2068 Inference Jobs - Page 18

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Positions in this function are responsible for the management and manipulation of mostly structured data, with a focus on building business intelligence tools, conducting analysis to distinguish patterns and recognize trends, performing normalization operations and assuring data quality. Depending on the specific role and business line, example responsibilities in this function could include creating specifications to bring data into a common structure, creating product specifications and models, developing data solutions to support analyses, performing analysis, interpreting results, developing actionable insights and presenting recommendations for use across the company. Roles in this function could partner with stakeholders to understand data requirements and develop tools and models such as segmentation, dashboards, data visualizations, decision aids and business case analysis to support the organization. Other roles involved could include producing and managing the delivery of activity and value analytics to external stakeholders and clients. Team members will typically use business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data. Positions in this function work on predominately descriptive and regression-based analytics and tend to leverage subject matter expert views in the design of their analytics and algorithms. This function is not intended for employees performing the following work: production of standard or self-service operational reporting, casual inference led (healthcare analytics) or data pattern recognition (data science) analysis; and/or image or unstructured data analysis using sophisticated theoretical frameworks. Generally work is self-directed and not prescribed. Primary Responsibilities: Works with less structured, more complex issues Serves as a resource to others Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Experience: 5+ years experience in reporting and analytics; demonstrated experience in using automation/AI tools 5+ years experience in communications - planning, writing, delivering, as well as event management - planning and organization, facilitation of meetings (town halls, staff meetings, etc) 5+ years experience in managing small to medium projects 5+ years experience in data analysis and observation reporting Proven excellent communication skills Financial acumen Highly proficient in MS office Proven motivated, self starter, proven results generator At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Job Title: Senior Software Engineer I/II- Video Streaming Engineer Department: Technology Reports to: Software Engineering Manager Experience: 3+ years Location: Ahmedabad, India (Remote option Available) Company Introduction Genea was built on a foundation of listening to and serving our commercial real estate customer’s needs starting with our flagship Overtime HVAC product. Over the years, we’ve earned the trust and loyalty of 21 of the top 25 largest commercial real estate companies in the US and continue to prove our value to them every day. Our clients depend on us to develop value-added technology solutions to solve other pain points in their operations. We have grown our product portfolio to serve the complex and expanding needs of property teams. Genea is a family of solutions are designed to improve commercial real estate operations through cutting-edge technology. Revolutionize access control, streamline overtime HVAC, and economize submeter billing. Our host of cloud-based, automated solutions are built to cut costs, reduce admin times, and maximize the tenant experience. Experiencing enormous growth with aggressive expansion plans, Genea is expanding a Software Development and Operations center in India and is looking for dynamic engineering leaders, who can become part of this already successful growth story, and partner in creating a world class team and products. Overview Senior Software Engineer I/II focus on applying the principles of engineering to software development. The role includes analyzing and modifying existing software as well as creating new software and designing, constructing and testing end-user applications that meet user needs — all through software programming languages. Genea is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some technology’s greatest challenges and make an impact on Genea’s end users. A software engineer's approach should be customer-centric and result-driven. Software engineer needs to combine computer science principles with innovative thinking to solve daily software development tasks. Transparency and teamwork and dedication are essential qualities of a software engineer. What You'll Do Write and test product or system development code. Design and implement video streaming and video processing services necessary to support new and existing features. Design metrics that capture the streaming experience and system performance. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Maintain a pulse on emerging technologies and discover hidden opportunities in our environment. Ensure redundancy and resilience of Genea production infrastructure. What We Look For A scrappy, entrepreneurial attitude that gets high-quality projects done quickly. Expert in at least one general-purpose programming language. Node.JS, Python, Rust, or C/C++. REST API development hands on experience. Knowledge of multiple streaming protocols (RTMP, RTSP, RTP, HLS, WebRTC, DASH, etc.) and codecs (AAC, Opus, H264, H265, VP8, VP9, AV1, etc.). Highly proficient in database design, with both relational and NoSQL databases. Comfortable working with AWS, Linux, Docker, continuous deployment workflow, multiple programming languages tech stack. Strong written and verbal communication skills. Self-directed, analytical, and work well in a team environment. Passionate about the Genea product. Experience with multiple multimedia libraries and frameworks: FFmpeg, GStreamer, libvpx, x264, x265, etc. is a plus. Experience on building video pipeline with AI inference for computer vision is a plus. Competencies: Diversity - Shows respect and sensitivity for cultural differences; Educates others on the value of diversity; Promotes a harassment-free environment; Builds a diverse workforce. Ethics - Treats people with respect; Keeps commitments; Inspires the trust of others; Works with integrity and ethically; Upholds organizational values. Adaptability - Adapts to changes in the work environment; Manages competing demands; Changes approach or method to best fit the situation; Able to deal with frequent change, delays, or unexpected events. Attendance/Punctuality - Is consistently at work and on time; Ensures work responsibilities are covered when absent; Arrives at meetings and appointments on time. Design - Generates creative solutions; Translates concepts and information into images; Uses feedback to modify designs; Applies design principles; Demonstrates attention to detail. Oral Communication - Speaks clearly and persuasively in positive or negative situations; Listens and gets clarification; Responds well to questions; Demonstrates group presentation skills; Participates in meetings. Problem Solving - Identifies and resolves problems in a timely manner; Gathers and analyzes information skillfully; Develops alternative solutions; Works well in group problem solving situations; Uses reason even when dealing with emotional topics. Professionalism - Approaches others in a tactful manner; Reacts well under pressure; Treats others with respect and consideration regardless of their status or position; Accepts responsibility for own actions; Follows through on commitments. Quality - Demonstrates accuracy and thoroughness; Looks for ways to improve and promote quality; Applies feedback to improve performance; Monitors own work to ensure quality. Quantity - Meets productivity standards; Completes work in timely manner; Strives to increase productivity; Works quickly. Safety and Security - Observes safety and security procedures; Determines appropriate action beyond guidelines; Reports potentially unsafe conditions; Uses equipment and materials properly. Teamwork - Balances team and individual responsibilities; Exhibits objectivity and openness to others' views; Gives and welcomes feedback; Contributes to building a positive team spirit; Puts success of team above own interests; Able to build morale and group commitments to goals and objectives; Supports everyone's efforts to succeed. Technical Skills - Assesses own strengths and weaknesses; Pursues training and development opportunities; Strives to continuously build knowledge and skills; Shares expertise with others. Written Communication - Writes clearly and informatively; Edits work for spelling and grammar; Varies writing style to meet needs; Presents numerical data effectively; Able to read and interpret written information. Perks and benefits we offer: ✨Work Your Way: Enjoy a flexible working environment that suits your lifestyle. ✨Time Off: 24 days of PTO and 10 holidays to unwind and pursue your passions. ✨Comprehensive Leave Options: Including maternity, paternity, adoption, wedding, and bereavement leaves to support you during important life events. ✨ Health & Safety First: Benefit from family health insurance and personal accident coverage beyond your CTC. ✨Top Workplace Honors: Celebrated as a Top Workplace from 2021 to 2024. ✨Balanced Workweek: Embrace a balanced life with our 5-day work schedule

Job Description Change the world. Love your job. Texas Instruments is seeking experienced Data Scientist to join our team. As the Data Scientist in TI's Demand Analytics team, you will play a pivotal role in shaping and executing our demand planning and inventory buffer strategies for the company. You will be working side by side with a team of highly technical professionals that will consists of application developers, system architects, data scientists and data engineers. This role will be responsible for solving complex business problems through innovative solutions that deliver tangible business value. This position requires a technical leader with a strong technical background in AI/ML, simulation solutions, strategic thinking, and a passion for innovation through data.This team is responsible for:portfolio management for demand forecasting algorithms, generation of inventory buffer targets, segmentation of TI's products and simulation/validation frameworks, defining specs/reference architectures to best achieve business outcomes and ensuring security and interoperability between capabilities. Roles And Duties Stakeholder engagement: Work collaboratively and strategically with stakeholder groups to achieve TI business strategy and goals Communicate complex technical concepts and influence final business outcomes with stakeholders effectively Partner with cross-functional teams to identify and prioritize actionable, high-impact insights across a variety of core business areas Technology and platforms: Build simple, scalable and modular technology stacks using modern technologies and software engineering principles. Simulate real world scenarios with various models and approaches to determine best fit of algorithms by varying the inputs across hundreds to thousands of variables Research, experiment and implement new approaches and models that flex with the business strategy transformations Leads data acquisition and engineering efforts Develops and applies machine learning, AI and data engineering framework Solutions, writes and debugs code for complex development projects Oversees, evaluates and determines the best modeling techniques for various scenarios letting the data drive the conversation Qualifications Minimum requirements: MS or PhD in a quantitative field (e.g., Computer Science, Statistics, Engineering, Mathematics) or equivalent practical experience. 8+ years of professional experience in data science or a related role. 5+ years of hands-on experience developing and deploying time series forecasting models in a professional setting. Demonstrated experience in the supply chain domain (e.g., Semiconductor, Retail, CPG, Pharmaceutical), with a deep understanding of concepts like demand forecasting, S&OP, or inventory management. Expert-level proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, Statsmodels) and forecasting packages (e.g., Prophet, PyTorch Forecasting). Proven experience taking machine learning models from prototype to production, including knowledge of CI/CD and model monitoring. Preferred Qualifications Experience with MLOps tools and platforms (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes). Practical experience with cloud data science platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform). Familiarity with advanced forecasting techniques such as probabilistic forecasting, causal inference, or using Transformers for time series. Experience applying NLP to extract features from unstructured text to enhance forecasting models. Strong SQL skills and experience working with large-scale data warehousing solutions (e.g., Snowflake, BigQuery, Redshift). About Us Why TI? Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics. We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. About Texas Instruments Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com . Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. If you are interested in this position, please apply to this requisition. About The Team TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary JD for Cloud Machine Learning LLM Serving engineer Job Overview The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily so good communication, planning and execution skills are a must. Key Responsibilities Improve and optimize key Deep Learning models on Qualcomm AI 100. Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories. Implement Kernels for AI workloads Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning. Build software tools and ecosystem around AI SW Stack. Work on vLLM, Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator. Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems. Optimize the entire deep learning pipeline including graph compiler integration. Apply knowledge of software engineering best practices. Desirable Skills And Aptitudes Deep Learning experience or knowledge – LLMs, Natural Language Processing, Vision, Audio, Recommendation systems. Knowledge of the structure and function of different components of Pytorch, TensorFlow software stacks. Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design. Ability to work independently, define requirements and scope, and lead your own development effort. Well versed with open-source development practices. Strong developer with a research mindset – strives to innovate. Avid problem solver – should be able to find solutions to key engineering and domain problems. Knowledge of tiling and scheduling a Machine learning operator is a plus. Experience in using C++ 14 (advanced features) Experience of profiling software and optimization techniques Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus. Experience of ML compiler, Auto-code generation (using MLIR) is a plus. Experiences to run workloads on large scale heterogeneous clusters is a plus. Hands-on experience with CUDA, CUDNN is a plus. Qualifications Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field. 2+ years Software Engineering or related work experience. 2+ years’ experience with Programming Language such as C++, Python. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3075070

Role- Senior Business Data Analyst Location- Mumbai About the Role- The position requires working closely with Senior Leadership team to achieve business objectives of setting up multiple lines of businesses. The candidate will be required to multi-task; help create feasibility reports & execute new projects. Should possess an eye for details, be able to perform under stringent deadlines and be able to aggregate and interpret data. The profile provides exposure to diverse challenges facing the senior management. The ideal candidate should have an ability in business acumen ship, data crunching, data analysis, data representation and can provide logical inference from the data. What you'll be Responsible for? Monitor tasks delegated by Senior Leadership team & ensure that the task is achieved to agreed deadlines Assist & coordinate the strategy planning exercise Coordinating Cross Functional teams to ensure sales deliverables External & Internal interface on behalf of Head– Business Strategy Helping in business presentations & tie up with internal & external stakeholders. Business data analysis Assist the Business Strategy head with inputs and data required for making strategic decisions What You'd have? Engineer plus MBA/ CA degree with 5-6 years of work experience in data crunching, data analysis, data representation, budgeting Ability to communicate effectively and collaborate with various stakeholders Excellent communication skills – verbal and written Ability to manage multiple concurrent tasks at the same time where priorities can frequently change and drive initiatives in a cross functional environment Comfortable and flexible working in a fast-paced environment Detail oriented and comfortable working with large data sets Proficiency with MS Office, especially Advance Excel and PowerPoint Attention to detail

🧠 Job Title: Senior Java Backend Developer – AI & Big Data | Onsite – Navi Mumbai 🏢 Company: SMARTe – Building the Next-Gen AI-Powered Data Search Platform 🌐 www.smarte.pro 📍 Location: Onsite – Navi Mumbai (Candidates from Mumbai & Maharashtra encouraged to apply) 🧩 About Us: At SMARTe , we’re redefining how businesses discover data — at scale and with intelligence. Our proprietary AI-powered data search engine processes over 400 million records , enabling ultra-fast and intelligent data discovery across global markets. We work at the intersection of AI, big data, and real-time systems , pushing boundaries in natural language understanding and intelligent automation. 💼 Role Overview: We’re looking for a Senior Java Backend Developer who thrives in high-performance environments and is excited by the opportunity to work on AI-first products and complex data engineering problems. This is a hands-on development role where you’ll build scalable, secure, and high-performing backend systems powering our flagship data platform and public APIs. 🛠️ What You’ll Work On: Design and develop robust backend systems using Java 8/11/17 , Spring Boot, and REST APIs Integrate with and leverage AI models (e.g. Llama , Langsmith) for NLP-based features Use GitHub Copilot and ChatGPT to accelerate development and automate tasks Optimize AI inference using Groq hardware for low-latency performance Build intelligent workflows using AI pipeline tools Work on complex SQL and PL/SQL logic for large-scale datasets Containerization using Docker , Kubernetes , and GCP ✅ Must-Have Skills: 3.8 –7 years of backend development experience in Java Expertise in Spring Boot , RESTful APIs Strong knowledge of Advanced SQL and PL/SQL Familiarity with AI tools and environments Experience with Git , Docker , K8s , cloud (GCP preferred) 🌟 Bonus if You Have: Worked with AI/ML models or LLMs (Llama, GPT, etc.) Hands-on with Langsmith, Groq chips, or AI DevOps workflows A strong interest in AI-assisted development tools 📌 Why Join SMARTe? Work on innovative AI-led software products Be part of a tech-first culture with a global impact Solve real-world data problems at scale Collaborative, startup-style environment 📧 How to Apply: Send your resume to shraddha.ambekar@smarte.pro or apply directly here on LinkedIn. 💬 Know someone perfect for this role? Feel free to share this with your network!

About Us: TrueFan is at the forefront of AI-driven content generation, leveraging cutting-edge generative models to build next-generation products. Our mission is to redefine content generation space through advanced AI technologies, including deep generative models, text-to-video and image-to-video and lipsync generation. We are looking for a Senior Machine Learning Engineer with deep expertise in generative AI, including diffusion models, 3D VAEs and GANs to drive our research and development in AI-generated content and real-time media synthesis . Job Description: As a Senior Machine Learning Engineer , you will be responsible for designing, developing, and deploying cutting-edge models for end-to-end content generation , including AI-driven image/video generation, lipsyncing, and multimodal AI systems . You will work on the latest advancements in deep generative modeling to create highly realistic and controllable AI-generated media. Responsibilities: Research & Develop : Design and implement state-of-the-art generative models , including Diffusion Models, 3D VAEs and GANs for AI-powered media synthesis . End-to-End Content Generation : Build and optimize AI pipelines for high-fidelity image/video generation and lipsyncing using diffusion and autoencoder models. Speech & Video Synchronization : Develop advanced lipsyncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. Real-Time AI Systems : Implement and optimize models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques . Scaling & Production Deployment : Work closely with software engineers to deploy models efficiently on cloud-based architectures (AWS, GCP, or Azure) . Collaboration & Research : Stay ahead of the latest trends in deep generative models, diffusion models, and transformer-based vision systems to enhance AI-generated content quality. Experimentation & Validation : Design and conduct experiments to evaluate model performance, improve fidelity, realism, and computational efficiency , and refine model architectures. Code Quality & Best Practices : Participate in code reviews, improve model efficiency, and document research findings to enhance team knowledge-sharing and product development . Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, or a related field. 3+ years of experience working with deep generative models , including Diffusion Models, 3D VAEs, GANs and autoregressive models . Strong proficiency in Python and deep learning frameworks such as PyTorch. Expertise in multi-modal AI, text-to-image, and image-to-video generation , audio to lipsync Strong understanding of machine learning principles and statistical methods. Good to have experience in real-time inference optimization, cloud deployment, and distributed training . Strong problem-solving abilities and a research-oriented mindset to stay updated with the latest AI advancements. Familiarity with generative adversarial techniques, reinforcement learning for generative models, and large-scale AI model training . Preferred Qualifications: Experience with transformers and vision-language models (e.g., CLIP, BLIP, GPT-4V). Background in text-to-video generation, lipsync generation and real-time synthetic media applications . Experience in cloud-based AI pipelines (AWS, Google Cloud, or Azure) and model compression techniques (quantization, pruning, distillation) . Contributions to open-source projects or published research in AI-generated content, speech synthesis, or video synthesis . How to Apply: Interested candidates should submit their resume and a cover letter detailing their experience with generative models and their contributions to relevant projects at meghna.sidda@true-fan.in

About Motadata Motadata is a renowned IT monitoring and management software company that has been transforming how businesses manage their ITOps since its inception. Our vision is to revolutionize the way organizations extract valuable insights from their IT networks. Bootstrapped since inception, Motadata has built up a formidable product suite comprising cutting-edge solutions, empowering enterprises to make informed decisions and optimize their IT infrastructure. As a market leader, we take pride in our ability to collect and analyze data from various sources, in any format, providing a unified view of IT monitoring data. Position Overview: We are seeking a Senior Machine Learning Engineer to join our team, focused on enhancing our AIOps and IT Service Management (ITSM) product through the integration of cutting-edge AI/ML features and functionality. As part of our innovative approach to revolutionizing the IT industry, you will play a pivotal role in leveraging data analysis techniques and advanced machine learning algorithms to drive meaningful insights and optimize our product's performance. With a particular emphasis on end-to-end machine learning lifecycle management and MLOps, you will collaborate with cross-functional teams to develop, deploy, and continuously improve AI-driven solutions tailored to our customers' needs. From semantic search and AI chatbots to root cause analysis based on metrics, logs, and traces, you will have the opportunity to tackle diverse challenges and shape the future of intelligent IT operations. Role & Responsibility: • Lead the end-to-end machine learning lifecycle, understand the business problem statement, convert into ML problem statement, data acquisition, exploration, feature engineering, model selection, training, evaluation, deployment, and monitoring (MLOps). • Should be able to lead the team of ML Engineers to solve the business problem and get it implemented in the product, QA validated and improvise based on the feedback from the customer. • Collaborate with product managers to understand business needs and translate them into technical requirements for AI/ML solutions. • Design, develop, and implement machine learning algorithms and models, including but not limited to statistics, regression, classification, clustering, and transformer-based architectures. • Preprocess and analyze large datasets to extract meaningful insights and prepare data for model training. • Build and optimize machine learning pipelines for model training and inference using relevant frameworks. • Fine-tune existing models and/or train custom models to address specific use cases. • Enhance the accuracy and performance of existing AI/ML models through monitoring, iterative refinement and optimization techniques. Collaborate closely with cross-functional teams to integrate AI/ML features seamlessly into our product, ensuring scalability, reliability, and maintainability. • Document your work clearly and concisely for future reference and knowledge sharing within the team. • Stay ahead of latest developments in machine learning research and technology and evaluate their potential applicability to our product roadmap. Skills and Qualifications: • Bachelor's or higher degree in Computer Science, Engineering, Mathematics, or related field. • Minimum 5+ years of experience as a Machine Learning Engineer or similar role. • Proficiency in data analysis techniques and tools to derive actionable insights from complex datasets. • Solid understanding and practical experience with machine learning algorithms and techniques, including statistics, regression, classification, clustering, and transformer-based models. • Hands-on experience with end-to-end machine learning lifecycle management and MLOps practices. • Proficiency in programming languages such as Python and familiarity with at least one of the following: Java,Golang, .NET, Rust. • Experience with machine learning frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn) and MLOps tools (e.g., MLflow, Kubeflow). • Experience with ML.NET and other machine learning frameworks. • Familiarity with natural language processing (NLP) techniques and tools. • Excellent communication and teamwork skills, with the ability to effectively convey complex technical concepts to diverse audiences. • Proven track record of delivering high-quality, scalable machine learning solutions in a production environment.

About the Company: We are one of India’s premier integrated political consulting Firms specializing in building data driven 360-degree election campaigns. We help our clients with strategic advice and implementation which brings together data-backed insights and in-depth ground intelligence into a holistic electoral campaign. We are passionate about our democracy and the politics that shape the world around us. We draw on some of the sharpest minds from distinguished institutions and diverse professional backgrounds to help us achieve our goal. The team brings in 7 years of experience in building electoral strategies that spark conversations, effect change, and help shape electoral and legislative ecosystems in our country. Job Summary: We are seeking a detail-oriented and methodical Statistical Analyst/ Statistician to join our analytics team. The ideal candidate will be responsible for collecting, analyzing, and interpreting quantitative data to support strategic decision-making. This role involves developing statistical models, running simulations, and producing reports and visualizations to uncover insights and guide organizational priorities. The role also requires the candidate to be able to report and publish insights from data from time to time. Key Responsibilities: ● Collect, clean, and prepare large datasets from multiple sources for analysis. ● Apply statistical methods and models (e.g., regression, hypothesis testing, inference building, panel, categorical, multilevel models) to analyze trends, patterns and forecast ● Interpret and communicate complex data findings and forecasts to non-technical stakeholders. ● Build and maintain dashboards, forecasts, and ad hoc reports. ● Support survey design and evaluation (sampling, weighting, post-stratification if applicable). ● Collaborate with data engineers, subject matter experts, and decision-makers to define analysis goals. ● Ensure the accuracy, integrity, and privacy of all data processed. Required/Minimum Qualifications: ● Bachelor’s or Master’s degree in Statistics, Mathematics, Data Science, Economics(Econometrics), or a related quantitative field. ● Strong proficiency is a must in Microsoft Excel, Word as well as G-Suites ● Strong proficiency in any statistical software(R/SPSS is preferred) ● Solid understanding of statistical concepts, statistical modelling, including, but not limited to linear and logistic regression, ANOVA, Time-Series Modelling, and Bayesian methods. ● Experience working with large datasets and relational databases(graduate or undergraduate experience will also be considered). ● Excellent analytical, problem-solving, and organizational skills. ● Strong communication skills, especially in interpreting data for non-technical audiences. Preferred Qualications: ● Must have demonstrated ability to manage large data-sets simultaneously with a purpose of building hypotheses and inference testing. ● Proven academic excellence/research experience in quantitative fields such as econometrics, financial , mathematics, bayesian statistics etc. ● Model building experience in Python, R will be an advantage. ● Experience with query writing and data automation related tasks (SQL, VBA etc) is a plus. ● Ability to independently work on multiple projects and/or manage key requirements of internal stakeholders. ● Prior experience/Postgraduate experience in publishing academic research is a plus. Location: BLR - 4th Floor, VK Kalyani Commercial Complex, Opp to BDA Sanky Road, Bangalore,560021

:-Job Title: Machine Learning Engineer – 2 Location: Onsite – Bengaluru, Karnataka, India Experience Required: 3 – 6 Years Compensation: ₹20 – ₹25 LPA Employment Type: Full-Time Work Mode: Onsite Only (No Remote) About the Company:- A fast-growing Y Combinator-backed SaaS startup is revolutionizing underwriting in the insurance space through AI and Generative AI. Their platform empowers insurance carriers in the U.S. to make faster, more accurate decisions by automating key processes and enhancing risk assessment. As they expand their AI capabilities, they’re seeking a Machine Learning Engineer – 2 to build scalable ML solutions using NLP, Computer Vision, and LLM technologies. Role Overview:- As a Machine Learning Engineer – 2, you'll take ownership of designing, developing, and deploying ML systems that power critical features across the platform. You'll lead end-to-end ML workflows, working with cross-functional teams to deliver real-world AI solutions that directly impact business outcomes. Key Responsibilities:- Design and develop robust AI product features aligned with user and business needs Maintain and enhance existing ML/AI systems Build and manage ML pipelines for training, deployment, monitoring, and experimentation Deploy scalable inference APIs and conduct A/B testing Optimize GPU architectures and fine-tune transformer/LLM models Build and deploy LLM applications tailored to real-world use cases Implement DevOps/ML Ops best practices with tools like Docker and Kubernetes Tech Stack & Tools Machine Learning & LLMs GPT, LLaMA, Gemini, Claude, Hugging Face Transformers PyTorch, TensorFlow, Scikit-learn LLMOps & MLOps Langchain, LangGraph, LangFlow, Langfuse MLFlow, SageMaker, LlamaIndex, AWS Bedrock, Azure AI Cloud & Infrastructure AWS, Azure Kubernetes, Docker Databases MongoDB, PostgreSQL, Pinecone, ChromaDB Languages Python, SQL, JavaScript What You’ll Do Collaborate with product, research, and engineering teams to build scalable AI solutions Implement advanced NLP and Generative AI models (e.g., RAG, Transformers) Monitor and optimize model performance and deployment pipelines Build efficient, scalable data and feature pipelines Stay updated on industry trends and contribute to internal innovation Present key insights and ML solutions to technical and business stakeholders Requirements Must-Have:- 3–6 years of experience in Machine Learning and software/data engineering Master’s degree (or equivalent) in ML, AI, or related technical fields Strong hands-on experience with Python, PyTorch/TensorFlow, and Scikit-learn Familiarity with ML Ops, model deployment, and production pipelines Experience working with LLMs and modern NLP techniques Ability to work collaboratively in a fast-paced, product-driven environment Strong problem-solving and communication skills Bonus Certifications such as: AWS Machine Learning Specialty AWS Solution Architect – Professional Azure Solutions Architect Expert Why Apply Work directly with a high-caliber founding team Help shape the future of AI in the insurance space Gain ownership and visibility in a product-focused engineering role Opportunity to innovate with state-of-the-art AI/LLM tech Be part of a fast-moving team with real market traction 📍 Note: This is an onsite-only role based in Bengaluru. Remote work is not available. Skills: ml ops,software/data engineering,tensorflow,mongodb,llms,docker,machine learning,nlp,computer vision,python,azure,kubernetes,llms and modern nlp techniques,ml, ai,sql,llm technologies,python, pytorch/tensorflow, and scikit-learn,scikit-learn,postgresql,javascript,aws,pytorch

Position - Algorithm / Library Developer Experience - 4+ years Location - Gurgaon (5 Days WFO) If you are interested kindly fill out the form: https://forms.gle/3PxT1tBitCJcbT2i7 About Company: It is a high-impact energy-tech product company enabling utilities to detect, predict, and heal distribution-level grid faults in real time—enhancing reliability, reducing losses, and modernizing power infrastructure using cutting-edge AI-IoT technology. It aims to revolutionizing electricity distribution by transforming traditional grids into smart, connected, and predictive networks . Role Overview : We are seeking an experienced and driven AI/ML Library Developer to spearhead the design, development, and maintenance of cutting-edge libraries in the Artificial Intelligence and Machine Learning space. You will play a key role in building new libraries, updating existing ones, integrating them into production systems, and mentoring junior developers in the team. Key Responsibilities: Design and develop new AI/ML libraries in Python , C/C++ to support scalable, high-performance machine learning workflows. Enhance and maintain existing libraries , ensuring they meet evolving requirements and deliver robust performance. Integrate developed libraries seamlessly with broader application architectures and pipelines. Provide technical mentorship to junior developers, conducting code reviews, pair programming, and knowledge-sharing sessions. Collaborate closely with data scientists, research engineers, and product teams to translate requirements into efficient, well-architected solutions. Develop clear, maintainable documentation for all components, APIs, and workflows. Proactively identify opportunities to improve performance, reliability, and maintainability across the codebase. Required Skills & Qualifications: 3+ years of hands-on experience in C/C++ development, ideally in systems, libraries, or performance-critical components. Strong understanding of AI/ML concepts , algorithms, and deployment workflows (e.g., model training, inference, optimization). Demonstrated experience in developing and maintaining libraries that are consumed by other applications or teams. Proficiency in integrating C/C++ libraries with higher-level languages (e.g., Python, Java) is a plus. Experience in mentoring junior engineers , conducting code reviews, and contributing to best practices. Familiarity with cross-platform development, build systems (CMake, Make), and version control (Git). Excellent problem-solving skills, with a passion for clean, efficient, and well-documented code. Nice to Have: Exposure to CUDA, OpenCL, or other GPU programming frameworks. Experience with modern AI/ML frameworks (TensorFlow, PyTorch, ONNX) and their C/C++ APIs. Knowledge of performance profiling tools and techniques for optimization.

Job Title: Senior Software Engineer I/II- Video Streaming Engineer Department: Technology Reports to: Software Engineering Manager Experience: 3+ years Location: Ahmedabad, India (Remote option Available) Company Introduction Genea was built on a foundation of listening to and serving our commercial real estate customer’s needs starting with our flagship Overtime HVAC product. Over the years, we’ve earned the trust and loyalty of 21 of the top 25 largest commercial real estate companies in the US and continue to prove our value to them every day. Our clients depend on us to develop value-added technology solutions to solve other pain points in their operations. We have grown our product portfolio to serve the complex and expanding needs of property teams. Genea is a family of solutions are designed to improve commercial real estate operations through cutting-edge technology. Revolutionize access control, streamline overtime HVAC, and economize submeter billing. Our host of cloud-based, automated solutions are built to cut costs, reduce admin times, and maximize the tenant experience. Experiencing enormous growth with aggressive expansion plans, Genea is expanding a Software Development and Operations center in India and is looking for dynamic engineering leaders, who can become part of this already successful growth story, and partner in creating a world class team and products. Overview Senior Software Engineer I/II focus on applying the principles of engineering to software development. The role includes analyzing and modifying existing software as well as creating new software and designing, constructing and testing end-user applications that meet user needs — all through software programming languages. Genea is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some technology’s greatest challenges and make an impact on Genea’s end users. A software engineer's approach should be customer-centric and result-driven. Software engineer needs to combine computer science principles with innovative thinking to solve daily software development tasks. Transparency and teamwork and dedication are essential qualities of a software engineer. What You'll Do Write and test product or system development code. Design and implement video streaming and video processing services necessary to support new and existing features. Design metrics that capture the streaming experience and system performance. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Maintain a pulse on emerging technologies and discover hidden opportunities in our environment. Ensure redundancy and resilience of Genea production infrastructure. What We Look For A scrappy, entrepreneurial attitude that gets high-quality projects done quickly. Expert in at least one general-purpose programming language. Node.JS, Python, Rust, or C/C++. REST API development hands on experience. Knowledge of multiple streaming protocols (RTMP, RTSP, RTP, HLS, WebRTC, DASH, etc.) and codecs (AAC, Opus, H264, H265, VP8, VP9, AV1, etc.). Highly proficient in database design, with both relational and NoSQL databases. Comfortable working with AWS, Linux, Docker, continuous deployment workflow, multiple programming languages tech stack. Strong written and verbal communication skills. Self-directed, analytical, and work well in a team environment. Passionate about the Genea product. Experience with multiple multimedia libraries and frameworks: FFmpeg, GStreamer, libvpx, x264, x265, etc. is a plus. Experience on building video pipeline with AI inference for computer vision is a plus. Competencies Diversity - Shows respect and sensitivity for cultural differences; Educates others on the value of diversity; Promotes a harassment-free environment; Builds a diverse workforce. Ethics - Treats people with respect; Keeps commitments; Inspires the trust of others; Works with integrity and ethically; Upholds organizational values. Adaptability - Adapts to changes in the work environment; Manages competing demands; Changes approach or method to best fit the situation; Able to deal with frequent change, delays, or unexpected events. Attendance/Punctuality - Is consistently at work and on time; Ensures work responsibilities are covered when absent; Arrives at meetings and appointments on time. Design - Generates creative solutions; Translates concepts and information into images; Uses feedback to modify designs; Applies design principles; Demonstrates attention to detail. Oral Communication - Speaks clearly and persuasively in positive or negative situations; Listens and gets clarification; Responds well to questions; Demonstrates group presentation skills; Participates in meetings. Problem Solving - Identifies and resolves problems in a timely manner; Gathers and analyzes information skillfully; Develops alternative solutions; Works well in group problem solving situations; Uses reason even when dealing with emotional topics. Professionalism - Approaches others in a tactful manner; Reacts well under pressure; Treats others with respect and consideration regardless of their status or position; Accepts responsibility for own actions; Follows through on commitments. Quality - Demonstrates accuracy and thoroughness; Looks for ways to improve and promote quality; Applies feedback to improve performance; Monitors own work to ensure quality. Quantity - Meets productivity standards; Completes work in timely manner; Strives to increase productivity; Works quickly. Safety and Security - Observes safety and security procedures; Determines appropriate action beyond guidelines; Reports potentially unsafe conditions; Uses equipment and materials properly. Teamwork - Balances team and individual responsibilities; Exhibits objectivity and openness to others' views; Gives and welcomes feedback; Contributes to building a positive team spirit; Puts success of team above own interests; Able to build morale and group commitments to goals and objectives; Supports everyone's efforts to succeed. Technical Skills - Assesses own strengths and weaknesses; Pursues training and development opportunities; Strives to continuously build knowledge and skills; Shares expertise with others. Written Communication - Writes clearly and informatively; Edits work for spelling and grammar; Varies writing style to meet needs; Presents numerical data effectively; Able to read and interpret written information. Perks And Benefits We Offer ✨Work Your Way: Enjoy a flexible working environment that suits your lifestyle. ✨Time Off: 24 days of PTO and 10 holidays to unwind and pursue your passions. ✨Comprehensive Leave Options: Including maternity, paternity, adoption, wedding, and bereavement leaves to support you during important life events. ✨ Health & Safety First: Benefit from family health insurance and personal accident coverage beyond your CTC. ✨Top Workplace Honors: Celebrated as a Top Workplace from 2021 to 2024. ✨Balanced Workweek: Embrace a balanced life with our 5-day work schedule

MakeMyTrip-GoIbibo data science group is looking for a seasoned data science professional, who can build next-gen travel fintech systems powered via personalized product recommendations/persuasions, real-time pricing and causal algorithms. Responsibilities: Train and deploy best in class deep learning models for ranking, pricing, recommendation, representation learning, FinTech products. Work with stakeholders at various stages of project, lead project development from inception to completion. Be a SQL python ninja, understand data thoroughly, build smart AI/ML systems. Opportunity to work with large click stream e-commerce data sets, at MakeMyTrip and GoIbibo, i. e., in rapidly growing travel space. Build and own robust data science APIs meeting 99% SLA at very high RPS. Also ensure training/inference MLOps rigour. Show business impact while having opportunity to build best in class AI/ML models. Requirements: Bachelor's degree in mathematics, Statistics, related technical field, or equivalent practical experience. A minimum of 8 years of experience (or minimum of 5 years with a Ph. D.) in one or more of the following: ML Modeling, Ranking, Recommendations, or Personalization systems. Knowledge of advanced ML techniques such as Classification, Prediction, Recommender Systems, Dynamic Pricing, Choice modelling, Anomaly Detection Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods. Experience of deploying models into production is preferred Experience with applying machine learning techniques to big data systems (e. g., Spark) with TB to PB scale datasets. Experience with data querying languages (e. g., SQL), scripting languages (e. g., Python), and/or statistical/mathematical software. Strong research record demonstrated through publications. Experience with design and analysis of experiments. Experience with large-scale A/B testing systems, especially in the domain of online advertising or online commerce.

Location Gurugram, Haryana, India Category Corporate Job Id GGN00002038 Tech Ops / Maintenance - Management & Administrative Job Type Full-Time Posted Date 07/16/2025 Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description At United, we have some of the best aircraft in the world. Our Technical Operations team is full of aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams that help make sure they’re well taken care of and ready to get our customers to their desired destinations. If you’re ready to work on our planes, join our Tech Ops experts and help keep our fleet in tip-top shape. Job overview and responsibilities The Manager (Mgr) – Engine Maintenance (Mx) Planning & Analytics leads a team responsible for data-driven engine maintenance planning and material forecasting. This role oversees the development of analytical tools, dashboards, and forecasting models to support strategic decision-making for all engine and APU programs. In addition, to driving data analytics, the Mgr collaborates with Global Procurement, Inventory Planning, and Finance to optimize material planning and ensure the timely availability of critical engine components. The Mgr is also responsible for continuously improving forecasting accuracy and operational efficiency to support long-term maintenance planning. Design, create, manage dashboards regarding engine removals, spare engine availability, shop turn time, engine strip time, engine build time, and other related information Lead the methodology of an engine parts forecast model for short-term (6 to 18 months) and long-term (> 18 months) use cases that is applicable to multiple fleets and difference specifications Lead project management of the engine procurement cycle by reporting on current and future engine part inventory Manage direct reports and provide professional development to the team Create and deliver engine maintenance reports that will be presented to leadership Perform ad-hoc data analysis and modeling of engine programs to support end users such as Network planning, Fleet, Global Procurement, Finance, and EMM Develop and coordinate solutions to automate, collect/store, and audit data for accuracy This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Qualifications What’s needed to succeed (Minimum Qualifications): Bachelor's degree in Engineering, Supply Chain, Business, Science, Mathematics, Finance, Statistics 3+ years’ experience in the aviation and/or aerospace industry 2+ years’ of experience in an analytics and/or quantitative role with demonstrated experience building and maintaining complex analytical models 6+ years’ of engineering / business / supply chain work experience Ability to review data, formulate a model, draw conclusions, and use data-based analysis to inform others Demonstrated ability to lead a team Strong organizational and continuous improvement skills Demonstrated ability to understand technical information Ability to effectively communicate both verbally and in-writing to technical and non-technical audiences Ability to manage complex workload to effectively accomplish assignments with limited supervision Skilled in computer programming languages such as (but not limited to) Python, Ppyspark, Jjava Sscript, HTML, SQL, R, and/or VBA Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): Master's degree MBA, MS Engineering, MS Data Analytics Project management experience by leading teams through indirect influence Experience managing a team Experience using statistical analysis tools for forecasting parts or events Process improvement experience 3+ years’ experience in aircraft or engine maintenance management Strong aviation and/or engine business acumen Detailed understanding of jet engine components Knowledge of engine maintenance planning/overhaul events Proficiency in Palantir/Foundry Analytics using structured and unstructured data, including statistical inference, parametric and non-parametric predictive models, machine learning, natural language processing

Location Gurugram, Haryana, India Category Corporate Job Id GGN00002039 Tech Ops / Maintenance - Management & Administrative Job Type Full-Time Posted Date 07/16/2025 Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description At United, we have some of the best aircraft in the world. Our Technical Operations team is full of aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams that help make sure they’re well taken care of and ready to get our customers to their desired destinations. If you’re ready to work on our planes, join our Tech Ops experts and help keep our fleet in tip-top shape. Job overview and responsibilities The Sr. Analyst – Engine Maintenance (Mx) Planning conducts data analysis and program modeling for all engine and APU types, supporting strategic decision-making across TechOps. This role develops forecast models, builds dashboards, and creates business tools to enhance operational efficiency and long-term maintenance planning. In collaboration with the Engine Mx Management (EMM) team, San Francisco Engine Mx Center, and other stakeholders, the Sr. Analyst ensures data accuracy by validating sources and refining methodologies. Additional responsibilities may include partnering with Inventory Planning and Global Procurement to optimize engine parts inventory and procurement strategies. Develop, implement, and maintain agile long-term engine/APU forecasts Provide project management by tracking, analyzing, and reporting on current and/or future engine/APU part inventory Performs ad-hoc data analysis and modeling of engine programs to support end users across the organization Identify opportunities to automate data collection, monitoring, and other workflows, and create necessary solutions Audit and review data for accuracy and implement corrections as appropriate Prepare reports for stakeholder updates This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. Qualifications What’s needed to succeed (Minimum Qualifications): Bachelor's degree in Engineering, Supply Chain, Business, Science, Mathematics, Statistics, or Finance 4+ years’ experience in data analysis, project experience Experience building forecasts and doing analysis Proficiency in performing complex analyses or models Skilled in computer programming languages and database systems such as (but not limited to) Python, pyspark, Java Script, SQL, HTML, R, and/or VBA Ability to effectively communicate both verbally and in writing, tailoring delivery to technical and non-technical audiences Strong organizational and continuous improvement skills Ability to manage complex workload to effectively accomplish assignments and projects with limited supervision Proficiency in Microsoft Office Suite including Word, PowerPoint, and Excel Effectively manage projects with multiple stakeholders Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English and Hindi (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): Master's degree MBA, MS Engineering, MS Data Analytics Experience in aircraft engine maintenance Process improvement experience Experience using statistical analysis tools for forecasting Strong aviation business acumen Detailed understanding of jet engine maintenance and components Proficiency in Palantir/Foundry Analytics using structured and unstructured data, including statistical inference, parametric and non-parametric predictive models, machine learning, natural language processing

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. Those in Guidewire testing at PwC will specialise in testing and quality assurance activities related to Guidewire applications. Guidewire is a software suite that provides insurance companies with tools for policy administration, claims management, and billing. You will be responsible for confirming that the Guidewire applications meet the desired quality standards and perform as expected. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills. Skill - GW Testing - Senior Associate Total Experience – 5 - 9 years Edu Qualification: BTech/BE/MTech/MS/MCA Job Description - Reviewing requirements / specifications / technical design documents Designing detailed, comprehensive and well-structured Test Plans and Test Cases Setting up Test Environment & Test Data Executing tests as needed throughout the project. Analyzing and reporting test results. Identifying and tracking defects through their lifecycle. Understanding of Integration - Technical Design Document and Use Case Testing experience of any one of the Guidewire products: PolicyCenter / Guidewire Rating Experience on policy transactions, workflow ,Audits, forms inference Performing thorough testing [Smoke / System / Integration / Regression / Stabilization Possessing expertise in Test Management Tools like ALM / Jira

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. In quality engineering at PwC, you will focus on implementing leading practice standards of quality in software development and testing processes. In this field, you will use your experience to identify and resolve defects, optimise performance, and enhance user experience. The Opportunity When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills. As part of the AI Engineering team you will design, develop, and scale AI-driven web applications and platforms. As a Senior Associate you will analyze complex problems, mentor others, and maintain rigorous standards while building meaningful client connections and navigating increasingly complex situations. This role is well-suited for engineers eager to blend their entire stack development skills with the emerging world of AI and machine learning in a fast-paced, cross-functional environment. Responsibilities Design and implement AI-driven web applications and platforms Analyze complex challenges and develop impactful solutions Mentor junior team members and foster their professional growth Maintain exemplary standards of quality in every deliverable Build and nurture meaningful relationships with clients Navigate intricate situations and adapt to evolving requirements Collaborate in a fast-paced, cross-functional team environment Leverage broad stack development skills in AI and machine learning projects What You Must Have Bachelor's Degree in Computer Science, Software Engineering, or a related field 4-9 years of experience Oral and written proficiency in English required What Sets You Apart Bachelor's Degree in Computer Science, Engineering Skilled in modern frontend frameworks like React or Angular Demonstrating hands-on experience with GenAI applications Familiarity with LLM orchestration tools Understanding of Responsible AI practices Experience with DevOps tools like Terraform and Kubernetes Knowledge of MLOps capabilities Security experience with OpenID Connect and OAuth2 Experience in AI/ML R&D or cross-functional teams Preferred Knowledge/Skills Role Overview We are looking for a skilled and proactive Full Stack Engineer to join our AI Engineering team. You will play a pivotal role in designing, developing, and scaling AI-driven web applications and platforms. This role is ideal for engineers who are passionate about blending full stack development skills with the emerging world of AI and machine learning, and who thrive in cross-functional, fast-paced environments. Key Responsibilities Develop and maintain scalable web applications and APIs using Python (FastAPI, Flask, Django) and modern frontend frameworks (React.js, Angular.js). Build intuitive, responsive UIs using JavaScript/TypeScript, CSS3, Bootstrap, and Material UI for AI-powered products. Collaborate closely with product teams to deliver GenAI/RAG-based solutions. Design backend services for: Data pipelines (Azure Data Factory, Data Lake, Delta Lake) Model inference Embedding and metadata storage (SQL, NoSQL, Vector DBs) Optimize application performance for AI inference and data-intensive workloads. Integrate third-party APIs, model-hosting platforms (OpenAI, Azure ML, AWS SageMaker), and vector databases. Implement robust CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins. Participate in architectural reviews and contribute to design best practices across the engineering organization. Required Skills & Experience 4–9 years of professional full-stack engineering experience. Bachelor's degree in Computer Science, Engineering, or related technical field (BE/BTech/MCA) Strong Python development skills, particularly with FastAPI, Flask, or Django. Experience with data processing using Pandas. Proficient in JavaScript/TypeScript with at least one modern frontend framework (React, Angular). Solid understanding of RESTful and GraphQL API design. Experience with at least one cloud platform: Azure: Functions, App Service, AI Search, Service Bus, AI Foundry AWS: Lambda, S3, SageMaker, EC2 Hands-on experience building GenAI applications using RAG and agent frameworks. Database proficiency with: Relational databases: PostgreSQL, SQL Server NoSQL databases: MongoDB, DynamoDB Vector stores for embedding retrieval Familiarity with LLM orchestration tools: LangChain, AutoGen, LangGraph, Crew AI, A2A, MCP Understanding of Responsible AI practices and working knowledge of LLM providers (OpenAI, Anthropic, Google PaLM, AWS Bedrock) Good To Have Skills DevOps & Infrastructure: Terraform, Kubernetes, Docker, Jenkins MLOps capabilities: model versioning, inference monitoring, automated retraining Security experience with OpenID Connect, OAuth2, JWT Deep experience with data platforms: Databricks, Microsoft Fabric Prior experience in AI/ML R&D or working within cross-functional product teams

Junior AI Engineer/Intern (Position 1) Position Overview: Support the AI development team in building innovative solutions for nonprofit efficiency. Focus on frontend development, user experience, and rapid prototyping using modern AI tools. Key Responsibilities Development Support Deliver measurable PoC components with daily progress commits Provide user testing feedback implementation with documented changes Support UI/UX testing with detailed testing reports and iteration recommendations Ensure deployment readiness with comprehensive documentation and handoff materials Technology Focus Work with AI-powered development tools (Replit, Windsurf, Cursor) for rapid application prototyping Support iterative development workflow: AI-assisted coding ? manual refinement ? user feedback integration Assist with deployment processes on organizational servers Contribute to open-source component development Learning & Growth Areas AI application development fundamentals User experience design for AI-powered tools Deployment and server management basics Inference engine integration (Groq and similar services) Nonprofit sector technology challenges Collaborative development through GitHub Multi-modal application interfaces Required Qualifications Currently pursuing or recently completed degree in Computer Science, AI, or related field Basic proficiency in JavaScript, Python, React or similar programming languages Familiarity with modern web development frameworks Interest in AI/ML applications and social impact technology Good communication skills and ability to work in fast-paced environment Preferred Qualifications Experience with AI/ML projects or coursework Familiarity with AI-assisted development platforms (Replit, Cursor, Windsurf) Previous internship or project experience in nonprofit sector Knowledge of user experience design principles Basic understanding of API integration and inference services Junior AI Engineer/Intern (Position 2) Position Overview: Support AI development team with focus on data pipeline development, backend systems, and machine learning model implementation for nonprofit applications. Key Responsibilities Backend Development Support Deliver functional synthetic data pipeline components with performance metrics Implement and document machine learning model training and validation processes Build compliance and cybersecurity features with security testing reports Develop and maintain API documentation for partner application integrations Technical Learning Areas Open-source AI model integration (Llama, Haystack ecosystem) Inference engine integration and optimization (Groq, self-hosted instances) Data processing and analytics pipeline development ML/NLP implementation for prediction and translation services OSINT data integration and processing Security framework implementation Server deployment and infrastructure basics Required Qualifications Currently pursuing or recently completed degree in Computer Science, Data Science, or related field Basic understanding of machine learning and data processing Proficiency in Python and familiarity with ML libraries (scikit-learn, pandas, numpy) Interest in data ethics and responsible AI development Ability to work independently and as part of distributed team Preferred Qualifications Experience with natural language processing or computer vision projects Familiarity with open-source AI models and frameworks Understanding of data privacy and compliance requirements Previous experience with nonprofit or social impact projects Knowledge of cybersecurity fundamentals Experience with inference APIs and model deployment Basic server administration or DevOps knowledge

Join our Data Science, Analytics and AI team supporting Macquarie Asset Management and you will have an opportunity to work in a dynamic and collaborative environment. Our team enables a data-driven culture for decision-makers by leveraging on advancements in analytics, and AI capabilities in support of business growth. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? In this role, you will collaborate with various business and analytics leaders to generate insights and answer queries using statistical analysis and/or machine learning, natural language processing, and generative AI. As a Data Scientist, you will use your expertise to propose innovative ways to look at problems and using these approaches on available enterprise and third-party data. You are also expected to work with global teams in the organization across different time zones. What You Offer Bachelor’s or Master’s degree in computer science, applied mathematics, statistics, or related field, with 6 years of postgraduate experience or 4+ years in data analysis and predictive modeling Proficiency in machine learning algorithms, including deep learning techniques (GANs, VAEs, Transformers), and experience with ML Ops/AI Ops. Expertise in cloud platforms (AWS, Azure, GCP) for scalable model training and deployment, along with knowledge of classical data science and generative AI methodologies. Hands-on experience with statistical and predictive modeling (e.g., regression, clustering, neural networks) and at least two areas such as deep learning, NLP, causal inference, or time series forecasting Proficient in tools like SQL, R, or Python for data analysis We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply. About Macquarie Asset Management Macquarie Asset Management is a global asset manager that aims to deliver positive impact. We’re trusted by institutions, pension funds, governments, and individuals to manage billions in assets globally. We provide access to specialist investment expertise across a range of capabilities including fixed income, equities, multi-asset solutions, private credit, infrastructure, green investments, natural assets, real estate, and asset finance. Our commitment to diversity, equity and inclusion We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.

Position Summary... To accelerate Sam’s aggressive growth goals, we are seeking a strategic and execution-oriented leader to accelerate delivery across enterprise-critical initiatives focused on membership growth strategy, member value and innovation using data-driven insights. This role will serve at the intersection of data, product and analytics to transform Walmart’s membership value proposition and unlock scalable growth opportunities. What you'll do... About The Team Working at Sam’s Club means a career without boundaries. There’s always room to grow, to take on another challenge, to roll up your sleeves and contribute, and to find professional rewards for your hard work. Yes, we are a division of the Fortune #1 company, Walmart, Inc. But you’ll quickly find that we’re a company that wants you to feel comfortable bringing your whole self to work. A career at Sam’s Club is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our clubs. What you'll do: The Senior Director will focus on Strategic Leadership & Vision Define and drive the data science strategy aligned with Sam’s Club’s overall business objectives. crafting and operationalizing future-ready membership models, identifying high-impact new club locations and partner with peers to enable Next Best Action (NBA) frameworks and conversational AI capabilities on enterprise data products. Serve as a thought leader on AI/ML innovation and data-driven culture across the enterprise. Team Building & Talent Development Lead, mentor, and grow a multi-disciplinary data science team including ML engineers, data scientists, and analysts. Build a high-performing team culture focused on innovation, experimentation, and outcomes. Ensure talent pipelines, learning, and development pathways are aligned to evolving business and tech needs. Cross-Functional Collaboration Partner with product, engineering, merchandising, supply chain, marketing, and membership teams to co-create data products and solutions. Translate complex business questions into clear data science problems and actionable solutions. Influence senior executives and stakeholders with data-backed insights and storytelling. Model Development & Deployment Oversee the development of ML models and AI systems for key use cases: demand forecasting, personalization, inventory optimization, pricing, fraud detection, and member engagement. Ensure models are robust, explainable, scalable, and continuously improved in production environments. Maintain high standards in model governance, monitoring, fairness, and compliance. Operational Excellence & Delivery Drive data science project delivery from problem framing to experimentation, development, deployment, and measurement of impact. Establish OKRs, KPIs, and success metrics for all initiatives and ensure value realization. Create standardized processes for reusability, documentation, and knowledge sharing. Innovation & Emerging Technologies Stay ahead of AI/ML trends including GenAI, LLMs, causal inference, reinforcement learning, and optimization. Lead experimentation on next-gen algorithms and tools that can drive competitive advantage. Build partnerships with academia, vendors, and the broader AI/ML community. What you’ll bring: 15+ years of experience in strategy, data products, advanced analytics, or related fields. Ability to act as a strategic consultant. Proven experience in driving cross-functional initiatives with multiple stakeholder groups. Understanding of membership models, customer lifecycle metrics, or retail operations is preferred. Strong analytical background; ability to structure problems, analyze data, and drive insight-to-action cycles. Familiarity with AI/ML and modern data product infrastructure (360 data views, conversational interfaces). Excellent communication and executive storytelling skills. Ability to operate in a highly matrixed, fast-paced environment. Success Metrics Timely delivery of foundational initiatives. Tangible business impact: increased member engagement, optimized club growth strategy, and scalable self-serve analytics. Cross-team alignment and adoption of strategic recommendations and tools. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s 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 is—and feels—included, 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, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. 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 7 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 5 years' experience in an analytics related field. Option 3: 9 years' experience in an analytics or related field. 3 years' supervisory experience. 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-2236108

What You’ll Do Design, develop and deploy agent-based AI systems using LLMs Build and scale Retrieval-Augmented Generation pipelines for real-time and offline inference. Develop and optimize training workflows for fine-tuning and adapting models to domain-specific tasks. Collaborate with cross-functional teams to integrate knowledge base into agent frameworks. Drive best practices in AI Engineering, model lifecycle management, and production deployment on Google Cloud (GCP) Implement version control strategies using Git, manage code repositories and ensure best practices in code management. Develop, manage CI/CD pipelines using Jenkins or other relevant tools to streamline deployment and updates. Monitor, evaluate, and improve model performance post- deployment on Google Cloud. Communicate technical findings and insights to non-technical stakeholders. Participate in technical discussions and contribute to strategic planning. What Experience You Need Master's / Bachelors in Computer Science, Artificial Intelligence, Machine Learning, or related field. 7+ years of experience in AI/ML engineering, with a strong focus on LLM-based applications. At least 10+ years of experience in IT overall. Proven experience in building agent-based applications using Gemini, OpenAI or similar models. Deep understanding of RAG systems, vector databases, and knowledge retrieval strategies. Hands-on experience with LangChain and LangGraph frameworks. Solid background in model training, fine-tuning, evaluation and deployment. Strong coding skills in Python and experience with modern MLOps practices. What Could Set You Apart Familiarity with frontend integration of AI agents (Eg. using Angular, Mesop or similar frameworks). Experience with Google Cloud services like BigQuery, Vertex AI, Agent Builder, ADK. Exposure to Angular framework

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. Our teams build and maintain the platforms critical to the existence of Coinbase. There are many teams that make up this group which include Product Foundations (i.e. Identity, Payment, Risk, Proofing & Regulatory, Finhub), Machine Learning, Customer Experience, and Infrastructure. As an Engineering Manager (Gen AI) you will play a pivotal role in building & working on a groundbreaking new platform that will put the power of Language Models in the hands of users to create an open financial system. The team builds the foundational components for training and serving ML models at Coinbase. Our platform is used to combat fraud, personalize user experiences, and to analyze blockchains. We are a lean team, so you will get the opportunity to apply your software engineering skills across all aspects of building ML at scale, including stream processing, distributed training, and highly available online services. What you’ll be doing (ie. job duties) : Hands-on architecture & develop platform for all LLM use-cases in Coinbase along with leading a team of ICs Provide technical structure to teams and work closely with management and stakeholders to define strategic roadmaps Manage individual projects priorities, deadlines and deliverables with your technical expertise. Form a deep understanding of our Machine Learning Engineers’ needs and our current capabilities and gaps. Mentor our talented junior engineers on how to build high quality software, and take their skills to the next level. Continually raise our engineering standards to maintain high-availability and low-latency for our ML inference infrastructure that runs both predictive ML models and LLMs. Optimize low latency streaming pipelines to give our ML models the freshest and highest quality data. Evangelize state-of-the-art practices on building high-performance distributed training jobs that process large volumes of data. Build tooling to observe the quality of data going into our models and to detect degradations impacting model performance. What we look for in you (ie. job requirements) : 10+ years of experience in software engineering At least 2+ years of engineering management experience. You have designed, built, and scaled production applications and very hands-on in leading a team of highly competent engineers Experience in upleveling junior engineers via processes and setting a high bar for them to follow You know what high quality code — and software engineering processes — look like and know how to foster an environment that creates them Deep customer empathy for our primary customer stakeholders. You’re passionate about building an open financial system that brings the world together. Excellent written and verbal communication skills, and a bias toward open, transparent cultural practices. Nice to haves : You have gone through a rapid growth in your company (from startup to mid-size). You’ve worked with Golang, Docker, Postgres, MongoDB or DynamoDB. Background in working in AI /LLM models is a plus. Job ID: GPEM06IN *Answers to crypto-related questions may be used to evaluate your onchain experience Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice here . Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here) . Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.

Company Description At 169Pi , we’re not just building AI tools, we're architecting the Memory OS for AGI . Our mission is to create intelligent systems that don’t just answer, but remember, reason, and adapt bringing real-world utility to the forefront of artificial intelligence. We operate as a full-stack AI research and infrastructure company, focused on domain-specific foundation models , multi-agent systems, and reasoning-first workflows. Our innovations span LLMs , multi-modal learning , and soon, persistent memory architectures tailored for high-impact sectors like education, coding, healthcare, policy, and legal research. Our latest product, Alpie , is a leap toward this future: an agentic platform with deep contextual understanding, modular tool-use, and task decomposition. While our Memory OS is actively in development, our current models already outperform expectations on reasoning and reliability. We’ve trained multiple high-performance language models and signed major partnerships, including a national-scale deployment with ISRO , India’s premier space research agency. Backed by technical breakthroughs and institutional trust, we are now scaling globally. Why We Need You? We're looking for a brilliant, hands-on CTO to lead our technical vision, help architect world-class AI systems, and build a strong engineering + research culture. This is not just a title, it’s an ownership opportunity. We're seeking someone with deep expertise in foundational models, system architecture, and infrastructure who can think boldly and execute relentlessly. What You'll Do Lead and own the technical architecture of our LLM stack, agent orchestration, and Memory OS platform Guide model training , fine-tuning, and performance optimization (RAG, SLMs, tool use, memory) Scale infrastructure for cost-efficient , production-grade AI systems (distributed training, inference, ops) Hire, mentor, and grow a high-performance engineering and research team Co-author research papers , open-source frameworks, and drive our technical presence globally Work closely with the CEO and founding team to align product and research roadmaps Represent 169Pi at global AI forums and build technical reputation & partnerships Compensation: Equity-heavy + Competitive salary post-funding Location: Hybrid - Mumbai, Soon USA. You Might be a fit if you : Have built and deployed LLMs or large-scale AI systems (open-source contributions, published papers a plus) Understand RAG, agentic workflows, memory architectures, and reasoning-centric models Are comfortable with training pipelines, multi-GPU orchestration, and fine-tuning large models Have previously held a technical leadership or CTO role at an AI/infra/ML-first company Are a builder at heart someone who thrives in chaos and creates clarity Want to build something iconic from the ground up , not just join late Bonus: You've worked with OSS communities, startups, research labs What We Offer Founding-level equity and future leadership in a high-growth, high-impact startup A chance to build the technical heart of the company , not just manage it Join us at a defining moment we’re raising our next round and expanding globally Work on problems that matter from national-scale deployments to building AI that can code, learn, and reason Collaborate with a gritty, ambitious team who won’t stop till they build AGI infrastructure the right way We're not hiring a CTO to manage, we're hiring one to invent. lead. own. If you’re a genius ready to make something unforgettable, write to us. Apply Now: Send your CV and a short note about your AI journey and vision to careers@169pi.com or rajat_arya@169pi.com

Responsibilities We are looking for exceptional engineers who consistently deliver outsized impact through deep technical expertise, rapid problem-solving, and strong ownership. Ideal candidates will not only write high-quality, scalable code but also influence architectural decisions, mentor team members, and build tools or frameworks that enhance team productivity. If you thrive in fast-paced environments, think systemically, and are passionate about driving both technical excellence and business outcomes, you’ll fit right in. This is a unique opportunity to shape our AI architecture, steer product direction, and drive innovation on a scale. Key Responsibilities Lead architectural design of AI-first systems that integrate LLMs, RAG pipelines, and agentic workflows. Takes full responsibility for projects — from concept to deployment and support Design scalable, cloud-native infrastructure for secure, low-latency GenAI deployments. Delivers high-quality code rapidly, often automating or optimizing repetitive tasks Deep knowledge of programming languages, algorithms, system design, and debugging. Able to solve complex problems quickly and efficiently. Define AI platform strategies including model selection, orchestration layers, data pipelines, and inference stacks. Architect modular APIs and reusable GenAI components across teams and product lines. Elevates the team, mentors others, communicates effectively Collaborate with engineering, product, and data science to bring AI capabilities to production rapidly. Evaluate, implement, and optimize LLMs (e.g., GPT, Claude, LLaMA) and vector databases (e.g., Pinecone, Qdrant). Champion best practices in AI safety, model governance, and performance monitoring. Sees the big picture — understands architecture, scalability, and maintainability Qualifications Required Qualifications 10+ years of experience in software architecture and engineering, including 3–5 years in AI/ML systems. Deep hands-on experience with LLM APIs (OpenAI, Anthropic, Mistral) and GenAI tools (LangChain, LlamaIndex,Temporal, AutoGen). Proven experience architecting production-grade GenAI or ML-powered products. Expertise in system design, microservices, API architecture, and distributed systems. Proficient in Python and one backend/system-level language, Net Strong understanding of model training pipelines, retrieval systems, embeddings, and cloud AI infra. Familiar with MLOps, Kubernetes, and CI/CD for AI model deployment. Preferred Experience with multi-modal AI, agentic systems, or domain-specific fine-tuning. Exposure to AI regulations, ethical AI frameworks, and prompt security. Contributions to AI/ML open source or published research. Ability to mentor cross-functional teams and lead architecture councils. About Us With unmatched technology and category-defining innovation, Icertis pushes the boundaries of what’s possible with contract lifecycle management (CLM). The AI-powered, analyst-validated Icertis Contract Intelligence (ICI) platform turns contracts from static documents into strategic advantage by structuring and connecting the critical contract information that defines how an organization runs. Today, the world’s most iconic brands and disruptive innovators trust Icertis to fully realize the intent of their combined 10 million contracts worth more than $1 trillion, in 40+ languages and 93 countries. About The Team Who we a re: Icertis is the only contract intelligence platform companies trust to keep them out in front, now and in the future. Our unwavering commitment to contract intelligence is grounded in our FORTE values—Fairness, Openness, Respect, Teamwork and Execution—which guide all our interactions with employees, customers, partners, and stakeholders. Because in our mission to be the contract intelligence platform of the world, we believe how we get there is as important as the destination. Icertis, Inc. provides Equal Employment Opportunity to all employees and applicants for employment without regard to race, color, religion, gender identity or expression, sex, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Icertis, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to careers@icertis.com or get in touch with your recruiter.

As a Principal Software Engineer for Data, the person will lead the design and implementation of scalable, secure, and high-performance data pipelines across that involves healthcare clinical data, using modern big data and cloud technologies (Azure, Databricks, and Spark), ensuring alignment with UnitedHealth Group’s data governance standards. This role requires a hands-on leader who can write and review code, mentor teams, and collaborate across business and technical stakeholders to drive data strategy and innovation. The person needs to be ready to take up AI and AIOps as part of their work and support the data science teams with ideas and review their work. Primary Responsibilities Architecture Design and lead the implementation of robust, scalable, and secure data architectures for clinical and healthcare data for batch and real time pipelines. Architect end-to-end data pipelines using big data and cloud-native technologies (e.g., Spark, Databricks, Azure Data Factory). Ensure data solutions meet performance, scalability, and compliance requirements, including HIPAA and internal governance policies. Have good experience with designing, evolving and reviewing database schema. Experience with schema management for unstructured data, structured data, relational, star schema. Experience with designing and managing semantic data elements (metadata, configuration, master data). Come up with automated pipelines to keep them up-to-date from upstream sources. Build and optimize data ingestion, transformation, and storage pipelines for structured and unstructured clinical data. Guide teams that are doing it and ensure support for incremental data processing. Ensure data quality, lineage is embedded in all solutions. Lead code reviews, proof-of-concepts, and performance tuning for large-scale data systems. Collaborate with data governance teams to ensure adherence to UHG and healthcare data standards, lineage, certification, Data use rights, and data privacy. Contribute to the maturity of data governance domains and participate in governance councils and working groups. Design, Build and monitor MLOps pipelines, model inference and robust piplelines for running AI operations on data. Secondary Responsibilities Mentor data engineers and analysts, fostering a culture of technical excellence and continuous learning. Collaborate with product managers, data scientists, and business stakeholders to translate requirements into data solutions. Influence architectural decisions across teams and contribute to enterprise-wide data strategy. Stay current with emerging technologies in cloud, big data, and AI/ML, and evaluate their applicability to healthcare data. Promote the use of generative AI tools (e.g., GitHub Copilot) to enhance development productivity and innovation. Drive adoption of DevOps and DataOps practices, including CI/CD, IaC, and automated testing for data pipelines. Required Skills & Qualifications Technical skills Ideally 11+ years of experience in data architecture, data engineering, or related roles, with a focus on healthcare or clinical data preferred. Proven track record of designing and delivering large-scale data solutions in cloud environments. Cloud Platforms: Strong experience with Azure (preferred), AWS, or GCP. Big Data Technologies: Proficient in Apache Spark, Databricks, Delta Lake, and distributed data processing. Data Engineering: Expertise in building ETL/ELT pipelines, data lakes, and real-time streaming architectures using python, scala or other comparable technologies. Data Modelling: Deep understanding of dimensional modeling, canonical models, and healthcare data standards (e.g., HL7, FHIR). Programming: Proficiency in Python, SQL, and optionally Scala or Java. DevOps/DataOps: Familiarity with CI/CD, IaC (Terraform, ARM) Soft Skills Strong leadership, communication, and stakeholder management skills. Ability to mentor and influence across teams and levels. Strategic thinker with a passion for data-driven innovation. Ability to get into details whenever required and spend time in understanding and solving problems. Preferred Skills Experience with healthcare data interoperability standards (FHIR, HL7, CCD). Familiarity with MLOps and integrating data pipelines with ML workflows. Contributions to open-source projects or publications in data architecture or healthcare analytics.