1951 Inference Jobs - Page 29

Role Name: Principal Data Scientist Department Name: AI & Data Science Role GCF: 6 Hiring Manager Name: Swaroop Suresh About ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: We are seeking a Principal AI Platform Architect —Amgen’s most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms. Sitting at the intersection of engineering excellence and data-science enablement, you will design the core services, infrastructure and governance controls that allow hundreds of practitioners to prototype, deploy and monitor models—classical ML, deep learning and LLMs—securely and cost-effectively. Acting as a “player-coach,” you will establish platform strategy, define technical standards, and partner with DevOps, Security, Compliance and Product teams to deliver a frictionless, enterprise-grade AI developer experience. Roles & Responsibilities: Define and evangelise a multi-year AI-platform vision and reference architecture that advances Amgen’s digital-transformation, cloud-modernisation and product-delivery objectives. Design and evolve foundational platform components —feature stores, model registry, experiment tracking, vector databases, real-time inference gateways and evaluation harnesses—using cloud-agnostic, micro-service principles. Establish modelling and algorithm-selection standards that span classical ML, tree-based ensembles, clustering, time-series, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques; advise product squads on choosing and operationalising the right algorithm for each use-case. Orchestrate the full delivery pipeline for AI solutions —pilot → regulated validation → production rollout → post-launch monitoring—defining stage-gates, documentation and sign-off criteria that meet GxP/CSV and global privacy requirements. Scale AI workloads globally by engineering autoscaling GPU/CPU clusters, distributed training, low-latency inference and cost-aware load-balancing, maintaining <100 ms P95 latency while optimising spend. Implement robust MLOps and release-management practices (CI/CD for models, blue-green & canary deployments, automated rollback) to ensure zero-downtime releases and auditable traceability. Embed responsible-AI and security-by-design controls —data privacy, lineage tracking, bias monitoring, audit logging—through policy-as-code and automated guardrails. Package reusable solution blueprints and APIs that enable product teams to consume AI capabilities consistently, cutting time-to-production by ≥ 50 %. Provide deep technical mentorship and architecture reviews to product squads, troubleshooting performance bottlenecks and guiding optimisation of cloud resources. Develop TCO models and FinOps practices, negotiate enterprise contracts for cloud/AI infrastructure and deliver continuous cost-efficiency improvements. Establish observability frameworks —metrics, distributed tracing, drift detection, SLA dashboards—to keep models performant, reliable and compliant at scale. Track emerging technologies and regulations (serverless GPUs, confidential compute, EU AI Act) and integrate innovations that maintain Amgen’s leadership in enterprise AI. Must-Have Skills: 5-7 years in AI/ML, data platforms or enterprise software. Comprehensive command of machine-learning algorithms—regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques—with the judgment to choose, tune and operationalise the right method for a given business problem. Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale. Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel). Proficiency in Python and Java; containerisation (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines). Strong business-case skills—able to model TCO vs. NPV and present trade-offs to executives. Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives. Good-to-Have Skills: Experience in Biotechnology or pharma industry is a big plus Published thought-leadership or conference talks on enterprise GenAI adoption. Master’s degree in Computer Science and or Data Science Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery. Education and Professional Certifications Master’s degree with 10-14 + years of experience in Computer Science, IT or related field OR Bachelor’s degree with 12-17 + years of experience in Computer Science, IT or related field Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Role Name: Principal Data Scientist Department Name: AI & Data Science Role GCF: 6 Hiring Manager Name: Swaroop Suresh About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: We are seeking a Principal AI Platform Architect —Amgen’s most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms. Sitting at the intersection of engineering excellence and data-science enablement, you will design the core services, infrastructure and governance controls that allow hundreds of practitioners to prototype, deploy and monitor models—classical ML, deep learning and LLMs—securely and cost-effectively. Acting as a “player-coach,” you will establish platform strategy, define technical standards, and partner with DevOps, Security, Compliance and Product teams to deliver a frictionless, enterprise-grade AI developer experience. Roles & Responsibilities: Define and evangelise the multi-year AI-platform vision, architecture blueprints and reference implementations that align with Amgen’s digital-transformation and cloud-modernization objectives. Design and evolve foundational platform components—feature stores, model-registry, experiment-tracking, vector databases, real-time inference gateways and evaluation harnesses—using cloud-agnostic, micro-service principles. Implement robust MLOps pipelines (CI/CD for models, automated testing, canary releases, rollback) and enforce reproducibility from data ingestion to model serving. Embed responsible-AI and security-by-design controls—data-privacy, lineage tracking, bias monitoring, audit logging—through policy-as-code and automated guardrails. Serve as the ultimate technical advisor to product squads: codify best practices, review architecture/PRs, troubleshoot performance bottlenecks and guide optimisation of cloud resources. Partner with Procurement and Finance to develop TCO models, negotiate enterprise contracts for cloud/AI infrastructure, and continuously optimise spend. Drive platform adoption via self-service tools, documentation, SDKs and internal workshops; measure success through developer NPS, time-to-deploy and model uptime SLAs. Establish observability frameworks—metrics, distributed tracing, drift detection—to ensure models remain performant, reliable and compliant in production. Track emerging technologies (serverless GPUs, AI accelerators, confidential compute, policy frameworks like EU AI Act) and proactively integrate innovations that keep Amgen at the forefront of enterprise AI. Must-Have Skills: 5-7 years in AI/ML, data platforms or enterprise software, including 3+ years leading senior ICs or managers. Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale. Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel). Proficiency in Python and Java; containerisation (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines). Strong business-case skills—able to model TCO vs. NPV and present trade-offs to executives. Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives. Good-to-Have Skills: Experience in Biotechnology or pharma industry is a big plus Published thought-leadership or conference talks on enterprise GenAI adoption. Master’s degree in Computer Science, Data Science or MBA with AI focus. Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery. Education and Professional Certifications Master’s degree with 10-14 + years of experience in Computer Science, IT or related field OR Bachelor’s degree with 12-17 + years of experience in Computer Science, IT or related field Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Overview: The Clinton Health Access Initiative, Inc. (CHAI) is a global health organization committed to the mission of saving lives and reducing the burden of disease in low-and middle-income countries. We work at the invitation of governments to support them and the private sector to create and sustain high-quality health systems. CHAI was founded in 2002 in response to the HIV/AIDS epidemic with the goal of dramatically reducing the price of life-saving drugs and increasing access to these medicines in the countries with the highest burden of the disease. Over the following two decades, CHAI has expanded its focus. Today, along with HIV, we work in conjunction with our partners to prevent and treat infectious diseases such as COVID-19, malaria, tuberculosis, and hepatitis. Our work has also expanded into cancer, diabetes, hypertension, and other non-communicable diseases, and we work to accelerate the rollout of lifesaving vaccines, reduce maternal and child mortality, combat chronic malnutrition, and increase access to assistive technology. We are investing in horizontal approaches to strengthen health systems through programs in human resources for health, digital health, and health financing. With each new and innovative program, our strategy is grounded in maximizing sustainable impact at scale, ensuring that governments lead the solutions, that programs are designed to scale nationally, and learnings are shared globally. At CHAI, our people are our greatest asset, and none of this work would be possible without their talent, time, dedication and passion for our mission and values. We are a highly diverse team of enthusiastic individuals across 40 countries with a broad range of skillsets and life experiences. CHAI is deeply grounded in the countries we work in, with majority of our staff based in programming countries. In India, CHAI works in partnership with its India registered affiliate William J Clinton Foundation (WJCF) under the guidance of the Ministry of Health and Family Welfare (MoHFW) at the Central and States' levels on an array of high priority initiatives aimed at improving health outcomes. Currently, WJCF supports government partners across projects to expand access to quality care and treatment for HIV/AIDS, Hepatitis, tuberculosis, COVID-19, common cancers, sexual and reproductive health, immunization, and essential medicines. Learn more about our exciting work: http://www.clintonhealthaccess.org Program Overview: India continues to bear the world’s highest burden of tuberculosis (TB) in terms of absolute numbers of incident TB cases. National TB prevalence survey (2019-21) revealed a significant 31.3% (estimated) crude prevalence of TB infection (TBI) among India’s population aged 15 years and above. Moreover, India has set an ambitious target of eliminating TB by 2025. The National Strategic Plan 2017–2025 outlines a critical target of initiating 95% of identified/eligible TBI cases on TB Preventive Treatment (TPT) by 2025. The TB Household Contact Management (TB HCM) project is a pioneering initiative addressing critical gaps in coverage and completion of TPT amongst household contacts of notified drug sensitive pulmonary TB patients, with particular focus on under five (U5) children. Planned to be implemented in Bihar and Uttar Pradesh, this four-year TB HCM project aims to impact over 2.5 million individuals through a community-based service delivery model that leverages community health workers from the National Tuberculosis Elimination Programme (NTEP) and general health systems. As the first large-scale implementation of TPT while focusing on Universal Health Coverage strategies, the project focuses on decentralizing and strengthening TB care within general health systems. Additionally, it incorporates an impact evaluation component, further enhancing its significance in advancing TB prevention and care in alignment with national health priorities and international best practices. Position Summary: WJCF seeks a highly motivated, results-oriented Senior Research Associate to support the TB HCM project, reporting to the National Monitoring, Evaluation & Research Manager. The role involves supporting study implementation, coordinating evaluation activities, providing technical input, and contributing to evidence generation to advance TB prevention strategies. The ideal candidate is a strategic thinker with strong leadership, analytical, and problem-solving skills, capable of working independently and collaboratively in a fast-paced, multicultural environment with appropriate guidance and mentorship. The Senior Research Associate will support engagement with government counterparts, donors, and external partners, and work across WJCF/CHAI teams to ensure project success. Responsibilities: 1. Coordination of external evaluation activities –40% Support and coordinate communication with the evaluation agency, ensuring alignment between the evaluation and program implementation, with the objective of ensuring timely information flow regarding any risks to the core elements of the program Support fieldwork for the planned RCT embedded within the program, ensuring high-quality data collection training. The candidate will also be expected to establish quality control mechanisms, implement them, and provide regular updates to the core national and global teams. Proactively identify and address any challenges affecting the design and implementation of the evaluation. Serve as the primary day-to-day point of contact for the evaluation agency, managing ongoing coordination activities not explicitly listed above, and ensuring the evaluation and implementation processes remain aligned under the guidance of the senior team. 2. Technical review and input – 25% Contribute to the technical review of study protocols, instruments, evaluation design, and analysis plans, in collaboration with the broader technical team Support the design, refinement, and implementation of an embedded randomized controlled trial (RCT) and other qualitative components (e.g., process evaluations, qualitative interviews) to assess the impact of the CbHCM model Assist with the submission of study tools to the Institutional Review Board (IRB) and other relevant Indian authorities (such as HMSC), as required Where needed, analyze quantitative data using Stata or other statistical software. Additionally, they contribute to the design of qualitative tools and assist in their implementation and analysis, including transcript coding using appropriate qualitative analysis software Collaborate with the technical team to respond to donor inquiries related to the impact evaluation and/or data from routine program monitoring 3. Evidence generation & Synthesis of learning – 35% Conduct primary and secondary research to address learning and evidence gaps in strategically relevant areas of implementation and evaluation. Support the in-country learning agenda by identifying and addressing evidence gaps for NTEP and CHAI/WJCF through complementary analyses. Participate in systematic reviews of secondary literature on related themes and maintain a bibliography of key citations using reference management software Work closely with the National Monitoring & Evaluation Manager to align evaluation and program monitoring workstreams. Contribute to synthesizing learnings from implementation and evaluation efforts to inform new ideas and guide intervention design Support the development and delivery of learning and dissemination materials, including reports, manuscripts, and other documentation Qualifications: Bachelor’s or Master’s in epidemiology, economics, biostatistics, or a related field with significant focus on quantitative skills (e.g., epidemiology and public/global health) with a strong understanding of inferential statistics). Minimum 5 years of applied work experience in resource-limited settings and/or a field requiring analytical problem-solving. Technical Skills: Strong command of experimental, quasi-experimental study designs and qualitative research methods Experience in designing and implementing quantitative models and/or impact evaluation and/or qualitative research; fluency in concepts of statistical inference and data analysis Strong skills in quantitative modeling, data management, and statistical analysis using software like Stata/R Demonstrated experience with data collection workflows and platforms, such as SurveyCTO, Google sheets or similar tools Demonstrated experience with or involvement in the implementation of RCTs/Or quasi experimental or similar studies in India Experience piloting survey instruments, training data collectors, and leading field logistics for large-scale studies Stakeholder management and communication: An ability to communicate complex concepts clearly and support the development of actionable recommendations for a range of audiences including Ministries of Health, global donors and policy makers Strong interpersonal skills, and an ability to navigate multi-cultural, multi-stakeholder situations collaboratively to achieve intended results Organization, time management and self-motivation: Exceptional organizational skills and ability to approach complex problems in a structured manner Strong ability to work independently, to develop and execute work-plans, and to achieve specified goals with limited guidance and oversight in a fast-paced environment Demonstrated capacity to thrive in a work environment that requires effective balancing across parallel workstreams and deliverables Willingness to travel (at least 25%) to Bihar and Uttar Pradesh Last Date to Apply: 27th July, 2025

India - Hyderabad JOB ID: R-216765 ADDITIONAL LOCATIONS: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Jun. 27, 2025 CATEGORY: Information Systems Principal Data Scientist Role Name: Principal Data Scientist Department Name: AI & Data Science Role GCF: 6 Hiring Manager Name: Swaroop Suresh ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: We are seeking a Principal AI Platform Architect —Amgen’s most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms. Sitting at the intersection of engineering excellence and data-science enablement, you will design the core services, infrastructure and governance controls that allow hundreds of practitioners to prototype, deploy and monitor models—classical ML, deep learning and LLMs—securely and cost-effectively. Acting as a “player-coach,” you will establish platform strategy, define technical standards, and partner with DevOps, Security, Compliance and Product teams to deliver a frictionless, enterprise-grade AI developer experience. Roles & Responsibilities: Define and evangelise the multi-year AI-platform vision, architecture blueprints and reference implementations that align with Amgen’s digital-transformation and cloud-modernization objectives. Design and evolve foundational platform components—feature stores, model-registry, experiment-tracking, vector databases, real-time inference gateways and evaluation harnesses—using cloud-agnostic, micro-service principles. Implement robust MLOps pipelines (CI/CD for models, automated testing, canary releases, rollback) and enforce reproducibility from data ingestion to model serving. Embed responsible-AI and security-by-design controls—data-privacy, lineage tracking, bias monitoring, audit logging—through policy-as-code and automated guardrails. Serve as the ultimate technical advisor to product squads: codify best practices, review architecture/PRs, troubleshoot performance bottlenecks and guide optimisation of cloud resources. Partner with Procurement and Finance to develop TCO models, negotiate enterprise contracts for cloud/AI infrastructure, and continuously optimise spend. Drive platform adoption via self-service tools, documentation, SDKs and internal workshops; measure success through developer NPS, time-to-deploy and model uptime SLAs. Establish observability frameworks—metrics, distributed tracing, drift detection—to ensure models remain performant, reliable and compliant in production. Track emerging technologies (serverless GPUs, AI accelerators, confidential compute, policy frameworks like EU AI Act) and proactively integrate innovations that keep Amgen at the forefront of enterprise AI. Must-Have Skills: 5-7 years in AI/ML, data platforms or enterprise software, including 3+ years leading senior ICs or managers. Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale. Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel). Proficiency in Python and Java; containerisation (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines). Strong business-case skills—able to model TCO vs. NPV and present trade-offs to executives. Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives. Good-to-Have Skills: Experience in Biotechnology or pharma industry is a big plus Published thought-leadership or conference talks on enterprise GenAI adoption. Master’s degree in Computer Science, Data Science or MBA with AI focus. Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery. Education and Professional Certifications Master’s degree with 10-14 + years of experience in Computer Science, IT or related field OR Bachelor’s degree with 12-17 + years of experience in Computer Science, IT or related field Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

AI Lead – Generative & Agentic AI Systems Experience: 7–10 Years Location: Hyderabad (Hybrid) Employment Type: Full-Time About the Role: We are seeking a visionary and hands-on AI Lead to architect, build, and scale next-generation Generative and Agentic AI systems. In this role, you will drive the end-to-end lifecycle—from research and prototyping to production deployment—guiding a team of AI engineers and collaborating cross-functionally to deliver secure, scalable, and impactful AI solutions across multimodal and LLM-based ecosystems. Key Responsibilities: Architect and oversee the development of GenAI and Agentic AI workflows, including multi-agent systems and LLM-based pipelines. Guide AI engineers in best practices for RAG (Retrieval-Augmented Generation), prompt engineering, and agent design. Evaluate and implement the right technology stack: open source (Hugging Face, LangChain, LlamaIndex) vs. closed source (OpenAI, Anthropic, Mistral). Lead fine-tuning and adapter-based training (e.g., LoRA, QLoRA, PEFT). Drive inference optimization using quantization, ONNX, TensorRT, and related tools. Build and refine RAG pipelines using embedding models, vector DBs (FAISS, Qdrant), chunking strategies, and hybrid knowledge graph systems. Manage LLMOps with tools like Weights & Biases, MLflow, and ClearML, ensuring experiment reproducibility and model versioning. Design and implement evaluation frameworks for truthfulness, helpfulness, toxicity, and hallucinations. Integrate guardrails, content filtering, and data privacy best practices into GenAI systems. Lead development of multi-modal AI systems (VLMs, CLIP, LLaVA, video-text fusion models). Oversee synthetic data generation for fine-tuning in low-resource domains. Design APIs and services for Model-as-a-Service (MaaS) and AI agent orchestration. Collaborate with product, cloud, and infrastructure teams to align on deployment, GPU scaling, and cost optimization. Translate cutting-edge AI research into usable product capabilities, from prototyping to production. Mentor and grow the AI team, establishing R&D best practices and benchmarks. Stay up-to-date with emerging trends (arXiv, Papers With Code) to keep the organization ahead of the curve. Required Skills & Expertise: AI & ML Foundations: Generative AI, LLMs, Diffusion Models, Agentic AI Systems, Multi-Agent Planning, Prompt Engineering, Feedback Loops, Task Decomposition Ecosystem & Frameworks: Hugging Face, LangChain, OpenAI, Anthropic, Mistral, LLaMA, GPT, Claude, Mixtral, Falcon, etc. Fine-tuning & Inference: LoRA, QLoRA, PEFT, ONNX, TensorRT, DeepSpeed, vLLM Data & Retrieval Systems: FAISS, Qdrant, Chroma, Pinecone, Hybrid RAG + Knowledge Graphs MLOps & Evaluation: Weights & Biases, ClearML, MLflow, Evaluation metrics (truthfulness, helpfulness, hallucination) Security & Governance: Content moderation, data privacy, model alignment, ethical constraints Deployment & Ops: Cloud (AWS, GCP, Azure) with GPU scaling, Serverless LLMs, API-based inference, Docker/Kubernetes Other: Multi-modal AI (images, video, audio), API Design (Swagger/OpenAPI), Research translation and POC delivery Preferred Qualifications: 7+ years in AI/ML roles, with at least 2–3 years in a technical leadership capacity Proven experience deploying LLM-powered systems at scale Experience working with cross-functional product and infrastructure teams Contributions to open-source AI projects or published research papers (a plus) Strong communication skills to articulate complex AI concepts to diverse stakeholders Why Join Us? Work at the forefront of AI innovation with opportunities to publish, build, and scale impactful systems Lead a passionate team of engineers and researchers Shape the future of ethical, explainable, and usable AI products Ready to shape the next wave of AI? Apply now and join us on this journey! Job Types: Full-time, Permanent Pay: ₹2,500,000.00 - ₹3,500,000.00 per year Benefits: Flexible schedule Health insurance Provident Fund Supplemental Pay: Joining bonus Work Location: In person

Experience : 5.00 + years Salary : INR 5000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Precanto) (*Note: This is a requirement for one of Uplers' client - A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams.) What do you need for this opportunity? Must have skills required: async workflows, MLOps, Ray Tune, Data Engineering, MLFlow, Supervised Learning, Time-Series Forecasting, Docker, machine_learning, NLP, Python, SQL A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams. is Looking for: We are a fast-moving startup building AI-driven solutions to the financial planning workflow. We’re looking for a versatile Machine Learning Engineer to join our team and take ownership of building, deploying, and scaling intelligent systems that power our core product. Job Description- Full-time Team: Data & ML Engineering We’re looking for 5+ years of experience as a Machine Learning or Data Engineer (startup experience is a plus) What You Will Do- Build and optimize machine learning models — from regression to time-series forecasting Work with data pipelines and orchestrate training/inference jobs using Ray, Airflow, and Docker Train, tune, and evaluate models using tools like Ray Tune, MLflow, and scikit-learn Design and deploy LLM-powered features and workflows Collaborate closely with product managers to turn ideas into experiments and production-ready solutions Partner with Software and DevOps engineers to build robust ML pipelines and integrate them with the broader platform Basic Skills Proven ability to work creatively and analytically in a problem-solving environment Excellent communication (written and oral) and interpersonal skills Strong understanding of supervised learning and time-series modeling Experience deploying ML models and building automated training/inference pipelines Ability to work cross-functionally in a collaborative and fast-paced environment Comfortable wearing many hats and owning projects end-to-end Write clean, tested, and scalable Python and SQL code Leverage async workflows and cloud-native infrastructure (S3, Docker, etc.) for high-throughput data processing. Advanced Skills Familiarity with MLOps best practices Prior experience with LLM-based features or production-level NLP Experience with LLMs, vector stores, or prompt engineering Contributions to open-source ML or data tools TECH STACK Languages: Python, SQL Frameworks & Tools: scikit-learn, Prophet, pyts, MLflow, Ray, Ray Tune, Jupyter Infra: Docker, Airflow, S3, asyncio, Pydantic How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

About Us: Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward. With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals. Role Overview: We are seeking an experienced AI Product Manager to own the lifecycle of machine-learning and generative-AI products—from concept through launch and iteration. You’ll translate market and user insights into clear roadmaps, partner with engineering and data-science teams to deliver scalable solutions, and measure impact against business KPIs. Experience: 7 – 9years overall (incl.3 + years in ML / data-platform products) Only Immediate joiners preferred!! Location: Hyderabad Responsibilities: Product strategy & vision Define long-term AI product strategy aligned with company OKRs and market trends. Champion user problems, competitive differentiators, and regulatory considerations. Roadmap & backlog ownership Convert strategy into epics, user stories, and acceptance criteria; prioritise using data-driven frameworks. Maintain a groomed backlog and lead sprint planning with cross-functional squads. End-to-end delivery Collaborate daily with engineering, data science, UX, QA, and DevOps to ship high-quality releases. Drive trade-off decisions on model choices (e.g., classical ML vs. LLM), latency, cost, and privacy. User & stakeholder engagement Conduct discovery interviews, usability testing, and beta programs with target users (developers, analysts, business owners). Present roadmaps, release demos, and performance updates to executive leadership and customers. Metrics & continuous improvement Define success KPIs (adoption, NPS, accuracy, cost per inference, ARR). Monitor dashboards and run A/B tests to optimize. Capture feedback loops to iterate on prompts, models, or feature sets. Market & ecosystem awareness Track advances in AI frameworks, vector databases, model hosting, and responsible-AI standards. Evaluate build / partner / buy options and recommend platform integrations or third-party partnerships. Qualifications : 7-9 years total product-management experience, including 3+ years with AI / ML / data-platform products. Proven track record shipping B2B SaaS, platform APIs, or developer-tooling features end-to-end. Hands-on familiarity with AI concepts: supervised vs. unsupervised learning, model evaluation, prompt engineering, retrieval-augmented generation, MLOps pipelines. Ability to write clear PRDs, epics, and technical diagrams; comfortable using Jira, Confluence, or equivalent. Strong analytical skills; fluent with SQL/BI tools for product metrics. Excellent communication and stakeholder-management skills across business and technical audiences. Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience. Preferred / nice to have Experience with vector databases, LLM fine-tuning, or agentic AI orchestration. Understanding of cloud AI services (AWS, GCP, Azure) and cost-optimisation levers. Familiarity with responsible-AI frameworks and governance in regulated industries. MBA from Tier-1 Institution

Web Developer - Full Stack with AI IntegrationKey ResponsibilitiesCollaborate with cross-functional teams to define, design, and ship new features including AI-powered capabilities Develop server-side logic using Node.js, ensuring high performance and responsiveness to requests from front-end components Build reusable and efficient front-end components using React.js, including AI-driven interfaces and data visualization Integrate AI/ML APIs (OpenAI, Google AI, AWS AI services) and implement features like chatbots, content generation, and recommendation systems Implement and maintain API integrations with third-party services and AI platforms Optimize applications for maximum speed and scalability, including efficient AI model inference and response caching Collaborate with team members to troubleshoot, debug, and optimize application performance across traditional and AI systems Stay up-to-date with emerging AI technologies, web development frameworks, and industry trends Implement security and data protection measures, including secure handling of AI model inputs/outputs Participate in code reviews and provide constructive feedback on both web development and AI integration practices Deploy applications on AWS and manage cloud infrastructure, utilizing AI/ML services like SageMaker and Bedrock Develop prompt engineering strategies and build user interfaces for AI model interactions and monitoring

The Clinton Health Access Initiative, Inc. (CHAI) is a global health organization committed to the mission of saving lives and reducing the burden of disease in low-and middle-income countries. We work at the invitation of governments to support them and the private sector to create and sustain high-quality health systems. CHAI was founded in 2002 in response to the HIV/AIDS epidemic with the goal of dramatically reducing the price of life-saving drugs and increasing access to these medicines in the countries with the highest burden of the disease. Over the following two decades, CHAI has expanded its focus. Today, along with HIV, we work in conjunction with our partners to prevent and treat infectious diseases such as COVID-19, malaria, tuberculosis, and hepatitis. Our work has also expanded into cancer, diabetes, hypertension, and other non-communicable diseases, and we work to accelerate the rollout of lifesaving vaccines, reduce maternal and child mortality, combat chronic malnutrition, and increase access to assistive technology. We are investing in horizontal approaches to strengthen health systems through programs in human resources for health, digital health, and health financing. With each new and innovative program, our strategy is grounded in maximizing sustainable impact at scale, ensuring that governments lead the solutions, that programs are designed to scale nationally, and learnings are shared globally. At CHAI, our people are our greatest asset, and none of this work would be possible without their talent, time, dedication and passion for our mission and values. We are a highly diverse team of enthusiastic individuals across 40 countries with a broad range of skillsets and life experiences. CHAI is deeply grounded in the countries we work in, with majority of our staff based in programming countries. In India, CHAI works in partnership with its India registered affiliate William J Clinton Foundation (WJCF) under the guidance of the Ministry of Health and Family Welfare (MoHFW) at the Central and States' levels on an array of high priority initiatives aimed at improving health outcomes. Currently, WJCF supports government partners across projects to expand access to quality care and treatment for HIV/AIDS, Hepatitis, tuberculosis, COVID-19, common cancers, sexual and reproductive health, immunization, and essential medicines. Learn more about our exciting work http//www.clintonhealthaccess.org Program Overview India continues to bear the world’s highest burden of tuberculosis (TB) in terms of absolute numbers of incident TB cases. National TB prevalence survey (2019-21) revealed a significant 31.3% (estimated) crude prevalence of TB infection (TBI) among India’s population aged 15 years and above. Moreover, India has set an ambitious target of eliminating TB by 2025. The National Strategic Plan 2017-2025 outlines a critical target of initiating 95% of identified/eligible TBI cases on TB Preventive Treatment (TPT) by 2025. The TB Household Contact Management (TB HCM) project is a pioneering initiative addressing critical gaps in coverage and completion of TPT amongst household contacts of notified drug sensitive pulmonary TB patients, with particular focus on under five (U5) children. Planned to be implemented in Bihar and Uttar Pradesh, this four-year TB HCM project aims to impact over 2.5 million individuals through a community-based service delivery model that leverages community health workers from the National Tuberculosis Elimination Programme (NTEP) and general health systems. As the first large-scale implementation of TPT while focusing on Universal Health Coverage strategies, the project focuses on decentralizing and strengthening TB care within general health systems. Additionally, it incorporates an impact evaluation component, further enhancing its significance in advancing TB prevention and care in alignment with national health priorities and international best practices. Position Summary WJCF seeks a highly motivated, results-oriented Senior Research Associate to support the TB HCM project, reporting to the National Monitoring, Evaluation & Research Manager. The role involves supporting study implementation, coordinating evaluation activities, providing technical input, and contributing to evidence generation to advance TB prevention strategies. The ideal candidate is a strategic thinker with strong leadership, analytical, and problem-solving skills, capable of working independently and collaboratively in a fast-paced, multicultural environment with appropriate guidance and mentorship. The Senior Research Associate will support engagement with government counterparts, donors, and external partners, and work across WJCF/CHAI teams to ensure project success. Coordination of external evaluation activities -40% Support and coordinate communication with the evaluation agency, ensuring alignment between the evaluation and program implementation, with the objective of ensuring timely information flow regarding any risks to the core elements of the program Support fieldwork for the planned RCT embedded within the program, ensuring high-quality data collection training. The candidate will also be expected to establish quality control mechanisms, implement them, and provide regular updates to the core national and global teams. Proactively identify and address any challenges affecting the design and implementation of the evaluation. Serve as the primary day-to-day point of contact for the evaluation agency, managing ongoing coordination activities not explicitly listed above, and ensuring the evaluation and implementation processes remain aligned under the guidance of the senior team. Technical review and input - 25% Contribute to the technical review of study protocols, instruments, evaluation design, and analysis plans, in collaboration with the broader technical team Support the design, refinement, and implementation of an embedded randomized controlled trial (RCT) and other qualitative components (e.g., process evaluations, qualitative interviews) to assess the impact of the CbHCM model Assist with the submission of study tools to the Institutional Review Board (IRB) and other relevant Indian authorities (such as HMSC), as required Where needed, analyze quantitative data using Stata or other statistical software. Additionally, they contribute to the design of qualitative tools and assist in their implementation and analysis, including transcript coding using appropriate qualitative analysis software Collaborate with the technical team to respond to donor inquiries related to the impact evaluation and/or data from routine program monitoring Evidence generation & Synthesis of learning - 35% Conduct primary and secondary research to address learning and evidence gaps in strategically relevant areas of implementation and evaluation. Support the in-country learning agenda by identifying and addressing evidence gaps for NTEP and CHAI/WJCF through complementary analyses. Participate in systematic reviews of secondary literature on related themes and maintain a bibliography of key citations using reference management software Work closely with the National Monitoring & Evaluation Manager to align evaluation and program monitoring workstreams. Contribute to synthesizing learnings from implementation and evaluation efforts to inform new ideas and guide intervention design Support the development and delivery of learning and dissemination materials, including reports, manuscripts, and other documentation Bachelor’s or Master’s in epidemiology, economics, biostatistics, or a related field with significant focus on quantitative skills (e.g., epidemiology and public/global health) with a strong understanding of inferential statistics). Minimum 5 years of applied work experience in resource-limited settings and/or a field requiring analytical problem-solving. Technical Skills Strong command of experimental, quasi-experimental study designs and qualitative research methods Experience in designing and implementing quantitative models and/or impact evaluation and/or qualitative research; fluency in concepts of statistical inference and data analysis Strong skills in quantitative modeling, data management, and statistical analysis using software like Stata/R Demonstrated experience with data collection workflows and platforms, such as SurveyCTO, Google sheets or similar tools Demonstrated experience with or involvement in the implementation of RCTs/Or quasi experimental or similar studies in India Experience piloting survey instruments, training data collectors, and leading field logistics for large-scale studies Stakeholder management and communication An ability to communicate complex concepts clearly and support the development of actionable recommendations for a range of audiences including Ministries of Health, global donors and policy makers Strong interpersonal skills, and an ability to navigate multi-cultural, multi-stakeholder situations collaboratively to achieve intended results Organization, time management and self-motivation Exceptional organizational skills and ability to approach complex problems in a structured manner Strong ability to work independently, to develop and execute work-plans, and to achieve specified goals with limited guidance and oversight in a fast-paced environment Demonstrated capacity to thrive in a work environment that requires effective balancing across parallel workstreams and deliverables Willingness to travel (at least 25%) to Bihar and Uttar Pradesh Last Date to Apply 27th July, 2025

Location: India Team: Data Science Report to: VP of Product, Data & Engineering About us: Founded in 2016, ELSA harnesses the power of generative AI to improve English communication skills globally with headquarters in San Francisco and offices in Lisbon, Tokyo, Jakarta, Singapore and Vietnam. With over 50 million users and 1 billion hours of anonymized data, our AI-driven language learning platform delivers hyper-personalized learning paths for both businesses and individuals, transforming lives and organizations through effective spoken English. ELSA is backed by leading investors including Gradient Ventures - Google’s A.I. fund, Monk's Hill Ventures and Global Ventures. Role & Responsibility: We are seeking a highly experienced and driven Director of Data to join our rapidly growing Data team. In this role, you will: Lead experimentation: Design and evaluate A/B tests, multivariate tests, and other causal frameworks to inform product and marketing decisions. Build a culture of learning: Champion a test-and-learn mindset across the company and enable others to generate hypotheses and iterate rapidly. Partner cross-functionally: Collaborate closely with Product, Marketing, B2B, Finance, Growth, and Engineering to frame questions, prioritize analysis, and deliver clear, actionable insights. Own data-driven decision-making: Develop and refine key metrics, define success criteria, and surface tradeoffs. Deliver insights: Conduct deep dives on user behavior, funnel conversion, retention, pricing, and feature adoption. Also, inform the business on insights for pipeline trends, learner behavior etc. Enable scale: Work hands-on with data pipelines, define experimentation frameworks, and contribute to analytics infrastructure. Requirements: 8+ years of experience in Data Science, Decision Science, or Analytics roles, ideally in consumer tech and SaaS. Proven experience running and analyzing experiments at scale (A/B testing, Bayesian methods, uplift modeling, etc.). Experience with GenAI. Strong SQL and Python (or R) skills; comfort with data modeling and visualization (e.g., dbt, Looker, Mode, Tableau). Deep understanding of statistics, causal inference, and hypothesis-driven analysis. A storyteller: can distill complex data into simple, compelling narratives that drive action. Prior leadership experience or readiness to build and lead a small but mighty team. English proficiency. Bonus: exposure to product analytics tools (e.g., Amplitude, Looker), marketing data, or growth analytics. Why join ELSA? Competitive compensation. Remote work. Free ELSA Premium courses to polish your language skills.

We are hiring a contract-based Computer Vision Engineer in Hyderabad, India to lead deep learning model development using PyTorch. The ideal candidate will design and deploy scalable computer vision pipelines focused on image and video analytics. This is a 6-month engagement to support real-time model deployment, optimization, and automation across cloud and edge platforms. Key Responsibilities 1. Deep Learning Model Development • Build and train state-of-the-art CV models using PyTorch for classification, detection (YOLO, Faster R-CNN), and segmentation (UNet, DeepLab) • Optimize data pipelines and preprocessing strategies for high-resolution image and video feeds • Fine-tune pre-trained models and manage custom model development based on project needs 2. Model Optimization & Deployment • Optimize models using ONNX, quantization, or TensorRT for cloud and edge deployment • Deploy real-time inference endpoints using containers (Docker/Kubernetes) and cloud services (Azure, AWS, GCP) • Maintain experiment tracking, model versioning, and deployment automation workflows 3. Data Engineering & Integration • Work with data engineers to build scalable data pipelines for ingestion and preprocessing • Integrate CV models into production systems and IoT environments (e.g., Jetson, Azure IoT) 4. Governance & Performance • Ensure AI workflows are secure, auditable, and production-ready • Apply model compression and tuning for performance at scale 5. Cross-functional Collaboration • Collaborate with DevOps, product teams, and ML engineers for seamless delivery • Document architectures and ensure knowledge transfer at project milestones Required Qualifications • Bachelor’s or Master’s in Computer Science, AI/ML, or a related technical field • 5+ years of experience in AI/ML with at least 2 years in deploying PyTorch-based CV models • Expertise in PyTorch, OpenCV, Python, Git, and deep learning model deployment • Familiarity with cloud platforms (Azure preferred), Docker/Kubernetes • Hands-on experience with model lifecycle tools (MLflow, W&B, DVC, etc.) Preferred Qualifications • Experience with edge AI platforms (Jetson, Coral, Azure Percept) • Knowledge of ONNX, TensorRT, or other optimization tools • Exposure to enterprise-grade security practices and MLOps workflows Contract Details • Duration: 6 months • Location: Hyderabad (Hybrid preferred; remote may be considered for exceptional candidates) • Compensation: Competitive, based on experience and expertise How to Apply Send your resume, portfolio (if available), and GitHub/LinkedIn profiles to: Info@primeverse.in Subject: Computer Vision Engineer – Hyderabad

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code. If making an impact and having a seat at the table is important to you, this is the opportunity for you. Join our small, rapidly-growing team at Quadric to develop supercomputer technology designed for the Edge. In this position, you will be a core member of our team, and will have an opportunity to grow in the company of expert technologists who also happen to be good people you’ll want to spend time with. What We Value: Integrity, Humility, Happiness What We Expect: Initiative, Collaboration, Completion Role: As a senior member of our platform software engineering team, you will be tasked with lowering and optimizing neural networks on the Quadric GPNPU. You will design and implement algorithmic optimizations to extract maximum performance out of the Quadric architecture. Responsibilities: Drive the lowering and optimization of cutting edge deep neural networks using Quadric’s technology Apply your skills and expertise in mathematical & algorithmic optimization toward solving NP-hard problems Collaborate within the software team to develop algorithms that optimize graph-based execution on the Quadric architecture Requirements MS or Ph.D. in Computer Science, or related field, with a minimum of eight years of experience in the industry Understanding of building application-appropriate heuristics for NP-hard problems Strong background in graphs and related algorithms Knowledge of front-end and back-end compiler techniques including code generation & optimization C++ & Python programming languages Experience in developing within TVM, MLIR or LLVM Benefits Provide competitive salaries and meaningful equity Provide a politics free community for the brilliant minds who want to make an immediate impact Provide an opportunity for you to build long term career relationships Foster an environment that allows for lasting personal relationships alongside professional one Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21. Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability.

Key Responsibilities Design, develop, and deploy deep learning models for image classification, object detection, segmentation, pose estimation, OCR, and related tasks. Work with large-scale datasets (images, videos, annotations), including data cleaning, augmentation, and preprocessing pipelines. Evaluate and fine-tune models using metrics like IoU, mAP, F1 score, and accuracy. Conduct research and experimentation with state-of-the-art architectures such as CNNs, Transformers (ViT, DETR), GANs, and self-supervised learning. Collaborate with cross-functional teams to integrate models into production pipelines (cloud/on-prem). Stay current with the latest advancements in computer vision and contribute to the company’s innovation roadmap. Develop tools for model explainability and performance monitoring in production environments. Required Qualifications B.Tech, Master’s or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or a related field. 3+ years of experience in developing and deploying deep learning models for computer vision tasks. Strong proficiency in Python and deep learning frameworks like PyTorch and TensorFlow. Hands-on experience with libraries such as OpenCV, Albumentations, MMDetection, Detectron2, or YOLOv5/8. Experience training and optimizing models on GPU clusters using distributed training (e.g., PyTorch Lightning, DDP). Familiarity with model deployment (ONNX, TensorRT, TorchScript) and serving (FastAPI, Flask, Triton Inference Server). Experience with annotation tools (e.g., CVAT, Labelbox) and data versioning tools (e.g., DVC, Weights & Biases). Strong understanding of computer vision metrics and evaluation protocols. Strong skillset in mathematical algorithmics and explainability of deep learning models and frameworks. Preferred Skills Knowledge of 3D vision, SLAM, multi-view geometry and YOLO. Experience working with video datasets and spatio-temporal models. Background in self-supervised or semi-supervised learning. Familiarity with MLOps pipelines and tools like MLflow, Kubeflow, or SageMaker Experience in a domain-specific application like medical imaging, aerial imagery, or autonomous vehicles. Why Join Us Work on impactful AI products at the cutting edge of computer vision. Collaborate with a world-class team of researchers and engineers. Access to state-of-the-art GPU infrastructure and training platforms. Flexible work environment with competitive compensation and benefits.

Following selection criteria will be strictly followed - Graduated in 2019 or before 5+ YOE in the industry, excluding any career breaks Should be able to join in 30 days once the offer letter is released Candidate should relocate to Noida SiteRecon is a B2B SaaS platform transforming property measurements for landscapers and snow removal contractors in the $176B US market. Using advanced AI on high-resolution aerial imagery, we’ve reduced measurement time from 1 week to 1 day, aiming for 1 hour with upcoming AI advancements. Role Overview We seek a skilled Applied ML Engineer to evaluate, enhance and/or transform our computer vision infrastructure from traditional CNN architectures to cutting-edge transformer-based models. This role demands expertise in model design, training, and optimization. You’ll have access to: A vast aerial imagery database (7 cm GSD) of 500,000+ properties across the U.S. since 2021. A team of 60 annotators mapping thousands of acres daily. A ready market of 350+ customers for immediate deployment. Powerful compute resources for rapid model training. This is a frontier challenge in computer vision and GIS. While solutions like Meta’s SAM offer basic raster segmentation, they lack the precision for creating high-fidelity, topologically consistent vectors essential for practical GIS applications. SAM struggles with occlusions (e.g., shadows, tree canopies) and produces "blobs" rather than architect-quality outputs. Our approach focuses on solving a constrained problem: using the world’s highest-resolution aerial imagery (7 cm) over U.S. urban areas with logical, repeatable patterns. By tackling this focused challenge, we aim to develop scalable templates to generalize automated extraction for broader GIS applications, similar to Waymo’s strategy in self-driving technology. Critical Skills We Value Most: Data Engineering Expertise : You've cleaned, augmented, and prepared messy real-world datasets Architecture Innovation : Experience with transformers, attention mechanisms, or novel segmentation approaches Production Mindset : You understand inference speed, memory constraints, and deployment realities Iteration Speed : Ability to rapidly prototype, test, and deploy model improvements Internal Adoption & Change Management : You've successfully deployed ML solutions that teams actually use in production workflows. You understand that technical excellence means nothing without user adoption - you'll work directly with our cartography team to ensure model outputs integrate seamlessly into daily operations and drive measurable productivity gains. What You Won't Be Doing: Using pre-trained APIs or off-the-shelf solutions Prompt engineering or LLM fine-tuning Research without clear business impact Why does this role matter? Every day without improved segmentation costs us real business opportunities. We need someone who moves fast, thinks systematically, and delivers production-ready improvements quickly. A little bit about us - We are helping property maintenance contractors in the US to automate property mapping and site visits through our mapping platform - https://order.siterecon.ai/ Join us to push the boundaries of machine vision in a high-impact domain. Hiring Manager - https://www.linkedin.com/in/innovationchef/ Drop a note to ankit@siterecon.ai if you want to discuss more about what you would be doing!

About Us Systango Technologies Limited (NSE: SYSTANGO) is a digital engineering company that offers enterprise-class IT and product engineering services to different size organizations. At Systango, we have a culture of efficiency - we use the best-in-breed technologies to commit quality at speed and world-class support to address critical business challenges. We leverage Gen AI, AI/Machine Learning and Blockchain to unlock the next stage of digitalization for traditional businesses. Our handpicked team is adept at web & enterprise development, mobile apps, QA and DevOps. Ulster University, Sila, Cuentas, Youtility, Porsche, MGM Grand, Deloitte, Grindr, and Tawk.to are some of the top clients that have entrusted us to enhance their digital capabilities and build disruptive innovations. We believe in making the impossible, Possible and we do it literally. About The Role We are looking for a highly skilled and experienced AI/ML Lead with deep technical expertise in machine learning, deep learning, and Generative AI. The ideal candidate will have a strong programming foundation in Python and hands-on experience with modern ML/DL frameworks, version control systems, and data pipeline tools. This role requires both individual contribution and leadership in driving AI initiatives, while effectively communicating with cross-functional teams and stakeholders. Key Responsibilities Lead the design, development, and deployment of ML/DL models for real-world applications. Apply advanced techniques such as ensemble learning, transformers, GANs, LSTMs, and reinforcement learning. Work across diverse domains like NLP, computer vision, or recommendation systems based on project needs. Build scalable APIs and services using Flask, Django, or FastAPI. Collaborate with data engineering teams to ensure data readiness for model training and evaluation. Evaluate and fine-tune models using techniques like cross-validation, hyperparameter tuning, and performance metrics. Drive GenAI adoption by leveraging LLM APIs for inference and contribute to LLM training and deployment (if applicable). Document solution architecture, workflows, and technical implementation details clearly. Mentor junior engineers and collaborate with product managers, data scientists, and other technical teams. Required Skills & Qualifications 6–9 years of hands-on experience in AI/ML and deep learning. Strong programming skills in Python and good understanding of object-oriented programming. Deep knowledge of neural networks including GANs, transformers, LSTMs, etc. Proficient in scikit-learn, pandas, NumPy, and frameworks like TensorFlow-Keras or PyTorch. Experience with version control tools such as Git and GitHub. Solid skills in data visualization tools like Matplotlib, Seaborn, or similar. Familiarity with SQL and NoSQL databases. Experience building RESTful APIs using Django, Flask, or FastAPI. Hands-on experience with GenAI models, especially using LLM APIs for inference. Good understanding of model evaluation techniques and performance metrics. Outstanding verbal and written communication skills, with the ability to clearly articulate complex technical topics. Preferred Qualifications Exposure to LLM training and deployment workflows. Experience with Big Data technologies such as Hadoop, Spark, etc. Certifications in AI/ML or cloud-based AI platforms (AWS, GCP, Azure). Experience in MLOps tools like MLflow, Kubeflow, or Weights & Biases (nice to have). Why Join Us? Be part of cutting-edge AI and GenAI product development. Work in a collaborative and innovation-driven environment. Lead high-impact projects with global exposure. Excellent growth opportunities and performance-driven culture.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Senior Product Manager Location: Bangalore Reporting to: Senior Manager – Product & Data Science Purpose of the role The Global TestOps Team at Anheuser-Busch InBev (AB InBev) is responsible for driving a culture of experimentation and A/B Testing, enabling teams to make data-driven decisions with confidence. By implementing the right experimentation frameworks, TestOps ensures that hypotheses are measured in an unbiased way, isolating the impact of decisions which can fuel business growth. The TestOps Product aims to bring this centralized framework to teams across different business domains, to seamlessly design and analyze experiments. By embedding experimentation into regular decision-making, the product empowers ABInBev to drive continuous improvement, reduce risk and accelerate growth through relevant insights. We are seeking a strategic and analytical Senior Product Manager to lead the evolution of the TestOps Experimentation Platform, ensuring that the product’s capabilities are expanded to meet user needs and drive adoption. The ideal candidate will collaborate with cross-functional teams to enhance platform functionality, streamline experimentation workflows, and embed a culture of test-and-learn across the organization. Key Responsibilities User Personas & User Journeys: Detail out user personas and map out user journeys to enable change management and user adoption. Voice of the Customer: Deeply understand the users and act as their advocate within the organization. Product Research: Conduct research within similar products to identify opportunities where our product can be improved. Feedback Analysis: Build and implement a process to incorporate iterative user feedback. Opportunity Sizing: Conduct opportunity sizing for all domains to determine their potential value impact. Product Roadmap Development: Build use case level product roadmaps and align these with leadership to ensure strategic alignment and goal setting. Product Marketing: Create personalized product marketing and collateral plans in conjunction with product releases to drive user adoption and engagement. Product Documentation: Create easy-to-understand guides and product tutorials for every major feature and functionality. Qualifications Level Of Educational Attainment Required Bachelorʼs degree in business, Economics, Engineering, or a related field; an MBA from top colleges in India is a plus. Previous Work Experience Proven experience of 6+ years as a Product Manager, with a track record of successfully bringing innovative products to market. Preferred Skills Proven ability to manage cross-functional teams and lead projects to completion. Understanding of change management principles and practices. Proficiency in creating and executing user adoption strategies. Strong strategic thinking and analytical skills, with the ability to make data-driven decisions. Strong stakeholder management skills - comfortable working with both technical and business teams. Strong problem-solving, communication, and storytelling abilities. Experience and Understanding of AB Testing, Causal Inference, and statistical experimentation. And above all of this, an undying love for beer! We dream big to create future with more cheers.

Overview: WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Responsibilities: Senior Software Architect – GPU Kernel Optimization & Distributed AI Systems THE TEAM: Join AMD’s high-impact team at the heart of innovation in AI, ML, and high-performance computing (HPC). We’re a collaborative group of software architects and GPU engineers focused on pushing the boundaries of AI model performance across distributed, GPU-accelerated platforms. Our work drives the next generation of AMD’s AI software stack, enabling large-scale machine learning training and inference workloads in data centers and enterprise environments. THE ROLE: As a Senior Software Developer, you will develop both GPU kernel-level optimization and distributed software efforts for large-scale AI workloads. This is a technical leadership role with direct influence over critical software components in AMD’s AI stack. You’ll architect and implement optimized compute kernels, guide software teams through the full product lifecycle, and work closely with internal and external partners to deploy scalable, high-performance solutions. THE PERSON: We’re looking for a highly skilled, deep systems thinker who thrives in complex problem domains involving parallel computing, GPU architecture, and AI model execution. You are confident leading software architecture decisions and know how to translate business goals into robust, optimized software solutions. You’re just as comfortable writing performance-critical code as you are guiding agile development teams across product lifecycles. Ideal candidates have a strong balance of low-level programming, distributed systems knowledge, and leadership experience—paired with a passion for AI performance at scale. KEY RESPONSIBILITIES: GPU Kernel Optimization : Develop and optimize GPU kernels to accelerate inference and training of large machine learning models while ensuring numerical accuracy and runtime efficiency. Multi-GPU and Multi-Node Scaling: Architect and implement strategies for distributed training/inference across multi-GPU/multi-node environments using model/data parallelism techniques. Performance Profiling: Identify bottlenecks and performance limitations using profiling tools; propose and implement optimizations to improve hardware utilization. Parallel Computing : Design and implement multi-threaded and synchronized compute techniques for scalable execution on modern GPU architectures. Benchmarking & Testing: Build robust benchmarking and validation infrastructure to assess performance, reliability, and scalability of deployed software. Documentation & Best Practices: Produce technical documentation and share architectural patterns, code optimization tips, and reusable components. PREFERRED EXPERIENCE: Software Team Leadership Collaboration with customers and business units to define deliverables and roadmaps. Interfacing with executive leadership on program progress and strategic planning. Experience in production-level software deployment (e.g., upstreaming to open source, commercial rollouts). Software Architecture Deep experience with GPU kernel optimization in C++12/17/20 . Working knowledge of frameworks such as PyTorch, vLLM, Cutlass, Kokkos . Practical expertise in CPU/GPU architecture and system-level performance tuning. Proficiency in Python scripting and infrastructure automation. Application of software design patterns and industry-standard engineering practices. GPU & Low-Level Optimization Hands-on experience with CUDA and low-level GPU programming. Kernel optimization in assembly and tight loops for latency-sensitive code. Proficiency with performance profiling tools (Nsight, VTune, Perf, etc.). Experience with distributed computing strategies in AI environments (multi-GPU, NCCL, MPI). Strong debugging, problem-solving, and performance tuning skills in complex systems. ACADEMIC CREDENTIALS: Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field. Advanced degrees or published work in HPC, GPU computing, or AI systems is a plus. #LI-NR1 Qualifications: Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Data Scientist II - Analytics At Expedia Group, our mission is to power global travel for everyone, everywhere. If you're passionate about creating exceptional customer experiences and thrive in a collaborative, fast-paced, high-growth environment, you’ll love being part of Expedia Group’s InsurTech team. In InsurTech, we empower travelers around the world with confidence to book, peace of mind, and protection when the unexpected happens—through an innovative portfolio of customer-centric, risk-based products. We’re looking for an exceptional Data Scientist II, Analytics to join our team. If you have a strong analytical mindset, a strategic approach, and a bias for action, this is your opportunity to make a real impact. In this role, you’ll collaborate closely with product partners to optimize and launch best-in-class insurance and FinTech products. This is an exciting opportunity to join a dynamic, international team where data is at the heart of every decision, and customer centricity drives everything we do. What you will do: Collaborate with product teams to harness data from diverse sources—uncovering new product opportunities or identifying friction points in existing experiences. Translate insights into actionable strategies that drive product innovation and enhancement. Design and execute A/B tests to rigorously evaluate product performance and feature improvements. Quantify outcomes into clear financial impact, and perform in-depth analysis to extract insights that inform the next iteration of development. Define, track, and visualize key metrics through intuitive dashboards to enable real-time business monitoring. Proactively surface metric shifts and conduct root-cause analyses to identify underlying drivers. Deliver impactful product and customer insights to cross-functional stakeholders, empowering leadership and product teams to make informed, data-driven decisions. Support product roadmap planning and go-to-market (GTM) strategy by providing analytical guidance and strategic recommendations that align with business objectives and customer needs. Who you are: Must Have: Educational Background : Bachelor’s degree (or equivalent) in Statistics, Mathematics, Economics, Data Science, or a related field. Experience : 2+ years of analytics experience with a focus on product analytics and measurements. Technical Expertise : Strong proficiency in big data tools (SQL, Python, Databricks, AWS, etc.) for working with large, complex datasets. Cross-functional Collaboration : Proven track record of collaborating with teams across Product, Finance, and other departments to integrate data insights into business strategies. Problem-Solving & General Management : Strong analytical, problem-solving, and leadership skills to manage complex initiatives and cross-functional relationships. Good to Have: Advanced Analytical Skills : Expertise in experimentation, causal inference, and advanced analytics, including the ability to dive deeper into A/B test data beyond statistical significance. Economic Modeling : Knowledge of economic modeling techniques such as price elasticity and time series analysis is beneficial. Multivariate Analysis : Familiarity with regression, classification, and other multivariate analysis methods. Machine Learning Models : Exposure to machine learning models such as recommendations, multi-armed bandit algorithms, or reinforcement learning Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. India - Haryana - Gurgaon Technology Full-Time Regular 06/26/2025 ID # R-96322

About Us: Systango Technologies Limited (NSE: SYSTANGO) is a digital engineering company that offers enterprise-class IT and product engineering services to different size organizations. At Systango, we have a culture of efficiency - we use the best-in-breed technologies to commit quality at speed and world-class support to address critical business challenges. We leverage Gen AI, AI/Machine Learning and Blockchain to unlock the next stage of digitalization for traditional businesses. Our handpicked team is adept at web & enterprise development, mobile apps, QA and DevOps. Ulster University, Sila, Cuentas, Youtility, Porsche, MGM Grand, Deloitte, Grindr, and Tawk.to are some of the top clients that have entrusted us to enhance their digital capabilities and build disruptive innovations. We believe in making the impossible, Possible and we do it literally. About the Role: We are looking for a highly skilled and experienced AI/ML Lead with deep technical expertise in machine learning, deep learning, and Generative AI. The ideal candidate will have a strong programming foundation in Python and hands-on experience with modern ML/DL frameworks, version control systems, and data pipeline tools. This role requires both individual contribution and leadership in driving AI initiatives, while effectively communicating with cross-functional teams and stakeholders. Key Responsibilities: Lead the design, development, and deployment of ML/DL models for real-world applications. Apply advanced techniques such as ensemble learning, transformers, GANs, LSTMs , and reinforcement learning . Work across diverse domains like NLP, computer vision , or recommendation systems based on project needs. Build scalable APIs and services using Flask , Django , or FastAPI . Collaborate with data engineering teams to ensure data readiness for model training and evaluation. Evaluate and fine-tune models using techniques like cross-validation, hyperparameter tuning , and performance metrics. Drive GenAI adoption by leveraging LLM APIs for inference and contribute to LLM training and deployment (if applicable). Document solution architecture, workflows, and technical implementation details clearly. Mentor junior engineers and collaborate with product managers, data scientists, and other technical teams. Required Skills & Qualifications: 6–9 years of hands-on experience in AI/ML and deep learning. Strong programming skills in Python and good understanding of object-oriented programming . Deep knowledge of neural networks including GANs, transformers, LSTMs , etc. Proficient in scikit-learn, pandas, NumPy , and frameworks like TensorFlow-Keras or PyTorch . Experience with version control tools such as Git and GitHub . Solid skills in data visualization tools like Matplotlib , Seaborn , or similar. Familiarity with SQL and NoSQL databases . Experience building RESTful APIs using Django , Flask , or FastAPI . Hands-on experience with GenAI models, especially using LLM APIs for inference. Good understanding of model evaluation techniques and performance metrics. Outstanding verbal and written communication skills, with the ability to clearly articulate complex technical topics. Preferred Qualifications: Exposure to LLM training and deployment workflows. Experience with Big Data technologies such as Hadoop, Spark , etc. Certifications in AI/ML or cloud-based AI platforms (AWS, GCP, Azure). Experience in MLOps tools like MLflow, Kubeflow, or Weights & Biases (nice to have). Why Join Us? Be part of cutting-edge AI and GenAI product development. Work in a collaborative and innovation-driven environment. Lead high-impact projects with global exposure. Excellent growth opportunities and performance-driven culture.

Job Description As the Regional Data Center Sales Lead, you will be responsible for driving Nokia's data center sales in the region, as well as the assigned regional accounts to position Nokia’s DCN solutions. You will play a crucial influential role in expanding our APAC market share, working with regional BU, presales and channel teams to cover new opportunities. You will also play a visible role contributing to the regional DC practice and help develop and design medium-to-long DCN strategy as a part of Nokia’s global initiatives and be given the opportunities to work with peers in Europe, Middle East, and Asia Pacific (EMA) region. Nokia is recognized as a Visionary in 2025 Gartner ® Magic Quadrant ™ for Data Center Switching: Nokia solution recognized for Completeness of Vision and Ability to Execute in new research published by Gartner Nokia data center switching solutions are designed to deliver the superior reliability, ease-of-use and adaptability required for modern data center operations Microsoft, CoreWeave, Nscale, Equinix and many more customers have deployed Nokia’s Data Center Switching Solutions as a part of their networking infrastructure to scale HPC/AI workloads How You Will Contribute And What You Will Learn Develop and execute sales strategies to grow Nokia's DC Networking business in the Webscale and Enterprise markets, and be the sales expertise focusing on the area of Data Center Fabric (DCF), Data Center Gateway (DCGW) and Software Automation solutions Educate and work closely with webscale, cloud providers, AI/HPC service providers and enterprise customers in your prime region and assigned strategic global/regional accounts Experienced sales professional who has demonstrated consultation and empathy, and has track records of selling and delivering similar DCGW/DCF solutions as Nokia’s competitor(s), Nokia’s partner(s) or Nokia’s customer(s) Collaborate with cross-functional teams to develop differentiated value propositioning against our competitors (e.g. Juniper, Cisco, Arista, Nvidia, etc.) Represent Nokia at DC related industry events (e.g. xNOG) and develop Nokia’s branding in DCN Own and manage sales opportunities via CRM and provide feedbacks to ensure sales offers are technically and commercially competitive Closely monitor market and technology trends, and proven ability to continuously learn new DC-related technologies and related solutions Ability to travel regionally up to 40% of the time, mostly within Asia Key Skills And Experience You have: Over 10 years of experience in the networking industry, specializing in data center switching and routing technologies that support cloud services, AI/ML training, and inference requirements. Proven track record spanning more than a decade in sales hunting, new account acquisition, and/or presales roles at major networking companies, serving clients such as major cloud providers, internet service providers, XaaS providers, large enterprises, and hyperscalers. In-depth understanding of networking infrastructure requirements across various verticals, including Webscale, Enterprise, Financial, and Government sectors, along with cross-domain knowledge in areas like compute, storage, databases, virtualization, and security. Extensive experience, exceeding 10 years, in both direct sales and indirect sales through partners and distributors. Strong technical expertise in data center architectures and emerging technologies, encompassing software automation and tooling (DevOps, CI/CD), open-source technologies, pluggable technologies, data center operations knowledge, vendor data center reference designs, and familiarity with the data center networking ecosystem. Exceptional communication skills, with a strong inclination towards knowledge sharing and relationship building. Bachelor's degree in computer science, Engineering, or a related field; an advanced degree is preferred. It would be nice if you also have: Familiarity with network automation tools and scripting languages such as Python, Ansible, or similar, to streamline network operations. Experience with cloud networking solutions and services, including but not limited to AWS, Azure, or Google Cloud Platform. About Us Come create the technology that helps the world act together Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world. We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work What we offer Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered. Nokia is committed to inclusion and is an equal opportunity employer Nokia has received the following recognitions for its commitment to inclusion & equality: One of the World’s Most Ethical Companies by Ethisphere Gender-Equality Index by Bloomberg Workplace Pride Global Benchmark At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect. Join us and be part of a company where you will feel included and empowered to succeed.

Job Summary We are looking for a highly skilled Technical Architect with expertise in AWS, Generative AI, AI/ML, and scalable production-level architectures. The ideal candidate should have experience handling multiple clients, leading technical teams, and designing end-to-end cloud-based AI solutions with an overall experience of 9-12 years. This role involves architecting AI/ML/GenAI-driven applications, ensuring best practices in cloud deployment, security, and scalability while collaborating with cross-functional teams. Key Responsibilities Technical Leadership & Architecture Design and implement scalable, secure, and high-performance architectures on AWS for AI/ML applications. Architect multi-tenant, enterprise-grade AI/ML solutions using AWS services like SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions. Lead full lifecycle development of AI/ML/GenAI solutions—from PoC to production—ensuring reliability and performance. Define and implement best practices for MLOps, DataOps, and DevOps on AWS. AI/ML & Generative AI Expertise Design Conversational AI, RAG (Retrieval-Augmented Generation), and Generative AI architectures using models like Claude (Anthropic), Mistral, Llama, and Titan. Optimize LLM inference pipelines, embeddings, vector search, and hybrid retrieval strategies for AI-based applications. Drive ML model training, deployment, and monitoring using AWS SageMaker and AI/ML pipelines. Cloud & Infrastructure Management Architect event-driven, serverless, and microservices architectures for AI/ML applications. Ensure high availability, disaster recovery, and cost optimization in cloud deployments. Implement IAM, VPC, security best practices, and compliance. Team & Client Engagement Lead and mentor a team of ML engineers, Python Developer and Cloud Engineers. Collaborate with business stakeholders, product teams, and multiple clients to define requirements and deliver AI/ML/GenAI-driven solutions. Conduct technical workshops, training sessions, and knowledge-sharing initiatives. Multi-Client & Business Strategy Manage multiple client engagements, delivering AI/ML/GenAI solutions tailored to their business needs. Define AI/ML/GenAI roadmaps, proof-of-concept strategies, and go-to-market AI solutions. Stay updated on cutting-edge AI advancements and drive innovation in AI/ML offerings. Key Skills & Technologies Cloud & DevOps AWS Services: Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, ECS, Fargate, OpenSearch, RDS MLOps: SageMaker Pipelines, CI/CD (CodePipeline, GitHub Actions, Terraform, CDK) Security: IAM, VPC, CloudTrail, GuardDuty, KMS, Cognito AI/ML & GenAI LLMs & Generative AI: Bedrock (Claude, Mistral, Titan), OpenAI, Llama ML Frameworks: TensorFlow, PyTorch, LangChain, Hugging Face Vector DBs: OpenSearch, Pinecone, FAISS RAG Pipelines, Prompt Engineering, Fine-tuning Software Architecture & Scalability Serverless & Microservices Architecture API Design & GraphQL Event-Driven Systems (SNS, SQS, EventBridge, Step Functions) Performance Optimization & Auto Scali

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Data Scientist II - Analytics At Expedia Group, our mission is to power global travel for everyone, everywhere. If you're passionate about creating exceptional customer experiences and thrive in a collaborative, fast-paced, high-growth environment, you’ll love being part of Expedia Group’s InsurTech team. In InsurTech, we empower travelers around the world with confidence to book, peace of mind, and protection when the unexpected happens—through an innovative portfolio of customer-centric, risk-based products. We’re looking for an exceptional Data Scientist II, Analytics to join our team. If you have a strong analytical mindset, a strategic approach, and a bias for action, this is your opportunity to make a real impact. In this role, you’ll collaborate closely with product partners to optimize and launch best-in-class insurance and FinTech products. This is an exciting opportunity to join a dynamic, international team where data is at the heart of every decision, and customer centricity drives everything we do. What You Will Do Collaborate with product teams to harness data from diverse sources—uncovering new product opportunities or identifying friction points in existing experiences. Translate insights into actionable strategies that drive product innovation and enhancement. Design and execute A/B tests to rigorously evaluate product performance and feature improvements. Quantify outcomes into clear financial impact, and perform in-depth analysis to extract insights that inform the next iteration of development. Define, track, and visualize key metrics through intuitive dashboards to enable real-time business monitoring. Proactively surface metric shifts and conduct root-cause analyses to identify underlying drivers. Deliver impactful product and customer insights to cross-functional stakeholders, empowering leadership and product teams to make informed, data-driven decisions. Support product roadmap planning and go-to-market (GTM) strategy by providing analytical guidance and strategic recommendations that align with business objectives and customer needs. Who You Are Must Have: Educational Background: Bachelor’s degree (or equivalent) in Statistics, Mathematics, Economics, Data Science, or a related field. Experience: 2+ years of analytics experience with a focus on product analytics and measurements. Technical Expertise: Strong proficiency in big data tools (SQL, Python, Databricks, AWS, etc.) for working with large, complex datasets. Cross-functional Collaboration: Proven track record of collaborating with teams across Product, Finance, and other departments to integrate data insights into business strategies. Problem-Solving & General Management: Strong analytical, problem-solving, and leadership skills to manage complex initiatives and cross-functional relationships. Good To Have Advanced Analytical Skills: Expertise in experimentation, causal inference, and advanced analytics, including the ability to dive deeper into A/B test data beyond statistical significance. Economic Modeling: Knowledge of economic modeling techniques such as price elasticity and time series analysis is beneficial. Multivariate Analysis: Familiarity with regression, classification, and other multivariate analysis methods. Machine Learning Models : Exposure to machine learning models such as recommendations, multi-armed bandit algorithms, or reinforcement learning Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About YUBI Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfilment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India’s fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All 5 of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Loans – Term loans and working capital solutions for enterprises. Yubi Invest – Bond issuance and investments for institutional and retail participants. Yubi Pool– End-to-end securitisations and portfolio buyouts. Yubi Flow – A supply chain platform that offers trade financing solutions. Yubi Co.Lend – For banks and NBFCs for co-lending partnerships. Currently, we have boarded over 4000+ corporates, 350+ investors and have facilitated debt volumes of over INR 40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionising the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 650+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. Responsibilities: Develop and enhance the ML platform to standardise model development and deployment workflows. Create reusable components to streamline the Data Science team's efforts and expedite the model lifecycle. Integrate models seamlessly with various products and systems. Implement robust logging and instrumentation for monitoring scoring requests for models in production. Establish systems for continuous model monitoring and trigger mechanisms for retraining based on performance metrics. Design and build A/B testing frameworks with support for canary deployments and shadow models to evaluate different model versions. Integrate data pipelines necessary for model retraining and update activities in production. Scale training and inference capabilities using standardised environment setups and deployment strategies. Incorporate open-source frameworks and proprietary tools into the MLOps pipeline to achieve development goals. Prototype and evaluate different open-source frameworks to identify optimal technology stacks for the pipeline. Focus on CI/CD pipeline integration for models and ensure seamless deployments in various environments. Requirements Overview: We are seeking a DevOps Engineer who excels in managing and automating cloud infrastructure, container orchestration, and deployment pipelines while possessing a solid understanding of software development practices. In this role, you will focus on creating robust, scalable infrastructure solutions, automating environments, and supporting application deployments. Key Responsibility Design, build, and maintain containerized environments using Docker and Kubernetes. Develop, deploy, and monitor applications and services within cloud environments (AWS(preferable), Azure, GCP). Automate infrastructure provisioning and configuration management using popular scripting languages (Python, Bash, etc.). Collaborate with development teams to support application deployment pipelines and integrate CI/CD practices. Debug and troubleshoot issues in production systems, ensuring high availability and performance. Implement monitoring, logging, and alerting mechanisms to proactively manage system health. Evaluate open-source and commercial tooling to optimize infrastructure and deployment workflows. Assist Data Science or development teams with setting up environments for experimentation and production deployment. Required Experience & Expertise: 1-3+ years of experience in DevOps, infrastructure management, or related fields with a strong emphasis on automation and containerization. Extensive hands-on experience with Docker and Kubernetes for building and managing containerized applications. Proficient programming and scripting skills, preferably in Python, with the ability to develop automation scripts and tools. Solid understanding of public cloud infrastructure (AWS(preferable), Azure, GCP) and associated services. Experience setting up and managing CI/CD pipelines and integrating configuration management tools. Strong problem-solving skills, with the ability to analyse complex issues and provide effective solutions. Exposure to deploying and monitoring applications in production environments. Familiarity with infrastructure-as-code (IaC) frameworks such as Terraform or CloudFormation is a plus. Preferred Qualifications: Background or exposure to Data Science related deployments or applications. Ability to work collaboratively in a fast-paced, cross-functional team environment. Experience evaluating and adopting new technologies and methodologies to streamline DevOps processes.

Role: Sr. AI Engineer - Gen AI We are looking for a high-energy tech-savvy individual for the role of Senior AI Engineer- GenAI at Eucloid. The candidate will solve complex problems, picking up new technologies and working at the cutting edge of innovation. The candidate is expected to lead following work-streams: • Develop and optimize Python applications for AI-driven products • Build and integrate LLM-based applications with structured and unstructured data • Work with large datasets, AI pipelines, and model inference APIs • Collaborate with AI researchers and engineers to translate ideas into production-ready solutions • Stay ahead of emerging AI technologies and contribute to continuous innovation Ideal candidate will have following Background and Skills: • Undergraduate Degree in any quantitative discipline such as engineering, science or economics from a Top-Tier institution. • 7+ years of experience in Python-based product development • Strong foundation in data structures, algorithms, and system design • Proven problem-solving ability – you love tackling complex technical challenges • Hands-on experience with APIs, backend development, and cloud platforms (AWS/GCP/Azure) • Experience in AI, ML, or NLP is a bonus, but a strong aptitude to learn AI frameworks quickly is what matters most • Exposure to LangChain, OpenAI APIs, or vector databases (advantageous, but not mandatory) The role offers a very attractive compensation (Base + Bonus) and is based out of Chennai. Please reach out to chandershekhar.verma@eucloid.com if you want to apply.

About the Role We’re looking for top-tier AI/ML Engineers with 6+ years of experience to join our fast-paced and innovative team. If you thrive at the intersection of GenAI, Machine Learning, MLOps, and application development, we want to hear from you. You’ll have the opportunity to work on high-impact GenAI applications and build scalable systems that solve real business problems. Key Responsibilities Design, develop, and deploy GenAI applications using techniques like RAG (Retrieval Augmented Generation), prompt engineering, model evaluation, and LLM integration. Architect and build production-grade Python applications using frameworks such as FastAPI or Flask. Implement gRPC services, event-driven systems (Kafka, PubSub), and CI/CD pipelines for scalable deployment. Collaborate with cross-functional teams to frame business problems as ML use-cases — regression, classification, ranking, forecasting, and anomaly detection. Own end-to-end ML pipeline development: data preprocessing, feature engineering, model training/inference, deployment, and monitoring. Work with tools such as Airflow, Dagster, SageMaker, and MLflow to operationalize and orchestrate pipelines. Ensure model evaluation, A/B testing, and hyperparameter tuning is done rigorously for production systems. Must-Have Skills Hands-on experience with GenAI/LLM-based applications – RAG, Evals, vector stores, embeddings. Strong backend engineering using Python, FastAPI/Flask, gRPC, and event-driven architectures. Experience with CI/CD, infrastructure, containerization, and cloud deployment (AWS, GCP, or Azure). Proficient in ML best practices: feature selection, hyperparameter tuning, A/B testing, model explainability. Proven experience in batch data pipelines and training/inference orchestration. Familiarity with tools like Airflow/Dagster, SageMaker, and data pipeline architecture.