1930 Inference Jobs - Page 18

Applied Research Center [Emerging Areas] Advanced AI [SLM, Inference Scaling, Synthetic Data, Distributed Learning, Agentic AI, ANI] New Interaction Models [Spatial computing, Mixed Reality, 3D visualizations, New Experiences] Platforms and Protocols [Architecting and engineering for Performance, Uptime, Low-latency, Scalability, Efficiency, Data, Interoperability and Low cost, Beckn, CDPI] Cybersecurity [Ethical hacking, Threat Mgmt, Supply chain security & risk, Cyber Resilience] Quantum [Quantum AI, Stack, Simulation & Optimization, Cryptography, Valued use cases] Autonomous Machines [Humanoids, Industrial Robots, Drones, Smart Products] Emerging Research [Brain, AGI, Space, Semicon ] Emerging Tech Trends Research - Research on emerging tech trends, ecosystem of players, use cases and their applicability and impact to client businesses. Scan & curate startups, universities and tech partnerships needed and create innovation ecosystem. Rapidly design and develop PoCs in Emerging tech areas. Share design specifications with other team members, get the components developed, integrate and test. Build reusable components and develop PoCs using relevant startups and Open-source solutions. 2. Thought Leadership - Develop showcases that demonstrate how emerging technologies can be applied in a business context, demo scenarios for the IP. Contribute towards patents, tier-1 publications, whitepapers, blogs in the relevant emerging tech area Get certified on the emerging technology, frameworks 3. Applied Research Center Activities - Contribute to high level design development, testing and implementation of new proof of concepts in emerging tech areas. 4. Problem Definition, Requirements - Understand technical requirements and define detailed design. Analyze the reusable components to map the given requirement to existing implementation and identify needs for enhancements 5. IP Development - Develop program level design, modular components to implement the proposed design. Design and develop reusable components. Ensure compliance with coding standards, secure coding, KM guidelines while developing the IP 6. Innovation Consulting - Understand client requirements and implement first of kind solutions using emerging tech expertise. Customize and extend IP for client specific features 7. Talent Management - Mentor the team and help them acquire the identified emerging tech skill. Participate in demo sessions, hackathons 8. Emerging Tech Startup Ecosystem – Work with startups in providing innovative solutions to client problems and augmenting Infosys offerings Technical Competencies Advanced theoretical knowledge in specific domain Experimental design and methodology expertise Data analysis and interpretation skills Prototype development capabilities Research tool proficiency relevant to domain Soft Skills and Attributes Collaborative mindset for cross-disciplinary research Communication skills for knowledge dissemination Creative problem-solving approach Intellectual curiosity and innovation focus Commercial awareness for translational research

About Providence Providence, one of the US’s largest not-for-profit healthcare systems, is committed to high quality, compassionate healthcare for all. Driven by the belief that health is a human right and the vision, ‘Health for a better world’, Providence and its 121,000 caregivers strive to provide everyone access to affordable quality care and services. Providence has a network of 51 hospitals, 1,000+ care clinics, senior services, supportive housing, and other health and educational services in the US. Providence India is bringing to fruition the transformational shift of the healthcare ecosystem to Health 2.0. The India center will have focused efforts around healthcare technology and innovation, and play a vital role in driving digital transformation of health systems for improved patient outcomes and experiences, caregiver efficiency, and running the business of Providence at scale. Why Us? Best In-class Benefits Inclusive Leadership Reimagining Healthcare Competitive Pay Supportive Reporting Relation How is this team contributing to vision of Providence? Marketing Analytics team empowers Marketing and Digital Experience (MDeX) team with actionable, data-driven insights and measurement tools that drive impactful decisions, identify business opportunities, maximize performance, and create a competitive advantage. We achieve this by understanding our data and business/market context, partnering with MDeX to enhance the use of analytical tools, delivering timely and accurate reports and insights, and telling compelling stories about our patients, business, and experiences through advanced data storytelling, including visualization. What will you be responsible for? As a Principal Data Scientist, you will be responsible to develop effective and high-quality healthcare program integrity analytics that meet business requirements. In Addition, your responsibilities include: Collaborate with stakeholders to develop models that inform marketing strategies, audience targeting, and channel prioritization. Engage in product features for marketing technologies. Possess strong Strategic Thought Leadership, Innovative Mindset, Communication / Collaboration, Story-telling, Critical Thinking, Problem Solving skills. Experience working with Gen-AI, expertise in fine-tuning transformer-based models / LLMs- GPT, Llama, PaLM, BERT and RAG models. Fine-tuning of Large Language Models (GPT/ PaLM/ Llama) to meet specific business requirements. Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal Marketing Investments and decision making. Build and validate predictive models with advanced machine learning techniques and tools to drive business value, interpreting, and presenting modeling and analytical results to technical and business stakeholders. Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation Build, scale, and optimize customer data science workloads and apply best in class MLOps to productionize these workloads across a variety of domains Advise data teams on various data science such as architecture, tooling, and best practices Strong Communicator, should be able to collaborate cross-functionally with the Strategy, Product and engineering teams to define priorities and influence the product roadmap Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts, and other intuitive graphical add-ons. Develop and implement machine learning models using a variety of techniques (supervised and unsupervised learning models including NLP, Deep learning Models, and Predictive Analytics) Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes. Manage and optimize processes for data intake, validation, mining, and engineering as well as modelling, visualization, and communication deliverables. Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations. Understanding data storage and data sharing methods. Healthcare and marketing domain business knowledge will be a plus. Strong proficiency in: Python, PySpark, SQL, & have experience in machine learning libraries & frameworks such as TensorFlow, PyTorch, or Keras. Deep expertise in traditional as well as modern statistical & ML techniques like regression, support vector machines, Regularization, Boosting, Random Forests, XGBoost, & other ensemble methods. Proficiency in developing NLP models using: Nltk, spacy, Genism , Word 2 Vec , Seq 2 seq , transformers , BERT etc. Prior hands-on experience in analysing large and complex data sets, data reliability analysis, quality controls and data processing, with focus on model validation practices. What would your week look like? Responsible for end-to-end ownership of data science use cases right from outlining the business problem, to exploring various solutions to solve the business problem, to building, deploying, and evaluating the solution to yield high business value and customer satisfaction. Who are we looking for? 14+ yrs. of professional work experience preferable in management consulting or high growth start-ups preferably in healthcare and 8-12+ years of experience in a data analytics and data science role. Bachelor's degree in mathematics, statistics, healthcare administration, or related field. Master's degree advantageous. 5+ years of experience in Python, AI & ML Designing, developing, and implementing AI/ generative AI models & algorithms to solve complex problems and drive innovation across organization. Lead all stages of AI/ML solutions implementation: Gathering business requirements & understanding, data requirements for the solution build, any constraints (data /business), data exploration/solution design, machine learning models development, active collaboration with model risk team to ensure high quality model deployment & minimize enterprise risk. Lead the implementation of AI solutions to deliver business impact with focus on value, success criteria alignment, scalability, and operationalization. Collaborating with cross-functional teams to define project requirements and objectives, ensuring alignment with overall business goals for integration, sign-off and deploying machine learning models into production. Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Engage team members, project managers & business stakeholders in the analysis and interpretation of experimentation results & ensuring feedback is incorporated as appropriate into models. Drive best practices throughout development process and publish learnings/feedback for continuous learning. Lead/drive and accelerate innovations in discovery phase via insights, frameworks, causal inference solutions and machine learning prototypes via POCs. Refine standards and processes for AI solution development & implementation in close collaboration with data science leaders and team in the US. Ensure adherence to the industry / enterprise standards and best practices. Develop and institutionalize best practices and re-usable components, contribute to research and experimentation efforts. Lead, coach, support, and mentor data scientists in the team review their work as required, provide adequate guidance, feedback to help them achieve their goals and do right for Enterprise. Participate in talent acquisition activities to build strong talent pool of Data Scientists. Providence’s vision to create ‘Health for a Better World’ aids us to provide a fair and equitable workplace for all in our employment, whether temporary, part-time or full time, and to promote individuality and diversity of thought and background, and acknowledge its role in the organization’s success. This makes us committed towards equal employment opportunities, regardless of race, religion or belief, color, ancestry, disability, marital status, gender, sexual orientation, age, nationality, ethnic origin, pregnancy, or related needs, mental or sensory disability, HIV Status, or any other category protected by applicable law. In furtherance to our mission in building a more inclusive and equitable environment, we shall, from time to time, undertake programs to assist, uplift and empower underrepresented groups including but not limited to Women, PWD (Persons with Disabilities), LGTBQ+ (Lesbian, Gay, Transgender, Bisexual or Queer), Veterans and others. We strive to address all forms of discrimination or harassment and provide a safe and confidential process to report any misconduct. Contact our Integrity hotline also, read our Code of Conduct.

About the Team The Data Science team at Navi plays a central role in building intelligent solutions that power our products and drive business impact. We work across key domains such as Lending, Collections, KYC, UPI Growth and Ads recommendation, applying advanced machine learning/deep learning/GenAI techniques to solve high-impact challenges. Our work involves a diverse range of data types—including text, image, and tabular data—and we closely collaborate with cross-functional teams like Product, Business, Engineering, etc. to deliver end-to-end solutions. About the Role As a Data Scientist 3 at Navi, you’ll be an integral part of a team that’s building scalable and efficient solutions across lending, insurance, investments, and UPI. You won’t just be solving predefined problems - you’ll identify the problems and solve for getting high business impact. This role offers the opportunity to lead high-impact data science initiatives that directly influence strategic business decisions. It involves working at the intersection of advanced machine learning, large-scale data processing, and cross-functional collaboration, with a focus on building scalable solutions and fostering a culture of technical excellence and innovation within the team. What We Expect From You Strategic Project Leadership: Drive end-to-end delivery of high-impact data science initiatives, from conception and prototyping to large-scale deployment, ensuring alignment with business goals and measurable outcomes. Stakeholder Management & Cross-Functional Leadership: Proactively engage and influence stakeholders across Product, Engineering, Business, and Executive teams, shaping problem definitions and championing data-driven decision making. Technical Depth & Thought Leadership : Demonstrate deep expertise across machine learning and deep learning concepts, setting technical direction and solving highly complex, ambiguous problems. Advanced Data Solutions: Architect and deliver solutions across diverse data types—tabular, text, image, and speech—leveraging cutting-edge models and best practices to drive business value at scale. Innovation & Research: Lead experimentation with emerging algorithms and technologies, fostering a culture of innovation and staying ahead of industry trends, especially in the fintech domain. Robust Model Governance: Establish and uphold best practices for model validation, monitoring, performance tracking, and risk management in production environments, ensuring reliability and compliance. Mentorship & Team Development: Mentor and guide junior team members, facilitate technical reviews, and actively contribute to a culture of knowledge sharing, continuous learning, and technical excellence within the team. Must Haves Bachelor’s or higher degree in Computer Science, Electrical Engineering, or a quantitative field, with a demonstrated research mindset and 5+ years of relevant experience Deep understanding of modern machine learning techniques, underlying mathematics , and hands-on experience with key ML frameworks (such as scikit-learn, Keras, TensorFlow, PySpark, MLlib, etc.) Strong foundation in statistics, machine learning (e.g., Random Forests, XGBoost, SVMs), and inference techniques, with expertise in hypothesis testing, simulations, and optimization methodologies. Proven experience working with distributed computing platforms for large-scale data processing and model training Strong programming skills, preferably in Python , Scala, or similar languages Demonstrated ability to drive large-scale machine learning projects end to end—from problem formulation and data preparation to deployment and monitoring Proven track record of delivering high business impact through data science solutions in previous roles Experience leading projects with multiple team members and/or mentoring junior colleagues is preferred Inside Navi We are shaping the future of financial services for a billion Indians through products that are simple, accessible, and affordable. From Personal & Home Loans to UPI, Insurance, Mutual Funds, and Gold — we’re building tech-first solutions that work at scale, with a strong customer-first approach. Founded by Sachin Bansal & Ankit Agarwal in 2018, we are one of India’s fastest-growing financial services organisations. But we’re just getting started! Our Culture The Navi DNA Ambition. Perseverance. Self-awareness. Ownership. Integrity. We’re looking for people who dream big when it comes to innovation. At Navi, you’ll be empowered with the right mechanisms to work in a dynamic team that builds and improves innovative solutions. If you’re driven to deliver real value to customers, no matter the challenge, this is the place for you. We chase excellence by uplifting each other—and that starts with every one of us. Why You'll Thrive at Navi At Navi, it’s about how you think, build, and grow. You’ll thrive here if: You’re impact-driven : You take ownership, build boldly, and care about making a real difference. You strive for excellence : Good isn’t good enough. You bring focus, precision, and a passion for quality. You embrace change : You adapt quickly, move fast, and always put the customer first.

Job Summary Strategic & Leadership-Level GenAI Skills 1. AI Solution Architecture Designing scalable GenAI systems (e.g. RAG pipelines multi-agent systems). Choosing between hosted APIs vs open-source models. Architecting hybrid systems (LLMs + traditional software). 2. Model Evaluation & Selection Benchmarking models (e.g. GPT-4 Claude Mistral LLaMA). Understanding trade-offs: latency cost accuracy context length. Using tools like LM Evaluatio Responsibilities Strategic & Leadership-Level GenAI Skills 1. AI Solution Architecture Designing scalable GenAI systems (e.g. RAG pipelines multi-agent systems). Choosing between hosted APIs vs open-source models. Architecting hybrid systems (LLMs + traditional software). 2. Model Evaluation & Selection Benchmarking models (e.g. GPT-4 Claude Mistral LLaMA). Understanding trade-offs: latency cost accuracy context length. Using tools like LM Evaluation Harness OpenLLM Leaderboard etc. 3. Enterprise-Grade RAG Systems Designing Retrieval-Augmented Generation pipelines. Using vector databases (Pinecone Weaviate Qdrant) with LangChain or LlamaIndex. Optimizing chunking embedding strategies and retrieval quality. 4. Security Privacy & Governance Implementing data privacy access control and audit logging. Understanding risks: prompt injection data leakage model misuse. Aligning with frameworks like NIST AI RMF EU AI Act or ISO/IEC 42001. 5. Cost Optimization & Monitoring Estimating and managing GenAI inference costs. Using observability tools (e.g. Arize WhyLabs PromptLayer). Token usage tracking and prompt optimization. Advanced Technical Skills 6. Model Fine-Tuning & Distillation Fine-tuning open-source models using PEFT LoRA QLoRA. Knowledge distillation for smaller faster models. Using tools like Hugging Face Axolotl or DeepSpeed. 7. Multi-Agent Systems Designing agent workflows (e.g. AutoGen CrewAI LangGraph). Task decomposition memory and tool orchestration. 8. Toolformer & Function Calling Integrating LLMs with external tools APIs and databases. Designing tool-use schemas and managing tool routing. Team & Product Leadership 9. GenAI Product Thinking Identifying use cases with high ROI. Balancing feasibility desirability and viability. Leading GenAI PoCs and MVPs. 10. Mentoring & Upskilling Teams Training developers on prompt engineering LangChain etc. Establishing GenAI best practices and code reviews. Leading internal hackathons or innovation sprints.

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. Job Summary To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a Manager - Warehouse position will be based in Sriperumbadur, Chennai. What a typical day looks like: Maintains receiving, warehousing, and distribution operations by initiating, coordinating, and enforcing program, operational, and personnel policies and procedures. Complies with local warehousing, material handling, and shipping requirements by studying existing and new legislation; enforcing adherence to requirements; advising management on needed actions. Safeguards warehouse operations and contents by establishing and monitoring security procedures and protocols. Controls inventory levels by conducting physical counts; reconciling with data storage system. Maintains physical condition of warehouse by planning and implementing new design layouts; inspecting equipment; issuing work orders for repair and requisitions for replacement. Achieves financial objectives by preparing an annual budget; scheduling expenditures; analyzing variances; initiating corrective actions. Monitors volume of business and determines appropriate work schedule. Sets productivity and establishes necessary controls to ensure objectives are met. Monitors condition and maintenance of operating / material handling equipment. Constantly monitors the efficient handling of shipments and receipts to create an error free culture. Reviews the loading and unloading schedules to maximize efficiencies and reduce expenses. Coordinate floor cycle counts, physical inventory and reconciling records. The experience we’re looking to add to our team: Typically requires a Bachelor's degree or equivalent experience and extensive knowledge of purchasing policies and practices in addition to 12 + years of materials experience with advanced experience using MRP systems. Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios and proportions to practical situations. Demonstrates expert functional, technical and people and/or process management skills as well as customer (external and internal) relationship skills. Demonstrates detailed expertise in very complex functional/technical area or broad breadth of knowledge in multiple areas; understands the strategic impact of the function across sites. Ability to effective present information to management and customers. Master’s degree preferred Here are a few examples of what you’ll get for the great work you provide Health Insurance PTO #LP17 Job Category Global Procurement & Supply Chain Required Skills: Optional Skills: Logistics, Warehouse ManagementFlex pays for all costs associated with the application, interview or offer process, a candidate will not be asked for any payment related to these costs. Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

Company Overview We are an innovative company developing license-based AI vision software for industrial automation and robotics, deployed on edge devices like the ARM64 boards. Our solutions leverage state-of-the-art object detection models (e.g., YOLOv8) to deliver cutting-edge vision capabilities for industries such as manufacturing, logistics, and robotics. Job Summary We are seeking a motivated .NET Developer Intern with full-stack development skills and an interest in AI vision software for industrial applications. The intern will contribute to the development, deployment, and licensing of AI vision software running on ARM64 boards, focusing on object detection using models like YOLOv8. The role involves building secure, license-protected applications using C#/.NET, integrating with Python-based AI models, and ensuring compatibility with Linux and ARM64 architectures. Responsibilities Develop full-stack applications using C#/.NET (ASP.NET Core, Blazor, or WPF) for AI vision software, including web-based dashboards and APIs for industrial use cases. Implement and integrate license-based software locking mechanisms (e.g., hardware-tied, time-based, or feature-based licenses) using .NET libraries like Portable.Licensing or similar tools. Collaborate with the AI team to integrate YOLOv8 object detection models (developed in Python) into .NET applications using ONNX Runtime or ML.NET for inference on ARM64. Optimize software for deployment on Linux-based ARM64 platforms, ensuring compatibility with ARM64. Assist in developing user interfaces for industrial vision applications, ensuring seamless interaction with object detection outputs. Write clean, maintainable, and well-documented code following best practices. Participate in testing, debugging, and performance optimization of AI vision software. Stay updated on industry trends in industrial vision and robotics, including advancements from companies like SICK AG, Cognex, and AI vision startups. Required Qualifications Education : Pursuing a Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related field. Programming Skills : Proficiency in C# and .NET (preferably .NET Core/.NET 5/6/7) for full-stack development. Experience with Python for AI model integration (e.g., PyTorch, YOLOv8). Familiarity with web development technologies (HTML, CSS, JavaScript, Blazor, or ASP.NET Core). AI Vision Knowledge : Basic understanding of computer vision concepts (e.g., object detection, image processing) and familiarity with models like YOLOv8. Licensing Knowledge : Understanding of software licensing mechanisms (e.g., hardware-based, time-based) and experience with cryptographic libraries (e.g., System.Security.Cryptography in .NET or Python’s cryptography). Linux and ARM64 : Basic knowledge of Linux environments and ARM64 architecture, particularly for deploying software on NVIDIA ecosystem. Problem-Solving : Strong analytical and problem-solving skills with a keen attention to detail. Teamwork : Ability to work collaboratively in a fast-paced, cross-functional team environment. Good-to-Have Qualifications Experience with C++ for performance-critical tasks, such as optimizing YOLOv8 inference with NVIDIA TensorRT or OpenCV. Familiarity with NVIDIA’s ecosystem (e.g., JetPack SDK, DeepStream, TensorRT) for AI vision deployment. Knowledge of computer vision libraries like OpenCV or EmguCV. Experience with cloud platforms (e.g., Azure, AWS) for license management or data integration. Understanding of industrial vision and robotics applications. Exposure to software obfuscation tools (e.g., Dotfuscator, Pyarmor) for protecting license-based software. Why Join Us? Gain hands-on experience in developing cutting-edge AI vision software for industrial applications. Work on real-world projects involving YOLOv8, ARM64, and license-based software solutions. Collaborate with a team of experts in AI, computer vision, and industrial automation. Opportunity to learn from industry trends, including those set by leaders like SICK AG, Cognex, and innovative startups. Flexible work environment with opportunities for growth and learning. Job Types: Full-time, Part-time, Permanent, Fresher, Internship, Volunteer Pay: ₹8,393.49 - ₹25,634.39 per month Benefits: Paid sick time Work from home Location Type: In-person Schedule: Day shift Evening shift Monday to Friday Rotational shift Work Location: In person Speak with the employer +91 8448116056

Experience : 6.00 + years Salary : INR 6000000-6500000 / 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: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: MLOps, Python, Scalability, VectorDBs, FAISS, Pinecone/ Weaviate/ FAISS/ ChromaDB, Elasticsearch, Open search Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps 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 the Team The Data Science team at Navi plays a central role in building intelligent solutions that power our products and drive business impact. We work across key domains such as Lending, Collections, KYC, UPI Growth and Ads recommendation, applying advanced machine learning/deep learning/GenAI techniques to solve high-impact challenges. Our work involves a diverse range of data types—including text, image, and tabular data—and we closely collaborate with cross-functional teams like Product, Business, Engineering, etc. to deliver end-to-end solutions. About the Role As a Data Scientist 2 at Navi, you’ll be an integral part of a team that’s building scalable and efficient solutions across lending, insurance, investments, and UPI. You won’t just be solving predefined problems - you’ll help define them, working hands-on across a variety of domains. In this role, you would be expected to lead projects and create real business impact for Navi. You’ll have the opportunity to apply cutting-edge techniques to real-world challenges, while collaborating closely with cross-functional teams to deliver measurable business impact. This isn’t just a role - it’s a chance to contribute to the future of fintech through innovative, high-ownership work that makes a visible difference. What We Expect From You Design, develop, and deploy end-to-end data science solutions that address complex business problems across lending, insurance, investments, and payments. Collaborate with cross-functional teams including product, engineering , and business to identify opportunities for data-driven impact. Work with diverse data modalities such as tabular data, text, audio, image, and video to build predictive models and intelligent systems. Continuously explore and implement state-of-the-art techniques in machine learning, deep learning, NLP, computer vision, and Generative AI. Drive experimentation and rapid prototyping to validate hypotheses and scale successful models to production. Monitor, evaluate, and refine model performance over time, ensuring reliability and alignment with business goals. Contribute to building a strong data science culture by sharing best practices, mentoring peers, and actively participating in knowledge-sharing sessions. Must Haves Bachelor's or Master's in Engineering or equivalent. 2+ years of Data Science/Machine Learning experience. Strong knowledge in statistics, tree-based techniques (e.g., Random Forests, XGBoost), machine learning (e.g., MLP, SVM), inference, hypothesis testing, simulations, and optimizations. Bonus: Experience with deep learning techniques. Strong Python programming skills and experience in building Data Pipelines in PySpark , along with feature engineering. Proficiency in pandas, scikit-learn, Scala, SQL, and familiarity with TensorFlow/PyTorch . Understanding of DevOps/MLOps, including creating Docker containers and deploying to production (using platforms like Databricks or Kubernetes). Inside Navi We are shaping the future of financial services for a billion Indians through products that are simple, accessible, and affordable. From Personal & Home Loans to UPI, Insurance, Mutual Funds, and Gold — we’re building tech-first solutions that work at scale, with a strong customer-first approach. Founded by Sachin Bansal & Ankit Agarwal in 2018, we are one of India’s fastest-growing financial services organisations. But we’re just getting started! Our Culture The Navi DNA Ambition. Perseverance. Self-awareness. Ownership. Integrity. We’re looking for people who dream big when it comes to innovation. At Navi, you’ll be empowered with the right mechanisms to work in a dynamic team that builds and improves innovative solutions. If you’re driven to deliver real value to customers, no matter the challenge, this is the place for you. We chase excellence by uplifting each other—and that starts with every one of us. Why You'll Thrive at Navi At Navi, it’s about how you think, build, and grow. You’ll thrive here if: You’re impact-driven : You take ownership, build boldly, and care about making a real difference. You strive for excellence : Good isn’t good enough. You bring focus, precision, and a passion for quality. You embrace change : You adapt quickly, move fast, and always put the customer first.

Job Description We are looking for an Arabic speaking GenAI Specialist to join our global team. Responsibilities Develop Next-Gen Generative AI Models: Research, design, and fine-tune state-of-the-art models like Llama, GPT, Stable Diffusion, and VAEs to drive business impact. Enhance AI Capabilities: Implement and optimize LLM fine-tuning, prompt engineering, and AI safety mechanisms to improve model efficiency and usability. Integrate AI into Products/ Services: Work closely with business and engineers to embed generative AI solutions into real-world applications, ensuring seamless user experiences. Optimize for Scale & Performance: Build and refine scalable ML pipelines for efficient model deployment, inference, and real-time adaptation. Stay Ahead of AI Trends: Keep pace with emerging technologies, model architectures, and industry breakthroughs to drive continuous innovation. Communicate complex AI concepts to technical and non-technical audiences, ensuring alignment with business strategies. Key Skills required At least 4-5 years of experience in Data Science domain with strong exposure to Generative AI. Proficiency in Arabic with strong speaking and writing skills. Experience using Machine and Deep Learning languages, preferably Python and R, to manipulate data and draw insights from large data sets. Hands-on experience with LLMs, multimodal AI, and diffusion models for applications in text, image, or speech generation. Strong proficiency in TensorFlow, PyTorch, Hugging Face Transformers, and OpenAI APIs and custom fine tuning of LLMs and AIops toolkits. Familiarity with cloud platforms (AWS, GCP, Azure), model deployment strategies, and GPU optimization. Experience building data pipelines and data centric applications using distributed storage platforms in a production setting Ability to work with large-scale datasets, vector embeddings, and retrieval-based AI systems.

About HighLevel: HighLevel is a cloud-based, all-in-one white-label marketing and sales platform that empowers marketing agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, from marketing agencies to entrepreneurs to small businesses and beyond. Our platform empowers users across industries to streamline operations, drive growth, and crush their goals. HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. Our platform manages 470 terabytes of data distributed across five databases, operates with a network of over 250 micro-services, and supports over 1 million domain names. Our People With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home. Our Impact Every month, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen. Learn more about us on our YouTube Channel or Blog Posts About the Role: We're seeking a Staff Engineer to lead the development of LLM-powered AI agents and next-gen Generative AI systems that drive core product functionality and customer-facing automation at scale. This is a high-autonomy, high-impact role for someone who thrives at the intersection of applied AI, agent design, and core data science. You'll build foundational models, retrieval systems, and dynamic agents that interact with millions of users — powering personalized communication, intelligent scheduling, smart replies, and much more. We are looking for builders who can take projects from research and experimentation to production and iteration, and who bring strong data science rigour alongside hands-on GenAI experience. Roles & Responsibilities Architect and deploy autonomous AI agents that execute workflows across sales, messaging, scheduling, and operations Build and fine-tune LLMs (open-source and API-driven) tailored to HighLevel's unique data and customer use cases Develop robust retrieval-augmented generation (RAG) systems and vector search infrastructure to enable context-rich, real-time generation Design and iterate on prompt engineering, context construction, and agent tool usage strategies using frameworks like LangChain Apply core data science methods — modeling, A/B testing, scoring, clustering, and time-series forecasting — to enhance agent intelligence and broader product features Partner with backend, infra, and product teams to build reusable, scalable GenAI infrastructure: model serving, prompt versioning, logging, evals, and feedback loops Continuously evaluate and monitor agent performance, hallucination rates, and real-world effectiveness using rigorous experimentation frameworks Influence HighLevel's AI roadmap while mentoring engineers and contributing to technical standards and best practices Requirements: 7+ years of experience in Data Science, Machine Learning, or Applied AI, with a track record of delivering production-grade models and systems Hands-on expertise with LLMs: fine-tuning, prompt engineering, function-calling agents, embeddings, and evaluation techniques Strong experience in building retrieval-augmented generation (RAG) systems using vector databases (e.g., FAISS, Pinecone, Weaviate) Experience working in cloud-native environments (GCP, AWS) and deploying models with frameworks like PyTorch, Transformers (HF), and MLOps tools Experience with LangChain or similar agent orchestration frameworks; ability to design multi-step, tool-augmented agents Proficiency in Python, with strong engineering practices (CI/CD, testing, versioning) and familiarity with TypeScript Solid foundation in core data science: supervised and unsupervised learning, causal inference, statistical testing, segmentation, and time-series forecasting Proven experience taking ML/AI solutions from prototype to production, including monitoring, observability, and model iteration Ability to work independently and collaboratively, leading initiatives and mentoring peers in a fast-paced, cross-functional environment Strong product sense and communication skills—able to translate between technical constraints and product goals EEO Statement: At HighLevel, we value diversity. In fact, we understand it makes our organisation stronger. We are committed to inclusive hiring/promotion practices that evaluate skill sets, abilities, and qualifications without regard to any characteristic unrelated to performing the job at the highest level. Our objective is to foster an environment where really talented employees from all walks of life can be their true and whole selves, cherished and welcomed for their differences while providing excellent service to our clients and learning from one another along the way! Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Role: Machine Learning Engineer – Large Language Models Roles And Responsibilities: Design, develop, and deploy large-scale language models for a range of NLP tasks such as text generation, summarization, question answering, and sentiment analysis. Fine-tune pre-trained models (e.g., GPT, BERT, T5) on domain-specific data to optimize performance and accuracy. Collaborate with data engineering teams to collect, preprocess, and curate large datasets for training and evaluation. Experiment with model architectures, hyperparameters, and training techniques to improve model efficiency and performance. Develop and maintain pipelines for model training, evaluation, and deployment in a scalable and reproducible manner. Implement and optimize inference solutions to ensure models are performant in production environments. Monitor and evaluate model performance in production, making improvements as needed. Document methodologies, experiments, and findings to share with stakeholders and other team members. Stay current with advancements in LLMs, NLP, and machine learning, and apply new techniques to existing projects. Collaborate with product managers to understand project requirements and translate them into technical solutions. 3+ years of experience in machine learning and natural language processing. Proven experience working with LLMs (such as GPT, BERT, T5, etc.) in production environments Demonstrated experience fine-tuning and deploying large-scale language models. Technical Skills: Proficiency in Python and experience with ML libraries and frameworks such as PyTorch ,TensorFlow, Hugging Face Transformers, etc. Strong understanding of deep learning architectures (RNNs, CNNs, Transformers) and hands-on experience with Transformer-based architectures. Familiarity with cloud platforms (AWS, GCP, Azure) and experience with containerization tools like Docker and orchestration with Kubernetes. Experience with data preprocessing, feature engineering, and data pipeline development. Knowledge of distributed training techniques and optimization methods for handling large datasets. Soft Skills: Excellent communication and collaboration skills, with an ability to work effectively across interdisciplinary teams. Strong analytical and problem-solving skills, with attention to detail and a passion for continuous learning. Ability to work independently and manage multiple projects in a fast-paced, dynamic environment. Preferred Qualifications: Experience with prompt engineering and techniques to maximize the effectiveness of LLMs in various applications. Knowledge of ethical considerations and bias mitigation techniques in language models. Familiarity with reinforcement learning, especially RLHF (Reinforcement Learning from Human Feedback) Experience with model compression and deployment techniques for resource-constrained environments. Contributions to open-source projects or publications in reputable machine learning journals. Professional development opportunities, including access to conferences, workshops, and training programs. A collaborative, inclusive work culture that values innovation and teamwork Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. Primary skills (Must have): Python PyTorch, TensorFlow, Hugging Face Transformers Familiarity in cloud platforms-AWS, GCP, Azure docker, kubernetes Interview Details: Video screening with HR L1 - Technical Interview L2 - Technical and HR Round Note: Candidate must have own laptop. Must follow Kuwait calendar. Working Hours: 11:30 AM to 7:30 PM. Working days : Sunday to Thursday.

Role Overview We are seeking a highly motivated AI Researcher with a Ph.D. in Mathematics or Physics to join our research team. You will contribute to the development of cutting-edge AI models applied to biological data, collaborating with scientists and engineers to drive discovery and innovation. Key Responsibilities Develop, analyze, and optimize advanced machine learning models, including deep learning and probabilistic models, tailored to biomedical applications. Conduct theoretical and applied research bridging mathematics/physics with biological systems and data. Collaborate with domain experts to frame complex biological challenges into solvable AI problems. Design and implement experiments to validate model performance on real-world biological datasets (e.g., genomics, proteomics, medical imaging). Publish findings in top-tier journals and conferences, and contribute to patents and IP development. Stay current with the latest research in AI, applied mathematics, and computational biology. Qualifications Ph.D. in Mathematics, Physics, or a closely related field. Strong background in one or more of the following: statistical mechanics, optimization, information theory, Bayesian inference, or numerical modeling. Solid programming skills in Python and experience with machine learning libraries (e.g., PyTorch, TensorFlow, JAX). Ability to work with large-scale, high-dimensional datasets. Excellent problem-solving and mathematical modeling skills. Strong communication skills and the ability to work in an interdisciplinary team. Preferred Qualifications Experience with AI applications in biology, chemistry, or healthcare. Familiarity with bioinformatics tools and biological data formats (e.g., FASTA, VCF). Previous publications or projects in applied AI research.

Job Description Role : Staff Software Engineer – Machine Learning Platform (GenAI) Location : India Remote About The Role Join Coinbase’s Machine Learning Platform team to build robust infrastructure powering fraud detection, blockchain analytics, and personalized user experiences. You’ll work across all layers of the ML platform – from streaming pipelines and distributed training to real-time inference and developer tooling . Key Responsibilities Understand and address the needs of Coinbase’s ML engineers Mentor junior engineers and elevate engineering quality Optimize low-latency streaming pipelines for fresh, high-quality model inputs Maintain high-availability, low-latency ML inference infrastructure (including LLMs) Build tooling to track data quality and model performance degradation Lead efforts in scalable distributed ML training systems What Coinbase Looks For 10+ years of software engineering experience Expertise in distributed systems, high-performance computing, and clean design Strong communication and mentorship skills Ability to work across a diverse tech stack and adapt quickly Passion for developer experience and system reliability Nice to Have Experience building or working directly with ML models or pipelines Prior platform engineering or developer tooling experience Familiarity with: Python, Golang Ray, Spark, Tecton, Airflow, Databricks Snowflake, DynamoDB Work Culture Remote-first, but participation in team/company offsites is expected High-performance, fast-paced, mission-driven environment Emphasis on ownership, transparency, and continuous improvement Tagged As React CSS React Native HTML Development Remote Non Tech Web3 Solidity Developer Marketing NFT DeFi

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. We believe in the power of diversity and inclusion and cultivate a workplace culture of belonging that views uniqueness as a competitive edge and builds a community that enables our people to push the limits of innovation to make great products that create value and improve people's lives. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a Manager - Warehouse position will be based in Sriperumbadur, Chennai. What a typical day looks like: Maintains receiving, warehousing, and distribution operations by initiating, coordinating, and enforcing program, operational, and personnel policies and procedures. Complies with local warehousing, material handling, and shipping requirements by studying existing and new legislation; enforcing adherence to requirements; advising management on needed actions. Safeguards warehouse operations and contents by establishing and monitoring security procedures and protocols. Controls inventory levels by conducting physical counts; reconciling with data storage system. Maintains physical condition of warehouse by planning and implementing new design layouts; inspecting equipment; issuing work orders for repair and requisitions for replacement. Achieves financial objectives by preparing an annual budget; scheduling expenditures; analyzing variances; initiating corrective actions. Monitors volume of business and determines appropriate work schedule. Sets productivity and establishes necessary controls to ensure objectives are met. Monitors condition and maintenance of operating / material handling equipment. Constantly monitors the efficient handling of shipments and receipts to create an error free culture. Reviews the loading and unloading schedules to maximize efficiencies and reduce expenses. Coordinate floor cycle counts, physical inventory and reconciling records. The experience we’re looking to add to our team: Typically requires a Bachelor's degree or equivalent experience and extensive knowledge of purchasing policies and practices in addition to 12 + years of materials experience with advanced experience using MRP systems. Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios and proportions to practical situations. Demonstrates expert functional, technical and people and/or process management skills as well as customer (external and internal) relationship skills. Demonstrates detailed expertise in very complex functional/technical area or broad breadth of knowledge in multiple areas; understands the strategic impact of the function across sites. Ability to effective present information to management and customers. Master’s degree preferred Here are a few examples of what you’ll get for the great work you provide Health Insurance PTO #LP17 Site Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We celebrate diversity and do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

We are seeking a highly skilled and innovative Senior Software Engineer – AI to join our team. The ideal candidate will bring deep expertise in Python programming, Machine Learning (ML), Deep Learning (DL) using TensorFlow or PyTorch, and hands-on experience with Generative AI (GenAI) technologies including Large Language Models (LLMs) and prompt engineering. You will contribute to building intelligent systems, scalable ML pipelines, and end-to-end AI solutions across domains. Key Responsibilities: Design, develop, and deploy robust and scalable AI/ML models and GenAI solutions Implement ML workflows including data preprocessing, feature engineering, model training, validation, and deployment Develop and optimize data pipelines for training and inference Integrate LLMs using prompt engineering techniques to solve domain-specific problems Collaborate with cross-functional teams for solution prototyping using low-code/no-code or rapid development tools Ensure ML model monitoring, versioning, and lifecycle management through MLOps practices Leverage cloud services (AWS, Azure, or GCP) to build and scale AI/ML solutions Research and experiment with Agentic AI and other emerging technologies as applicable Required Skills & Qualifications: 4–6 years of experience in AI/ML development and deployment Strong proficiency in Python and ML/DL frameworks such as TensorFlow or PyTorch Proven experience working with Generative AI, LLMs, and prompt engineering Experience building and managing data pipelines and implementing MLOps Hands-on experience with cloud platforms (AWS, Azure, or GCP) Exposure to low-code/no-code platforms or rapid prototyping tools Strong problem-solving skills and the ability to work in a fast-paced environment Excellent communication and collaboration skills Preferred Qualifications: Experience or research in Agentic AI systems Familiarity with API integrations, vector databases, and model fine-tuning techniques Contributions to open-source AI/ML projects or published research is a plus

Designation: - ML / MLOPs Engineer Location: - Noida (Sector- 132) Key Responsibilities: • Model Development & Algorithm Optimization : Design, implement, and optimize ML models and algorithms using libraries and frameworks such as TensorFlow , PyTorch , and scikit-learn to solve complex business problems. • Training & Evaluation : Train and evaluate models using historical data, ensuring accuracy, scalability, and efficiency while fine-tuning hyperparameters. • Data Preprocessing & Cleaning : Clean, preprocess, and transform raw data into a suitable format for model training and evaluation, applying industry best practices to ensure data quality. • Feature Engineering : Conduct feature engineering to extract meaningful features from data that enhance model performance and improve predictive capabilities. • Model Deployment & Pipelines : Build end-to-end pipelines and workflows for deploying machine learning models into production environments, leveraging Azure Machine Learning and containerization technologies like Docker and Kubernetes . • Production Deployment : Develop and deploy machine learning models to production environments, ensuring scalability and reliability using tools such as Azure Kubernetes Service (AKS) . • End-to-End ML Lifecycle Automation : Automate the end-to-end machine learning lifecycle, including data ingestion, model training, deployment, and monitoring, ensuring seamless operations and faster model iteration. • Performance Optimization : Monitor and improve inference speed and latency to meet real- time processing requirements, ensuring efficient and scalable solutions. • NLP, CV, GenAI Programming : Work on machine learning projects involving Natural Language Processing (NLP) , Computer Vision (CV) , and Generative AI (GenAI) , applying state-of-the-art techniques and frameworks to improve model performance. • Collaboration & CI/CD Integration : Collaborate with data scientists and engineers to integrate ML models into production workflows, building and maintaining continuous integration/continuous deployment (CI/CD) pipelines using tools like Azure DevOps , Git , and Jenkins . • Monitoring & Optimization : Continuously monitor the performance of deployed models, adjusting parameters and optimizing algorithms to improve accuracy and efficiency. • Security & Compliance : Ensure all machine learning models and processes adhere to industry security standards and compliance protocols , such as GDPR and HIPAA . • Documentation & Reporting : Document machine learning processes, models, and results to ensure reproducibility and effective communication with stakeholders. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. • 3+ years of experience in machine learning operations (MLOps), cloud engineering, or similar roles. • Proficiency in Python , with hands-on experience using libraries such as TensorFlow , PyTorch , scikit-learn , Pandas , and NumPy . • Strong experience with Azure Machine Learning services, including Azure ML Studio , Azure Databricks , and Azure Kubernetes Service (AKS) . • Knowledge and experience in building end-to-end ML pipelines, deploying models, and automating the machine learning lifecycle. • Expertise in Docker , Kubernetes , and container orchestration for deploying machine learning models at scale. • Experience in data engineering practices and familiarity with cloud storage solutions like Azure Blob Storage and Azure Data Lake . • Strong understanding of NLP , CV , or GenAI programming, along with the ability to apply these techniques to real-world business problems. • Experience with Git , Azure DevOps , or similar tools to manage version control and CI/CD pipelines. • Solid experience in machine learning algorithms , model training , evaluation , and hyperparameter tuning

Skill required: Marketing Operations - Content Creation Designation: Creative Production Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services. Role requires Digital Marketing Ads & Promotion creation/design Content creation is the contribution of information to any media and most especially to digital media for an end-user/audience in specific contexts. What are we looking for? Exerts positive influence on both immediate project team members and external stakeholders Assumes responsibility for the accuracy of work processes and flow of tasks Proactively identifies and mitigates risks and assigns appropriate owners to prevent issues and enhance performance Guides research efforts of teams, recognizing when to apply inference, creativity and experience Understands/defines the various roles that respective teams play in the project/process Communicating Effectively Prepares clear and concise executive summary to communicate with leadership Creates communication strategy for the team/project with clear objectives and expectations Understands and factors in the cultural diversity of the audience when planning communications Creates an open environment that encourages team to participate actively and offer new ideas Creating Business Value Identifies ways for team members to better engage in knowledge-sharing and collaboration across teams Demonstrates positive attitude and supports the team through challenging situations Holds discussions with stakeholders to gather additional details to ensure inclusion of all relevant concerns Expertise in Adobe Creative Suite (Photoshop, Illustrator, After Effects, Premiere Pro) and other relevant design and animation software. Strong conceptual thinking and ability to translate ideas into visually compelling designs. High level of accuracy and attention to detail in all aspects of design work. Excellent verbal and written communication skills, with the ability to articulate creative ideas and feedback clearly. Strong problem-solving skills and the ability to think critically and creatively. Proven ability to lead and inspire a creative team, fostering a collaborative and innovative work environment. Extensive knowledge and experience in terms of fundamentals (typography, composition, color theory, layout, balance, etc.) and universal interaction principles. Design fundamentals; solid typography, composition and obsessive attention to detail. Roles and Responsibilities: Creates\conceptualize layouts, designs and storyboards for TV/radio campaigns, Digital Campaigns (Website, Newsletter, Banner) and Print Campaigns (Flyer, OOH, etc.) in collaboration with the copywriter. Conceptualize templates/styles for client brands. Provides creative direction and accurate time estimations of design tasks. Research graphics trends to apply creative concepts strategically. Conceptualize advanced, beautiful and strategically creative comps for different solutions and proposals. Pitches concepts clearly and effectively. Ensuring the integrity and consistency of the brand. Communicates with client to discuss and finalize the design of grids and layouts. Responsible for achievement of quality standards for assigned deliverables. Makes recommendations for improvements in reports, tools, processes and assigned tasks pertinent to the design capability. Negotiate deadline changes when needed due to changes in client requirements. Create Visual Approach document as requested by client, including graphic and animation prototypes A strong portfolio that demonstrates beautiful & strategically creative solutions. Lead and inspire a team of graphic designers and motion graphic designers to create compelling visual content that aligns with brand strategy and objectives. Develop innovative concepts and design strategies for a variety of multimedia projects, including branding, advertising, social media, and video production. Oversee the creation of high-quality graphic design and motion graphics projects, ensuring they meet brand standards and project requirements. Work closely with cross-functional teams, including marketing, product, and development, to ensure cohesive and effective visual communication. Manage multiple projects simultaneously, ensuring timely delivery and adherence to project timelines and budgets. Review and provide constructive feedback on design work, maintaining high standards of quality and consistency. Stay updated on the latest design trends, tools, and technologies, and integrate them into the creative process. Mentor and guide junior designers, fostering an environment of continuous learning and improvement.

Skill required: Marketing Operations - Creative Design Designation: Creative Production Associate Manager Qualifications: Any Graduation Years of Experience: 10 to 14 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services. Role requires Digital Marketing Ads & Promotion creation/design Creative design is a process that uses digital and physical design tools and core design training to create comps and final art that bring creative concepts to life for marketing purposes. What are we looking for? Managing Work Exerts positive influence on both immediate project team members and external stakeholders Assumes responsibility for the accuracy of work processes and flow of tasks Proactively identifies and mitigates risks and assigns appropriate owners to prevent issues and enhance performance Guides research efforts of teams, recognizing when to apply inference, creativity and experience Understands/defines the various roles that respective teams play in the project/process Communicating Effectively Prepares clear and concise executive summary to communicate with leadership Creates communication strategy for the team/project with clear objectives and expectations Understands and factors in the cultural diversity of the audience when planning communications Creates an open environment that encourages team to participate actively and offer new ideas Creating Business Value Identifies ways for team members to better engage in knowledge-sharing and collaboration across teams Demonstrates positive attitude and supports the team through challenging situations Holds discussions with stakeholders to gather additional details to ensure inclusion of all relevant concerns Expertise in Adobe Creative Suite (Photoshop, Illustrator, After Effects, Premiere Pro) and other relevant design and animation software. Strong conceptual thinking and ability to translate ideas into visually compelling designs. High level of accuracy and attention to detail in all aspects of design work. Excellent verbal and written communication skills, with the ability to articulate creative ideas and feedback clearly. Strong problem-solving skills and the ability to think critically and creatively. Proven ability to lead and inspire a creative team, fostering a collaborative and innovative work environment. Extensive knowledge and experience in terms of fundamentals (typography, composition, color theory, layout, balance, etc.) and universal interaction principles. Design fundamentals; solid typography, composition and obsessive attention to detail. Roles and Responsibilities: Creates\conceptualize layouts, designs and storyboards for TV/radio campaigns, Digital Campaigns (Website, Newsletter, Banner) and Print Campaigns (Flyer, OOH, etc.) in collaboration with the copywriter. Conceptualize templates/styles for client brands. Provides creative direction and accurate time estimations of design tasks. Research graphics trends to apply creative concepts strategically. Conceptualize advanced, beautiful and strategically creative comps for different solutions and proposals. Pitches concepts clearly and effectively. Ensuring the integrity and consistency of the brand. Communicates with client to discuss and finalize the design of grids and layouts. Responsible for achievement of quality standards for assigned deliverables. Makes recommendations for improvements in reports, tools, processes and assigned tasks pertinent to the design capability. Negotiate deadline changes when needed due to changes in client requirements. Create Visual Approach document as requested by client, including graphic and animation prototypes A strong portfolio that demonstrates beautiful & strategically creative solutions. Lead and inspire a team of graphic designers and motion graphic designers to create compelling visual content that aligns with brand strategy and objectives. Develop innovative concepts and design strategies for a variety of multimedia projects, including branding, advertising, social media, and video production. Oversee the creation of high-quality graphic design and motion graphics projects, ensuring they meet brand standards and project requirements. Work closely with cross-functional teams, including marketing, product, and development, to ensure cohesive and effective visual communication. Manage multiple projects simultaneously, ensuring timely delivery and adherence to project timelines and budgets. Review and provide constructive feedback on design work, maintaining high standards of quality and consistency. Stay updated on the latest design trends, tools, and technologies, and integrate them into the creative process. Mentor and guide junior designers, fostering an environment of continuous learning and improvement.

RazerTech Consulting is mandated to hire a Technical Lead for a US based Tech Company that offers a cloud-based, AI-powered image editing and automation platform for leading brands in ecommerce, fashion, marketplaces & photo studios. The platform helps creatives and marketers produce stunningly consistent imagery and video content at scale. Role Overview : Were looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI while integrating visual AI pipelines built by ML engineers. Youll be both a builder and a leader : writing clean Java and TypeScript/Node.js, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. Ideally, youre also familiar with Python for deploying ML pipelines. (Note : This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What Youll Do : Lead development of the Java, Node.js and Python (FastAPI) backend services on AWS Build high-performance image processing pipelines using ImageMagick, SharpJS, and SVG manipulation Implement automated visual content generation using Headless Chrome and Puppeteer or similar tools. Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2 . Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX teams to translate business needs and PRDs into features that drive productmarket fit. Make architecture and infrastructure decisions from media processing to task queues to storage Own the performance and cost-optimization of our AWS platform Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables you write clean, tested code and validated deliverables through real-world customer-fit testing. The ability to frame problems from scratch and work without strict handoffs - you build from a goal, not a ticket Must have Skills : Backend Development (5-7 years) : Java, Node.js, TypeScript, RESTful API, Docker AWS Expertise (5+ years) : AWS Lambda, ECS, EC2, S3, DynamoDB, CloudWatch, IAM, roles Image Processing & Media Technologies : ImageMagick, SharpJS, SVG manipulation and programmatic generation, Headless Chrome, Puppeteer System Optimization & Middleware (3-5 years) : AWS cloud cost optimization, Celery, BullMQ, AWS Step Functions Frontend Development (2-3 years) : React, TypeScript, Redux, Context API, CI/CD pipelines. System Design & Architecture (4-6 years) : Event-driven architectures using queues, microservices-based systems, caching strategies (e.g., Redis, CDN edge caching) Leadership & Communication (2-3 years) : Lead engineering teams and drive project delivery

Role : VPN Engineer. Location : Gurgaon. Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a VPN Engineer for our team in Gurugram. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analyzing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. As a VPN Engineer, you will be responsible for managing and maintaining the firm's Virtual Private Network (VPN) infrastructure, which is crucial to the success of our high frequency trading operations. You will work closely with other members of the IT team to ensure the security and reliability of our network infrastructure. Responsibilities Design, configure, and implement VPN solutions to support the firm's high frequency trading operations. Manage and maintain the VPN infrastructure, including hardware and software components. Troubleshoot network connectivity and performance issues. Ensure the security and compliance of the VPN infrastructure with industry best practices and regulatory requirements. Collaborate with other members of the IT team to implement network enhancements and new technologies. Participate in the on-call rotation for network support. Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. At least 2-3 years of experience in network engineering, with a focus on VPN Technologies. Experience on site-to-site VPN tunnel, DMVPN, etc. Experience working on ACLs on different networking devices (switches, firewalls and routers) and implementing it without any downtime. Experience with VPN solutions such as Cisco AnyConnect, Juniper Pulse, and OpenVPN. In-depth understanding of network protocols, including TCP/IP, routing, and switching. Knowledge of NAT, PAT and PBR. Knowledge of network security technologies, such as firewalls, intrusion detection/prevention systems, and endpoint security solutions. Knowledge of basic linux and bash scripting. Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Ability to work independently and as part of a team. Preferred Qualifications Industry certifications such as CCNA, CCNP will be an added advantage. Familiarity with high frequency trading operations and requirements. Experience with network automation and scripting languages such as Python or Perl. Benefits Our open and casual work culture gives you the space to innovate and deliver. Our cubicle free offices , disdain for bureaucracy and insistence to hire the very best creates a melting pot for great ideas and technology innovations. Everyone on the team is approachable, there is nothing better than working with friends! Our perks have you covered. Competitive compensation. 6 Weeks of paid vacation. Regular after work parties. Top of the line health insurance for family. (ref:hirist.tech)

We are looking for a Full-Stack AI Developer with expertise in Generative AI and Large Language Models (LLMs) to lead the design and development of AI-driven applications. This role demands strong full-stack capabilities-ranging from intuitive front-end design to training and deploying backend AI models and managing scalable infrastructure. Key Responsibilities Development Design and build intuitive, user-friendly interfaces for AI-powered applications. Utilize modern web frameworks (e.g., React, Vue.js) to develop responsive UI/UX. Optimize front-end performance and ensure cross-browser Development : Develop robust, scalable backend systems for AI model deployment. Design and maintain RESTful APIs for seamless front-end and back-end integration. Manage cloud-based infrastructure using platforms like AWS or Azure. AI Model Development Train, fine-tune, and deploy cutting-edge generative AI and LLM models. Use frameworks such as TensorFlow and PyTorch for deep learning model development. Build efficient inference pipelines for low-latency Engineering : Design and maintain data pipelines for model training and evaluation. Perform preprocessing and cleaning of large datasets to enhance model performance. Implement data versioning, monitoring, and reproducibility Qualifications : Graduate degree in Computer Science, AI, Machine Learning, or a related field. 5+ years of full-stack development experience. 2+ years of hands-on experience in AI/ML, especially with generative AI and LLMs. Strong grasp of machine learning algorithms and NLP techniques. Proficiency in Python and deep learning frameworks (e.g., TensorFlow, & Competencies : Strong problem-solving and architectural design abilities. Excellent communication and cross-functional collaboration skills. Self-motivated with the ability to manage multiple projects simultaneously. Passion for learning and keeping up with the latest trends in AI/ML and LLMs (ref:hirist.tech)

Job Summary Strategic & Leadership-Level GenAI Skills AI Solution Architecture Designing scalable GenAI systems (e.g. RAG pipelines multi-agent systems). Choosing between hosted APIs vs open-source models. Architecting hybrid systems (LLMs + traditional software). Model Evaluation & Selection Benchmarking models (e.g. GPT-4 Claude Mistral LLaMA). Understanding trade-offs: latency cost accuracy context length. Using tools like LM Evaluatio Responsibilities Strategic & Leadership-Level GenAI Skills AI Solution Architecture Designing scalable GenAI systems (e.g. RAG pipelines multi-agent systems). Choosing between hosted APIs vs open-source models. Architecting hybrid systems (LLMs + traditional software). Model Evaluation & Selection Benchmarking models (e.g. GPT-4 Claude Mistral LLaMA). Understanding trade-offs: latency cost accuracy context length. Using tools like LM Evaluation Harness OpenLLM Leaderboard etc. Enterprise-Grade RAG Systems Designing Retrieval-Augmented Generation pipelines. Using vector databases (Pinecone Weaviate Qdrant) with LangChain or LlamaIndex. Optimizing chunking embedding strategies and retrieval quality. Security Privacy & Governance Implementing data privacy access control and audit logging. Understanding risks: prompt injection data leakage model misuse. Aligning with frameworks like NIST AI RMF EU AI Act or ISO/IEC 42001. Cost Optimization & Monitoring Estimating and managing GenAI inference costs. Using observability tools (e.g. Arize WhyLabs PromptLayer). Token usage tracking and prompt optimization. Advanced Technical Skills Model Fine-Tuning & Distillation Fine-tuning open-source models using PEFT LoRA QLoRA. Knowledge distillation for smaller faster models. Using tools like Hugging Face Axolotl or DeepSpeed. Multi-Agent Systems Designing agent workflows (e.g. AutoGen CrewAI LangGraph). Task decomposition memory and tool orchestration. Toolformer & Function Calling Integrating LLMs with external tools APIs and databases. Designing tool-use schemas and managing tool routing. Team & Product Leadership GenAI Product Thinking Identifying use cases with high ROI. Balancing feasibility desirability and viability. Leading GenAI PoCs and MVPs. Mentoring & Upskilling Teams Training developers on prompt engineering LangChain etc. Establishing GenAI best practices and code reviews. Leading internal hackathons or innovation sprints.

Lead Assistant Manager – Data Scientist (NLP & Generative AI) Location: PAN India / Remote Employment Type: Full-time About The Role We are looking for a motivated Data Scientist with 5+ years of experience in machine learning and data science, focusing on NLP and Generative AI. You will contribute to the design, development, and deployment of AI solutions centered on Large Language Models (LLMs) and agentic AI technologies, including Google ADK, Agent Engine, and Gemini. This role involves working closely with senior leadership to build scalable, real-time inference systems and intelligent applications. Key Responsibilities Lead the architecture, development, and deployment of scalable machine learning and AI systems centered on real-time LLM inference for concurrent users. Design, implement, and manage agentic AI frameworks leveraging Google Adk, Langgraph or custom-built agents. Integrate foundation models (GPT, LLaMA, Claude, Gemini) and fine-tune them for domain-specific intelligent applications. Build robust MLOps pipelines for end-to-end lifecycle management of models—training, testing, deployment, and monitoring. Collaborate with DevOps teams to deploy scalable serving infrastructures using containerization (Docker), orchestration (Kubernetes), and cloud platforms. Drive innovation by adopting new AI capabilities and tools, such as Google Gemini, to enhance AI model performance and interaction quality. Partner cross-functionally to understand traffic patterns and design AI systems that handle real-world scale and complexity. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related fields. 5+ years in ML engineering, applied AI, or data scientist roles. Strong programming expertise in Python and frameworks including PyTorch, TensorFlow, Hugging Face Transformers. Deep experience with NLP, Transformer models, and generative AI techniques. Hands-on experience deploying AI models to concurrent users with high throughput and low latency. Skilled in cloud environments (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG). Experience with agentic AI using Adk, LangChain, Langgraph and Agent Engine Preferred Qualifications Experience with Google Gemini and other advanced LLM innovations. Contributions to open-source AI/ML projects or participation in applied AI research. Knowledge of hardware acceleration and GPU/TPU-based inference optimization.

Senior Manager – Senior Data Scientist (NLP & Generative AI) Location: PAN India / Remote Employment Type: Full-time About The Role We are seeking a highly experienced Senior data scientist with 8+ years of expertise in machine learning, focusing on NLP, Generative AI, and advanced LLM ecosystems. This role demands leadership in designing and deploying scalable AI systems leveraging the latest advancements such as Google ADK, Agent Engine, and Gemini LLM. You will spearhead building real-time inference pipelines and agentic AI solutions that power complex, multi-user applications with cutting-edge technology. Key Responsibilities Lead the architecture, development, and deployment of scalable machine learning and AI systems centered on real-time LLM inference for concurrent users. Design, implement, and manage agentic AI frameworks leveraging Google Adk, Langgraph or custom-built agents. Integrate foundation models (GPT, LLaMA, Claude, Gemini) and fine-tune them for domain-specific intelligent applications. Build robust MLOps pipelines for end-to-end lifecycle management of models—training, testing, deployment, and monitoring. Collaborate with DevOps teams to deploy scalable serving infrastructures using containerization (Docker), orchestration (Kubernetes), and cloud platforms. Drive innovation by adopting new AI capabilities and tools, such as Google Gemini, to enhance AI model performance and interaction quality. Partner cross-functionally to understand traffic patterns and design AI systems that handle real-world scale and complexity. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related fields. 7+ years in ML engineering, applied AI, or senior data scientist roles. Strong programming expertise in Python and frameworks including PyTorch, TensorFlow, Hugging Face Transformers. Deep experience with NLP, Transformer models, and generative AI techniques. Practical knowledge of LLM inference scaling with tools like vLLM, Groq, Triton Inference Server, and Google ADK. Hands-on experience deploying AI models to concurrent users with high throughput and low latency. Skilled in cloud environments (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG). Experience with agentic AI using Adk, LangChain, Langgraph and Agent Engine Preferred Qualifications Experience with Google Gemini and other advanced LLM innovations. Contributions to open-source AI/ML projects or participation in applied AI research. Knowledge of hardware acceleration and GPU/TPU-based inference optimization. Exposure to event-driven architectures or streaming pipelines (Kafka, Redis).

Position Overview Job Title: AI Engineer Location: Pune , India Role Description Indra is the central program driving the introduction and safe scaling of AI at DB. Focus is identify AI potential across various banking operations, driving funded use cases into production to create value and confidence and scale across the bank, creating selected shared services with embedded safety to enable low cost scale, developing an AI Workbench for developers for safe AI development at pace, and introducing AI controls whilst aiming to maintain time to market. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Model Deployment: Collaborate with data scientists to deploy machine learning models into production environments. Implement deployment strategies such as A/B testing or canary releases to ensure safe and controlled rollouts. Infrastructure Management: Design and manage the infrastructure required for hosting ML models, including cloud resources and on-premises servers. Utilize containerization technologies like Docker to package models and dependencies. Continuous Integration/Continuous Deployment (CI/CD): Develop and maintain CI/CD pipelines for automating the testing, integration, and deployment of ML models. Implement version control to track changes in both code and model artifacts. Monitoring and Logging: Establish monitoring solutions to track the performance and health of deployed models. Set up logging mechanisms to capture relevant information for debugging and auditing purposes. Scalability and Resource Optimization: Optimize ML infrastructure for scalability and cost-effectiveness. Implement auto-scaling mechanisms to handle varying workloads efficiently. Security and Compliance: Enforce security best practices to safeguard both the models and the data they process. Ensure compliance with industry regulations and data protection standards. Data Management: Oversee the management of data pipelines and data storage systems required for model training and inference. Implement data versioning and lineage tracking to maintain data integrity. Collaboration with Cross-Functional Teams: Work closely with data scientists, software engineers, and other stakeholders to understand model requirements and system constraints. Collaborate with DevOps teams to align MLOps practices with broader organizational goals. Performance Optimization: Continuously optimize and fine-tune ML models for better performance. Identify and address bottlenecks in the system to enhance overall efficiency. Documentation: Maintain clear and comprehensive documentation of MLOps processes, infrastructure, and model deployment procedures. Document best practices and troubleshooting guides for the team. Your Skills And Experience University degree in a technical or quantitative field (e.g., computer science, mathematics, physics, economics, etc.), preferably a Master’s or Doctoral degree 2-4 years of experience in applying AI, machine learning and/or data science in business and/or academia. Strong knowledge of at least one programming language (e.g., Python, JavaScript) and relevant data science or engineering framework (e.g., scikit-learn, TensorFlow, Spark, etc.). Ideally, practical experience in finance and banking Comfortable working with and managing uncertainty and ambiguity Excellent oral and written communication skills in English How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.