9303 Pytorch Jobs - Page 3

We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models to join our dynamic team. As a Development Lead, you will play a key role in developing cutting-edge AI models and systems for our clients. Your primary focus will be on driving innovation and leveraging generative AI techniques to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of AI technology. Job Description: Responsibilities : Develop and implement creative experiences, campaigns, apps, and digital products, leveraging generative AI technologies at their core. Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs, Base Foundation Models, Fine Tuned models, working with a variety of different LLMs and LLM APIs. Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines. Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions. Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving field Design and optimize Gen-AI Apps for efficient data processing and model leverage. Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation. Evaluate and fine-tune models to ensure high performance and accuracy. Collaborate with engineers to develop and integrate AI solutions into existing systems. Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the company's technical knowledge base. Must-Have: Strong Expertise in Python development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development. Minimum 2 years hands-on experience in working with Generative AI Applications and Solutions. Minimum 2 years hands-on experience in working with Large Language Models Solid understanding of Transformer Models and how they work. Reasonable understanding of Diffusion Models and how they work. Hands-on Experience with building production solutions using a variety of different. Experience with multiple LLMs and models - including GPT-4o, Gemini, Claude, Llama, etc. Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, including Azure OpenAI, AWS Bedrock, and/or GCP Vertex AI. Solid Hands-on Experience working with Enterprise RAG technologies and solutions / frameworks - including LangChain, Llama Index, etc. Solid Hands-on Experience with developing end-to-end RAG Pipelines. Solid Hands-on Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents. Hands-on experience with Single-Agent and Multi-Agent Orchestration solutions Solid Hands-on Experience with AI and LLM Workflows Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc. Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.). Experience in data preprocessing, and post-processing model / results evaluation. Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable. Hands-on Experience with Image Processing and Creative Automation at scale, using AI models. Hands-on experience with image and media transformation and adaptation at scale, using AI Art and Diffusion models. Hands-on Experience with dynamic creative use cases, using AI Art and Diffusion Models. Hands-on Experience with Fine-Tuning LLM models at scale. Hands-on Experience with Fine-Tuning Diffusion models and Fine-tuning techniques such as LoRA for AI Art models as well. Hands-on Experience with AI Speech models and services, including Text-to-Speech and Speech-to-Text. Ability to lead design and development teams, for Full-Stack Gen-AI Apps and Products/Solutions, built on LLMs and Diffusion models. Ability to lead design and development for Creative Experiences and Campaigns, built on LLMs and Diffusion models. Nice-to-Have: Good Background and Foundation with Machine Learning solutions and algorithms Experience with designing, developing, and deploying production-grade machine learning solutions. Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Experience with custom ML model development and deployment Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong knowledge of machine learning algorithms and their practical applications. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Hands-on Experience with Video Generation models. Hands-on Experience with 3D Generation Models. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent

Data Science @Dream Sports: Data Science at Dream Sports comprises seasoned data scientists thriving to drive value with data across all our initiatives. The team has developed state-of-the-art solutions for forecasting and optimization, data-driven risk prevention systems, Causal Inference and Recommender Systems to enhance product and user experience. We are a team of Machine Learning Scientists and Research Scientists with a portfolio of projects ranges from production ML systems that we conceptualize, build, support and innovate upon, to longer term research projects with potential game-changing impact for Dream Sports. This is a unique opportunity for highly motivated candidates to work on real-world applications of machine learning in the sports industry, with access to state-of-the-art resources, infrastructure, and data from multiple sources streaming from 250 million users and contributing to our collaboration with Columbia Dream Sports AI Innovation Center. Your Role: Implementing appropriate success metrics, driving rapid experimentation of new POCs and presenting the impacts to stakeholders Driving knowledge sharing sessions within and across teams while maintaining continuous feedback channels with teammates to ensure building growth paths Owning respective services by following best practices in service maintainability, understanding and acting on the risks and opportunities involved Prioritising roadmaps while balancing impact, effort, resources and team's requirements to complete initiatives within committed timelines Developing and evaluating predictive and prescriptive models using appropriate mathematical methods like supervised and unsupervised learning, frequentist statistics, estimation methods Designing large-scale ML systems with advanced ML frameworks like TensorFlow/Keras/PyTorch for training and inferencing at scale Ensuring cross team alignment towards business/project goals by driving visibility of initiatives, managing conflicts, and highlighting implementation blocks Qualifiers: 6 - 10 years of experience in building and maintaining ML solutions at scale Proficient in predictive modelling (ML,DL/RL) and experimentation/causal inference methods Atleast 1 year of experience in managing team of data scientists and handling cross functional stakeholders Proven track record of designing end to end ML systems which can handle the scale About Dream Sports: Dream Sports is India’s leading sports technology company with 250 million users, housing brands such as Dream11 , the world’s largest fantasy sports platform, FanCode , a premier sports content & commerce platform and DreamSetGo , a sports experiences platform. Dream Sports is based in Mumbai and has a workforce of close to 1,000 ‘Sportans’. Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports’ vision is to ‘Make Sports Better’ for fans through the confluence of sports and technology. For more information: https://dreamsports.group/ Dream11 is the world’s largest fantasy sports platform with 230 million users playing fantasy cricket, football, basketball & hockey on it. Dream11 is the flagship brand of Dream Sports, India’s leading Sports Technology company and has partnerships with several national & international sports bodies and cricketers.

Job Summary: We are looking for a passionate and skilled AI/ML Trainer to lead and deliver impactful training programs in Artificial Intelligence and Machine Learning. The ideal candidate will have strong technical expertise, teaching ability, and a commitment to guiding learners in their AI career journey. This role includes conducting training sessions, hands-on workshops, and industry-relevant seminars at partner institutes and colleges. Key Responsibilities: Design and deliver training sessions on Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and Generative AI. Conduct online and offline classes with engaging teaching methods to ensure active student participation. Develop practical projects, real-world case studies, and interactive exercises for hands-on learning. Mentor learners through projects, research work, and career-oriented guidance. Regularly update course materials to reflect current trends and advancements in AI. Conduct assessments, quizzes, and evaluations to track and improve student performance. Collaborate with industry professionals and subject matter experts to improve course quality. 8.Organize and conduct add-on courses, seminars, and workshops at institutes, colleges, and partner organizations to promote AI education and awareness. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field. Solid understanding and practical experience in Machine Learning, Deep Learning, NLP, and popular frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Proficiency in Python, along with experience in data visualization and AI model deployment. Prior experience in training, mentoring, or teaching AI/ML topics is preferred. Excellent communication, public speaking, and presentation skills. Comfortable with conducting both classroom-based and virtual training sessions. Willingness to travel to institutes and colleges for seminars, workshops, and training programs Preferred Qualifications: Experience in real-world AI/ML projects and industry practices. Familiarity with MLOps, cloud computing platforms (AWS, GCP, Azure), and version control systems. Relevant certifications in AI/ML from recognized institutions

Immediate/Early Joiners preferred We are hiring a senior AI/ML & GenAI Developer (4+ years of experience) for our client. AI/ML & GenAI Development: Hands-on experience with RAG and Agentic AI applications Proficient with Large Language Models (LLMs) and related frameworks (e.g., Langchain, LlamaIndex) Solid understanding of Deep Learning and Natural Language Processing (NLP) Proven experience in building and deploying AI/ML and Generative AI applications Strong command of ML frameworks like TensorFlow, PyTorch, Scikit-learn, etc. Software Development & Cloud Platforms: Hands-on experience with Azure and Databricks Strong Python programming skills Experience in building CI/CD pipelines for AI/ML workflows, including MLOps, RAG pipelines, and data ingestion pipelines You may also send your resumes to us at cv@refrelay.com

AI Engineer Intern - Generative AI & LLMs Company: Splashgain Department : R&D Location: Pune, Maharashtra (Hybrid - 3 days/week in office) Duration: 6 to 12 months (Sept 1, 2025 – Aug 31, 2026) Why This Opportunity is Different This isn't your typical internship. You're joining an elite R&D team where your code will power real products and your innovations will impact thousands of users. We're not just teaching you about AI—we're empowering you to build the intelligent systems that will define tomorrow. Ready to go from AI enthusiast to AI architect in just 12 months? What You'll Do Build AI solutions using LLMs (GPT, Claude, LLaMA, Mistral) Develop chatbots, AI agents, and document analyzers Work with RAG, vector databases, and prompt engineering Use frameworks like LangChain, LlamaIndex, CrewAI Evaluate and optimize AI models for production Collaborate with product teams on real-world projects Requirements Currently pursuing or recently completed B.Tech / M.Tech / M.Sc / PhD in CS, AI, or Data Science. Strong Python skills with hands-on experience using PyTorch, HuggingFace Transformers, or OpenAI APIs. Understanding of LLM architecture, NLP, and prompt engineering principles. Passionate and self-driven individual with a keen interest in Generative AI applications. Nice to Have Frontend development (React/Angular) Model fine-tuning experience Vector database knowledge (FAISS, Pinecone) LangChain/LlamaIndex experience What We Offer Direct mentorship from senior AI experts Work on production systems with real user impact Potential for full-time offer (PPO) based on performance Job Types: Full-time, Fresher, Internship Contract length: 6 months Pay: ₹10,952.70 - ₹40,595.96 per month Work Location: In person

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Senior Machine Learning Engineer Are you fascinated by machine learning and building robust machine learning pipelines which process massive amounts of data at scale and speed to provide crucial insights to the end consumers? This is exactly what we, the Machine Learning Engineering group in Expedia, do. Our mission is to partner with our Machine Learning Science counterparts to use AI/ML to collaboratively transform Expedia’s data assets into intelligent and real-time insights to support a variety of applications which are used by 1000+ market managers, analysts, our supply partners, and our travelers. Our work spans across a variety of datasets and ML models and across a diverse technology stack ranging from Spark, Sagemaker, Airflow, Databricks, Kubernetes, AWS and much more! In This Role, You Will Work in a cross-functional team of Machine Learning engineers and Data scientists to design and code large scale batch and real-time data pipelines on the AWS Design, implement and deploy large scale data pipelines (both real time and batch) and back-end services on Big Data and AWS platforms Lead the end-to-end product life cycle for mid to large machine learning/data engineering projects: Design, development, model validation/testing, model deployment, and providing operational excellence and support Find and advocate for Industry standards and best practices in machine learning engineering methodologies, techniques, and technologies Contribute to advancing the team's design methodology and quality programming practices and mentor junior team members to adapt best practices Innovate and implement new ideas to solve complex software problems and prototype creative solutions to enable product MVP's Independently understand scheduling, cost constraints, and impact to other teams; and make resource and architectural trade-offs based on those factors Anticipate and prevent problems and roadblocks, before they occur, and present technical issues and their impact to leadership Lead, coordinate, and collaborate on multiple concurrent and complex cross-organizational initiatives Effectively build and maintain a network of key contacts across company, and leverage these contacts to achieve results Communicate and work effectively with geographically distributed cross functional teams Drive for continuous improvement in software and development process within an agile development team Experience And Qualifications Bachelor's or Master's Degree in software engineering, computer science, informatics or in a related technical field; or equivalent related professional experience 8 to 10+ years of work experience in software engineering 4+ years’ experience in designing and implementing Big Data applications (data ingestion, real-time data processing and batch analytics) in Spark Streaming, Kafka, Hadoop Experience on Hadoop-ecosystem technologies in particular MapReduce, Spark, Hive, YARN Experience in productionizing machine learning models including feature engineering, model scalability, model validation, and model deployment Solid server-side programming skills in multiple languages (Scala/Java and Python), and hands-on experience in OOAD, design patterns, NoSQL and SQL Strong experience with cloud computing platforms (AWS, EMR, Kubernetes, Docker) Strong experience working with ML platforms (Databricks, SageMaker, etc.) Solid knowledge in SQL (T-SQL/PL-SQL), ETL and data modelling Experience with microservice architecture, and design Experience on machine learning toolkits like spark mllib, H20, scikit-learn, R and ML techniques Strong command with machine learning libraries such as PyTorch and Tensorflow and knowledge of common integration patterns for serving inference with them Familiar with training models with very large datasets- strategies for parallelizing and optimizing the training jobs especially with GPUs or large-compute You have hands-on experience with workflow management tools (e.g. Airflow) Familiar with machine learning inference at scale. Can instrument streaming or parallel inference tasks to accommodate large traffic or volume of data Experience working with Agile/Scrum methodologies Familiarity with the e-commerce or travel industry Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Full-Stack Developer / Acting CTO – Fashion & Lifestyle Tech Location: Chhattarpur, Delhi Type: Full-Time, Leadership Track Experience Level: 7+ years in full-stack development, with leadership experience The Role We’re building a next-generation platform for the fashion and lifestyle space , using some of the latest technologies to deliver a holistic, real-world shopping experience—virtually . This will be on the edge of technology and user experience , merging multi-surface integrations, AI-driven personalization, and immersive interaction. With Growify Digital’s deep penetration in the Indian luxury & high-AOV fashion ecosystem , this platform will launch into a ready, high-value client base —making adoption faster, feedback sharper, and success more likely from day one. This is a rare chance to lead the build of a tool that can redefine how e-commerce is done online, with Shopify apps, browser extensions, AI-driven recommendation engines, and scalable data infrastructure —all under one roof. What You’ll Build Multiple Shopify Apps (embedded & standalone) for discovery, personalization, and advanced store integration Browser Extensions (Chrome, Edge, Safari) delivering in-context shopping experiences Core Web Platform with Single Sign-On across all front ends Rule-based Recommendation Engine , evolving into AI/ML personalization Centralized, Scalable Database for user, product, and behavioral data Data Cleaning & Pipeline Systems for ML training and analytics API Layer for seamless integration across all surfaces and services Key Responsibilities Architect & develop the core platform for scale, speed, and security Lead the technical roadmap from MVP to large-scale adoption Recruit, mentor, and manage the tech team as Acting CTO Ensure best-in-class user experience and tech performance across devices Transition from rules-based systems to AI/ML for personalization and recommendations Collaborate closely with product and business teams to align with market needs Required Skills Full-stack expertise: React/Vue + Node.js/Python (or equivalent) Database architecture: SQL & NoSQL, large-scale data modeling API mastery: REST, GraphQL, OAuth/SSO Shopify app development: Storefront API, Admin API Browser extension development: Chrome/Edge/Safari APIs AI/ML integration: TensorFlow, PyTorch, or similar frameworks Cloud infrastructure (AWS, GCP, Azure) & DevOps best practices Preferred Experience in fashion/lifestyle e-commerce or AR/VR tech Knowledge of computer vision for virtual try-on Prior CTO or startup tech leadership experience Why This is a Once-in-a-Lifetime Role Cutting-edge project at the intersection of fashion, lifestyle, and AI Immediate adoption via Growify’s existing high-value fashion client base Strong market know-how baked in from day one High-impact role with ownership and creative control Competitive pay + equity in a product with massive upside If you want technical variety, strategic ownership, and the thrill of building a product that could reshape online fashion commerce —this is it.

Job Description We are seeking an experienced and highly motivated AI/ML Lead Developer to lead our team in the development of advanced AI/ML solutions. The ideal candidate will have a strong focus on natural language processing (NLP) and NLU related work, with secondary focus on computer vision and deep learning. Experience with chatbots development would be a plus. Key Responsibilities: Lead the development and implementation of advanced AI/ML algorithms for natural language processing, computer vision, and deep learning tasks Collaborate with cross-functional teams to understand business requirements and develop solutions Mentor and manage a team of AI/ML developers, guiding them in the development of high-quality, scalable AI/ML models Experiment with new AI/ML techniques and technologies to improve performance and scalability Stay up-to-date with the latest research in AI/ML, particularly in the areas of NLP, computer vision, and deep learning Qualifications: 5+ years of experience in AI/ML development with a strong focus on NLP related work, and secondary focus on computer vision and deep learning Experience leading and managing a team of AI/ML developers Strong programming skills in Python and experience with TensorFlow, PyTorch, Keras, or similar frameworks Experience with NLP libraries such as NLTK, spaCy, HuggingFace and computer vision libraries like OpenCV Working experience with GPT3, BERT models Experience with deep learning architectures such as CNN, RNN, GAN and LSTM Strong understanding of machine learning concepts and techniques Experience with cloud-based AI/ML platforms such as AWS or Google Cloud Experience with chatbot development is a plus Excellent communication and leadership skills Please share your updated CV on deepti.vyas@smartdatainc.net or call us on 9664338930 Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹1,500,000.00 per year Benefits: Provident Fund Experience: Python: 3 years (Preferred) Machine learning: 3 years (Preferred) Deep learning: 3 years (Preferred) AI: 2 years (Preferred) Location: Nagpur, Maharashtra (Preferred) Work Location: In person

As an AI and Machine Learning engineer at Dailoqa, you will play a crucial role in shaping the future of Financial Services clients and the company. Working directly with the founding team, you will have the opportunity to apply the latest AI techniques to address real challenges faced by Financial Services clients. Your responsibilities will involve designing, building, and refining datasets to evaluate and enhance our solutions, as well as contributing to strategy and product ideation sessions to influence our product and solution roadmap. Key Responsibilities: - **Agentic AI Development**: Build scalable multi-modal Large Language Model (LLM) based AI agents using frameworks like LangGraph, Microsoft Autogen, or Crewai. - **AI Research and Innovation**: Research and develop innovative solutions for relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, fine-tuning, and reasoning in LLMs. - **Technical Expertise**: Demonstrate proficiency in a technology stack comprising Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, and React. - **LLM and NLP Experience**: Utilize hands-on experience with LLMs, RAG architectures, Natural Language Processing (NLP), or applying Machine Learning to solve practical problems. - **Dataset Development**: Showcase a strong track record in constructing datasets for training and evaluating machine learning models. - **Customer Focus**: Engage deeply in the domain, grasp the problem intricacies, and prioritize delivering value to the customer. - **Adaptability**: Excel in a dynamic environment and exhibit enthusiasm about contributing to an early-stage venture. - **Model Deployment and Management**: Automate model deployment, monitoring, and retraining procedures. - **Collaboration and Optimization**: Collaborate with data scientists to review, refactor, and optimize machine learning code. - **Version Control and Governance**: Implement version control and governance for models and data. Required Qualifications: - Bachelor's degree in computer science, Software Engineering, or a related field - 4-8 years of experience in MLOps, DevOps, or related roles - Strong programming skills and familiarity with Python-based deep learning frameworks like Pytorch, JAX, Tensorflow - Sound understanding and knowledge of machine learning concepts - Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform Desired Skills: - Experience with experiment tracking and model versioning tools - Proficiency in the technology stack: Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. - Knowledge of data pipeline orchestration tools like Apache Airflow or Prefect - Familiarity with software testing and test automation practices - Understanding of ethical considerations in machine learning deployments - Strong problem-solving abilities and adeptness in a fast-paced environment Join us at Dailoqa and be part of a team that values innovation, collaboration, and relentless curiosity. If you are proactive, adaptable, and keen on making a direct impact on success, apply now and embark on a journey of growth and fun in the world of AI and Machine Learning within the financial services industry.,

The role of a Team Lead entails leading a technical team proficient in Python development and possessing a foundational knowledge of AI/ML systems. You will be responsible for guiding the team in a collaborative, in-premise environment in Udupi, combining technical leadership, hands-on coding, and strategic thinking in AI/ML-driven application development. Working closely with engineers, data scientists, and stakeholders, you will play a key role in architecting solutions, promoting best practices, and cultivating a culture of quality, agility, and continuous learning. Your responsibilities will include leading and mentoring a team of developers focusing on Python-based platforms and AI/ML-driven applications. You will collaborate with stakeholders to translate business challenges into scalable technical solutions, guide the design and implementation of AI/ML workflows and production-grade pipelines, and facilitate code reviews, design discussions, and coding standard adherence within the team. Furthermore, you will support the deployment of services on cloud environments such as AWS/GCP, identify and address performance bottlenecks, optimize codebases, and ensure the maintainability of the tech stack. Emphasizing a growth mindset, you will mentor junior developers, foster learning, and encourage innovation within the team. In terms of skills and experience, the ideal candidate should possess a minimum of 4-6 years of software development experience with a solid foundation in Python. Prior experience in leading or mentoring small teams, a good understanding of AI/ML fundamentals, and experience in end-to-end product or platform development are essential. Strong problem-solving skills, knowledge of code quality practices, and architectural awareness are also key requirements. Additional skills that would be beneficial for this role include exposure to cloud platforms like AWS or GCP, familiarity with Docker, Kubernetes, and CI/CD pipelines, as well as knowledge of REST APIs, microservices, and data engineering workflows. Hands-on experience with ML Ops tools or productionizing ML models is also considered advantageous. In return, this role offers the opportunity to lead a technical team while remaining hands-on technically, work in a product-driven environment with AI/ML applications as its core focus, be part of a growing team in Udupi, and contribute meaningfully to technology away from the hustle of metropolitan areas. You can expect a learning-rich atmosphere with ownership, autonomy, and long-term career growth prospects.,

As an ML Engineer, you will play a crucial role in designing, developing, training, and deploying machine learning models. Your responsibilities will include ensuring that AI capabilities meet production-grade standards, are robust, and seamlessly integrated into the company's software stack. Your tasks will involve designing, building, and training machine learning models using state-of-the-art frameworks, translating AI product requirements into scalable model architectures, packaging models as APIs/microservices for seamless integration into products, setting up CI/CD pipelines for automated model training and release, as well as evaluating model performance and managing versioning. The ideal candidate for this role should have proficiency in languages such as Python and SQL, as well as hands-on experience of 3-6 years in applied machine learning and deploying models in production environments. Additionally, familiarity with frameworks like PyTorch, TensorFlow, and Hugging Face Transformers is essential. Desirable skills for this role include expertise in tools like MLflow, Docker, FastAPI, and GitHub Actions, along with experience in deployment platforms such as GCP Vertex AI and AWS SageMaker. Joining our team will provide you with the opportunity to collaborate with a diverse and experienced team, contribute to the growth stories of renowned brands, and benefit from a professional growth roadmap. You can expect real-time mentorship and guidance from industry leaders, a supportive work environment that invests in your career development, and various employee benefits such as competitive salary, flexible work-life balance, paid time off, learning & development bonuses, health coverage, rewards & recognitions, and ongoing training programs. If you are a passionate and talented individual looking to join a team of artists, geeks, strategizers, and writers, we encourage you to apply. Our workplace fosters a culture of inclusivity, creativity, and excellence, allowing you to be yourself and do exceptional work while enjoying onsite opportunities and recognition for open-source contributions.,

As a Data Science Analyst at Citi, you will play a vital role within the GWFO team by applying your specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. Your primary responsibilities will include identifying opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. You will be involved in the development and deployment of innovative AI solutions, including generative AI and agentic AI applications, while collaborating with cross-functional stakeholders. In this role, you will be expected to gather and process operational data from various cross-functional stakeholders, apply machine learning techniques to identify data patterns and trends, develop and implement machine learning models for predictive analytics, and design, build, and deploy Generative AI solutions to enhance customer experience. Additionally, you will experiment with agentic AI frameworks to create autonomous systems, evaluate the performance and impact of AI solutions, and translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies. To excel in this position, you should ideally possess 5+ years of relevant experience in data science, machine learning, or a related field, advanced process management skills, and a strong programming background in Python. You should also have experience with statistical modeling techniques, data visualization tools, and GenAI and agentic AI frameworks. A Bachelor's/University degree in a quantitative field is required, with a Master's degree being preferred. Working at Citi offers more than just a job; it provides an opportunity to join a global family of dedicated professionals. A career at Citi allows you to grow professionally, contribute to your community, and make a tangible impact. If you are passionate about data science, artificial intelligence, and making a difference in the financial services industry, this role at Citi may be the perfect fit for you.,

As an Individual Contributor in the Applied Research Team at Adobe, you will be at the forefront of applying cutting-edge technologies in practical and user-centric applications. Your primary focus will involve implementing and optimizing generative AI solutions for various applications in graphics and design. This includes developing sophisticated image processing techniques and enhancing human-computer interaction interfaces using machine learning algorithms. Your role will also entail extensive programming in languages like C++ and Python to create robust, production-level software. Utilizing machine learning frameworks such as TensorFlow and PyTorch, you will not only develop models but also convert and deploy them efficiently in production environments. Your contributions will play a crucial role in translating theoretical AI advancements into accessible, efficient, and impactful applications, continuously iterating and improving to meet evolving user needs and industry standards. To succeed in this role, you should possess a bachelor's or master's degree in computer science, computer engineering, graphic design, or a related field. A strong background in mathematics, particularly in areas relevant to graphics like linear algebra, geometry, and numerical methods, is essential. Proficiency in programming languages such as C++ and Python at a production level is required, along with experience in shipping products to production. Knowledge of machine learning and AI techniques, especially in graphics and design applications, is necessary. Familiarity with TensorFlow, PyTorch, model conversion, and deploying models to production is advantageous. While a publication record in peer-reviewed journals or conferences is preferable, it is not mandatory. Critical thinking, problem-solving skills, and the ability to optimize algorithms for performance, especially in real-time applications, are key attributes for success in this role. At Adobe, creativity, curiosity, and continuous learning are celebrated, offering ample opportunities for career growth. Make sure to update your resume/CV and Workday profile when pursuing internal opportunities within Adobe. Stay informed about job roles you are interested in by setting up job alerts and preparing for interviews. The Talent Team will reach out to you within 2 weeks of applying via Workday, and if you progress to the official interview stage, inform your manager to support your career growth. Joining Adobe means immersing yourself in an exceptional work environment recognized globally. You will collaborate with colleagues dedicated to mutual growth through ongoing feedback. If you aim to make a meaningful impact, Adobe is the ideal place for you. Explore employee career experiences on the Adobe Life blog and discover the comprehensive benefits we offer. Adobe is committed to making Adobe.com accessible to all users. If you require accommodations to navigate our website or complete the application process due to a disability or special need, please contact accommodations@adobe.com or call (408) 536-3015.,

AVEVA is creating software trusted by over 90% of leading industrial companies. Job Title: Senior Engineering Manager - AL/ML Platform Location: Bangalore, India Job Type: Regular, Full-Time Reports To: R&D Director/VP - AI Core Services Development We are looking for passionate and hands-on technical managers to join our Core AI Services team. In this role, you will help deliver the long-term vision, strategy and roadmap for the AI platform services, ensuring alignment with the overall company product strategy and business objectives with the help of your team. The overall aim to design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native. These services will act as foundational building blocks for AI adoption across AVEVA’s product portfolio and partner ecosystem. You will manage a Scrum team to build innovative, standards-compliant, secure and production-grade AI capabilities, with a builder mindset - rapid prototyping and continuous improvement with agility of a start-up. Key Responsibilities: Oversee the architectural design of scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability. Provide technical guidance and mentorship to the development and testing teams, acting as a trusted escalation point for complex technical challenges. Translate high-level business requirements from portfolio into clear actionable technical requirements and features for the AI platform. Manage the platform’s backlog and make decisions on release cycles and service enhancements. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Lead, mentor and grow a high-performing team of AI Platform developers and testers, fostering a culture of continuous learning, and contribute to a culture of innovation. Conduct performance reviews and support career development for team members. Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development. Identify and mitigate technical, operational, and security risks associated with the AI platform. Ensure compliance with relevant industry regulations, internal policies, and data governance standards, particularly concerning data privacy and AI ethics. AI & Cloud Expertise Experience working with Large Language Models (LLMs) and understanding of trade-offs between performance, cost, and capability. Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning) Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development. Fluent in developing code using AI Tools such as GitHub Copilot. Must be able to use prompt engineering to carry out multiple development tasks. Familiar with AI orchestration, including tools like AI Foundry and/or Semantic Kernel. Experience with tools for automated testing and evaluation of AI outputs is a plus. Experience in Python and AI frameworks / tools such as PyTorch and TensorFlow. Core Skills and Qualifications: 10+ years of experience in software engineering, including 3–5 years leading technical teams, and hands-on experience building cloud-native or AI platform services. Hands-on experience with Microsoft Azure and associated PaaS services (e.g., Azure Functions, AKS, API Management). Strong expertise in RESTful API design, versioning, testing, and lifecycle management. Proficient in securing APIs, managing authentication/authorization and data privacy practices. Experience leading technical teams, mentoring, performance management. Should be experienced in planning, scheduling, resource allocation, risk management, and stakeholder communication. Excellent verbal and written communication skills for interacting with developers, testers, product teams, and senior management. Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions. Experience working in Agile teams and collaborating across global R&D locations Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation Demonstrated experience with AI frameworks, tools and Python R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke – it’s the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us. Find out more: aveva.com/en/about/careers/r-and-d-careers/ Why Join AVEVA? At AVEVA, we are unlocking the power of industrial intelligence to create a more sustainable and efficient world. AVEVA Connect platform is at the heart of that transformation. As a leader in Core AI Services, you will help shape how AI is delivered at scale across industries. Join us in driving the next wave of industrial innovation. India Benefits include: Gratuity, Medical and accidental insurance, very attractive leave entitlement, emergency leave days, childcare support, maternity, paternity and adoption leaves, education assistance program, home office set up support (for hybrid roles), well-being support It’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out more: aveva.com/en/about/careers/benefits/ Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process. Find out more: aveva.com/en/about/careers/hiring-process About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/ Find out more: aveva.com/en/about/careers/ AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.

Imagine what you could do here. At Apple, we believe new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Do you want to impact the future of Manufacturing here at Apple through cutting edge ML techniques This position involves a wide variety of skills, innovation, and is a rare opportunity to be working on groundbreaking, new applications of machine-learning, research and implementation. Ultimately, your work would have a huge impact on billions of users across the globe. You can help inspire change, by using your skills to influence globally recognized products" supply chain. Apple's Manufacturing & Operations team is looking for an extraordinary Machine Learning Engineer with expertise in Computer Vision (CV) and Large Language Models (LLMs) to join our team. You will craft, design and implement our machine learning strategy to the massive iPhone, Mac, iPad supply chains and help build the future of our manufacturing systems. In this role, you will develop and deploy machine learning models to optimize processes, automate quality control, and improve operational efficiency. The role requires a candidate with practical experience fine-tuning LLMs and applying them in combination with CV techniques to tackle challenges in manufacturing environments. As a key member of our team, you'll collaborate with different engineering and operations teams leading development of ML solutions for a variety of vision and language-based tasks and projects. You will be responsible for delivering ML technologies aligned with the fast pace new technology and short product lifecycle, while ensuring the highest standards of product quality and reliability. In this role, you'll be embedded inside a vibrant team of machine learning engineers and data scientists. You'll be expected to help conceive, code, and deploy machine learning models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metric. You will have the opportunity to work both independently and collaboratively to help partner teams meet predefined objectives. If you are passionate to influence the quality, speed and efficiency of our ML algorithms, come and help enable our vision to create the most refined products in the world. Join our team as a key contributor, leading the development of machine learning solutions for diverse tasks and projects. Collaborate with engineering and operations teams to deliver cutting-edge ML technologies, ensuring top-tier product quality and reliability in a fast-paced environment. Develop and deploy scalable Computer Vision and Machine Learning algorithms on local and cloud-based inferencing platforms. Perform rapid prototyping to design algorithms for challenging real-world manufacturing problems in the domain of Intelligent Visual Inspection. Leverage Large Language Models to automate document analysis, knowledge extraction, and process optimization within manufacturing workflow. Fine-tune LLMs for domain-specific applications such as improving operational documentation, production reports, and automating technical analysis. Work with resources in cross-functional teams and the factory to integrate ML applications. Abilities to independently learn new technologies; prioritize tasks and take ownership; and meaningfully present results of analyses in a clear and impactful manner. Minimum Qualifications - Experience developing deep learning models such as CNNs, Vision Transformers, or YOLO for image-based tasks in production systems. - Proven research and practical experience in developing algorithms for image processing, content-based video/image analysis, object detection, segmentation, and tracking. - Proven experience in fine-tuning LLMs for domain-specific use cases such as document analysis and operational efficiency. - Master's in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science, or related fields. - iOS CoreImage/CoreML and native App development experience is a big plus. - Experience deploying ML models in cloud environments (AWS, GCP, or Azure) for scalable production use. Preferred Qualifications - Strong grasp of deep learning principles in both Computer Vision and Natural Language Processing (NLP). - Familiarity with LLM architectures like BERT, GPT, and experience fine-tuning these models for improved performance in manufacturing settings. - Knowledge of machine learning and Deep Learning libraries such as PyTorch, OpenCV, Hugging Face, is essential. - Proven ability to implement, improve, debug, and maintain machine learning models. - Familiar with version control systems such as Git. - Strong optimization and debugging skills. - Self-motivated, responsible, excellent written and verbal interpersonal skills. - Experience with handling and visualizing very large data sets and creating performance reports. Submit CV,

As an experienced AI/ML professional, you will be responsible for building and deploying models for various computer vision (CV) tasks such as object detection, OCR, image classification, and face recognition. Your role will involve developing real-time CV pipelines using technologies like YOLOv5/v8, Faster R-CNN, and DeepSORT. You will also work on integrating Generative AI and Large Language Models (LLMs) into CV workflows and end-user applications. Optimizing models for edge devices such as Jetson Nano/Xavier, Coral, and OpenVINO will be a crucial part of your responsibilities. Additionally, you will work with annotated image/video datasets, applying augmentation and pre/post-processing techniques. You will also have the opportunity to lead cross-functional AI initiatives and provide guidance on team-level technical decisions. To excel in this role, you should possess at least 4 years of experience in AI/ML with practical deployments. Proficiency in Python, PyTorch/TensorFlow, and OpenCV is essential. Hands-on experience with OCR tools like Tesseract, PaddleOCR, and EasyOCR is a must. A solid understanding of image processing techniques such as contouring, segmentation, and thresholding is required. Experience in deploying models on edge devices like NVIDIA Jetson and TensorRT is highly beneficial. Exposure to LLMs and building end-to-end AI pipelines will also be advantageous. In addition to the must-have requirements, the following nice-to-have skills would further strengthen your candidacy: - Experience with AWS Textract, Azure OCR, or Google Vision API - Building tools for Named Entity Recognition (NER), invoice parsing, or document classification - Familiarity with DeepStream, Streamlit dashboards, and MLflow/ONNX - Academic research or published work in AI/CV fields - Knowledge of CUDA, sensors, and camera hardware integration By joining our team, you will have the opportunity to work on cutting-edge AI + CV projects that have a real-world impact. We value innovation, ownership, and experimentation, and you will be part of a collaborative environment where your contributions are highly appreciated. You will also have the chance to lead Generative AI initiatives across various domains. This is a full-time position with benefits including health insurance, paid sick time, paid time off, and Provident Fund. The work location is in person, providing you with a conducive environment to collaborate with the team effectively.,

In this role, you will be responsible for designing, developing, and deploying AI models and end-to-end intelligent systems that address complex business challenges. You will work closely with global teams, leveraging MLOps practices to streamline deployment workflows, ensure model accuracy, and maintain operational excellence. You will also collaborate with stakeholders to bridge the gap between technical AI capabilities and business impact, delivering solutions that are both innovative and practical. Key Responsibilities AI/ML Model Development : Build, train, and fine-tune machine learning and deep learning models using Python for diverse use cases. End-to-End AI Lifecycle : Manage the complete AI development lifecycle from data acquisition, preprocessing, and feature engineering to deployment and monitoring. MLOps Implementation : Design and implement CI/CD pipelines for ML models using tools such as MLflow, Kubeflow, AWS SageMaker, or GCP Vertex AI. Cloud-Based AI Solutions : Architect and deploy AI workloads on cloud AI platforms (AWS, GCP, Azure) ensuring performance, scalability, and security. Containerized Deployments : Leverage Docker, Kubernetes, and OpenShift to package and scale AI solutions efficiently. Natural Language Processing (NLP) : Apply NLP techniques for text classification, sentiment analysis, chatbots, and other language-based applications using libraries such as spaCy, NLTK, Hugging Face Transformers, or OpenAI APIs. Performance Optimization : Continuously improve AI models and systems to enhance speed, accuracy, and cost-effectiveness. Stakeholder Communication : Present complex AI concepts to non-technical audiences in a clear, concise, and impactful manner. Best Practices : Follow industry standards for code quality, reproducibility, and security compliance in AI development. Preferred Qualifications Strong proficiency in Python and popular AI/ML libraries (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). Demonstrated expertise in cloud-based AI platforms such as AWS AI/ML, GCP AI, or Azure Cognitive Services. Deep understanding of MLOps frameworks and best practices for deployment, scaling, and monitoring. Hands-on experience with container orchestration (Docker, Kubernetes, OpenShift). Proven track record in NLP model design and integration into real-world applications. Solid understanding of distributed computing for AI workloads. Exceptional problem-solving skills with a focus on delivering business impact. Strong verbal and written communication skills for effective cross-functional collaboration. (ref:hirist.tech)

Artificial Intelligence has the potential to be one of humanity's most beneficial innovations. At Google DeepMind, we are a dedicated team of scientists, engineers, machine learning experts, and more who collaborate to advance the field of artificial intelligence. Our primary focus is on leveraging our technologies for the greater public good and scientific exploration, while also working with others to tackle critical challenges with a strong emphasis on safety and ethics. The AnthroKrishi team at Google DeepMind is committed to establishing a digital understanding of global agriculture to ensure a sustainable and food-secure future. We specialize in developing and implementing AI models that operate on a global scale, utilizing satellite data to generate actionable insights. Our efforts directly benefit farmers, policymakers, and humanitarian organizations worldwide, addressing fundamental AI challenges to meet one of society's most crucial needs. Join us in utilizing AI to positively impact humanity. As a Research Scientist on the AnthroKrishi team, you will be at the forefront of developing cutting-edge AI solutions to combat global issues related to food security and climate change. Your role will involve spearheading research that pushes the boundaries of computer vision and machine learning, with a direct focus on influencing global agricultural systems. Your primary responsibilities will include: - Pioneering innovative computer vision models to establish a comprehensive understanding of agriculture using diverse satellite data sources. - Tackling core AI issues by creating adaptable models that can effectively analyze various agricultural systems, ranging from smallholder farms to large industrial fields. - Leading research efforts towards the significant challenge of field-level crop yield forecasting, which requires advancements in spatio-temporal reasoning and efficient learning from limited or sparse data. - Designing and conducting large-scale experiments, developing high-quality, reusable code (preferably in JAX), and contributing to the development of a production-ready system. - Mentoring junior researchers, collaborating with interdisciplinary teams within Google, and presenting your work at esteemed conferences. Ideal candidates for this role possess a strong research background in AI, a willingness to adapt to change, and the ability to thrive in uncertain environments. You should have a collaborative mindset and be enthusiastic about working collaboratively to tackle ambitious research problems. Your passion for translating research into practical solutions that enhance user experiences should be evident, along with your eagerness to contribute to real-world applications and create positive changes through AI. Minimum Qualifications: - PhD or equivalent research experience in Computer Science, AI, or a related field with a focus on computer vision and/or machine learning. - Demonstrated track record of publications in top-tier AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR). - Hands-on experience in building and training deep learning models using frameworks like JAX, TensorFlow, or PyTorch. Additionally, the following qualifications would be advantageous: - Expertise in generative models, segmentation algorithms, multi-modal fusion, or spatio-temporal analysis. - Experience with or a strong interest in remote sensing or geospatial data. - A commitment to applying AI to address societal challenges such as climate change and food security. - Experience in mentoring students or junior researchers.,

Join the leader in entertainment innovation and help design the future with Dolby. At Dolby, science merges with art, and high tech transcends mere computer code. As a valued member of the Dolby team, witness and hear the impact of your contributions everywhere, from movie theaters to smartphones. Dolby continues to redefine how individuals create, deliver, and relish entertainment on a global scale. To achieve this, Dolby seeks the most exceptional talent. Dolby is large enough to provide all the necessary resources while maintaining a size that allows you to truly make a difference and receive recognition for your efforts. Embrace a collegial culture, engaging projects, and competitive compensation and benefits, in addition to a Flex Work approach that genuinely accommodates where, when, and how you perform optimally. At Dolby, the landscape of how the world perceives sight and sound is evolving. Dolby empowers individuals to immerse themselves in music, movies, videos, and images in all their intended grandeur, enriching both life and work experiences. Dolby offers technology to content creators, owners, distributors, TV, mobile, and PC manufacturers, as well as social and media platforms, enabling them to genuinely captivate their audiences. Dolby is at the forefront of delivering exceptional sound and visual experiences in movie theaters, living rooms, mobile devices, and the internet. Advanced Technology Group The Advanced Technology Group (ATG) serves as the research and technology division of Dolby Labs. ATG encompasses various competencies that drive innovation in audio, video, AR/VR, gaming, music, and movies. Proficiencies related to computer science and electrical engineering, including AI/ML, computer vision, image processing, algorithms, digital signal processing, audio engineering, data science & analytics, distributed systems, cloud, edge & mobile computing, natural language processing, knowledge engineering and management, social network analysis, computer graphics, image & signal compression, computer networking, and IoT, are highly relevant to ATG research endeavors. What you'll do Dolby is seeking talented Applied Researchers eager to push the boundaries of technology relevant to Dolby and society at large. Research within Dolby Laboratories focuses on data platforms, distributed processing systems, and data science, with a focus on large-scale cloud and edge data platforms and services, and innovative approaches to accelerating insights from data. Areas of interest span large-scale distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogeneous data analytics. Specifically, Dolby is in search of Applied Researchers who are enthusiastic about merging science with art to translate research into AI-enabled, low latency real-time streaming systems and applications, facilitating the next wave of immersive experiences. Key Responsibilities: - Develop platforms and tools enabling a wide array of interactive and immersive data-driven experiences informed by AI-based, acoustic, and other techniques to deduce context from both content and the surrounding environment. - Implement scalable, reliable, and efficient AI/ML training and inference algorithms in distributed computing environments. - Collaborate with ATG researchers to identify data and advanced distributed system-related opportunities in related research domains, such as applied AI and machine learning in Audio/Video realms. What you need to succeed Competencies: - Technical depth: Proficient in implementing scalable AI/ML libraries, toolkits, and platforms for real-time, just-in-time processing of audio/video algorithms across cloud and edge devices. Basic knowledge of Audio/Video streaming formats required. - Explore new technologies: Willingness to explore and innovate in new areas. - Invent & Innovate: Develop technologies, algorithms, and tools to enhance Dolby's leadership in enhancing sight and sound in digital content consumption. Collaborate with business partners to implement these technologies effectively. - Work with a sense of Urgency: Proactive in responding to evolving trends and technologies, creating new algorithms to stay ahead of the competition and market. - Collaborate: Work with peers to develop industry-leading technologies. Engage with external entities in academia and industry to drive technological advancements. Background: - PhD in Computer Science or related field (or exceptional Master's candidates with 4+ years) with proven R&D experience in building applied AI/ML platforms, frameworks, or libraries for the cloud. - Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, and ML libraries like scikit-learn, Spark MLLib. - Proficient in large-scale distributed systems such as Hadoop, Spark, etc. - Strong analytical skills and understanding of mathematical and computing theory behind leading AI architectures and models. - Experience with AWS, GCP, or other public clouds. - Familiarity with DevOps, CI/CD (e.g., Github Actions), bash, UNIX/Linux commands, etc. - Proficiency in Python, C++, or related languages. - Strong problem-solving and partnership skills. - Excellent communication and presentation abilities. - Strong publication record in leading IEEE, ACM conferences, and journals such as KDD, ICDE, ICDM, CIKM, BigData.,

Company Description Founded in 2018, Giggso is a No-Code ModelOps Observability platform for Data Science, Engineering teams, and Business execs. Our platform helps AI ML teams with incident management, automation, remediation, and self-healing while ensuring audit and security compliance. Giggso is web 3.0 and blockchain-enabled, consolidating information from data quality to bias and drifts to support Model Risk MExperience in productizing and deploying Machine Learning solutions. Thorough understanding of the full ML pipeline, from data collection to inference. Strong expertise in model monitoring, detecting variations, and managing retraining/redeployment processes. Proficiency in Python and experience with ML frameworks/libraries such as TensorFlow, Keras, PyTorch, spaCy, fastText, and Scikit-learn. Hands-on experience in Natural Language Processing (NLP), including text classification, entity extraction, and content summarization. Must be located in commutable distance to Chennai, Tamil Nadu, India Preferred Qualification Master's Degree. Knowledge or experience in MLOps and ModelOps practices. Strong problem-solving skills with the ability to analyze, optimize, and scale models. Excellent verbal and written communication skills to collaborate effectively across teams and influence strategic decisions Key Responsibilities Develop, deploy, and maintain scalable Machine Learning models across the full ML lifecycle. Monitor model performance in production, detect drift and variations, and automate retraining/redeployment workflows. Collaborate with cross-functional teams including Data Science, Engineering, and Business stakeholders to deliver impactful AI/ML solutions. Implement and improve NLP solutions such as text classification, entity extraction, and content summarization. Write clean, maintainable Python code leveraging popular ML frameworks such as TensorFlow, Keras, PyTorch, spaCy, fastText, and Scikit-learn. (ref:hirist.tech)

Selected Intern's Day-to-day Responsibilities Include Write efficient Python code and demonstrate knowledge of libraries like NumPy, Pandas, and Matplotlib. Develop a basic understanding of AI/ML concepts (supervised/unsupervised learning, neural networks, etc.). Demonstrate familiarity with Python and AI/ML frameworks (e.g., Flask, Django or Fast API, TensorFlow, PyTorch, Keras). Utilise their familiarity with machine learning, deep learning, and AI concepts to develop real-world applications. Develop and maintain web applications using Django and/or Flask. About Company: We are a Navi Mumbai-based company developing digital solutions for the real estate sector in India and the Gulf. Our office is located in Navi Mumbai. Bizlem revolutionizes business processes using a deep-learning-powered digital workforce. We are at the forefront of artificial intelligence (AI) and natural language processing (NLP), pioneering the development of innovative products to tackle unsolved business challenges using core AI and NLP technologies.

We are searching for a Python Web Developer to act as a bridge between front-end development and machine learning infrastructure. Your main responsibility will involve constructing dynamic web interfaces, integrating with real-time ML APIs, and aiding in the delivery of data-driven experiences to end users. As a Python Web Developer with 1-3 years of experience, your key responsibilities will include designing, building, and maintaining scalable web applications that interact with machine learning models. You will be tasked with developing REST APIs and services using FastAPI for seamless integration with real-time ML models. Additionally, you will handle the consumption and serving of predictions from models using Python, while integrating them with front-end components. You will also be involved in working on real-time data pipelines and backend services, collaborating with data teams to establish infrastructure for training, deployment, and monitoring of ML models. Managing large-scale data flows utilizing Airflow, Redis, and PostgreSQL will be part of your routine tasks. Furthermore, you will be responsible for deploying containerized applications using Docker and overseeing them on AWS. Your role will also entail integrating models developed with PyTorch, TensorFlow, and Hugging Face, as well as participating in LLM fine-tuning, embeddings-based search, RAG pipelines, and multi-modal model integrations. You will track and manage experiments using MLflow and develop and support systems using Ray for scalable and distributed processing. Collaboration on projects using LangChain for chaining LLM operations will also be expected. This is a full-time position based in Indore, Madhya Pradesh, and requires in-person work. Required Experience: - Python: 1 year Location: - Indore, Madhya Pradesh,

As NVIDIA expands its presence in the Datacenter industry, the team is actively involved in maximizing the potential of the rapidly growing datacenter deployments and implementing a data-centric approach to hardware design and system software development. The role of a Deep Learning Systems Engineer is crucial in evaluating the performance and power usage of deep learning applications on datacenter-grade hardware to influence the design and optimization of datacenters. Are you eager to shape the evolution of high-performance Datacenters crafted for the future of AI Do you possess a keen interest in system architecture and performance In this position, you will delve into the interconnectedness of CPU, GPU, networking, and IO in deep learning architectures for various technologies like Natural Language Processing, Computer Vision, and Autonomous Driving. Join our dynamic team and leverage your expertise to enhance our upcoming systems and Deep Learning Software Stack. Responsibilities: - Collaborate in the development of software infrastructure for the evaluation and analysis of diverse Deep Learning applications. - Innovate cost-effective datacenter architectures customized to support the requirements of Large Language Models (LLMs). - Partner with specialists to create analysis and profiling tools using Python, bash, and C++ to assess essential performance metrics of DL workloads on Nvidia systems. - Assess the system and software characteristics of DL applications. - Design analysis tools and methodologies to measure critical performance metrics and identify opportunities for efficiency enhancements. Requirements: - Bachelor's degree in Electrical Engineering or Computer Science with 8+ years of relevant experience (Master's or PhD degree preferred). - Proficiency in System Software such as Operating Systems (Linux), Compilers, GPU kernels (CUDA), and DL Frameworks (PyTorch, TensorFlow). - Knowledge of Silicon Architecture and Performance Modeling/Analysis, including CPU, GPU, Memory, or Network Architecture. - Skilled in programming with C/C++ and Python. Familiarity with Containerization Platforms (docker) and Datacenter Workload Managers (slurm) is advantageous. - Thorough understanding of computer system architecture and performance analysis. Hands-on experience in these areas is a must. - Ability to work effectively in virtual environments and a proactive approach to project ownership. Previous experience in similar environments is a plus. Differentiators: - Background in system software, Operating system internals, GPU kernels (CUDA), or DL Frameworks (PyTorch, TensorFlow). - Experience with silicon performance monitoring or profiling tools (e.g., perf, gprof, nvidia-smi, dcgm). - Proficient in performance modeling in CPU, GPU, Memory, or Network Architecture. - Exposure to Containerization Platforms (docker) and Datacenter Workload Managers (slurm). - Past involvement in multi-site or multi-functional team settings. NVIDIA is renowned for being one of the most sought-after employers in the technology industry. We have a team of innovative and dedicated individuals driving our success. If you are a creative and self-driven professional, we are excited to learn more about you!,

Job descriptionStepupmark Marketing Innovations Pvt Ltd is seeking a passionate and experienced Senior Python Full Stack Developer with 3+ years of hands-on experience. This role focuses on developing and maintaining scalable, high-performance web applications as part of a collaborative development team. Key Responsibilities: Design and develop full stack web applications using Python (Django/Flask) and modern frontend frameworks. Build and maintain RESTful APIs, integrate third-party services, and manage relational databases. Create responsive UI components using HTML, CSS, JavaScript, and React (or similar). Develop and deploy AI-driven features (e.g., recommendation engines, chatbots, NLP modules) using libraries such as TensorFlow, PyTorch, OpenAI API, etc. Collaborate with the product team to design intelligent, data-driven user experiences. Optimize application performance and ensure scalability and security. Stay up to date with the latest AI trends and technologies and suggest innovative solutions. Required Skills: Strong proficiency in Python with Django or Flask. Frontend expertise: HTML5, CSS3, JavaScript, React (or similar frameworks). Experience with MySQL/PostgreSQL, Git, and basic cloud deployment (AWS, GCP, etc.). Solid understanding of REST APIs and full stack architecture. Practical experience with AI/ML libraries like TensorFlow, PyTorch, scikit-learn, or OpenAI's API. Experience working with NLP, image processing, or data modeling is a plus. Strong analytical and problem-solving skills. Ability to manage multiple projects and meet deadlines effectively. Qualifications: Bachelor’s degree in Computer Science, AI, Data Science, or related field. Minimum 3 years of experience in full stack web development. Experience with AI implementation in production environments is a strong plus. Perks & Benefits: Competitive salary package (₹3.5 – ₹5 LPA) based on skills and experience Performance-based incentives Opportunity for career advancement and skill enhancement Supportive and collaborative work environment Job Type: Full-time Location Type: In-person Schedule: Day shift Work Location: In person

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself and a better working world for all. We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space, including Azure, AI, ML, Deep Learning, NLP, GenAI, large Lang Models (LLM), RAG, Vector DB, Graph DB, Python. Responsibilities: - Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. - Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. - Ensure seamless integration of optimized solutions into the overall product or system. - Collaborate with cross-functional teams to understand requirements, integrate solutions into cloud environments (Azure, GCP, AWS, etc.), and ensure alignment with business goals and user needs. - Educate the team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project. Technical Skills Requirements: - 9 to 13 years of relevant professional experience. - Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. - Strong foundation in ML algorithms, feature engineering, and model evaluation (Must). - Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP (Must). - Experience in GenAI technologies, LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. - Knowledge of retrieval augmented generation (RAG) and Knowledge Graph RAG. - Experience with multi-agent orchestration, memory, and tool integrations. - Experience/implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning, and reproducibility) - Good to have. - Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. - Good understanding of data pipelines, APIs, and distributed systems. - Build observability into AI systems - latency, drift, performance metrics. - Strong written and verbal communication, presentation, client service, and technical writing skills in English for both technical and business audiences. - Strong analytical, problem-solving, and critical thinking skills. - Ability to work under tight timelines for multiple project deliveries. What We Offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. While we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY, you can be who you are and express your point of view, energy, and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world: EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,