Job Title: Tech S and T-AI Engineer-ISR-Senior-GDSF02 Company: EY Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities * Lead and execute AI/ML assessments to evaluate current\-state analytics, automation, and AI maturity across client organizations. * Design and drive AI transformation roadmaps aligned with business objectives, identifying opportunities for predictive analytics, intelligent automation, and Generative AI adoption. * Architect and implement AI/ML solutions leveraging traditional machine learning, NLP, computer vision, and Generative AI technologies. * Build and optimize machine learning pipelines, model training workflows, feature engineering processes, and deployment architectures. * Design and implement Generative AI solutions using Large Language Models (LLMs), Retrieval\-Augmented Generation (RAG), AI Agents, and enterprise AI frameworks. * Work closely with business stakeholders to gather requirements, define use cases, prioritize opportunities, and establish measurable success criteria. * Lead proof\-of\-concepts (PoCs), pilots, and production deployments while ensuring scalability, security, and governance compliance. * Develop technical documentation including architecture diagrams, implementation plans, AI solution blueprints, and operational runbooks. * Collaborate with cloud, security, application, and data engineering teams to ensure successful solution delivery. * Stay current with emerging AI technologies, frameworks, and best practices, and provide strategic recommendations to clients. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior AI/ ML Engineer Company: Sandisk Job Category: Machine Learning Roles & Responsibilities: Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry\-leading portfolio of products that are recognized globally for innovation, performance and quality. Description We are seeking a Senior AI/ML Engineer in Data and AI team to drive the design, development, and operationalization of machine learning and GenAI solutions across Sandisk's enterprise. In this role, you will own end\-to\-end AI/ML projects, from problem framing and data strategy through model deployment and monitoring. You will partner directly with business stakeholders to translate complex requirements into scalable, production\-grade solutions and mentor junior engineers on the team. Key Responsibilities * Lead the end\-to\-end design, development, and deployment of machine learning models and GenAI solutions for manufacturing intelligence, yield optimization, supply chain analytics, and enterprise data platforms. * Architect and implement data pipelines, feature stores, and model serving infrastructure on Lakehouse and cloud\-native architectures (Databricks, Azure). * Develop prompt engineering strategies and feedback loops for LLM optimization; capture and normalize LLM interactions into reusable Knowledge Artifacts. * Implement Retrieval\-Augmented Generation (RAG) pipelines, including document parsing, chunking, vectorization, and semantic search using embeddings and vector databases. Support domain\-specific ontologies, taxonomies governance and versioning. * Design agentic workflows using industry\-standard frameworks for autonomous task orchestration and multi\-step reasoning, with safe and controlled execution via constraints, policies, and fallback paths. * Collaborate with cross\-functional teams to define KPIs, success metrics, and business impact measurements for AI/ML initiatives. * Mentor intermediate and junior engineers; conduct code reviews and establish best practices for ML engineering. * Present technical findings and strategic recommendations to senior leadership, distilling complex results into actionable business insights. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: DATA SCIENTIST Company: TE Connectivity Job Category: Machine Learning Roles & Responsibilities: We are looking for a Data Scientist who can solve business problems using Machine Learning, Statistical Modeling, and Generative AI. The role involves partnering with business stakeholders to identify opportunities, developing AI/ML solutions, building production\-grade models, and driving measurable business impact across areas such as manufacturing, supply chain, forecasting, quality, customer service, and enterprise productivity. Roles \& Responsibility: ---------------------------- * Design, develop, and deploy predictive and prescriptive analytics solutions. * Apply machine learning techniques including regression, classification, clustering, anomaly detection, forecasting, and optimization. * Conduct exploratory data analysis, feature engineering, and model evaluation. * Build scalable ML pipelines and monitor model performance. * Develop GenAI solutions using LLMs and foundation models. * Build RAG (Retrieval Augmented Generation) applications using vector databases and embeddings. * Utilize frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, or similar agentic AI frameworks. * Evaluate and optimize prompts, retrieval strategies, and model performance. * Work with structured and unstructured data from enterprise systems. * Build data pipelines using SQL, Azure Data Factory, Databricks, or similar technologies. * Develop and deploy solutions on Azure, AWS, or cloud\-native platforms. * Collaborate with engineering teams to productionize AI solutions. * Translate business challenges into analytical frameworks and AI solutions. * Present insights and recommendations to stakeholders and leadership. * Drive adoption of AI solutions and measure business impact. TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next\-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more. Work Location: Karnataka, India Availability: Full time
Job Title: Expert Machine Learning Engineer (Agentic AI, SAP BTP) Company: SAP Job Category: Machine Learning Roles & Responsibilities: As a critical part of SAP’s AI Transformation journey, the mission of the CPIT Order\-to\-Cash (O2C) Team is to drive the implementation of the company’s strategy and achievement of shared business objectives through world class end\-to\-end business processes and systems. Amongst the team’s key objectives are to innovate, standardize, simplify, and automate SAP’s core business processes and assure continuous alignment with the SAP IT portfolio and business stakeholders. In all activities, closing the loop from strategy to execution is key to driving impact for SAP and for our customers. About The Role We are looking for an Expert AI/Agentic Engineer who combines deep hands\-on engineering excellence with a strong architectural mindset. You will design, build, and operate enterprise\-grade AI/ML and Generative AI solutions within the SAP ecosystem \- spanning intelligent assistants, AI copilots, agentic workflows, and RAG\-powered applications. You are first and foremost an engineer who writes production\-quality code, and you bring the architectural thinking to ensure what you build scales, performs, and lasts. You will work at the intersection of cutting\-edge AI engineering and SAP's technology landscape, contributing to systems that deliver measurable business impact. What You Will Do AI/GenAI Engineering \& Architecture * Design and build scalable LLM\-powered applications, intelligent assistants, and AI copilots aligned to business transformation goals. * Architect and implement advanced RAG pipelines, knowledge retrieval systems, and agentic / multi\-agent workflows using commercial and open\-source models. * Write clean, well\-tested, production\-grade code across the full AI application stack \- from data ingestion and embedding pipelines to orchestration logic, API layers, and evaluation harnesses. * Integrate vector databases, semantic search, prompt orchestration, tool/function calling, memory, and context\-aware reasoning into enterprise\-grade solutions. * Optimize prompts, inference pipelines, and evaluation frameworks; contribute to fine\-tuning, alignment, and model optimization efforts. * Independently design scalable, AI\-native application systems \- moving quickly from ambiguity to working, deployable prototypes and iterating through execution. SAP Ecosystem Integration * Build agentic workflows on SAP AI Core and integrate LLM\-based features into CAP /Fiori applications with strong coding standards and maintainability. * Design and implement AI agents for enterprise domains \- including formula explanation, computation assistance, and analytical workflows \- using SAP AI Core and Python as the primary stack; CAP/Java as secondary. * Contribute to the design of ontology\-grounded agents that encode business rules, formula structures, and domain relationships as structured knowledge, enabling reliable agent reasoning beyond prompt\-only approaches. * Architect and deploy solutions on SAP BTP, with hands\-on experience in multi\-tenant SaaS patterns (MTX, service\-manager, IAS/AMS). * Knowledge of SAP Business Data Cloud (BDC) \- including data products, HANA Data Lake, Delta Sharing, and the semantic layer \- is a strong advantage. Platform, LLMOps \& Observability * Establish and implement LLMOps practices covering deployment, monitoring, observability, governance, and guardrails \- with hands\-on implementation, not just design. * Instrument OTEL tracing across microservice fleets and build Cloud Logging dashboards for cross\-service visibility. * Optimize latency, throughput, and cost efficiency \- including HANA Cloud query optimization and AI Core inference cost management. * Apply SRE principles in practice: monitoring, alerting, incident response, and root cause analysis. * Build and own evaluation and benchmarking frameworks that measure AI system quality, reliability, and performance \- including domain\-specific test harnesses validating LLM outputs against known good results. Research, Innovation \& Collaboration * Contribute to PoCs, accelerators, and reusable AI solution ; actively participate in innovation incubation. * Support publication of technical white papers and assets; contribute to patent ideation where applicable. * Partner with platform, data, product, and business teams to design robust, production\-ready solutions. * Mentor junior engineers, conduct rigorous code reviews, and raise the engineering bar across the team. Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end\-to\-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose\-driven and future\-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Requisition ID: 459241 \| Work Area: Software\-Design and Development \| Expected Travel: 0 \- 10% \| Career Status: Professional \| Employment Type: Regular Full Time \| Additional Locations: Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Manager AI/ML Engineering Company: Optum India Job Category: Machine Learning Roles & Responsibilities: Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities * Design, develop, and deploy advanced GenAI and NLP solutions to solve complex business and healthcare problems, using state‑of‑the‑art transformer models, LLMs, and modern ML frameworks * Lead research, evaluation, and integration of new LLMs (GPT, Claude, Gemini, Anthropic), vector search technologies, prompt‑engineering techniques, and enterprise GenAI platforms * Build and optimize Retrieval‑Augmented Generation (RAG) systems using vector databases (FAISS, Pinecone, Chroma), improving grounding, retrieval accuracy, and overall system reliability * Architect and implement agentic AI workflows using frameworks like LangGraph, AutoGen, CrewAI, or Semantic Kernel, enabling single‑agent and multi‑agent systems for reasoning, planning, and tool‑calling * Drive the development of high‑quality NLP pipelines\-including tokenization, embeddings, seq‑to‑seq models, evaluation metrics, and domain adaptation\-with a focus on performance, scalability, and robustness * Perform advanced data analysis, preprocessing, and feature engineering to ensure data quality, reduce noise, and improve model reliability * Develop and maintain scalable big‑data pipelines for ingestion, processing, and analysis, working with structured and unstructured datasets * Optimize model inference, latency, and throughput, including integration with LLM gateways, guardrails, filters, and enterprise evaluation frameworks * Scientist Responsibilities: (manager discretion if AI responsibilities are already present in JD): + Collaborate with research, engineering, and product teams to translate cutting\-edge AI advancements into production\-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle * Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re\-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Staff Software Engineer Company: Experity Job Category: Machine Learning Roles & Responsibilities: We are looking for a Staff Software Engineer, RCM AI Automation \& Platform to provide technical leadership and help shape the next generation of Experity’s RCM technology. In this role, you will lead the design and evolution of platform capabilities spanning multiple RCM workflows , including backend services, APIs, integrations, event\-driven and long\-running workflows, configurable business rules, data, and AI\-enabled automation supporting charge entry, claims processing, claim submission, rejection and denial resolution, payments, and other parts of the revenue cycle. You will work closely with Product Managers, RCM Operations, Software Engineers, Architects, Data teams, and QA to translate complex healthcare business workflows into scalable, maintainable software solutions. ### Architecture \& Technical Leadership * Define and evolve the technical architecture for RCM automation capabilities spanning multiple products, services, workflows, and integrations. * Lead technical design for complex, high\-impact initiatives where requirements, system boundaries, or implementation approaches may initially be ambiguous. * Establish reusable patterns for workflow orchestration, state management, business rules, integrations, event processing, AI\-enabled automation, observability, and failure recovery. * Identify where capabilities should become reusable platform services versus remaining workflow\- or product\-specific implementations. * Drive technical decisions across service boundaries and work with architects and engineering teams to ensure solutions fit Experity's broader platform architecture. * Evaluate architectural tradeoffs involving scalability, reliability, maintainability, security, cost, speed of delivery, and operational complexity. * Reduce unnecessary technical complexity and prevent one\-off solutions from becoming long\-term platform liabilities. * Design, develop, test, deploy, and operate scalable production software supporting Experity’s Revenue Cycle Management workflows. * Build backend services and REST APIs using TypeScript, Node.js, and cloud\-native technologies. * Contribute to modern web applications when needed using technologies such as React, Next.js, and TypeScript. * Design and implement event\-driven, queue\-based, and asynchronous workflows with explicit state management, retries, redrive, exception handling, idempotency, and auditability. * Design long\-running RCM workflows that support state transitions, human\-in\-the\-loop processing, exception handling, replay/recovery, workflow versioning, and compensation or reversal when appropriate. * Ensure workflow designs can evolve across multiple RCM use cases without creating tightly coupled or duplicated implementations. * Build integrations with Experity applications, healthcare clearinghouses, payer systems, and third\-party RCM services. * Design reliable interfaces for claims, payment, eligibility, rejection, denial, and other healthcare transaction workflows. * Define integration patterns and contracts that improve consistency, resilience, traceability, and reuse across RCM systems. * Develop configurable business rules and workflow capabilities that replace logic currently distributed across application code, spreadsheets, and operational processes. * Build rules and workflow capabilities that are configurable, versioned, explainable, auditable, and safe to change without introducing unnecessary application dependencies. * Guide the architecture of reusable rules, workflow, and exception\-management capabilities rather than embedding business logic independently within individual services. * Work with claims, financial, and operational data to improve automation, identify exceptions, and measure business outcomes. * Integrate Generative AI, LLMs, agents, retrieval, and machine learning capabilities where they provide measurable value, while using deterministic software and business rules where those approaches are more appropriate. * Build AI\-enabled capabilities using clearly defined tools, APIs, contracts, permissions, validation, evaluation, observability, and fallback paths rather than treating LLMs as standalone solutions. * Define architectural patterns for safely incorporating AI agents into production RCM workflows, including tool boundaries, authorization, human\-in\-the\-loop controls, deterministic guardrails, evaluation, fallback behavior, and auditability. * Help teams determine where AI adds measurable value and where conventional software, workflow orchestration, rules, or machine learning are more appropriate. * Drive reusable AI integration patterns so individual teams do not independently create incompatible agent, tool, retrieval, or evaluation architectures. * Use modern AI\-assisted software development practices for codebase exploration, development, testing, debugging, documentation, and engineering productivity while maintaining appropriate engineering review and quality standards. * Build observability, automated testing, security, operational controls, and failure recovery into software from the beginning. * Design systems with healthcare security, PHI protection, least\-privilege access, auditability, and safe operational logging in mind. * Define reliability and observability standards across RCM services and workflows, including traceability across asynchronous and distributed processing. * Lead technical investigation of complex production issues that cross application, integration, data, infrastructure, or workflow boundaries. * Identify systemic causes behind recurring incidents and drive platform\-level improvements rather than repeatedly addressing symptoms. ### Engineering Leadership \& Influence * Serve as a technical leader and trusted engineering partner across RCM initiatives without requiring direct people\-management responsibility. * Mentor engineers through architecture reviews, design discussions, code reviews, debugging, and complex technical decisions. * Raise engineering quality by establishing practical standards, reusable patterns, reference implementations, and technical guidance. * Influence engineering roadmaps by identifying foundational technical investments, architectural risks, scalability constraints, and modernization opportunities. * Partner with Product and RCM Operations to challenge assumptions, simplify workflows, and ensure technology decisions address the underlying business problem rather than simply automating existing processes. * Own critical software through production and continuously improve it based on system behavior, operational feedback, and business results. * Measure the impact of engineering improvements through outcomes such as automation rate, exception rate, manual touches, processing time, rejection/denial resolution time, successful resubmission, payment outcomes, and system reliability. * 8\+ years of professional software engineering experience, with significant experience designing and operating complex production systems. * Demonstrated experience operating at a senior technical leadership level—leading architecture and technical direction across multiple engineers, services, or initiatives. * Strong software engineering fundamentals, including application design, testing, debugging, code review, and maintainability. * Deep experience building backend services, REST APIs, distributed applications, and transaction\-processing systems. * Proficiency with TypeScript, Node.js, or comparable modern backend technologies. * Experience with relational databases, SQL, data modeling, and transactional systems. * Strong experience developing and operating cloud\-hosted applications, preferably on AWS. * Deep understanding of asynchronous processing, queues, events, distributed\-system failure modes, retries, idempotency, consistency, and resilient system design. * Experience architecting long\-running workflow or orchestration systems involving state management, exceptions, retries, recovery, and human intervention. * Experience with automated testing, CI/CD pipelines, observability, and secure software development practices. * Ability to design systems and technical contracts that remain maintainable as teams, workflows, integrations, and transaction volumes grow. * Ability to reason across application, platform, integration, data, security, and operational boundaries rather than optimizing a single service in isolation. * Ability to investigate highly ambiguous problems using production behavior, data, logs, architecture, and user workflows. * Demonstrated ability to influence technical decisions across teams through technical credibility, communication, design artifacts, and collaboration rather than organizational authority. * Experience mentoring engineers and raising the technical capability of a broader engineering team. * Strong collaboration and communication skills with the ability to work across engineering, product, operations, architecture, data, and executive stakeholders. * Experience using modern AI\-assisted software development tools and workflows while maintaining engineering quality, security, and accountability. * Healthcare Revenue Cycle Management, medical billing, claims, rejections, denials, eligibility, remittance, payment processing, or claim remediation. * Healthcare claims transactions and standards such as 837, 835, CARC/RARC, or related payer/clearinghouse workflows. * Waystar or other healthcare clearinghouse integrations. * Healthcare, HealthTech, FinTech, insurance, payments, or other high\-volume transactional environments. * Architecture of workflow orchestration, rules engines, state machines, or exception\-management platforms used across multiple products or business processes. * Event\-driven architectures and large\-scale distributed systems. * Incremental modernization of legacy platforms while maintaining production continuity and avoiding high\-risk rewrites. * Production use of Generative AI, LLMs, AI agents, retrieval\-augmented generation, or machine learning. * AI orchestration frameworks, structured tool use, MCP or similar tool protocols, and agentic workflows. * Human\-in\-the\-loop automation where AI or software recommendations require review, approval, correction, or escalation. * Architecture and governance of production AI/agent systems, including evaluation, guardrails, tool authorization, observability, and fallback strategies. * Snowflake or other cloud\-native data platforms. * Docker, Kubernetes, and containerized application deployment. * Data\-intensive application development and distributed data processing. * Experience working with HIPAA\-regulated systems, PHI, audit requirements, or other highly regulated environments. * Backend: TypeScript, Node.js, Python * Frontend: React, Next.js, TypeScript, Tailwind CSS * Cloud \& Platform: AWS, Docker, Kubernetes, CI/CD * Architecture: REST APIs, queues, events, asynchronous workflows, distributed services * Data: SQL, Snowflake * AI: AWS Bedrock, LLM APIs, retrieval, structured tool use, Generative AI, and agentic workflows * Integrations: Waystar, Experity EMR and Practice Management, payer systems, and third\-party RCM services We want engineers who understand the problem they are solving, not just the ticket they are implementing. We are building an AI\-native engineering culture. Engineers are expected to use modern AI development tools thoughtfully to accelerate delivery and improve quality while retaining ownership of architecture, code quality, testing, security, and production outcomes. This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. Work Location: Karnataka, India Availability: Full time
Job Title: Sr MTS Machine Learning Engineer Company: eBay Job Category: Machine Learning Roles & Responsibilities: At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. About The Team And The Role Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay – a company you can be proud to be with. As a Sr MTS Machine Learning Engineer, you will serve as a senior technical leader for high\-impact ML initiatives. You will help set direction, define engineering approaches, guide experimentation, and work hands\-on with researchers and engineers to bring ML systems into production. The candidate will work closely with leaders and other teams from our globally distributed Ads organization, including product managers, design, and analytics leaders to brainstorm and enable future personalized e\-commerce shopping experiences. This is a shared technical lead role across Ads teams and will support the needs of Recommendations Ads, Search Ads, and Ads Guidance. What You Will Accomplish * Provide technical leadership to a team of engineers for ML initiatives across Ads and marketplace discovery * Champion software engineering best practices, including code reviews, testing, and documentation, within the machine learning team * Design, build, and operate scalable backend and ML systems supporting sponsored experiences, ranking, retrieval, and personalization * Collaborate closely with Applied Researchers to translate novel algorithms and research prototypes into hardened, production\-ready code * Mentor other team members through code reviews, technical guidance, architecture design, and pair programming * Drive measurable customer and business impact through disciplined A/B testing and iteration Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: AI/ML Engineer (f/m/x) Company: Groupe SII Job Category: Machine Learning Roles & Responsibilities: * Regular * Hybrydowa, * Stacjonarna * Bangalore Technologie i narzędzia --------------------------- Wymagane Generatywna sztuczna inteligencja Python RAG Mile widziane AWS Poszukujemy Backend GenAI Engineerów, którzy pomogą w budowie i skalowaniu rozwiązań AI klasy enterprise. W tej roli będziesz odpowiedzialny za projektowanie i rozwój podstawowej architektury, która napędza nasze inicjatywy AI, w tym ramy wchłaniania, usługi integracyjne, projektowanie schematów, przepływy transformacji i skalowalne komponenty platformy. Odegrasz kluczową rolę w umożliwieniu rozwoju, wdrażania i optymalizacji zaawansowanych aplikacji AI/ML i Generative AI w całej organizacji. To jest możliwość pracy hybrydowej, z oczekiwaniem 3 dni w tygodniu w biurze w Bangalore. Preferowani są kandydaci gotowi do natychmiastowego rozpoczęcia pracy z uwagi na krytyczność projektu. Twoje zadania ----------------- * Tworzenie inteligentnych przepływów pracy Agentic AI przy użyciu LangGraph i LangChain w celu rozwiązania złożonych wyzwań biznesowych * Projektowanie skalowalnych architektur wieloagentowych z zaawansowanym routowaniem, pamięcią i możliwościami punktów kontrolnych * Budowanie rozwiązań RAG end\-to\-end, które dostarczają dokładne, kontekstowe i wykonalne odpowiedzi AI * Integracja AWS Bedrock, AgentCore i usług przedsiębiorstw w celu zasilania aplikacji AI gotowych do produkcji * Opracowywanie rozwiązań naturalnego języka do SQL, które przekształcają zapytania użytkowników w znaczące spostrzeżenia biznesowe * Wykorzystanie baz danych wektorowych, takich jak Pinecone, ChromaDB lub FAISS, w celu umożliwienia efektywnego wyszukiwania semantycznego i pobierania danych * Rozwój aplikacji Python o wysokiej wydajności przy użyciu FastAPI, Pydantic i nowoczesnych praktyk inżynieryjnych * Optymalizacja rozwiązań Generative AI w oparciu o modele OpenAI, Claude, Gemini i Llama w celu maksymalizacji wydajności i niezawodności Wymagania ------------- * Minimum 4\-letnie doświadczenie w rozwoju AI/ML, z silnym naciskiem na rozwiązania Generative AI * Silne doświadczenie w zakresie Generative AI i LLM, w tym OpenAI, Claude, Gemini i Llama * Praktyczna wiedza w zakresie LangGraph i LangChain, w tym orkiestracja agentów, zarządzanie pamięcią i integracja narzędzi * Udokumentowane doświadczenie z AWS Bedrock i AWS AgentCore w zakresie opracowywania i wdrażania rozwiązań AI dla przedsiębiorstw * Silna znajomość Pythona, w tym FastAPI, Pydantic i programowania asynchronicznego dla aplikacji produkcyjnych * Doświadczenie w budowaniu pipeline'ów RAG end\-to\-end oraz pracy z bazami danych wektorowymi, takimi jak Pinecone, ChromaDB, FAISS lub OpenSearch * Silna wiedza na temat SQL, NL\-do\-SQL i wzorców dostępu do danych wspomaganych AI; doświadczenie w Snowflake jest dodatkowym atutem * Doskonałe umiejętności komunikacyjne z biegłą znajomością języka angielskiego (minimum poziom B2\) Mile widziane ----------------- * Doświadczenie z AWS AgentCore, w tym Runtime, Memory i Tools Gateway * Znajomość MCP (Model Context Protocol) i frameworków komunikacji Agent\-to\-Agent (A2A) Nr oferty JOB\-XUYXM Sii zapewnia, że wszystkie decyzje związane z zatrudnieniem są podejmowane wyłącznie na podstawie kwalifikacji i kompetencji. Zobowiązujemy się do równego traktowania wszystkich osób, niezależnie od cech chronionych, oraz promowania zróżnicowanego i integracyjnego środowiska pracy. Benefity dla Ciebie ----------------------- Zróżnicowane portfolio klientów Szeroki wachlarz technologii Stabilne zatrudnienie Możliwość pracy zdalnej Kontrakty z globalnymi markami Great Place to Work w Europie Wielu ekspertów, od których możesz się uczyć Otwarty i dostępny zarząd Work Location: Karnataka, India Availability: Full time
Job Title: Deals Advisory - AI Engineer (Topic Research) - Senior Associate Company: PwC Acceleration Center India Job Category: Machine Learning Roles & Responsibilities: As a Deals Advisory \- AI Engineer \- Senior Associate, you will join our AI Research team, serving as a pivotal member in exploring AI technologies and methodologies relevant to both our business and clients. Within our Deals practice, you will engage in a collaborative environment that values curiosity and practical problem\-solving, focusing on translating AI developments into impactful insights for the firm and our clients. As a Senior Associate, you will leverage your skills to analyze complex problems, mentor junior team members, and maintain professional standards. You will build meaningful client connections and develop a deeper understanding of the business context, navigating complexity and embracing ambiguity to deliver quality work. Responsibilities * Conducting rapid experiments to evaluate emerging AI tools, models, and techniques * Designing clear hypotheses, success metrics, and evaluation criteria for AI experiments * Documenting experiment outcomes, key learnings, and limitations for internal stakeholders and clients * Producing client\-ready insights and supporting technical demos and deep dive sessions * Monitoring, evaluating, and experimenting with emerging AI technologies and trends * Utilizing Python to write maintainable code following best practices * Building agents using frameworks like LangGraph, AutoGen, and CrewAI * Deploying machine learning workloads to cloud platforms such as Azure, AWS, or GCP * Implementing automated testing pipelines for model performance * Applying knowledge of model optimization techniques, including quantization and distillation * Leveraging experience with large language models and APIs for platforms like Azure and OpenAI * Collaborating with the AI Research team to translate AI developments into impactful thought leadership Work Location: Bengaluru East, Karnataka, India Availability: Full time
Job Title: Principal Solutions Architect Company: Northern Trust Corp. Job Category: Machine Learning Roles & Responsibilities: As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions. Role Summary We are seeking a Principal Solutions Architect \- Data to provide architectural leadership across enterprise data, reporting, and analytics initiatives. The role will define scalable solutions across data platforms, integration services, semantic models, and business intelligence while ensuring security, governance, performance, and operational readiness. Key Responsibilities * Own end\-to\-end solution and data architecture, including target\-state designs, conceptual and logical data models, integration patterns, data flows, security controls, lineage, and technology standards. * Partner with enterprise architects and governance teams to guide solutions through Permit to Design, Permit to Build, and Permit to Operate, ensuring design, security, risk, infrastructure, support, and operational\-readiness requirements are addressed. * Define scalable engineering and integration patterns across Snowflake, cloud platforms, APIs, batch processing, and event\-driven services, balancing resilience, performance, security, and cost. * Own reporting and analytics architecture, including Performance Reporting, Client Reporting, Power BI, and semantic models. Establish standards for Import, DirectQuery, hybrid models, aggregation, incremental refresh, caching, and query optimization. * Lead resolution of complex performance issues across source systems, data platforms, transformations, calculation layers, semantic models, and Power BI. * Define measurable non\-functional requirements for performance, scalability, availability, resilience, data freshness, observability, security, supportability, and cost. * Establish reusable patterns for data modeling, metadata, lineage, data quality, auditability, governance, and access control to reduce technical debt. * Provide architectural leadership across client, account, product, legal agreement, performance, benchmark, reference, and other strategic data domains. * Act as a senior design authority by reviewing solutions, challenging technical choices, identifying risks and dependencies, mentoring teams, and communicating decisions to business and technology stakeholders. * Maintain concise architecture deliverables, including diagrams, data models, integration flows, architecture decisions, deployment views, and operational\-readiness documentation. * Data \& Analytics: Snowflake, advanced SQL, Power BI, semantic modeling, DAX, ETL/ELT, data warehousing, data modeling, performance optimization, metadata, lineage, and data quality. * Cloud \& Integration: Microsoft Azure, cloud\-native architecture, REST APIs, microservices, batch and event\-driven integration, security, Key Vault/secrets management, observability, and resiliency patterns. * Application Engineering: Python, FastAPI or similar service frameworks, React, TypeScript/JavaScript, and modern application architecture patterns. * Architecture \& Governance: Solution and data architecture, architecture lifecycle governance including Permit to Design, Permit to Build, and Permit to Operate, non\-functional requirements, security architecture, operational readiness, and architecture decision records. * Engineering Practices: CI/CD, DevSecOps, source control, automated testing, infrastructure\-as\-code concepts, production supportability, and performance monitoring. * Leadership: Architecture reviews, design authority, technical roadmaps, mentoring, stakeholder communication, and collaboration across engineering, security, infrastructure, data governance, and enterprise architecture teams. * Investment management, asset management, financial services, or another highly governed data environment. * Performance and client reporting, benchmark and reference data, account and client hierarchies, and legal\-entity or agreement data. * Modernization of legacy reporting and analytics solutions, architecture governance, data catalogs, business glossaries, and regulatory reporting. * Applied knowledge of machine learning, artificial intelligence, and modern analytics within established security and governance standards. As a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to an inclusive workplace and assisting the communities we serve. Work Location: Karnataka, India Availability: Full time
