2043 Inference Jobs - Page 13

As an AI intern at Atomo Innovation PVT Ltd, you will have the exciting opportunity to work with cutting-edge technologies and contribute to innovative projects that are shaping the future. We are looking for a passionate individual who is well-versed in Python, Data Structures, Data Science, Machine Learning, NLP, Neural Networks, AI, and Deep Learning. Selected Intern's Day-to-day Responsibilities Include Assist in the development and implementation of AI algorithms and models. Conduct research and analysis to improve existing AI systems. Collaborate with the team to brainstorm and problem-solve for AI solutions. Work on data preprocessing and cleaning for AI projects. Support the implementation of NLP techniques for text analysis. Participate in training and testing of neural networks for various tasks. Stay updated with the latest trends and advancements in AI technology. If you are a motivated individual with a passion for AI and a desire to gain valuable hands-on experience in the field, then this internship opportunity at Atomo Innovation PVT Ltd is perfect for you. Join us in pushing the boundaries of AI innovation and making a meaningful impact on the world. About Company: Atomo Innovation Pvt. Ltd., an Indian deep-tech company developing low-power, modular edge computing devices integrated with onboard Neural Processing Unit (NPU) and multi-protocol support including BLE, Zigbee, Wi-Fi, RF, IR, Thread, and Matter. Our innovation combines efficient hardware with a lightweight operating system, AtomicOS, optimized for secure, real-time decision-making and edge-level AI inference.

Svitla Systems Inc. is looking for a Senior ML/AI Engineer for a full-time position (40 hours per week) in India. Our client is a leading online training provider. The company offers 7,000+ regulated and non-regulated courses for career development and has 11+ million learners in 67 countries. The robust e-learning platform supports multimedia content, quizzes, and assessments. Courses are accessible on various devices, including smartphones and tablets. There are regular updates to course content to reflect the latest industry standards and regulations. It is a reliable and reputable company that provides various online training and certification programs across multiple industries, such as real estate, food and beverage, environmental health and safety, and more. Established in 1997 and headquartered in Austin, Texas, USA, they have earned accreditation from esteemed organizations and regulatory bodies like the International Accreditors for Continuing Education and Training (IACET), ANSI National Accreditation Board (ANAB), and the Texas Real Estate Commission (TREC), among others Project Overview Domain: AI-powered online proctoring for remote examinations Goal: Develop a high-availability, scalable platform to replace an outdated legacy system Team: Cross-functional Agile team including AI/ML Engineer, Solution Architect, Backend Developer, and DevOps Engineer Collaboration: Work closely with technical stakeholders to integrate AI capabilities into a secure and compliant platform Key Responsibilities: Identity verification, Gaze tracking, Environment validation, Speech analysis, Behavioral anomaly detection; Design, implement, and optimize AI services and models Technology Stack Programming Language: Python ML Frameworks: PyTorch, TensorFlow, Scikit-learn Cloud Platform: Microsoft Azure Azure Services: Azure AI Speech, Azure Vision, Azure Custom Vision, Azure Machine Learning Studio, Azure Face API, Azure Bot Service, Azure Cognitive Services Requirements 4+ years of experience in ML/AI engineering, preferably in Computer Vision, Speech Processing, or Biometric Systems. Practical experience with Azure (preferably) or other cloud solutions for AI Speech, Vision & Face API. Proficiency in Python and popular ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, Anomalib) Familiar with video processing models (Video Swin Transformer, X3D), facial landmarks detection frameworks (MediaPipe, MMPose), and speech technologies (STT, Speaker Diarization). Experience with Azure cloud is a huge plus, but AWS will also work Understanding of the risks and ethics involved in facial recognition and behavioral tracking Strong problem-solving and debugging skills, with a proactive mindset Advanced English (written and verbal) for daily communication Working Hours: 8 hours per day, flexible schedule Responsibilities Use Azure AI Speech for real-time speech-to-text transcription and audio quality analysis during exam sessions. Apply Azure AI Vision to enable prohibited item detection, OCR, and face analysis. Support Azure Bot Service integration for intelligent, rule-based chat communication. Work with the DevOps Engineer to streamline AI model deployment and infrastructure setup. Train, evaluate, and deploy object detection models using Azure Custom Vision (e.g., screen reflection, background faces, ID inspection). Maintain skeletal tracking models for analyzing head and eye movement, enabling gaze anomaly detection and timeline flagging. Fine-tune Face API to perform ID-to-headshot matching at session start and enable continuous identity validation throughout the exam. Collaborate with backend developers to deliver AI inference results via APIs, powering real-time proctor dashboards and session reports. Monitor model performance, manage versioning and retraining workflows, and optimize for accuracy and reliability in edge cases. We offer US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Annual performance appraisals. Remote-friendly culture and no micromanagement. Personalized learning program tailored to your interests and skill development. Bonuses for article writing, public talks, other activities. 15 PTO days, 10 national holidays. Free webinars, meetups and conferences organized by Svitla. Fun corporate celebrations and activities. Awesome team, friendly and supportive community!

Role - MLOps Location - Remote Experience - 5 + Yrs Responsibilities: ● Build and optimize model serving infrastructure with a focus on inference latency and cost optimization ● Architect efficient inference pipelines that balance latency, throughput, and cost across various acceleration options ● Develop monitoring and observability solutions for ML systems ● Collaborate with ML Engineers to establish best practices for optimized model deployment ● Implement cost-efficient, enterprise-scale solutions ● Collaborate in a cross-functional, distributed team for continuous system improvement ● Work with MLEs, QA Engineers, and DevOps Engineers ● Evaluate and implement new technologies and tools ● Contribute to architectural decisions for distributed ML systems Experience and Qualifications: ● 5+ years of experience in software engineering with Python ● Experience with ML frameworks, particularly PyTorch ● Experience optimizing ML models with hardware acceleration (AWS Neuron , ONNX, TensorRT) ● Experience with AWS ML services and hardware-accelerated instances (Sagemaker, Inferentia, Trainium) ● Proven experience building and operating AWS serverless architectures ● Deep understanding of event-driven processing patterns, SQS/SNS and serverless caching solutions ● Experience with containerization using Docker and orchestration tools ● Strong knowledge of RESTful API design and implementation ● Proficiency in writing good quality & secure code and be familiar with static code analysis tools ● Excellent analytical, conceptual and communication skills in spoken and written English ● Experience applying Computer Science fundamentals in algorithm design, problem solving, and complexity analysis

We have an urgent and high-priority requirement for a Java Developer + AI/ML 🔍 Position Details • Location – Hyderabad • Hybrid work model – 12 days from Hyderabad Infosys office every month and rest of the days work from home • Immediate Joiners only • Long term opportunity if performance is good • Mode of Interview – In person in Infosys Hyderabad Office. Job Description: • Java + AI/ML role required with at least 5+ years of industry experience on Java, Spring Boot, Spring Data & at least 2 years of AI/ML project / professional experience. • Strong experience in building and consuming REST APIs and asynchronous messaging (Kafka/RabbitMQ). • Working experience in integrating AI/ML models into Java services or calling external ML endpoints (REST/gRPC). • Understanding of ML lifecycle: training, validation, inference, monitoring, and retraining. • Familiarity with tools like TensorFlow, PyTorch, Scikit-Learn, or ONNX. • Prior experience in domain-specific ML implementations (e.g., fraud detection, recommendation systems, NLP chatbots) • Experience working with data formats like JSON, Parquet, Avro, and CSV. • Solid understanding of database systems – both SQL (PostgreSQL, MySQL) and NoSQL (Redis). • Integrate machine learning models (batch and real-time) into backend systems and APIs. • Optimize and automate AI/ML workflows using MLOps best practices. • Monitor and manage model performance, versioning, and rollbacks. • Collaborate with cross-functional teams (DevOps, SRE, Product Engineering) to ensure seamless deployment. • Exposure to MLOps tools like MLflow, Kubeflow, or Seldon. • Experience with any 1 of the cloud platforms, preferably AWS & Knowledge of observability tools & its metrics, events, logs, and traces (for e.g., Prometheus, Grafana, Open Telemetry, Splunk, Data Dog, App Dynamics, etc..). Thanks, and Regards Snehil Mishra snehil@ ampstek.com linkedin.com/in/snehil-mishra-1104b2154 Desk-6093602673Extension-125 www.ampstek.com https://www.linkedin.com/company/ampstek/jobs/ Ampstek – Global IT Partner Registered Offices: North America and LATM: USA|Canada|Costa Rica|Mexico Europe:UK|Germany|France|Sweden|Denmark|Austria|Belgium|Netherlands|Romania|Poland|Czeh Republic|Bulgaria|Hungary|Ireland|Norway|Croatia|Slovakia|Portugal|Spain|Italy|Switzerland|Malta| Portugal APAC:Australia|NZ|Singapore|Malaysia|South Korea|Hong Kong|Taiwan|Phillipines|Vietnam|Srilanka|India MEA :South Africa|UAE|Turkey|Egypt

Overview Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments. Responsibilities Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope Active contributor to code & development in projects and services Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. Partner with ML engineers working on industrialization. Communicate with business stakeholders in the process of service design, training and knowledge transfer. Support large-scale experimentation and build data-driven models. Refine requirements into modelling problems. Influence product teams through data-based recommendations. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create reusable packages or libraries. Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards Leverage big data technologies to help process data and build scaled data pipelines (batch to real time) Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines Automate ML models deployments Qualifications BE/B.Tech in Computer Science, Maths, technical fields. Overall 2-4 years of experience working as a Data Scientist. 2+ years’ experience building solutions in the commercial or in the supply chain space. 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus. Fluent in SQL syntaxis. 2+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. 2+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development. Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus Programming Skills - Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators Cloud (Azure) - Experience in Databricks and ADF is desirable Familiarity with Spark, Hive, Pig is an added advantage Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool. Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities Experience with Agile methodology for team work and analytics ‘product’ creation. Experience in Reinforcement Learning is a plus. Experience in Simulation and Optimization problems in any space is a plus. Experience with Bayesian methods is a plus. Experience with Causal inference is a plus. Experience with NLP is a plus. Experience with Responsible AI is a plus. Experience with distributed machine learning is a plus Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred) Model deployment experience is a plus Experience with version control systems like GitHub and CI/CD tools Experience in Exploratory data Analysis Knowledge of ML Ops / DevOps and deploying ML models is preferred Experience using MLFlow, Kubeflow etc. will be preferred Experience executing and contributing to ML OPS automation infrastructure is good to have Exceptional analytical and problem-solving skills Stakeholder engagement-BU, Vendors. Experience building statistical models in the Retail or Supply chain space is a plus

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Assistant Vice President– Generative AI – Systems Architect Role Overview: We are looking for an experienced Systems Architect with extensive experience in designing and scaling Generative AI systems to production. This role requires an individual with deep expertise in system architecture, software engineering, data platforms, and AI infrastructure, who can bridge the gap between data science, engineering and business. You will be responsible for end-to-end architecture of Gen.AI systems including model lifecycle management, inference, orchestration, pipelines Key Responsibilities: Architect and design end-to-end systems for production-grade Generative AI applications (e.g., LLM-based chatbots, copilots, content generation tools). Define and oversee system architecture covering data ingestion, model training/fine-tuning, inferencing, and deployment pipelines. Establish architectural tenets like modularity, scalability, reliability, observability, and maintainability. Collaborate with data scientists, ML engineers, platform engineers, and product managers to align architecture with business and AI goals. Choose and integrate foundation models (open source or proprietary) using APIs, model hubs, or fine-tuned versions. Evaluate and design solutions based on architecture patterns such as Retrieval-Augmented Generation (RAG), Agentic AI, Multi-modal AI, and Federated Learning. Design secure and compliant architecture for enterprise settings, including data governance, auditability, and access control. Lead system design reviews and define non-functional requirements (NFRs), including latency, availability, throughput, and cost. Work closely with MLOps teams to define the CI /CD processes for model and system updates. Contribute to the creation of reference architectures, design templates, and reusable components. Stay abreast of the latest advancements in GenAI , system design patterns, and AI platform tooling. Qualifications we seek in you! Minimum Qualifications Proven experience designing and implementing distributed systems, cloud-native architectures, and microservices. Deep understanding of Generative AI architectures, including LLMs, diffusion models, prompt engineering, and model fine-tuning. Strong experience with at least one cloud platform (AWS, GCP, or Azure) and services like SageMaker, Vertex AI, or Azure ML. Experience with Agentic AI systems or orchestrating multiple LLM agents. Experience with multimodal systems (e.g., combining image, text, video, and speech models). Knowledge of semantic search, vector databases, and retrieval techniques in RAG. Familiarity with Zero Trust architecture and advanced enterprise security practices. Experience in building developer platforms/toolkits for AI consumption. Contributions to open-source AI system frameworks or thought leadership in GenAI architecture. Hands-on experience with tools and frameworks like LangChain , Hugging Face, Ray, Kubeflow, MLflow , or Weaviate /FAISS. Knowledge of data pipelines, ETL/ELT, and data lakes/warehouses (e.g., Snowflake, BigQuery , Delta Lake). Solid grasp of DevOps and MLOps principles, including containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, and model monitoring. Familiarity with system design tradeoffs in latency vs cost vs scale for GenAI workloads. Preferred Qualifications: Bachelor’s or Master’s degree in computer science, Engineering, or related field. Experience in software/system architecture, with experience in GenAI /AI/ML. Proven experience designing and implementing distributed systems, cloud-native architectures, and microservices. Strong interpersonal and communication skills; ability to collaborate and present to technical and executive stakeholders. Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, Google Cloud Professional Data Engineer). Familiarity with data governance and security best practices. Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Assistant Vice President Primary Location India-Hyderabad Schedule Full-time Education Level Master's / Equivalent Job Posting Jul 21, 2025, 2:57:18 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

We’re actively hiring at Plutus Analytics! Role: GenAI Research Intern Notice: Immediate Joiner Experience: 0-1 year Location: Kolkata We are currently accepting application for the position of GenAI Research Intern. This is a 6 months on job learning program followed by full time engagement. Applicants passionate for innovation with programming skills welcome to apply. Why join us? Plutus Analytics is an equal opportunity employer and recognized by Start-Up India in Artificial Intelligence. Empower employees with no or less experience with 360º skill development. Opportunity to work on hybrid mode, Flexible work timings, Employee engagement initiative that impact communities and most importantly work on world class problems. Requirements/Key Responsibilities: · Strong background in AI, with hands-on experience developing natural language or other multimodal models. · Work on large language model (LLM) training pipelines, implement efficient inference strategies, writing reusable code, running evaluations and organizing results. Experience in developing AI-driven applications for real-world industry use cases. · Knowledge of best practices in software development, including version control-GIT, code reviews, and continuous integration. · Bachelor's or Master's degree in Computer Science and relevant technical field, however we encourage applications from all qualified candidates. Preferred: · Research work or publications in AI or any related field. How to apply: Please share your resume to contact@plutusanalytics.co.in

Change the world. Love your job. Your career starts here! This is an exciting opportunity to design and develop innovative software solutions that drive TI's revolutionary product lines. We change lives by working on the technologies that people use every day. Are you ready for the challenge? As a Software Engineer, you'll become a key contributor, where your skills and input make a big difference. In this role, you'll design embedded software and development tools that will be used to test products. You'll write code that tells chips how to operate in revolutionary new ways. And, you'll work closely with business partners and customers, as well as TI's marketing, systems and applications engineering teams, to collaborate and solve business problems. QUALIFICATIONS Minimum Requirements: 4-8 years of relative experience Degree in Electrical Engineering, Computer Engineering, Computer Science, Electrical and Computer Engineering, or related field Strong Embedded firmware skills and experience Strong Assembly, C and C++ programming skills Preferred Qualifications: Knowledge of software engineering processes and the full software development lifecycle Demonstrated strong analytical and problem solving skills Strong verbal and written communication skills Ability to work in teams and collaborate effectively with people in different functions Strong time management skills that enable on-time project delivery Demonstrated ability to build strong, influential relationships Ability to work effectively in a fast-paced and rapidly changing environment Ability to take the initiative and drive for results Great programmer: Programming skills in C/C++ and python, Modular and Object Oriented programming skills, familiarity with build systems – make, cmake, familiarity with Linux In-depth knowledge of embedded systems – VLIW and SIMD processor architecture, DMA, cache, memory architecture, inter process communication Working experience in machine learning technologies such as CNN, transformers, quantization algorithms and approaches for camera-based applications on embedded systems Working experience with DSPs (preferably TI DSPs) and hardware development boards/EVM for image/vision-based processing algorithms Good knowledge on machine learning frameworks (PyTorch), inference solution and exchange formats (ONNX, ONNX RunTime, protobufs) Basic knowledge of RTOS and Linux with exposure to debugging of embedded systems - familiarity with heterogeneous core architecture is added advantage Well verse with software development life cycle and efficient use of associated tools – Git, JIRA, bitbucket, Jenkins, containers (Dockers), CI/CD Strong Communication, documentation and writing skills ABOUT US Why TI? Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics. We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. About Texas Instruments Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com. Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. If you are interested in this position, please apply to this requisition. TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment. JOB INFO Job Identification 25001868 Job Category Engineering - Product Dev Posting Date 07/20/2025, 04:49 AM Degree Level Bachelor's Degree Locations BAN4 2,3rd and 4th Floors, Bangalore, 560093, IN ECL/GTC Required Yes

About the Role: We are seeking a highly skilled Senior Data Scientist with expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services. The ideal candidate will be responsible for designing, developing, and deploying advanced AI/ML models to drive data-driven decision-making. This role requires strong analytical skills, proficiency in AI/ML technologies, and experience with cloud-based solutions. Key Responsibilities: Design and develop ML, NLP, and GenAI models to solve complex business problems. Build, train, and optimize AI models using Python and relevant ML frameworks. Implement Azure AI/ML services for scalable deployment of models. Develop and integrate APIs for real-time model inference and decision-making. Work with large-scale data to extract insights and drive strategic initiatives. Collaborate with cross-functional teams, including Data Engineers, Software Engineers, and Product Teams, to integrate AI/ML solutions into applications. Implement CI/CD pipelines to automate model training, deployment, and monitoring. Ensure adherence to software engineering best practices and Agile methodologies in AI/ML projects. Stay updated on cutting-edge AI/ML advancements and continuously enhance models and algorithms. Conduct research on emerging AI/ML trends and contribute to the development of innovative solutions. Provide technical mentorship and guidance to junior data scientists. Optimize model performance and scalability in a production environment. Required Skills & Qualifications: Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Hands-on experience in NLP techniques, including transformers, embeddings, and text processing. Expertise in Generative AI models (GPT, BERT, LLMs, etc.). Strong knowledge of Azure AI/ML services, including Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. Experience in developing APIs for model deployment and integration. Familiarity with CI/CD pipelines for AI/ML models. Strong understanding of software engineering principles and best practices. Experience working in an Agile development environment. Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment. Strong background in statistical analysis, data mining, and data visualization. Preferred Qualifications: Experience in MLOps and automation of model lifecycle management. Knowledge of vector databases and retrieval-augmented generation (RAG) techniques. Exposure to big data processing frameworks (Spark, Hadoop). Strong ability to communicate complex ideas to technical and non-technical stakeholders. Experience with Graph Neural Networks (GNNs) and recommendation systems. Familiarity with AutoML frameworks and hyperparameter tuning strategies. Job Type: Full-time Pay: ₹800,000.00 - ₹1,100,000.00 per year Work Location: In person

ID: 346 | 2-5 yrs | Jaipur | careers AI Senior Engineer About the Role: We are looking for a highly capable AI Lead Engineer to contribute to the design and delivery of intelligent, scalable AI solutions. This role focuses on building production-grade systems involving LLMs, vector databases, agent-based workflows, and Retrieval-Augmented Generation (RAG) architectures on the cloud. The ideal candidate should demonstrate strong problem-solving abilities, hands-on technical skills, and the ability to align AI design with real-world business needs. Must-Have Skills Strong coding ability in Python and proficiency in SQL. Hands-on experience with vector databases (e.g., Pinecone, FAISS, Weaviate). Practical experience with LLMs (OpenAI, Claude, Gemini, etc.) in real-world workflows. Familiarity with LangChain, LlamaIndex, or similar orchestration tools. Proven track record in delivering scalable AI systems on public cloud (Azure, AWS, or GCP). Experience building and optimizing RAG pipelines. Solid understanding of server less/cloud-native architecture and event-driven design. Integrate/expose the ai solution in applications using fastapi,flask,django Preferred or Good to Have Skills Exposure to agentic AI patterns and multi-agent coordination. Knowledge of AI system safety practices (e.g., hallucination filtering, grounding). Experience with MLOps tools (MLflow, KubeFlow) and CI/CD for ML. Understanding of concept/data drift and retraining strategies in production. Experience working on AI projects involving classification , regression , and clustering models. Prior work on multi-modal AI pipelines (vision + language). Familiarity with real-time inference tuning (batching, concurrency). Demonstrated ability to deliver a variety of AI solutions in production environments across domains. Any Other: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field. Strong analytical mindset with a clear focus on business-aligned AI delivery. Excellent verbal and written communication skills. Key Responsibilities Collaborate with the Solution Architect to design agentic AI systems (e.g., ReAct, CodeAct, Self-Reflective Agents). Build and deploy scalable RAG pipelines using vector databases and embedding models. Integrate modern AI tools (e.g., LangChain, LlamaIndex, Kagi, Search APIs) into solution workflows. Optimize inference performance for cloud and edge environments. Contribute to the development of feedback loops, drift detection, and self-healing AI systems. Deploy, monitor, and manage AI solutions on cloud platforms (Azure, AWS, or GCP). Translate business use cases into robust technical solutions in collaboration with cross-functional teams.

Job Description Comfort level in following Python project management best practices (use of setup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,) High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open source packages to benchmark and derive summary Experience in using GPU/CPU of cloud and on-prem infrastructures Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs. Use of Dockers (experience in experimental docker features, docker-compose, etc.,) Familiarity with orchestration tools such as airflow, Kubeflow Experience in CI/CD, infrastructure as code tools like terraform etc. Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc., Ability to develop APIs with compliance, ethical, secure and safe AI tools. Good UI skills to visualize and build better applications using Gradio, Dash, Streamlit, React, Django, etc., Deeper understanding of javascript, css, angular, html, etc., is a plus. Responsibilities Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale. Data Engineering: Skillsets to perform distributed computing (specifically parallelism and scalability in Data Processing, Modeling and Inferencing through Spark, Dask, RapidsAI or RapidscuDF) Ability to build python-based APIs (e.g.: use of FastAPIs/ Flask/ Django for APIs) Experience in Elastic Search and Apache Solr is a plus, vector databases. Qualifications Education : Bachelor’s or Master’s Degree in Computer Science, Engineering, Maths or Science Performed any modern NLP/LLM courses/open competitions is also welcomed.

At Umami Bioworks, we are a leading bioplatform for the development and production of sustainable planetary biosolutions. Through the synthesis of machine learning, multi- omics biomarkers, and digital twins, UMAMI has established market-leading capability for discovery and development of cultivated bioproducts that can seamlessly transition to manufacturing with UMAMI’s modular, automated, plug-and-play production solution By partnering with market leaders as their biomanufacturing solution provider, UMAMI is democratizing access to sustainable blue bioeconomy solutions that address a wide range of global challenges. We’re a venture-backed biotech startup located in Singapore where some of the world’s smartest, most passionate people are pioneering a sustainable food future that is attractive and accessible to people around the world. We are united by our collective drive to ask tough questions, take on challenging problems, and apply cutting-edge science and engineering to create a better future for humanity. At Umami Bioworks, you will be encouraged to dream big and will have the freedom to create, invent, and do the best, most impactful work of your career. Umami Bioworks is looking to hire an inquisitive, innovative, and independent Machine Learning Engineer to join our R&D team in Bangalore, India, to develop scalable, modular ML infrastructure integrating predictive and optimization models across biological and product domains. The role focuses on orchestrating models for media formulation, bioprocess tuning, metabolic modeling, and sensory analysis to drive data-informed R&D. The ideal candidate combines strong software engineering skills with multi-model system experience, collaborating closely with researchers to abstract biological complexity and enhance predictive accuracy. Responsibilities Design and build the overall architecture for a multi-model ML system that integrates distinct models (e.g., media prediction, bioprocess optimization, sensory profile, GEM-based outputs) into a unified decision pipeline Develop robust interfaces between sub-models to enable modularity, information flow, and cross-validation across stages (e.g., outputs of one model feeding into another) Implement model orchestration logic to allow conditional routing, fallback mechanisms, and ensemble strategies across different models Build and maintain pipelines for training, testing, and deploying multiple models across different data domains Optimize inference efficiency and reproducibility by designing clean APIs and containerized deployments Translate conceptual product flow into technical architecture diagrams, integration roadmaps, and modular codebases Implement model monitoring and versioning infrastructure to track performance drift, flag outliers, and allow comparison across iterations Collaborate with data engineers and researchers to abstract away biological complexity and ensure a smooth ML-only engineering focus Lead efforts to refactor and scale ML infrastructure for future integrations (e.g., generative layers, reinforcement learning modules) Qualifications Bachelor’s or Master’s degree in Computer Science, Machine Learning, Computational Biology, Data Science, or a related field Proven experience developing and deploying multi-model machine learning systems in a scientific or numerical domain Exposure to hybrid modeling approaches and/or reinforcement learning strategies Experience Experience with multi-model systems Worked with numerical/scientific datasets (multi-modal datasets) Hybrid modelling and/or RL (AI systems) Core Technical Skills Machine Learning Frameworks: PyTorch, TensorFlow, scikit-learn, XGBoost, CatBoost Model Orchestration: MLflow, Prefect, Airflow Multi-model Systems: Ensemble learning, model stacking, conditional pipelines Reinforcement Learning: RLlib, Stable-Baselines3 Optimization Libraries: Optuna, Hyperopt, GPyOpt Numerical & Scientific Computing: NumPy, SciPy, panda Containerization & Deployment: Docker, FastAPI Workflow Management: Snakemake, Nextflow ETL & Data Pipelines: pandas pipelines, PySpark Data Versioning: Git API Design for modular ML blocks You will work directly with other members of our small but growing team to do cutting-edge science and will have the autonomy to test new ideas and identify better ways to do things.

This role is for one of Weekday's clients Salary range: Rs 1000000 - Rs 1500000 (ie INR 10-15 LPA) Min Experience: 5 years Location: Bengaluru JobType: full-time Requirements We are seeking a highly skilled and experienced Computer Vision Engineer to join our growing AI team. This role is ideal for someone with strong expertise in deep learning and a solid background in real-time video analytics, model deployment, and computer vision applications. You'll be responsible for developing scalable computer vision pipelines and deploying them across cloud and edge environments, helping build intelligent visual systems that solve real-world problems. Key Responsibilities: Model Development & Training: Design, train, and optimize deep learning models for object detection, segmentation, and tracking using frameworks like YOLO, UNet, Mask R-CNN, and Deep SORT. Computer Vision Applications: Build robust pipelines for computer vision applications including image classification, real-time object tracking, and video analytics using OpenCV, NumPy, and TensorFlow/PyTorch. Deployment & Optimization: Deploy trained models on Linux-based GPU systems and edge devices (e.g., Jetson Nano, Google Coral), ensuring low-latency performance and efficient hardware utilization. Real-Time Inference: Implement and optimize real-time inference systems, ensuring minimal delay in video processing pipelines. Model Management: Utilize tools like Docker, Git, and MLflow (or similar) for version control, environment management, and model lifecycle tracking. Collaboration & Documentation: Work cross-functionally with hardware, backend, and software teams. Document designs, architectures, and research findings to ensure reproducibility and scalability. Technical Expertise Required: Languages & Libraries: Advanced proficiency in Python and solid experience with OpenCV, NumPy, and other image processing libraries. Deep Learning Frameworks: Hands-on experience with TensorFlow, PyTorch, and integration with model training pipelines. Computer Vision Models: Object Detection: YOLO (all versions) Segmentation: UNet, Mask R-CNN Tracking: Deep SORT or similar Deployment Skills: Real-time video analytics implementation and optimization Experience with Docker for containerization Version control using Git Model tracking using MLflow or comparable tools Platform Experience: Proven experience in deploying models on Linux-based GPU environments and edge devices (e.g., NVIDIA Jetson family, Coral TPU). Professional & Educational Requirements: Education: B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or related discipline. Experience: Minimum 5 years of industry experience in AI/ML with a strong focus on computer vision and system-level design. Proven portfolio of production-level projects in image/video processing or real-time systems. Preferred Qualities: Strong problem-solving and debugging skills Excellent communication and teamwork capabilities A passion for building smart, scalable vision systems A proactive and independent approach to research and implementation

A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be an authentic and inclusive leader, at all grades/levels and in all lines of service. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Responsibilities As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities and coach to help deliver results. Develop new ideas and propose innovative solutions to problems. Use a broad range of tools and techniques to extract insights from from current trends in business area. Review your work and that of others for quality, accuracy and relevance. Share relevant thought leadership. Use straightforward communication, in a structured way, when influencing others. Able to read situations and modify behavior to build quality, diverse relationships. Uphold the firm's code of ethics and business conduct. Edu qualifications: BE / B Tech / MCA/ MTech Experience range: 5 - 10 years Skill - GW Testing - Senior Associate Job Description - Reviewing requirements / specifications / technical design documents Designing detailed, comprehensive and well-structured Test Plans and Test Cases Setting up Test Environment & Test Data Executing tests as needed throughout the project. Analyzing and reporting test results. Identifying and tracking defects through their lifecycle. Understanding of Integration - Technical Design Document and Use Case Testing experience of any one of the Guidewire products: PolicyCenter Experience on policy transactions, workflow ,Audits, forms inference Performing thorough testing [Smoke / System / Integration / Regression / Stabilization Possessing expertise in Test Management Tools like ALM / Jira

Job Title : Solution Architect – Application & AI Engineering Experience : 12+ years (Minimum 8 years of hands-on experience) Location : Mysuru, Karnataka Employment Type : Full-time About the Role We are seeking an experienced and forward-thinking Solution Architect with a strong background in application engineering and AI/ML systems. The ideal candidate should have deep technical expertise and hands-on experience in architecting scalable and secure solutions across web, API, database and cloud ecosystems (AWS or Azure). You will lead end-to-end architecture design efforts—transforming business requirements into robust, scalable, and secure digital products, while ensuring modern AI-driven capabilities are leveraged where applicable. Key Responsibilities Design and deliver scalable application architectures across microservices, APIs and backend databases. Collaborate with cross-functional teams to define solution blueprints combining application engineering and AI/ML requirements. Architect and lead implementation strategies for deploying applications on AWS or Azure using services such as ECS, AKS, Lambda, API Gateway, Azure App Services, Cosmos DB, etc. Guide engineering teams in application modernization, including monolith to microservices transitions, containerization and serverless. Define and enforce best practices around security, performance, and maintainability of solutions. Integrate AI/ML solutions (e.g., inference endpoints, custom LLMs, or ML Ops pipelines) within broader enterprise applications. Evaluate and recommend third-party tools, frameworks, or platforms for optimizing application performance and AI integration. Support pre-sales activities and client engagements with architectural diagrams, PoCs, and strategy sessions. Mentor engineering teams and participate in code/design reviews when necessary. Required Skills & Experience 12+ years of total experience in software/application engineering. 8+ years of hands-on experience in designing and developing distributed applications. Strong knowledge in backend technologies like Python, Node.js, or .NET; and API-first design (REST/GraphQL). Strong understanding of relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, etc.). Experience with DevOps practices, CI/CD pipelines, and infrastructure as code (Terraform, CloudFormation, etc.). Proven experience in architecting and deploying cloud-native applications on AWS and/or Azure. Experience with integrating AI/ML models into production systems, including data pipelines, model inference, and MLOps. Deep understanding of security, authentication (OAuth, JWT), and compliance in cloud-based applications. Familiarity with LLMs, NLP, or generative AI is a strong advantage. Preferred Qualifications Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert). Exposure to AI/ML platforms like Azure AI Studio, Amazon Bedrock, SageMaker, or Hugging Face. Understanding of multi-tenant architecture and SaaS platforms. Experience working in Agile/DevOps teams and with tools like Jira, Confluence, GitHub/GitLab, etc. Why Join Us? Work on innovative and enterprise-scale AI-powered applications. Influence product and architecture decisions with a long-term strategic lens. Collaborate with forward-thinking and cross-disciplinary teams. Opportunity to lead from the front and shape the engineering roadmap.

Location : Bangalore, Hyderabad, Noida, Gurugram, Pune, Mumbai, Chennai ( Hybrid ) AI Integration Deploy ML models using REST APIs (Preferably Node.js) Model portability across environments Integration of ML outputs into React UIs Backend Node.js/JavaScript Building APIs Database interaction – MongoDB, PostgreSQL Async programming – Promises, async/await Working with ML model inference pipelines via API endpoints Frontend (React + Redux) Strong React fundamentals – hooks, component design Component driven UI object design and implementation Consuming APIs – REST/GraphQL Error handling, loading states, and form management Visualizing AI/ML outputs (charts, metrics, dashboards)

Karbon is redefining the fintech landscape, and as a Senior AI Engineer, you will be at the forefront of leveraging cutting-edge AI and machine learning technologies to create impactful solutions. This is your opportunity to work on advanced models, scalable infrastructures, and innovative AI-driven workflows that directly contribute to Karbon's mission. Key Responsibilities ML Modeling and Deployment Train, fine-tune, and deploy machine learning models, including large language models (LLMs) like GPT and BERT, to solve complex business problems. Develop and optimize Generative AI models, including diffusion models, LoRA, and advanced training techniques. AI Workflows & Integration Design, implement, and optimize AI workflows leveraging LLMs, Generative AI, and third-party APIs. Build and deploy scalable AI pipelines to support real-time processing and large-scale data workflows. Transition AI prototypes into production-ready solutions in collaboration with cross-functional teams. ML Infrastructure and Performance Optimization Scale data pipelines, optimize training and inference systems, and ensure reliability across all ML systems. Enhance system performance, scalability, and reliability to meet evolving customer and business needs. Monitor and improve deployed solutions based on feedback and performance metrics. Backend Engineering and Cloud Deployment Develop backend features and automation tasks to integrate AI systems seamlessly into Karbon's platform. Leverage cloud platforms (AWS, GCP, Azure) to design scalable GPU systems for AI/ML deployments. Qualifications And Skills Core Expertise ML Algorithms: Strong understanding of fundamental ML algorithms, including transformer-based architectures. LLM Expertise: Proven experience working with and fine-tuning large language models (LLMs) like GPT, BERT, or similar frameworks. Generative AI: Hands-on experience deploying and optimizing Generative AI models with advanced knowledge of diffusion models, LoRA, and similar techniques. Technical Skills Programming: Strong proficiency in Python with experience in frameworks like TensorFlow and PyTorch. Cloud & Infrastructure: Proven expertise in cloud environments (AWS, GCP, Azure). API Integration: Proficiency in building and integrating APIs and end-to-end AI workflows. Collaboration & Problem-Solving Strong problem-solving skills with a proven ability to translate research concepts into practical, real-world solutions. Excellent communication and organizational skills to collaborate effectively with cross-functional teams. Ability to manage multiple projects in a fast-paced, dynamic environment. Why Join Karbon? Innovative Impact: Work on cutting-edge AI technologies that redefine fintech solutions and create meaningful customer experiences. Collaborative Culture: Join a talented team that fosters creativity, learning, and growth in a supportive environment. Growth Opportunities: Access to continuous learning resources and career growth potential in a fast-paced startup environment. Competitive Benefits: Competitive salary, equity, and benefits package tailored to support your personal and professional goals. Skills: deployment,ml algorithms,ml modeling,azure,generative ai,gcp,llm expertise,pytorch,problem-solving,python,cloud platforms,api integration,ml,collaboration,tensorflow,backend engineering,aws

AI Engineer – Computer Vision, NLP & Deep Learning Type, Location, Full Time @ Pune Desired Experience 4+ years Job Description Role Develop, fine-tune, and deploy deep learning models for computer vision and NLP use cases using PyTorch or TensorFlow. Design and maintain model pipelines, data loaders, and API layers in Python for scalable inference and integration. Implement frontend and backend integrations of AI models using TypeScript/JavaScript (e.g., Node.js, LangChain.js, Transformers.js). Work with datasets for annotation, augmentation, and visualization using tools like LabelImg, Albumentations, and FiftyOne. Build semantic search and recommendation systems using vector databases like Pinecone, Weaviate, or Milvus. Integrate NoSQL and graph-based storage systems like MongoDB and Neo4j for AI-related data operations. Collaborate with cross-functional teams to deliver production-ready, observable, and testable ML components. Contribute to infrastructure and CI/CD for AI model deployment and versioning. Document architectures, APIs, model behavior, and performance tuning guidelines. Participate in sprint planning, reviews, and architecture discussions within a remote-first engineering team. Qualifications 5+ years of experience in AI/ML engineering with deep expertise in computer vision, NLP, and model lifecycle management. Advanced proficiency in Python for deep learning, data pipelines, and API development. Hands-on experience with PyTorch or TensorFlow , with strong skills in training, fine-tuning, and optimizing DL models. Experience in TypeScript/JavaScript for integrating AI models into web applications using Node.js or frontend frameworks. Familiarity with C++ for performance-critical or system-level tasks is a plus. Experience working with vision tools (OpenCV, Detectron2/MMDetection) and managing large annotated datasets. Strong understanding of NoSQL (MongoDB, Redis), vector databases (Pinecone, Milvus), and graph DBs (Neo4j). Proficiency in building scalable ML services, with observability (logging, metrics, alerting) and test coverage. Exposure to orchestration tools (Airflow, Prefect) and cloud deployment workflows (Azure preferred). Comfortable working in remote, agile teams with strong communication and problem-solving skills. Ability to work independently and drive AI projects from experimentation to production.

To know more, check out work.hike.in. At Hike, we're building the Rush Gaming Universe 🎮 📲 💰 Introduction 📖 At Hike, we're revolutionizing gaming and tech by blending innovation and immersive experiences. With our foray into Web3 gaming, we're exploring uncharted territories to create products that redefine fun and ownership. Join us as we make waves in this exciting new frontier. Hike Code 📝( Our core cultural values ) The Hike Code is our cultural operating system. It is our set of values that guides us operationally on a day to day basis. We have 9 core values{​{:} } Top Talent in Every Role → Both a quest for greatness & shared values are important to us 🦸‍♂ ️ Pro-Sports Team → Strength-based, results driven with a "team-first" attitude ⚽ ️ Customer Obsession → We exist to delight our customers ? ? Innovation & Make Magic → Courage to walk into the unknown and pioneer new fronts ? ? Owner not a Renter → Proactive & radically responsible. Everyone is an owner ? ? Think Deeply → Clear mind, obsession to simplify & data-informed 🙇‍♀ ️ Move Fast → Ruthless prioritization & move fast 🙋‍♂ ️ Be curious & keep learning → Curiosity to acquire new perspectives, quickly 👨‍? ? Dream Big → Courage to climb big mountains ? ? Skills & experience we're looking for 👨‍? ? Final‑year B.Tech/M.S. student or recent graduate in CS, IT, Math, Stats, or related field | Top Talent in Every Rol e Solid programming abilities in Python with the ML/AI stack (NumPy, Pandas, Scikit‑Learn, TensorFlow) | Top Talent in Every Rol e Good grasp of Data Structures, Algorithms, and basic system‑design concepts | Top Talent in Every Rol e Coursework or projects demonstrating machine‑learning fundamentals (regression, classification, DL models, Agentic AI) | Be Insatiably Curious & Keep Improvin g Familiarity with SQL and eagerness to dive into data pipelines (Kafka, MongoDB, BigQuery, or similar) | Think Deeply & Exercise Good Judgemen t Ability to be self‑directed and learn quickly, with a strong desire to stay on top of the latest AI developments | Be Insatiably Curious & Keep Improvin g Comfort using AI tools—Cursor, GPT, Claude—to accelerate development | Move Fast & Be Dynami c Strong written and verbal communication skills; collaborative mindset | Pro‑Sports Tea m You will be responsible for ? ? Strategy- Work extensively on our Multi‑Agent AI Analytics System, expanding capabilities to deliver conversational insights at scal e Strategy- Design and iterate on ML models powering real‑time personalization, matchmaking, and churn predictio n Strategy- Drive experimentation that boosts engagement, retention, and monetization through user‑level intelligenc e Operations-Monitor real‑time data pipelines that feed anomaly detection, feature stores, and matchmaking service s Operations-Optimize and benchmark ML inference for live gameplay scenarios (spin‑the‑wheel rewards, sticker recommendations, GBM matchmaking ) Collaboration-Partner with product, backend, and design to turn insights into delightful player experience s Collaboration-Champion AI‑driven tooling and workflow automation across the tea m 💰 Benefits → We have tremendous benefits & perks. Check out work.hike.in to know mor e

Job Title: Data Analyst Location: Bengaluru, Karnataka, India About the Role We're looking for an experienced Data Analyst to join our team, focusing on building and enhancing underwriting products specifically for the Indian market. In this role, you'll be instrumental in developing sophisticated credit assessment frameworks and scoring models by leveraging diverse data sources. If you're passionate about data, have a deep understanding of the Indian financial services landscape, and thrive in a dynamic environment, we encourage you to apply. What You'll Do Be the powerhouse behind scalable and efficient solutions that span across a broad spectrum of fintech sectors—be it lending, insurance, investments. Our work isn't confined to a single domain. We tackle a diverse set of problem statements, from computer vision and tabular data to natural language processing, speech recognition, and even Generative AI. Each day brings a new challenge and a new opportunity for breakthroughs. What You'll Bring 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; experience in working Ad domain/reinforcement learning. 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).

Courier / Logistics Full-Time Job ID: DGC00935 Chennai, Tamil Nadu 3-8 Yrs ₹02 - ₹06 Yearly Job description Key Responsibilities: 1. Design, develop, and maintain backend systems using .NET Framework and .NET Core (C#, Web API, MVC) for enterprise-grade applications. 2. Develop, integrate, and consume secure and efficient RESTful APIs. 3. Collaborate on AI feature integration, such as implementing machine learning models, using AI frameworks or APIs, and optimizing inference workflows. 4. Work with SQL Server and other relational databases for data modeling, complex queries, and performance tuning. 5. Support UI integration using AngularJS and Angular; contribute to responsive and interactive web components. 6. Participate in the full software development lifecycle including requirements gathering, design, coding, testing, deployment, and support. 7. Create and maintain comprehensive technical documentation, including AI model usage and API endpoints. 8. Engage in Agile practices: attend stand-ups, contribute to sprint planning, reviews, and retrospectives. 9. Identify and resolve application issues and production bugs. Propose improvements for system architecture, performance, and security. Qualifications: 1. Minimum 3+ years of hands-on experience in backend development using .NET technologies (C#, Web API, MVC). 2. Solid working knowledge of AngularJS and Angular for frontend integration. 3. Proficiency in JavaScript, HTML, CSS, and jQuery for UI tasks. 4. Strong grasp of Object-Oriented Programming (OOP), design patterns, and service-oriented architecture (SOA). 5. Practical knowledge or experience in AI/ML conceptsthis includes working with AI models, APIs (e.g., OpenAI, TensorFlow, Azure Cognitive Services), or machine learning workflows. 6. Experience with SQL Server, including complex queries, stored procedures, and optimization techniques. 7. Familiarity with Agile development methodologies and version control systems like Git. 8. Strong analytical, problem-solving, and debugging skills. 9. Excellent communication skills and a collaborative mindset. 10. Self-driven, adaptable, and capable of managing tasks in a dynamic environment.

Job Title: VP-Digital Expert Support Lead Experience : 12 + Years Location : Pune Mandatory-Should have a stable track record Suitable candidate shall be notified the same day Position Overview The Digital Expert Support Lead is a senior-level leadership role responsible for ensuring the resilience, scalability, and enterprise-grade supportability of AI-powered expert systems deployed across key domains like Wholesale Banking, Customer Onboarding, Payments, and Cash Management . This role requires technical depth, process rigor, stakeholder fluency , and the ability to lead cross-functional squads that ensure seamless operational performance of GenAI and digital expert agents in production environments. The candidate will work closely with Engineering, Product, AI/ML, SRE, DevOps, and Compliance teams to drive operational excellence and shape the next generation of support standards for AI-driven enterprise systems. Role-Level Expectations Functionally accountable for all post-deployment support and performance assurance of digital expert systems. Operates at L3+ support level , enabling L1/L2 teams through proactive observability, automation, and runbook design. Leads stability engineering squads , AI support specialists, and DevOps collaborators across multiple business units. Acts as the bridge between operations and engineering , ensuring technical fixes feed into product backlog effectively. Supports continuous improvement through incident intelligence, root cause reporting, and architecture hardening . Sets the support governance framework (SLAs/OLAs, monitoring KPIs, downtime classification, recovery playbooks). Position Responsibilities Operational Leadership & Stability Engineering Own the production health and lifecycle support of all digital expert systems across onboarding, payments, and cash management. Build and govern the AI Support Control Center to track usage patterns, failure alerts, and escalation workflows. Define and enforce SLAs/OLAs for LLMs, GenAI endpoints, NLP components, and associated microservices. Establish and maintain observability stacks (Grafana, ELK, Prometheus, Datadog) integrated with model behavior. Lead major incident response and drive cross-functional war rooms for critical recovery. Ensure AI pipeline resilience through fallback logic, circuit breakers, and context caching. Review and fine-tune inference flows, timeout parameters, latency thresholds, and token usage limits. Engineering Collaboration & Enhancements Drive code-level hotfixes or patches in coordination with Dev, QA, and Cloud Ops. Implement automation scripts for diagnosis, log capture, reprocessing, and health validation. Maintain well-structured GitOps pipelines for support-related patches, rollback plans, and enhancement sprints. Coordinate enhancement requests based on operational analytics and feedback loops. Champion enterprise integration and alignment with Core Banking, ERP, H2H, and transaction processing systems. Governance, Planning & People Leadership Build and mentor a high-caliber AI Support Squad – support engineers, SREs, and automation leads. Define and publish support KPIs , operational dashboards, and quarterly stability scorecards. Present production health reports to business, engineering, and executive leadership. Define runbooks, response playbooks, knowledge base entries, and onboarding plans for newer AI support use cases. Manage relationships with AI platform vendors, cloud ops partners, and application owners. Must-Have Skills & Experience 12+ years of software engineering, platform reliability, or AI systems management experience. Proven track record of leading support and platform operations for AI/ML/GenAI-powered systems . Strong experience with cloud-native platforms (Azure/AWS), Kubernetes , and containerized observability . Deep expertise in Python and/or Java for production debugging and script/tooling development. Proficient in monitoring, logging, tracing, and alerts using enterprise tools (Grafana, ELK, Datadog). Familiarity with token economics , prompt tuning, inference throttling, and GenAI usage policies. Experience working with distributed systems, banking APIs, and integration with Core/ERP systems . Strong understanding of incident management frameworks (ITIL) and ability to drive postmortem discipline . Excellent stakeholder management, cross-functional coordination, and communication skills. Demonstrated ability to mentor senior ICs and influence product and platform priorities. Nice-to-Haves Exposure to enterprise AI platforms like OpenAI, Azure OpenAI, Anthropic, or Cohere. Experience supporting multi-tenant AI applications with business-driven SLAs. Hands-on experience integrating with compliance and risk monitoring platforms. Familiarity with automated root cause inference or anomaly detection tooling. Past participation in enterprise architecture councils or platform reliability forums

Are you an experienced Principal Data Science Manager , with a relentless passion for data and analytics and a desire to drive future products via key data insights? Do you love managing and mentoring other Data scientists, analysts and Data engineers to achieve critical business goals? Does the thought of being able to influence the product in each stage of the lifecycle through insights & predictions excite you? Do you love measuring, understanding, and predicting based on real-world user data to come up with insights that drive experiments and recommendations to help move business metrics? If so, we want to talk to you! We are the Data & Applied Sciences team for Windows at Hyderabad, India. We work across various Windows products with the goal of using advanced analytics & data science to inform decision making, drive product performance and maximize business impact through the power of Data. In short, we thrive on data to solve high impact business problems for Windows! We're looking for an enthusiastic, hands-on and expert Principal Data Scientist Manager, to help us generate and deliver insights and recommendations through data for experiences running on 1.3 billion Windows devices. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities As an experienced Data Scientist Manager, you will take on the most complex problems and guide the rest of the team in their efforts, helping them formulate approaches to solve challenging problems and discover new opportunities using well-defined algorithms and data sources in context of customer, engineering, and business needs. Your responsibilities will include working closely with a variety of teams such as Engineering, Product Management, Design and application partners to understand the key business questions for customer-facing scenarios, to set up the key performance indicators, deeply analyze the data to identify insights and experiment ideas that moves our business metrics. We will be looking to you to help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, to design and assess experiments, to measure growth and to derive insights that help identify next wave of opportunities and problems to be solved. Qualifications Required Qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 5+ years of experience as a lead, including mentoring and growing junior data scientists & analysts. 10+ years of experience as a practicing Data Scientist. Exceptional teamwork and values that foster a positive team culture. Experience in collaborating with teams across different time zones and geographies. Experience with EDA, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting. Experience with Experiment Design and analysis. Experience in one or more programming languages, preferably C#, Python or Java. Experience in mentoring less experienced data engineers and helping to set a positive team culture. Ability to learn and work effectively in a highly ambiguous, rapidly evolving environment Demonstrated partnership, collaboration, and interpersonal skills. Excellent oral and written communication skills and ability to "tell compelling stories" through data. Preferred Qualifications Experience with Big Data technologies like Spark, Hadoop or other open- source technologies or SCOPE/COSMOS or U-SQL/ADL. A proven track record of demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills and relentless drive for progress. #W+Djobs #Windows, #Windows India, #Data Science Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and deliver trusted experience to customers and partners worldwide and we are looking for passionate, high-energy engineers to help achieve that mission. Firmware/Software CoE is looking for a Senior Software Engineer to be a part of the fast-paced and exciting business of Azure. This is your chance to be part of the most exciting end-to-end teams within Microsoft. We are looking for a highly motivated Senior Software Engineer with a track record in Cloud Service development to come help us develop and light up innovative hardware solutions that powers Azure and make our world-class cloud infrastructure even better. To be successful in this role, you must have a great track record of delivering quality results to customers, an engineering mindset, an innate aptitude for agility, and technical excellence in software engineering. Responsibilities Conduct A/B analysis, create and validate metrics, develop ML pipeline and modeling algorithm in Information Retrieval and Machine Learning. Determines the technique needed and develops analytic models to understand complex business issues and provide data-driven insights by integrating statistical inference, Machine Learning modeling, AI and/or other advanced analytical methods to manage, classify and analyze complex data from a variety of sources. Perform data analysis using a variety of analytical tools (Python, KQL, MLStudio, Synapse, Power BI, Fabric etc), and interpret results with actionable recommendations. Define & measure the success/impact of requested analytics & reporting features via quantitative measures. Lead the development of cutting-edge models based on Hardware Telemetry. Leverage and advance Deep Learning, Reinforcement Learning, Causal Inference, and other techniques to solve complex problems. Take an active role and partner with internal peer teams and external partners to ensure highly available, fully secure, accurate and actionable results based on hardware health signals, policies, and predictive analytics. Partner with stakeholders across the team to identify opportunities to build new AI-based solutions to improve engineering efficiency across development, validation, monitoring, and live support. Qualifications Bachelor’s in computer science, Computer Engineering or related. 6+ years of industry experience with common ML engineering programming languages and platforms, such as Python, ML Stack. Experience in setting up web applications, web services that leverage AI\ML ecosystem for business insights, automated jobs. Solid data engineering and ML experience with large language models (LLM). Proven track record of building, deploying, and optimizing large-scale AI/ML models in real-world applications. Preferred Qualifications Experience working with large language models / multi-billion parameter models, focusing on their efficient training and online inference. Familiar with e2e machine learning development cycle, from model measurements / training/ evaluation to optimization/deployment, etc. Experience in one of these training frameworks: Pytorch, Tensorflow, etc., and LLM is a plus. Understanding of hardware and devices, or familiarity with OS and Firmware health and error reporting would be added plus. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Job Description Change the world. Love your job. Your career starts here! This is an exciting opportunity to design and develop innovative software solutions that drive TI's revolutionary product lines. We change lives by working on the technologies that people use every day. Are you ready for the challenge? As a Software Engineer, you'll become a key contributor, where your skills and input make a big difference. In this role, you'll design embedded software and development tools that will be used to test products. You'll write code that tells chips how to operate in revolutionary new ways. And, you'll work closely with business partners and customers, as well as TI's marketing, systems and applications engineering teams, to collaborate and solve business problems. Qualifications Minimum Requirements: 4-8 years of relative experience Degree in Electrical Engineering, Computer Engineering, Computer Science, Electrical and Computer Engineering, or related field Strong Embedded firmware skills and experience Strong Assembly, C and C++ programming skills Preferred Qualifications Knowledge of software engineering processes and the full software development lifecycle Demonstrated strong analytical and problem solving skills Strong verbal and written communication skills Ability to work in teams and collaborate effectively with people in different functions Strong time management skills that enable on-time project delivery Demonstrated ability to build strong, influential relationships Ability to work effectively in a fast-paced and rapidly changing environment Ability to take the initiative and drive for results Great programmer: Programming skills in C/C++ and python, Modular and Object Oriented programming skills, familiarity with build systems – make, cmake, familiarity with Linux In-depth knowledge of embedded systems – VLIW and SIMD processor architecture, DMA, cache, memory architecture, inter process communication Working experience in machine learning technologies such as CNN, transformers, quantization algorithms and approaches for camera-based applications on embedded systems Working experience with DSPs (preferably TI DSPs) and hardware development boards/EVM for image/vision-based processing algorithms Good knowledge on machine learning frameworks (PyTorch), inference solution and exchange formats (ONNX, ONNX RunTime, protobufs) Basic knowledge of RTOS and Linux with exposure to debugging of embedded systems - familiarity with heterogeneous core architecture is added advantage Well verse with software development life cycle and efficient use of associated tools – Git, JIRA, bitbucket, Jenkins, containers (Dockers), CI/CD Strong Communication, documentation and writing skills About Us Why TI? Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics. We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. About Texas Instruments Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com . Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. If you are interested in this position, please apply to this requisition. About The Team TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.