2068 Inference Jobs - Page 25

Job Title: AI/ML Cloud Engineer – Realistic Video Generation Location: Zirakpur, Mohali, Punjab, India Type: Full-Time Industry: AI & Cloud Solutions Experience Level: Mid to Senior Salary is no bar for ideal candidate. About Us We are a forward-thinking company leveraging cutting-edge AI and cloud technologies to deliver next-generation solutions for our clients. Our focus is on creating hyper-realistic, AI-generated videos for a wide range of industries including marketing, entertainment, training, and more. We're seeking a talented AI/ML Cloud Engineer who can design, build, and optimize scalable pipelines to bring these videos to life. Your Role As our AI/ML Cloud Engineer, you'll be responsible for building end-to-end systems that enable the generation of realistic videos using AI models (e.g., diffusion, generative adversarial networks, neural rendering). You will work at the intersection of machine learning, cloud infrastructure, and video processing. Responsibilities Develop and deploy AI/ML models for realistic video generation Design cloud-based pipelines for scalable media processing Integrate video synthesis tools with client-facing applications Optimize inference performance using GPU acceleration and distributed computing Collaborate with designers, data scientists, and engineers to fine-tune model outputs Ensure secure, efficient, and maintainable cloud infrastructure (AWS, GCP, or Azure) Stay updated with the latest in generative AI and video synthesis research Requirements Proven experience in AI/ML, particularly in generative models (GANs, VAEs, Diffusion Models) Solid understanding of video processing and computer vision techniques Hands-on experience with frameworks like PyTorch, TensorFlow, or similar Proficiency with cloud platforms (AWS, GCP, Azure) Familiarity with media encoding/decoding and streaming protocols Strong programming skills (Python, C++, etc.) Ability to work independently and manage multiple projects Preferred Qualifications Experience with any tools like Google Veo 3, RunwayML, Sora, DeepMotion, or similar video generation platforms Knowledge of 3D rendering engines or motion capture workflows Background in synthetic media ethics and responsible AI development What We Offer Competitive salary and equity options Work from office position with flexible working hours Access to powerful compute resources Opportunity to work on cutting-edge AI applications Supportive, innovative team environment How to Apply Send your resume, portfolio (if applicable), and a short note on your experience with AI-generated video to info@estina.in Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹75,000.00 per month Schedule: Day shift Morning shift Work Location: In person

Hello, Truecaller is calling you from Bangalore, India! Ready to pick up? Our goal is to make communication smarter, safer, and more efficient, all while building trust everywhere. We're all about bringing you smart services with a big social impact, keeping you safe from fraud, harassment, scam calls or messages, so you can focus on the conversations that matter. Top 20 most downloaded apps globally, and world’s #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities, with more than 450 million active users per month. Founded in 2009, listed on Nasdaq OMX Stockholm and is categorized as a Large Cap. Our focus on innovation, operational excellence, sustainable growth, and collaboration has resulted in consistently high profitability and strong EBITDA margins. A team of 400 people from ~35 different nationalities spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon and Tel Aviv with high ambitions. We in the Insights Team are responsible for SMS Categorization, Fraud detection and other Smart SMS features within the Truecaller app. The OTP & bank notifications, bill & travel reminder alerts are some examples of the Smart SMS features. The team has developed a patented offline text parser that powers all these features and the team is also exploring cutting edge technologies like LLM to enhance the Smart SMS features. The team’s mission is to become the World’s most loved and trusted SMS app which is aligned with Truecaller’s vision to make communication safe and efficient. Smart SMS is used by over 90M users every day. As an ML Engineer , you will be responsible for collecting, organizing, analyzing, and interpreting Truecaller data with a focus on NLP. In this role, you will be working hands-on to optimize the training and deployment of ML models to be quick and cost-efficient. Also, you will be pivotal in advancing our work with large language models and in-device models across diverse regions. Your expertise will enhance our natural language processing, machine learning, and predictive analytics capabilities. What You Bring In 3+ years in machine learning engineering, with hands-on involvement in feature engineering, model development, and deployment. Experience in Natural Language Processing (NLP), with a deep understanding of text processing, model development, and deployment challenges in the domain. Proven ability to develop, deploy, and maintain machine learning models in production environments, ensuring scalability, reliability, and performance. Strong familiarity with ML frameworks like TensorFlow, PyTorch, and ONNX, and experience in tech stack such as Kubernetes, Docker, APIs, Vertex AI, GCP. Experience deploying models across backend and mobile platforms. Fine-tune and optimize LLMs prompts for domain-specific applications Ability to optimize feature engineering, model training, and deployment strategies for performance and efficiency. Strong SQL and statistical skills. Programming knowledge in at least one language, such as Python or R. Preferably python. Knowledge of machine learning algorithms. Excellent teamwork and communication skills, with the ability to work cross-functionally with product, engineering, and data science teams. Good to have the knowledge in retrieval-based pipelines to enhance LLM performance The Impact You Will Create Collaborate with Product and Engineering to scope, design, and implement systems that solve complex business problems ensuring they are delivered on time and within scope. Design, develop, and deploy state-of-the-art NLP models, contributing directly to message classification and fraud detection at scale for millions of users. Leverage cutting-edge NLP techniques to enhance message understanding, spam filtering, and fraud detection, ensuring a safer and more efficient messaging experience. Build and optimize ML models that can efficiently handle large-scale data processing while maintaining accuracy and performance. Work closely with data scientists and data engineers to enable rapid experimentation, development, and productionization of models in a cost-effective manner. Streamline the ML lifecycle, from training to deployment, by implementing automated workflows, CI/CD pipelines, and monitoring tools for model health and performance. Stay ahead of advancements in ML and NLP, proactively identifying opportunities to enhance model performance, reduce latency, and improve user experience. Your work will directly impact millions of users, improving message classification, fraud detection, and the overall security of messaging platforms. It Would Be Great If You Also Have Understanding of Conversational AI Deploying NLP models in production Working knowledge of GCP components Cloud-based LLM inference with Ray, Kubernetes, and serverless architectures. Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like your dream job? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. This position is based in Bangalore , India. We only accept applications in English. What We Offer A smart, talented and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing and fun environment. A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave, telephone bill reimbursement, Udemy membership to keep learning and improving and Wellness allowance. Great tech tools: Pick the computer and phone that you fancy the most within our budget ranges. Office life: We strongly believe in the in-person collaboration and follow an office-first approach while offering some flexibility. Enjoy your days with great colleagues with loads of good stuff to learn from, daily lunch and breakfast and a wide range of healthy snacks and beverages. In addition, every now and then check out the playroom for a fun break or join our exciting parties and or team activities such as Lab days, sports meetups etc. There something for everyone! Come as you are: Truecaller is diverse, equal and inclusive. We need a wide variety of backgrounds, perspectives, beliefs and experiences in order to keep building our great products. No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc. All those things make you who you are, and that’s why we would love to meet you. Job info Location Bengaluru, Karnataka, India Category Data Science Team Insights Posted today

Req ID: 328025 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Systems Integration Specialist to join our team in Bangalore, Karnātaka (IN-KA), India (IN). Experience: 4-6 years Key Responsibilities: Build machine learning models to predict asset health, process anomalies, and optimize operations. Work on sensor data pre-processing, model training, and inference deployment. Collaborate with simulation engineers for closed-loop systems. Skills Required: Experience in time-series modeling, regression/classification, and anomaly detection. Familiarity with Python, scikit-learn, TensorFlow/PyTorch. Experience with ML Ops on Azure ML, Databricks, or similar. Understanding of manufacturing KPIs (e.g., OEE, MTBF, cycle time). About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

We are seeking AI Architect to lead the design, development, and deployment of advanced AI systems, with a strong emphasis on Large Language Models (LLMs), fine-tuning, and customer experience (CX) technologies. This role blends deep technical expertise with leadership, research, and infrastructure planning to deliver intelligent, scalable, and customer-centric AI solutions across cloud and on-premise environments. Key Responsibilities 1. LLM Development & Fine-Tuning Architect and implement scalable solutions for training and fine-tuning LLMs Apply prompt engineering, transfer learning, and optimization techniques to enhance model performance. Integrate LLMs into customer-facing applications such as chatbots, VOICE AI agents, Expert AI agents, and recommendation engines. 2. Customer Experience (CX) Technology Integration Collaborate with CX and product teams to embed AI into customer journeys, improving personalization, automation, and engagement. Design AI-driven solutions for omnichannel support, sentiment analysis, and real-time feedback loops. Ensure AI systems align with customer satisfaction goals and ethical AI principles. 3. Technical Leadership & Team Management Lead and mentor a multidisciplinary team of AI engineers, data scientists, and MLOps professionals. Drive agile development practices and foster a culture of innovation and accountability. 4. Research & Innovation Conduct and apply research in NLP, LLMs, and AI infrastructure to solve real-world customer experience problems. Contribute to publications, patents, or open-source initiatives as appropriate. Guide team and maintain detailed architecture diagrams, design documents, and technical specifications. 5. Product Roadmap & Delivery Define and execute the AI product roadmap in collaboration with engineering and business stakeholders. Manage timelines, deliverables, and cross-functional dependencies. Plan and manage GPU infrastructure for training and inference (e.g., A100, H100, L40S). 6. Deployment & MLOps Deploy AI models on Azure, AWS, and on-premise GPU clusters using containerized and scalable architectures. Integrate with CI/CD pipelines and ensure robust monitoring, logging, and rollback mechanisms. Qualifications Master’s or Ph.D. in Computer Science, AI, Machine Learning, or related field. 5+ years of experience in AI/ML, with 1.5 + years in a leadership or GEN AI architect role. Proven experience with LLMs, Transformers, and fine-tuning frameworks (e.g., Hugging Face). Strong understanding of customer experience platforms and how AI can enhance them. Proficiency in Python, PyTorch, TensorFlow, and MLOps tools. Experience with cloud platforms (Azure, AWS) and on-premise GPU infrastructure. Why Join Us? Shape the future of AI-powered customer experiences, visibility to global customer AI deployments. Lead a high-impact team working on state-of-the-art technologies. Competitive compensation, and continuous learning opportunities

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights. How You Will Contribute You will: Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization. In this role you will also formulate hypotheses and test them using math, statistics, visualization and predictive modeling Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business. After that you will work with stakeholders to determine how to use business data for business solutions/insights Enable data-driven decision making by creating custom models or prototypes from trends or patterns discerned and by underscoring implications. Coordinate with other technical/functional teams to implement models and monitor results Apply mathematical, statistical, predictive modelling or machine-learning techniques and with sensitivity to the limitations of the techniques. Select, acquire and integrate data for analysis. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements What You Will Bring A desire to drive your future and accelerate your career and the following experience and knowledge: Strong quantitative skillset with experience in statistics and linear algebra. A natural inclination toward solving complex problems Knowledge/experience with statistical programming languages including R, Python, SQL, etc., to process data and gain insights from it Knowledge of machine learning techniques including decision-tree learning, clustering, artificial neural networks, etc., and their pros and cons Knowledge and experience in advanced statistical techniques and concepts including, regression, distribution properties, statistical testing, etc. Good communication skills to promote cross-team collaboration Multilingual coding knowledge/experience: Java, JavaScript, C, C++, etc. Experience/knowledge in statistics and data mining techniques including random forest, GLM/regression, social network analysis, text mining, etc. Ability to use data visualization tools to showcase data for stakeholders We're looking for a Senior Data Scientist to lead data science engagements within Mondelēz International. This role involves owning the full lifecycle of data science application projects, from concept to deployment and optimization. You'll also be a strategic advisor, shaping our data science capabilities, and defining internal standards for application development. Your responsibilities also include the enterprise-level data science applications design and recommending the right tools and technologies. A good balance between traditional AI/ML and GenAI experience is preferred. You'll play a critical role in driving innovation, maximizing value, and fostering responsible AI adoption in D&A function. Key Responsibilities: Lead Data Science Application Development/Deployment: Lead the full lifecycle of data science projects, from ideation and design to deployment and optimization, whether developed in-house, through partner collaboration or buying off-the-shelf. Advisory AI/GenAI: Provide strategic advice on the evolution of our AI/GenAI capabilities to match company goals. Keeping up with the latest GenAI trend. Standards and Governance: Help establish/refresh and enforce programmatic approaches, governance frameworks and best practices for effective data science application building. Technology Evaluation and Recommendation: Evaluate and recommend the most appropriate AI/GenAI tools, technologies. Knowledge Sharing and Mentoring: Share knowledge and expertise with other team members, mentor junior data scientists, and spearhead the development of a strong AI community within Mondelēz. Skills and Experiences: Deep understanding of data science methodologies and implications: proficiency in machine learning, deep learning, statistical modelling, optimization, causal inference etc. Hands-on experience in cloud environment (8 years): Cloud platform, cloud-based data storage, processing, AI/ML model building, model life cycle, process orchestration, cost optimization etc. LLM Application architecture & Integration (3 years): Hands-on experience building RAG applications, clear understanding of the underline technologies. Cloud Based Deployment & Scaling: Practical experience deploying and scaling data science (including GenAI) applications in cloud environment. Familiar with scaling strategies for LLMs, and integration with other application. Collaboration with cross-functional teams/stakeholder management (5 years): Proven ability to collaborate effectively with cross-functional teams. Excellent communication skills, both written and verbal to articulate technical concepts. A big emphasis on the ability to listen and capture key information. Qualifications: Master’s degree in a Quantitative Discipline, PhD preferred. Minimum 8 years of experience in data science/AI. Minimum 2 years of GenAI experience. Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as Oreo , belVita and LU biscuits; Cadbury Dairy Milk , Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Data Science Analytics & Data Science

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

Job Title: AI Vision Systems Engineer – Entry Level (SkySight Platform) Location: Thoppur, Salem Department: AI & Perception Systems Experience: 0–1 year Employment Type: Full-time 🛰 About SkySight SkySight is a cutting-edge drone data management and computer vision platform developed by Raptor Aero Systems. It processes visual and geospatial data from UAV missions to deliver real-time insights, advanced object detection, and intuitive visualizations for various industries including agriculture, infrastructure, and defence. 🎯 Role Overview As a Vision System Engineer at SkySight, you will assist in developing and deploying computer vision modules, contributing to image and video processing pipelines, model integration, and visualization tools. This is a hands-on role focused on real-world perception challenges using aerial imagery. 🛠 Key Responsibilities • Assist in integrating computer vision models (e.g., object detection, segmentation) into the SkySight pipeline. • Preprocess and annotate image/video datasets for model training and evaluation. • Support development of image analysis features like heatmaps, annotated overlays, and anomaly detection. • Contribute to testing and optimizing inference pipelines for GPU/CPU. • Collaborate with AI/ML and backend teams to ensure seamless integration with cloud and dashboard services. • Participate in regular code reviews, design discussions, and innovation brainstorming. 🧠 Required Skills • Bachelor of Engineering in Computer Science, Electronics, Electrical, Mechatronics, or related field. • Basic understanding of image processing, OpenCV, and/or deep learning frameworks like PyTorch or TensorFlow. • Familiarity with Python programming (or C++ is a plus). • Exposure to working with image/video datasets. • Curiosity and willingness to learn about drone imagery, GIS, and embedded vision. 🌟 Preferred (Good to Have) • Hands-on project or internship involving computer vision or AI. • Experience working with YOLO, Mask R-CNN, or similar models. • Exposure to tools like LabelImg, Roboflow, or CVAT. • Understanding of REST APIs or basic Docker usage. 💡 What You’ll Gain • Mentorship from a strong AI and drone systems team. • Experience with real-world drone imagery pipelines. • Opportunity to grow into a full-stack vision engineer or data scientist. • Exposure to cutting-edge technologies across edge AI, geospatial analysis, and UAV autonomy. 🦅 About Raptor Aero Systems We’re a deep-tech drone company building India’s most advanced UAV platforms and autonomy stacks. SkySight is part of our vision to deliver end-to-end, production-ready solutions in aerial intelligence. Join us to shape the future of drones and visual AI.

We're looking for a highly skilled and experienced Cloud AI Engineer to join our dynamic team. In this role, you'll be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions leveraging the full suite of Google Cloud Platform (GCP) services. Objectives of this role Lead the end-to-end development cycle of AI applications, from conceptualization and prototyping to deployment and optimization, with a core focus on LLM-driven solutions. Architect and implement highly performant and scalable AI services, effectively integrating with GCP's comprehensive AI/ML ecosystem. Collaborate closely with product managers, data scientists, and MLOps engineers to translate complex business requirements into tangible, AI-powered features. Continuously research and apply the latest advancements in LLM technology, prompt engineering, and AI frameworks to enhance application capabilities and performance. ## Responsibilities Develop and deploy production-grade AI applications and microservices primarily using Python and FastAPI, ensuring robust API design, security, and scalability. Design and implement end-to-end LLM pipelines, encompassing data ingestion, processing, model inference, and output generation. Utilize Google Cloud Platform (GCP) services extensively, including Vertex AI (Generative AI, Model Garden, Workbench), Cloud Functions, Cloud Run, Cloud Storage, and BigQuery, to build, train, and deploy LLMs and AI models. Expertly apply prompt engineering techniques and strategies to optimize LLM responses, manage context windows, and reduce hallucinations. Implement and manage embeddings and vector stores for efficient information retrieval and Retrieval-Augmented Generation (RAG) patterns. Work with advanced LLM orchestration frameworks such as LangChain, LangGraph, Google ADK, and CrewAI to build sophisticated multi-agent systems and complex AI workflows. Integrate AI solutions with other enterprise systems and databases, ensuring seamless data flow and interoperability. Participate in code reviews, establish best practices for AI application development, and contribute to a culture of technical excellence. Keep abreast of the latest advancements in GCP AI/ML services and broader AI/ML technologies, evaluating and recommending new tools and approaches. ## Required skills and qualifications Two or more years of hands-on experience as an AI Engineer with a focus on building and deploying AI applications, particularly those involving Large Language Models (LLMs). Strong programming proficiency in Python, with significant experience in developing web APIs using FastAPI. Demonstrable expertise with Google Cloud Platform (GCP), specifically with services like Vertex AI (Generative AI, AI Platform), Cloud Run/Functions, and Cloud Storage. Proven experience in prompt engineering, including advanced techniques like few-shot learning, chain-of-thought prompting, and instruction tuning. Practical knowledge and application of embeddings and vector stores for semantic search and RAG architectures. Hands-on experience with at least one major LLM orchestration framework (e.g., LangChain, LangGraph, CrewAI). Solid understanding of software engineering principles, including API design, data structures, algorithms, and testing methodologies. Experience with version control systems (Git) and CI/CD pipelines. Preferred skills and qualifications Bachelor’s or Master's degree in Computer Science Good to have: Experience with MLOps practices for deploying, monitoring, and maintaining AI models in production. Understanding of distributed computing and data processing technologies. Contributions to open-source AI projects or a strong portfolio showcasing relevant AI/LLM applications. Excellent analytical and problem-solving skills with a keen attention to detail. Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Experience Level: 2–5 Years About GrowthZ: GrowthZ is poised for significant growth, focusing on AI enabled growth products for borderless expansion. We are building innovative digital products and experiences to build growth automation for its clients in small and medium segments across the globe. As we scale, we are seeking passionate engineers whose execution is key strength. We are looking for a skilled Backend/Data Science Engineer to join our dynamic team. You will be instrumental in building scalable APIs and integrating our services, while also leveraging your data science expertise to operationalize machine learning models and build real-time optimization systems. Cultural Fitment We're looking for individuals who embody our core values and thrive in a dynamic, impact-driven environment. If you resonate with the following, you'll be a great fit: * A "solve it " mindset: You approach challenges with the belief that "I may not know it, but I will solve it for my customer." We're less concerned with what you already know and more with your ability to learn, adapt, and innovate. * Impact over hours : We prioritize the impact you create over the number of hours you put in. Your contributions and the solutions you build are what truly matter. * Embracing challenges : You're excited by the prospect of tackling complex problems and are committed to solving them to their core. We believe in taking on difficult tasks and seeing them through. * Positive and empathetic collaboration: We foster a culture of smiling faces and mutual empathy. We believe a supportive and understanding team environment is key to our success and well-being. * Flexibility and commitment : We trust our team members. If you need a day to pursue a passion, spend time with family, or simply recharge, we encourage it—we call that a weekend, regardless of the day of the week. In return, we expect mutual agreement on timelines and unwavering commitment to delivering on those agreements, as we're dedicated to solving the world's biggest problem of driving business growth for our clients. * Passion for the journey: We're not just building disruptive technology; we're having fun while doing it! We believe in the joy of creation and the excitement of continuous learning. * Continuous learners: We believe life is all about learning every day. If you have the passion, we're committed to building skills together. Does this sound like a culture you'd thrive in? We're excited to see how your passion and drive can contribute to our team! What You'll Do: Design, build, and maintain robust and scalable APIs using NestJS (Fastify adapter) or FastAPI. Integrate backend services with various AWS components (S3, SQS, SES, RDS) and internal microservices. Apply your data science skills to operationalize machine learning models and develop real-time optimization systems. What You'll Bring: Strong programming experience in either NestJS/TypeScript or Python (with libraries like Pandas, NumPy, Scikit-learn). Solid SQL skills and a good understanding of PostgreSQL, TypeORM, and REST API principles. Practical experience with the AWS ecosystem (S3, Lambda, SQS, SES, Route53). Understanding of rule engines, condition-based logic, and decision trees in Machine Learning. Knowledge of A/B testing, causal inference, and optimization techniques is a plus. Exposure to real-time systems or streaming data (e.g., Kafka, Pub/Sub) is a bonus. Collaborative with internal and other team members for feedback Go getter attitude

We’re hiring a Founding AI Engineer to help build and scale the backbone of our AI system. You’ll lead development across agent orchestration, tool execution, Model Context Protocol (MCP), API integration, and browser-based research workflows. You’ll work closely with the founder on hands-on roadmap development, rapid prototyping, and fast iteration cycles to evolve the product quickly based on real user needs. Responsibilities Build multi-agent systems capable of reasoning, tool use, and autonomous action Implement Model Context Protocol (MCP) strategies to manage complex, multi-source context Integrate third-party APIs (e.g., Crunchbase, PitchBook, CB Insights), scraping APIs, and data aggregators Develop browser-based agents enhanced with computer vision for dynamic research, scraping, and web interaction Optimize inference pipelines, task planning, and system performance Collaborate on architecture, prototyping, and iterative development Experiment with prompt chaining, tool calling, embeddings, and vector search Requirements 5+ years of experience in software engineering or AI/ML development Strong Python skills and experience with LangChain, LlamaIndex, or agentic frameworks Proven experience with multi-agent systems, tool calling, or task planning agents Familiarity with Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and multi-modal context handling Experience with browser automation frameworks (e.g., Playwright, Puppeteer, Selenium) Cloud deployment and systems engineering experience (GCP, AWS, etc.) Self-starter attitude with strong product sense and iteration speed Bonus Points Experience with AutoGen, CrewAI, OpenAgents, or ReAct-style frameworks Background in building AI systems that blend structured and unstructured data Experience working in a fast-paced startup environment Previous startup or technical founding team experience This is a unique opportunity to work directly with an industry leader in AI to build a cutting-edge, next-generation AI system from the ground up.

Sony Research India is driving cutting-edge research and development in various locations around the globe, including laboratories in Japan, the United States, Europe, and Asia. We endeavor to create new technology, products, and services while sustaining Sony Group’s diverse businesses in electronics, entertainment, and financial fields. For our research centre to blaze a trail in the latest technologies, we seek to foster the growth of a diverse pool of research and engineering talent and create a technology talent bank to drive research excellence worldwide. Sony Research India is offering outstanding career opportunities around frontline technologies such as AI and data analytics. What we are looking for: Highly motivated intern who can assist in our research and development efforts on multilingual translation, domain-specific evaluation, and LLM-based modeling. The ideal candidate should have prior project driven ( self or previous internships) experience in Deep Learning, Natural Language Processing, Reinforcement Learning. Key Responsibilities: Include collaborating closely with research scientists and other team members to explore and advance Neural Machine Translation (NMT) research within the scope of the project, like translation of entertainment domain content in various Indian and foreign languages. Interest or prior exposure to at least one of the following is desirable: Multilingual LLM probing and representation analysis Mixture of Experts (MoE) architectures Unsupervised or low-resource NMT Work Location: Remote/Bengaluru/Mumbai Duration of the paid internship: The paid internship will be for 6 months starting August 2025. The working hours are from 9:00 to 18:00 (Monday to Friday) full-time. Essential Education: Preferred Ph.D. candidate for this internship with thesis aligned towards causal inference or data science topics. We also welcome candidates with Bachelors and Master Degree who have sufficient project/prior internship work experience in Causal area. Skills required: Essential Skills: Good understanding in Deep Learning and Reinforcement Learning. Natural Language Processing Excellent coding skills, especially in Python and PyTorch Practical knowledge of the state-of-the-arts in LLM, Foundation Models, Neural Machine Translation. Good to have Skills: Experience in Indian Language Machine Translation Strong mathematical aptitude Papers in top-tier conferences like ICML, NeurIPS, AAAI, ACL, etc. Our Values: Dreams & Curiosity: Pioneer the future with dreams and curiosity. Diversity: Pursue the creation of the very best by harnessing diversity and varying viewpoints. Integrity & Sincerity: Earn the trust for Sony brand through ethical and responsible conduct. Sustainability: Fulfil our stakeholder responsibilities through disciplined business practices. Sony Research India is committed to equal opportunity in all its employment practices, policies and procedures and to ensuring that no worker or potential worker will receive less favourable treatment due to any characteristic protected under applicable local laws.

Job Title: AI/ML Cloud Engineer – Realistic Video Generation Location: Zirakpur, Mohali, Punjab, India Type: Full-Time Industry: AI & Cloud Solutions Experience Level: Mid to Senior Salary is no bar for ideal candidate. About Us We are a forward-thinking company leveraging cutting-edge AI and cloud technologies to deliver next-generation solutions for our clients. Our focus is on creating hyper-realistic, AI-generated videos for a wide range of industries including marketing, entertainment, training, and more. We're seeking a talented AI/ML Cloud Engineer who can design, build, and optimize scalable pipelines to bring these videos to life. Your Role As our AI/ML Cloud Engineer, you'll be responsible for building end-to-end systems that enable the generation of realistic videos using AI models (e.g., diffusion, generative adversarial networks, neural rendering). You will work at the intersection of machine learning, cloud infrastructure, and video processing. Responsibilities Develop and deploy AI/ML models for realistic video generation Design cloud-based pipelines for scalable media processing Integrate video synthesis tools with client-facing applications Optimize inference performance using GPU acceleration and distributed computing Collaborate with designers, data scientists, and engineers to fine-tune model outputs Ensure secure, efficient, and maintainable cloud infrastructure (AWS, GCP, or Azure) Stay updated with the latest in generative AI and video synthesis research Requirements Proven experience in AI/ML, particularly in generative models (GANs, VAEs, Diffusion Models) Solid understanding of video processing and computer vision techniques Hands-on experience with frameworks like PyTorch, TensorFlow, or similar Proficiency with cloud platforms (AWS, GCP, Azure) Familiarity with media encoding/decoding and streaming protocols Strong programming skills (Python, C++, etc.) Ability to work independently and manage multiple projects Preferred Qualifications Experience with any tools like Google Veo 3, RunwayML, Sora, DeepMotion, or similar video generation platforms Knowledge of 3D rendering engines or motion capture workflows Background in synthetic media ethics and responsible AI development What We Offer Competitive salary and equity options Work from office position with flexible working hours Access to powerful compute resources Opportunity to work on cutting-edge AI applications Supportive, innovative team environment How to Apply Send your resume, portfolio (if applicable), and a short note on your experience with AI-generated video to info@estina.in Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹75,000.00 per month Schedule: Day shift Morning shift Work Location: In person

Senior Software Engineer Bangalore, Karnataka, India + 1 more location Date posted Jul 08, 2025 Job number 1843994 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Software Engineering Discipline Software Engineering Employment type Full-Time Overview 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. 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. 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. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. 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.

Viziverse is creating a whole new genre of mobile video games! We're an exciting new startup founded by an experienced tech entrepreneur with multiple successful exits and degrees from MIT and Harvard Business School. As a Computer Vision Engineer , you’ll have a chance to develop and implement computer vision such as gesture recognition, pose estimation, segmentation, multimodal AI, etc. for a novel approach to video-recognition based video games that are fun, cool, and showcase and build upon our technology’s innovative capabilities. Moreover, you’ll have the opportunity to work directly with the founder and to work on things that will have a direct impact on the trajectory of both the technology and the company. What You’ll Do: Improve and innovate upon existing approaches for segmentation, pose-estimation, gesture recognition, SLAM, etc. for novel types of video games Explore application of latest cutting-edge technologies such as Multimodal AI and VLM (Vision Language Models), etc. If interested and capable, implement (as well as propose) games or other demos in C#/Unity to utilize new video recognition capabilities Must-Haves: Experience with C# development Experience implementing and utilizing AI / ML models in C# Experience with scripting languages (Python) Ability to write clean readable code Ability to work independently and efficiently manage one’s time Ability to communicate effectively and work well with others Nice-to-Haves: Experience with Unity development Experience with inference in Unity Experience with Human Body Segmentation, Pose Estimation, and Gesture Recognition Experience with Multimodal AI and VLM's (Vision Language Models) Experience with Computational Geometry, Mesh Generation, 3D Reconstruction, NeRF, Gaussian Splats, etc. Experience with Monocular Visual SLAM (As relevant for any of the above, please let us know what libraries you’ve used and/or if you’ve developed your own algorithms) Why join the Viziverse team? Make a novel platform that is the first to implement novel video recognition based gaming Work with an accomplished startup founder to directly impact the industry Join startup and get an early seat on a rocket ship to something potentially huge! Ready? If working on something fun, entrepreneurial, innovative, and industry-changing sounds appealing to you, then let’s talk. (And we’ll of course keep it confidential.) (Keywords: Computer Vision, CV, Machine Vision, Multimodal AI, VLM, Human Computer Interaction, HCI, Extended Reality, XR, Virtual Reality, VR, Augmented Reality, AR, Mixed Reality, MR, Metaverse)

We are seeking experienced Developers with strong Machine Learning and AI expertise to join our dynamic, remote-first team. In this role, you will design, develop, and deploy intelligent systems and ML-powered features that drive real-world impact. 🔧 Key Responsibilities: Design, develop, and deploy machine learning and AI solutions for scalable products and tools Collaborate with cross-functional teams to integrate ML models into production systems Build and optimize data pipelines and APIs for training, inference, and monitoring Continuously evaluate model performance and improve accuracy and reliability Maintain clean, scalable, and well-documented code Requirements Proficiency in Python (or a similar programming language) Hands-on experience with ML/AI frameworks such as TensorFlow, PyTorch, or Scikit-learn Understanding of data science workflows, model training, and evaluation Familiarity with cloud platforms (AWS, GCP, or Azure) Ability to work independently in a remote, agile environment Preferred Qualifications : Experience with NLP, recommendation systems, or generative AI Familiarity with MLOps tools, CI/CD practices, and containerized deployments Background in software engineering, data science, or applied mathematics Benefits Paid Time Off Work From Home Salary from $500-$1000

To know more, check out work.hike.in. At Hike, we're building the Rush Gaming Universe 🎮 📲 💰 In the fast-paced world of gaming, AI is our edge. As a Senior ML Engineer, you're not just building models — you're powering the intelligence behind the Rush Gaming Universe. Your work turns cutting-edge research into real-time, scalable systems that make gameplay smarter, faster, and more immersive. You don't just build AI—you use it every day. You're an AI-first thinker, leveraging state-of-the-art tools and intelligent systems to move faster, build smarter, and continuously push boundaries. 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 value system. We aim to live and breathe by these every single day. They inspire us to be the best we can be and they are weaved into every part of our decision making, how we review performance and much more. We have 9 core values{​{:} } Top Talent in Every Role → Both a quest for greatness & shared values are important to us 🦸‍♂ ️ Owner not a Renter → Proactive & radically responsible. Everyone is an owner ? ? Pro-Sports Team → Strength-based, results driven with a "team-first" attitude ⚽ ️ Customer Obsession → We exist to delight our customers ? ? Think Deeply & Exercise Good Judgement → Clear mind, obsession to simplify & data-informed 🙇‍♀ ️ Build & Make Magic → Courage to walk into the unknown and pioneer new fronts ? ? Be Insatiably curious & keep Improving → Curiosity to acquire new perspectives, quickly 👨‍? ? Move Fast & Be Dynamic → Ruthless prioritization & move fast 🙋‍♂ ️ Dream Big, Be Bold & Think Long Term → Courage to climb big mountains ? ? Skills & experience we're looking for 👨‍? ? 1-3 years of relevant industry experience | Top Talent in Every Rol e B.tech/MS from a top Tier institute | Top Talent in Every Rol e Strong programming abilities, especially Python Scientific & Deep Learning Stack (Numpy, Pandas, Pytorch/Tensorflow, Transformers, Diffusers etc.) | Top Talent in Every Rol e Solid foundations in Data-Structures, Algorithms, Design & Architecture | Top Talent in Every Rol e Exposure to Deep Learning, preferably building Generative AI applications | Top Talent in Every Rol e Experience working with LLMs such as Open AI GPTs, LLaMA & Claude with use cases taken to production. Preferably, experience working with SLMs and Mobile Language Models. | Top Talent in Every Rol e Strong AI-first mindset — you actively use AI tools (e.g., GitHub Copilot, GPT, LangChain) to enhance daily workflows, improve velocity, and automate repetitive dev tasks. | Be Insatiably curious & keep Improvin g Ability to work in a fast-paced environment without compromising on quality I Move Fast & Be Dynami c Ability to be self-directed and learn quickly, coupled with a strong desire to stay on top of latest developments in the field of AI | Be Insatiably curious & keep Improvin g Teamplayer with excellent organizational, communication and interpersonal skills I Pro Sports Tea m Excited about building cutting edge AI products in the fields of Computer Vision, Graphics, Audio, AR/VR etc., preferably with experience, in at least one of the areas | Be Insatiably curious & keep Improvin g You will ? ? Strategy → Build deep learning models in the areas of computer-vision, graphics & audi o Strategy → Own end to end Quality & Performance Metrics for AI deployment pipelines{​{:}} from learning to inference to renderi n g Operations → Create deployment pipelines for server-side as well as on-device real-time inferen c e Operations → Optimize ML inference pipelines to render high quality 3D graphics across multiple clients ranging from Android Native to game-engines like Uni t y Collaboration → Collaborate in a cross-functional setup including Artists, Engineers & Scientists to translate cutting-edge research (AI, Art & Graphics/Multimedia) into high quality user-experienc e s Operation → Leverage AI not just in product development but in your own workflow — from rapid prototyping with LLMs to automating test generation, documentation, and internal tooli n g 💰 Benefits → We have tremendous benefits & perks. Check out work.hike.in to know mo re

At OneNote, we are driven by a bold vision: "To help activate a second brain for everyone to realize their full potential." We are embarking on the next chapter of our evolution via Copilot Notebooks: notebooks designed for an AI powered future. We're building solutions that make capturing ideas seamless, understanding complex information intuitive, and taking informed action Whether it’s brainstorming the next big idea, organizing life’s intricate details, or simply finding clarity amid complexity, OneNote Copilot Notebooks is here. Join us as we reshape the future of AI by turning possibilities into realities — and help millions of users across the globe activate their second brain. We are looking for a Data Scientist II to join our team and help us shape the future of OneNote. In this role, you will partner with product, design, and engineering teams to deliver actionable insights, build experimentation frameworks, and identify growth opportunities. Your work will directly influence product development and user engagement strategies across millions of users. Our culture thrives on innovation, inclusion, growth mindset, and a strong sense of purpose. If you’re passionate about using data to drive decisions and want to work on a high-impact product at the cutting edge of productivity and AI, we’d love to hear from you. 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 You will understand each customer’s business goals and learn best practices for identifying growth opportunities. You’ll also examine projects through a customer-oriented focus and manage customer expectations regarding project progress. Collaborate with cross-functional teams to define metrics, design experiments, and uncover user behaviors that influence product adoption and growth. Use statistical analysis, data mining, and machine learning techniques to generate insights from large-scale structured and unstructured data. Acquire the data necessary for your project plan and use querying, visualization, and reporting techniques to describe that data. You’ll also explore data for key attributes and collaborate with others to perform data science experiments using established methodologies. Model techniques, select the correct tool and approach to complete objectives, and evaluate the output for statistical and business significance. You’ll also analyze model performance and incorporate customer feedback into its evaluation. Build dashboards and reports that enable product teams to track key performance indicators and make data-informed decisions. Develop and iterate on models to identify high-value scenarios, recommend features, and improve user retention and engagement. Communicate insights clearly and effectively to both technical and non-technical stakeholders, influencing product strategy and priorities. Contribute to a culture of data excellence by championing best practices in experimentation, measurement, and data governance. Understanding the current state of the industry, including current trends, so that you can contribute to thought leadership best practices. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR equivalent experience. 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience. Proficiency in SQL and at least one programming language such as Python or R. Experience with business intelligence tools (e.g., Power BI, Tableau). Strong statistical knowledge and experience with A/B testing, causal inference, or other experimentation methodologies. Experience working with large datasets and big data technologies (e.g., Azure Data Lake, Synapse, Databricks, Spark, or equivalent). Ability to work independently and collaboratively in a fast-paced, ambiguous environment. Candidate must be comfortable manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems. Candidate must be able to communicate complex ideas and concepts to leadership and deliver results. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications Experience in product analytics, growth strategy, or user engagement optimization. Familiarity with Microsoft Office ecosystem or productivity tools is a plus. Experience with Copilot/LLM-related user scenarios or AI-driven products. Strong storytelling and communication skills, with the ability to turn complex data into clear, actionable narratives for executives and product teams. Passion for building delightful and impactful user experiences with measurable outcomes. 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.

About Us Binome is a UK-based AI research, innovation, and development consultancy founded in 2023. Our team of experienced engineers from firms like Palantir, JP Morgan, and Goldman Sachs empowers SMEs and organizations by providing access to tailored GenAI and Agentic solutions. Our flagship product, Graphite, enables the creation of AI agents that handle business-critical functions with human-level performance and machine-level scale. The Role We're seeking a Technical Presales All-Star 🌟 An AI Sales and Solutions Engineer / Architect, who can be the face of our technology to clients worldwide. This is a remote opportunity starting as a rolling contract with the potential to transition to permanent employment, ideal for someone who thrives at the intersection of cutting-edge Agentic AI and business development. What You'll Do Lead technical presales conversations with prospective clients across North America, Western Europe, and Middle East markets Gather and analyze client requirements, translating business needs into technical solutions Build rapid proof-of-concepts ( PoCs ) on top of our Graphite platform to demonstrate value Deliver compelling technical demos and presentations to C-level executives and technical teams Drive outbound sales efforts, identifying and pursuing new business opportunities Contribute to our go-to-market strategy through research publications, thought leadership content, and technical blog posts Provide critical product feedback to our development team based on client interactions Nurture client relationships through the entire sales cycle, from first contact to deal closure Support existing clients with technical guidance and solution optimization What We're Looking For 👉 Essential Requirements: 8+ years of hands-on experience in tech/cloud systems architecture and implementation Recent, practical experience with Large Language Models ( LLMs ) and LLM-based tools Proven track record in technical presales, solution engineering , or sales engineering roles Strong sales acumen with demonstrable success in closing technical deals Exceptional English communication skills - you'll be presenting to senior stakeholders Timezone compatibility : GMT to GMT-4 (covering North America and Western Europe markets) Ability to rapidly prototype and build PoCs that showcase technical capabilities Experience gathering requirements from non-technical stakeholders and translating them into technical specifications 👉 Highly Desirable: Experience with AI/ML API providers, vector databases, and modern AI inference infrastructure Recent hands-on experience with "Vibe Coding" and rapid AI prototyping tools such as Replit, Codex, Cursor, Lovable, SupaBase, etc. Background in consulting or client-facing technical roles Track record of providing product feedback that influences roadmaps Experience with Cloud platforms (AWS, Azure, GCP) and modern development stacks Previous startup or scale-up experience What We Offer Competitive base salary plus performance-based commission structure Equity participation for high performers Rolling contract with potential transition to permanent employment based on mutual success Fully remote - work from anywhere within our target timezones High autonomy - drive your own hours, roadmap, strategy and execution Opportunity to shape the future of AI solutions in a rapidly growing market Direct access to leadership and influence on company direction Ready To Join Us? If you're a technical generalist who can sell, build, and deliver world-class AI solutions, we want to hear from you. This role offers the perfect blend of technical challenge, business impact, and growth potential in one of the most exciting spaces in tech today.

About Lowe’s Lowe's Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 17 million customer transactions a week in the U.S. With total fiscal year 2022 sales of over $97 billion, approximately $92 billion of sales were generated in the U.S., where Lowe's operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe's supports the communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts. About Lowe’s India At Lowe's India, we are the enablers who help create an engaging customer experience for our $97 billion home improvement business at Lowe's. Our 4000+ associates work across technology, analytics, business operations, finance & accounting, product management, and shared services. We leverage new technologies and find innovative methods to ensure that Lowe's has a competitive edge in the market. About the Team The pricing Analytics team supports pricing managers and merchants in defining and optimizing the pricing strategies for various product categories across the channels .The team leverages advance analytics to forecast/measure the impact of pricing actions , develop strategic price zones, recommend price changes and identify sales/margin opportunities to achieve company targets . Job Summary: The primary purpose of this role is to develop and maintain descriptive and predictive analytics models and tools that support Lowe's pricing strategy. Collaborating closely with the Pricing team, the analyst will help translate pricing goals and objectives into data and analytics requirements. Utilizing both open source and commercial data science tools, the analyst will gather and wrangle data to deliver data driven insights, trends, and identify anomalies . The analyst will apply the most suitable statistical and machine learning techniques to answer relevant questions and provide retail recommendations . The analyst will actively collaborate with product and business team, incorporating feedback through out the development to drive continuous improvement and ensure a best-in-class position in the pricing space. Roles & Responsibilities: Core Responsibilities: Translate pricing strategy and business objectives into analytics requirements. Develop and implement processes for collecting, exploring, structuring, enhancing, and cleaning large datasets from both internal and external sources. Conduct data validation, detect outliers, and perform root cause analysis to prepare data for statistical and machine learning models. Research, design, and implement relevant statistical and machine learning models to solve specific business problems. Ensure the accuracy of data science and machine learning model results and build trust in their reliability. Apply machine learning model outcomes to relevant business use cases. Assist in designing and executing A/B tests, multivariate experiments, and randomized controlled trials (RCTs) to evaluate the effects of price changes. Perform advanced statistical analyses (e.g., causal inference, Bayesian analysis, regression modeling) to extract actionable insights from experimentation data. Collaborate with teams such as Pricing Strategy & Execution, Analytics COE, Merchandising, IT, and others to define, prioritize, and develop innovative solutions. Keep up to date with the latest developments in data science, statistics, and experimentation techniques. Automate routine manual processes to improve efficiency. Years of Experience: 3-6 years of relevant experience Education Qualification & Certifications (optional) Required Minimum Qualifications : Bachelor’s or Masters in Engineering/business analytics/Data Science/Statistics/economics/math Skill Set Required Primary Skills (must have) 3+ Years of experience in advance quantitative analysis , statistical modeling and Machine Learning. Ability to perform various analytical concepts like Regression, Sampling techniques, hypothesis, Segmentation, Time Series Analysis, Multivariate Statistical Analysis, Predictive Modelling. 3+ years’ experience in corporate Data Science, Analytics, Pricing & Promotions, Merchandising, or Revenue Management . 3+ years’ experience working with common analytics and data science software and technologies such as SQL, Python, R, or SAS. 3+ years’ experience working with Enterprise level databases ( e.g., Hadoop, Teradata, Oracle, DB2 ) 3+ years’ experience using enterprise-grade data visualization tools ( e.g., Power BI , Tableau ) 3+ years’ experience working with cloud platforms ( e.g., GCP, Azure ,AWS ) Secondary Skills (desired) Technical expertise in Alteryx, Knime.

Data Scientist II Hyderabad, Telangana, India Date posted Jul 07, 2025 Job number 1828565 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview At OneNote, we are driven by a bold vision: "To help activate a second brain for everyone to realize their full potential." We are embarking on the next chapter of our evolution via Copilot Notebooks: notebooks designed for an AI powered future. We're building solutions that make capturing ideas seamless, understanding complex information intuitive, and taking informed action Whether it’s brainstorming the next big idea, organizing life’s intricate details, or simply finding clarity amid complexity, OneNote Copilot Notebooks is here. Join us as we reshape the future of AI by turning possibilities into realities — and help millions of users across the globe activate their second brain. We are looking for a Data Scientist II to join our team and help us shape the future of OneNote. In this role, you will partner with product, design, and engineering teams to deliver actionable insights, build experimentation frameworks, and identify growth opportunities. Your work will directly influence product development and user engagement strategies across millions of users. Our culture thrives on innovation, inclusion, growth mindset, and a strong sense of purpose. If you’re passionate about using data to drive decisions and want to work on a high-impact product at the cutting edge of productivity and AI, we’d love to hear from you. 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. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR equivalent experience. 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience. Proficiency in SQL and at least one programming language such as Python or R. Experience with business intelligence tools (e.g., Power BI, Tableau). Strong statistical knowledge and experience with A/B testing, causal inference, or other experimentation methodologies. Experience working with large datasets and big data technologies (e.g., Azure Data Lake, Synapse, Databricks, Spark, or equivalent). Ability to work independently and collaboratively in a fast-paced, ambiguous environment. Candidate must be comfortable manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems. Candidate must be able to communicate complex ideas and concepts to leadership and deliver results. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Experience in product analytics, growth strategy, or user engagement optimization. Familiarity with Microsoft Office ecosystem or productivity tools is a plus. Experience with Copilot/LLM-related user scenarios or AI-driven products. Strong storytelling and communication skills, with the ability to turn complex data into clear, actionable narratives for executives and product teams. Passion for building delightful and impactful user experiences with measurable outcomes. Responsibilities You will understand each customer’s business goals and learn best practices for identifying growth opportunities. You’ll also examine projects through a customer-oriented focus and manage customer expectations regarding project progress. Collaborate with cross-functional teams to define metrics, design experiments, and uncover user behaviors that influence product adoption and growth. Use statistical analysis, data mining, and machine learning techniques to generate insights from large-scale structured and unstructured data. Acquire the data necessary for your project plan and use querying, visualization, and reporting techniques to describe that data. You’ll also explore data for key attributes and collaborate with others to perform data science experiments using established methodologies. Model techniques, select the correct tool and approach to complete objectives, and evaluate the output for statistical and business significance. You’ll also analyze model performance and incorporate customer feedback into its evaluation. Build dashboards and reports that enable product teams to track key performance indicators and make data-informed decisions. Develop and iterate on models to identify high-value scenarios, recommend features, and improve user retention and engagement. Communicate insights clearly and effectively to both technical and non-technical stakeholders, influencing product strategy and priorities. Contribute to a culture of data excellence by championing best practices in experimentation, measurement, and data governance. Understanding the current state of the industry, including current trends, so that you can contribute to thought leadership best practices. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. 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.

We're looking for a hands-on Computer Vision Engineer who thrives in fast-moving environments and loves building real-world, production-grade AI systems. If you enjoy working with video, visual data, cutting-edge ML models, and solving high-impact problems, we want to talk to you. This role sits at the intersection of deep learning, computer vision, and edge AI, building scalable models and intelligent systems that power our next-generation sports tech platform. Requirements: Strong command of Python and familiarity with C/C++ Experience with one or more deep learning frameworks: PyTorch, TensorFlow, Keras. Solid foundation in YOLO, Transformers, or OpenCV for real-time visual AI. Understanding of data preprocessing, feature engineering, and model evaluation using NumPy, Pandas, etc. Good grasp of computer vision, convolutional neural networks (CNNs), and object detection techniques. Exposure to video streaming workflows (e. g., GStreamer, FFmpeg, RTSP). Ability to write clean, modular, and efficient code. Experience deploying models in production, especially on GPU/edge devices. Interest in reinforcement learning, sports analytics, or real-time systems An undergraduate degree (Master's or PhD preferred) in Computer Science, Artificial Intelligence, or a related discipline is preferred. A strong academic background is a plus. Responsibilities: Design, train, and optimize deep learning models for real-time object detection, tracking, and video understanding. Implement and deploy AI models using frameworks like PyTorch, TensorFlow/Keras, and Transformers. Work with video and image datasets using OpenCV, YOLO, NumPy, Pandas, and visualization tools like Matplotlib. Collaborate with data engineers and edge teams to deploy models on real-time streaming pipelines. Optimize inference performance for edge devices (Jetson, T4 etc. ) and handle video ingestion workflows. Prototype new ideas rapidly, conduct A/B tests, and validate improvements in real-world scenarios. Document processes, communicate findings clearly, and contribute to our growing AI knowledge base. Job Type: Full-time Pay: ₹800,000.00 - ₹1,600,000.00 per year Schedule: Day shift Ability to commute/relocate: Saket, Delhi, Delhi: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Work Location: In person

Proud to share LSEG in the India is Great Place to Work certified (Jun ’25 – Jun ’26). Learn more about life and purpose of our company directly from India colleagues’ video: Bengaluru, India | Where We Work | LSEG Team Overview Join the Innovation & Intelligence Team within the Data & Analytics Operations function at the London Stock Exchange Group (LSEG). We are a dynamic group of data scientists, engineers, and analysts who deliver impactful automation and AI solutions that enhance operational performance across the organisation. We work in an agile, collaborative environment, partnering closely with Engineering and D&A Operations teams to shape the technology roadmap and drive innovation. Our mission is to accelerate value delivery while building scalable, future-ready capabilities. What You’ll Do As an ML Engineer, you will: Design and implement solutions using AI/ML and other Automation technologies to solve real-world business challenges. Collaborate with cross-functional teams to gather requirements and translate them into working prototypes and production-ready tools. Build and test Proof of Concepts (POCs) and Minimum Viable Products (MVPs) to validate new ideas and approaches. Develop and maintain data pipelines, inference workflows, and other automation components. Continuously learn and apply emerging technologies to enhance solution effectiveness. Contribute to a culture of innovation, experimentation, and continuous improvement. What We’re Looking For Proven experience in AI/ML solution development, ideally in a fast-paced or enterprise environment. Strong programming skills in Python and demonstrated ability to use SQL for complex data tasks. Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP). Ability to think analytically and solve complex problems with creativity and rigour. Excellent communication skills to articulate technical concepts to diverse audiences. A proactive mindset and eagerness to learn new tools and techniques. Inclusion and Accessibility LSEG is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require any accommodations during the recruitment process, please let us know—we’re here to support you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Machine Learning Engineer – Applied AI & Scalable Model Deployment Location : Sector 63, Gurgaon – 100% In-Office Working Days : Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM to 8:00 PM Experience : 2–6 years in machine learning engineering or applied data science roles Apply at : careers@darwix.ai Subject Line : Application – Machine Learning Engineer – [Your Name] About Darwix AI Darwix AI is India’s leading GenAI SaaS platform powering real-time sales enablement and conversational intelligence for large enterprise teams. Our products— Transform+ , Sherpa.ai , and Store Intel —support revenue teams in BFSI, retail, real estate, and healthcare by delivering multilingual voice analysis, real-time AI nudges, agent coaching, and in-store behavioral analytics. Darwix AI is redefining how large-scale human interactions drive revenue outcomes. As we expand rapidly across India, MENA, and Southeast Asia, we are strengthening our core ML engineering team to accelerate new feature development and production deployments. Role Overview As a Machine Learning Engineer , you will design, build, and operationalize robust ML models for real-time and batch processing workflows across Darwix AI’s product suite. Your work will span conversational intelligence, voice and text analytics, predictive scoring, and decision-support systems. You will collaborate closely with AI research engineers, backend teams, and product managers to translate business problems into scalable and maintainable ML pipelines. This is a hands-on, impact-first role focused on turning advanced ML models into production systems used by large enterprise teams daily. Key ResponsibilitiesModel Development & Training Design, build, and optimize models for tasks such as classification, scoring, topic detection, and conversation summarization. Work on feature engineering pipelines, data preprocessing, and large-scale training on structured and unstructured datasets. Evaluate model performance using robust metrics (accuracy, recall, precision, WER for voice tasks). Deployment & Productionization Package and deploy models as scalable APIs and microservices integrated with core product workflows. Optimize inference pipelines for latency, throughput, and cost in production environments. Work closely with DevOps and backend engineers to ensure robust CI/CD, monitoring, and auto-recovery workflows. Data & Pipeline Engineering Develop and maintain data pipelines to ingest, clean, transform, and label large volumes of voice and text data. Implement logging, data versioning, and audit trails to ensure traceable and reproducible experiments. Monitoring & Continuous Improvement Build automated evaluation frameworks to detect model drift and performance degradation. Analyze live production data to identify opportunities for iterative improvements and fine-tuning. Contribute to A/B testing design for model-driven features to validate business impact. Collaboration & Documentation Work with cross-functional teams to gather requirements, define success criteria, and drive end-to-end feature implementation. Maintain clear technical documentation for data flows, model architectures, and deployment processes. Mentor junior engineers on best practices in ML system design and operationalization. Required Skills & Qualifications 2–6 years of experience in ML engineering, applied ML, or data science with a strong focus on production systems. Proficiency in Python , including experience with ML libraries such as PyTorch, TensorFlow, Scikit-learn, or Hugging Face. Solid understanding of data preprocessing, feature engineering, and ML model lifecycle management. Experience deploying models as REST APIs or microservices in cloud or containerized environments. Strong knowledge of relational and NoSQL databases, and familiarity with data pipeline tools. Good understanding of MLOps concepts, including CI/CD for ML, model monitoring, and A/B testing. Preferred Qualifications Exposure to speech or voice analytics , including speech-to-text systems and audio signal processing. Familiarity with large language models (LLMs), embeddings, or retrieval-augmented generation (RAG) pipelines. Experience with distributed training, GPU optimization, or large-scale batch inference. Knowledge of vector databases (FAISS, Pinecone) and real-time recommendation systems. Prior experience in SaaS product environments targeting enterprise clients. Success in This Role Means Models integrated into production systems delivering measurable improvements to business KPIs. High availability, low-latency inference pipelines powering real-time features for large enterprise users. Rapid iteration cycles from model conception to production deployment. Strong, well-documented, and reusable ML infrastructure supporting ongoing product and feature launches. You Will Excel in This Role If You Are passionate about building ML systems that create real business impact, not just offline experiments. Enjoy working with noisy, multilingual, and large-scale datasets in high-stakes settings. Love solving engineering challenges involved in scaling AI solutions to thousands of enterprise users. Thrive in a fast-paced, ownership-driven environment where ideas translate quickly to live features. Value documentation, reproducibility, and collaboration as much as technical depth. How to Apply Email your updated CV to careers@darwix.ai Subject Line: Application – Machine Learning Engineer – [Your Name] (Optional): Include links to your GitHub, published papers, blog posts, or a short note on a real-world ML system you helped deploy and what challenges you overcame. This is a unique opportunity to join the core engineering team at one of India’s most innovative GenAI startups and shape how enterprise teams leverage AI for real-time decision-making and revenue growth. If you are ready to build AI at scale, Darwix AI wants to hear from you.

BrandAstra is an AI-powered emotional intelligence platform designed to revolutionize how brands connect with and understand their consumers.By leveraging emotional intelligence, BrandAstra offers real-time social listening and sentiment analysis to help brands assess, predict, and enhance consumer sentiment across multiple digital touchpoints that includes internal and external platforms. Job overview We are seeking a talented Generative AI Engineer with 3–4 years of experience to join our innovative team. In this role, you will develop and implement cutting-edge generative AI models to generate for content generation, automation and personalized experiences. It will help solve complex problems and drive innovation in our marketing campaigns. Your work will directly influence how brands connect with and understand their audiences. Key responsibilities: Design, train, and fine-tune LLMs and generative models (e.g., GPT, LLaMA, BERT variants) Build modular pipelines using LangChain or similar to integrate models into marketing intelligence workflows Work with the product and data teams to convert raw user interaction and social signals into training-ready datasets Implement inference optimizations and retrieval-augmented generation (RAG) systems for real-time outputs Evaluate outputs against performance benchmarks, and iterate based on live feedback Stay ahead of the latest releases in open-source model families, vector stores, and fine-tuning techniques Must Haves: Proficiency in Python Strong experience with PyTorch and TensorFlow Familiarity with Transformers (HuggingFace library) Hands-on experience with LangChain , LlamaIndex , and Hugging Face Hub Working knowledge of LLaMA models, RAG workflows, and vector DBs (e.g., FAISS, Pinecone) Experience deploying models via Hugging Face Spaces , FastAPI , or similar tools Solid understanding of prompt engineering, tokenization, and memory management for LLMs Qualification 3–4 years of hands-on experience in building and deploying AI/ML systems Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or equivalent Experience working in agile product teams with engineers and PMs Familiarity with real-world use cases involving unstructured customer data Bonus: Prior work in marketing tech, NLP for business intelligence, or AI SaaS products What's in it for you? Opportunity to work on a category-defining product at the edge of AI and marketing A sharp, collaborative team of builders and thinkers Flexible work schedule and autonomy to shape your roadmap Competitive compensation. If you're passionate about using Generative AI to help brands understand people better, this is your place. Apply now and help build the brain behind the world’s smartest marketing teams.

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 30 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: Java, Node, Deployment, Image Processing, AWS, Computer Vision, object detection, FastAPI Crop.Photo is Looking for: We’re 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. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (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 You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS 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 team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services 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 debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster 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!