely, effectively, and responsibly at scale. Show more Show less

Introduction IBM Research is the innovation and growth engine of the IBM corporation. It is the largest industrial research organization in the world with 12 labs on 6 continents. IBM Research produces more breakthroughs–more than 9 patents are produced every day–than any other organization in the world. IBM employs over 3200 researchers worldwide. IBM Research India (IRL) is the leading industrial research lab in India, shaping the future of computing across AI, Hybrid Cloud and Quantum Computing. IRL has a long legacy of ground-breaking innovation in the areas of computer science and its applications to a wide variety of disciplines and offerings for IBM. IRL researchers are working on projects that are pushing the state of the art across Foundation Models, optimized runtime stacks for FM workloads such as tuning, large scale data engineering and pre-training, multi-accelerator model optimization, agentic workflows and modalities across language, code, time series, IT automation and geospatial. We are strong proponents of open-source community-driven software and model development, and our work spans a wide spectrum from research collaborations with academia to developing enterprise-grade commercial software. Your Role And Responsibilities Research Engineer position at IBM India Research Lab is a challenging, dynamic and highly innovative role. Some of our current areas of work where we are actively looking for top talent are: Optimized runtime stacks for foundation model workloads including fine-tuning, inference serving and large-scale data engineering, with a focus on multi-stage tuning including reinforcement learning, inference-time compute, and data preparation needs for complex AI systems. Optimizing models to run on multiple accelerators including IBM’s AIU accelerator leveraging compiler optimizations, specialized kernels, libraries and tools. Developing use cases that effectively leverage the infrastructure and models to deliver value Pre-training language and multi-modal foundation models working with large scale distributed training procedures, model alignment, creating specialized pipelines for various tasks including effective LLM-generated data pipelines, creating frameworks for collecting human data and deploying models in user-centric platforms. Preferred Education Master's Degree Required Technical And Professional Expertise You should have one or more of the following: A master’s degree in computer science, AI or related fields from a top institution 0-8 years of experience working with modern ML techniques including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, inference optimizations Experience with big data platforms like Ray and Spark Experience working with Pytorch FSDP and HuggingFace libraries Programming experience in one of the following: Python, web development technologies Growth mindset and a pragmatic attitude Preferred Technical And Professional Experience Peer-reviewed research at top machine learning or systems conferences Experience working with pytorch.compile, CUDA, triton kernels, GPU scheduling, memory management Experience working with open-source communities Show more Show less