5485 Deep Learning Jobs - Page 38

Deliver advanced training sessions in data science, covering topics such as Python programming, machine learning, deep learning, Tableau, data analysis, data visualization, NLP, and big data. Tailor training programs to meet the specific needs of technical professionals and individuals changing careers into data science. Guide participants through hands-on projects to reinforce learning and practical application of data science techniques. Assist students in conceptualizing, planning, and executing academic projects that demonstrate their proficiency in data science. This is a full-time position with a day shift schedule. The work location is in person. Application Question: Are you an immediate joiner ,

As a multi-disciplinary AI & Agentic Systems Engineer at Memorae, you will play a crucial role in our core product team, working at the crossroads of deep learning, agentic reasoning, and platform architecture. Your responsibilities will include architecting and deploying deep learning systems to create intelligent, context-aware experiences. You will be tasked with building multi-system AI pipelines that integrate tools, APIs, and memory-based reasoning. Additionally, you will design agentic flows that automate tasks, delegate responsibilities, and enable real-time decision-making. Writing and refining modular prompts for various LLMs tailored to specific tasks and use cases will also be a key part of your role. Furthermore, you will re-architect platform components to ensure scalability, maintainability, and accommodate evolving AI features. Collaboration with cross-functional teams to align AI behaviors with product goals and UX principles is an essential aspect of this position. We value candidates with proven experience in LLMs, foundation models, and prompt optimization techniques. A strong foundation in deep learning, particularly in PyTorch or TensorFlow, is required. Experience in microservices architecture and container-based environments such as Docker and Kubernetes is also essential. The ability to design, scale, and maintain multi-system infrastructures is highly valued. Familiarity with memory-augmented systems, RAG techniques, and dynamic orchestration is a plus. A product mindset focused on creating useful, reliable, and human-centered AI experiences is crucial. Proficiency in Node.js and backend development in JavaScript or TypeScript is an added advantage. At Memorae, you will be part of a fast-moving environment where you will have real ownership and visibility. We offer a competitive salary and equity options tailored to your experience and potential. This role provides you with the opportunity to contribute to shaping the future of AI-driven productivity. Location: New Delhi Start Date: Immediate Salary: Competitive, based on experience,

You are an experienced Technology Lead responsible for leading Artificial Intelligence (AI) initiatives within the organization. Your role involves defining and driving the AI strategy to align with business goals, staying updated on emerging AI technologies, building and managing a high-performing AI team, and ensuring effective stakeholder management and client engagement. Your primary responsibilities include: - Developing and executing the AI strategy, roadmap, and capabilities in line with business objectives. - Keeping abreast of the latest AI technologies and trends to drive innovation. - Leading a team of Data Scientists, Data Engineers, and ML engineers to deliver high-quality AI solutions. - Demonstrating expertise in ML Ops tools, cloud services, and architectures, particularly in MS Azure. - Proficiency in Machine Learning, Deep Learning, Data Science, MLOps, or Generative AI, with a focus on programming ML algorithms and data pipelines using Python. - Strong scripting skills and experience in designing data pipelines to support AI initiatives. - Communicating effectively and collaborating with internal stakeholders, engineering leads, and clients to ensure AI goals are aligned with business objectives. - Acting as the primary contact for clients, building and maintaining executive-level relationships, and delivering AI solutions that address client challenges and provide measurable value. - Leading solution design, proposal development, and project delivery oversight for AI projects. To qualify for this role, you should have: - A degree in Computer Science, Data Science, Artificial Intelligence, or a related field. - Over 10 years of experience in AI/ML with a strong blend of technical expertise and business acumen. - A proven track record in managing AI practices or large-scale AI projects across various industries. - Exceptional skills in stakeholder management, client relationship building, communication, and interpersonal interaction. This is a full-time, permanent position with a day shift schedule from Monday to Friday. The work location is in person.,

The Adobe Express team is on a mission to create a revolutionary, all-in-one creative application that transcends platforms - be it web, desktop, or mobile. By blending Adobes cutting-edge creative technologies with intuitive, AI-driven workflows, we aim to empower individuals to craft exceptional content swiftly and effortlessly. As a Senior Machine Learning Engineer (Architect) within our team, you will be pivotal in shaping the future of AI-enhanced creative experiences in Adobe Express. Your primary focus will involve constructing impactful AI Workflows for image editing within Adobe Express. This will encompass pioneering generative AI workflows, such as personalized assistants and intelligent creative tools, to accelerate the integration of AI technologies, foster knowledge sharing, drive experimentation, and enhance developer efficiency. To excel in this role, you should possess over 15 years of hands-on experience in the realm of Machine Learning. As a key member of the team, your responsibilities will include: - Building and optimizing advanced ML models to streamline image editing processes - Crafting AI Agents tailored for Adobe Express within the realm of Imaging - Collaborating closely with product, design, and engineering teams to seamlessly integrate Adobes latest generative AI capabilities into user-facing features - Cultivating a culture of AI innovation and knowledge-sharing to elevate team productivity Moreover, your detailed responsibilities will entail: - Researching, designing, and implementing advanced ML models and scalable pipelines utilizing computer vision, NLP, deep learning, and generative AI techniques - Integrating Large Language Models (LLMs) and agent-based frameworks to support multimodal creative workflows - Designing and optimizing subagent architectures for intelligent assistance across various creative tasks in Adobe Express - Collaborating with cross-functional teams to translate product requirements into ML solutions, particularly related to Harmony GenAI, smart recommendations, and generative tooling - Contributing to the development of internal platforms for model experimentation, A/B testing, and continuous improvement - Staying abreast of evolving ML/GenAI research, tools, and frameworks to promote innovation at both technical and organizational levels To excel in this role, you should have proficiency in Python for model development, C++ for systems integration, hands-on experience with TensorFlow, PyTorch, and emerging GenAI toolkits, familiarity with LLMs, agent architectures, and user interfaces powered by AI technology, as well as a deep understanding of computer vision and NLP techniques, especially in the context of multimodal AI applications. At Adobe, we celebrate creativity, curiosity, and continuous learning as key aspects of your career growth journey. We encourage you to update your Resume/CV and Workday profile, explore internal mobility opportunities, and prepare diligently for interviews to maximize your potential. If you are seeking a workplace that fosters innovation, collaboration, and personal growth, Adobe offers an exceptional environment where your contributions can make a meaningful impact. Adobe is committed to creating an inclusive and accessible workplace. If you require accommodations due to a disability or special needs during the application process, please reach out to accommodations@adobe.com or call (408) 536-3015.,

As a Lab Instructor, you will be an Engineering graduate responsible for working at the school level in a well-equipped STEAM Education lab, focusing on areas such as Mechatronics, Artificial Intelligence, and Robotics. Your role will involve delivering STEAM instructions and project-based learning activities to students, interacting with them to develop ideas, and engaging them in activities related to STEAM themes. You will be tasked with implementing daily activities and projects centered around Science, Technology, Engineering, (Art), and Math, while fostering unique ideas and innovation-based projects. Your responsibilities will include guiding students in innovation programs, as well as developing models and innovative ideas for STEAM activities, Mechatronics, AI, and Robotics. The ideal candidate for this position will hold a B.Tech degree in Electronics and Mechanical, with a preference for candidates with relevant qualifications. This position offers 10 vacancies with a compensation of 3.5 LPA and is based in locations such as Jaipur and Sikar. The job type is full-time and permanent, requiring in-person work. The expected start date for this role is 20/03/2025. If you are excited about the potential fit between your skills and this role, we encourage you to complete the short form at https://forms.gle/8BDvkbb89qfrCWHT8 to move forward with your application. For more information, please visit https://ikit.in/steam-instructorjob-vacancy/.,

Quidich Innovation Labs is a global company headquartered in Mumbai, India that pioneers in customized technology solutions for Sports Broadcast. From the outset, we have believed in the power of the story that sport tells as a tool to bring people together; and that this story best reaches fans, through the way it is broadcast. Building on this thinking, we have created various technology tools over the past five years and deployed them at tournaments such as the Indian Premier League, ICC Mens T20 World Cup, ICC Womens World Cup, and Men's FIH Hockey World Cup, to name a few. As a DL Intern at Quidich, you will embark on an exciting journey in the world of sports technology and play a vital role in assisting the technology team to work on global projects. You will be a member of our Product Team and solve real-world problems through a process of prototyping, implementation, measurement, and iteration. You will be assisting in researching the latest developments in computer vision/deep-learning/machine learning, and understanding what works best for our users. You will also be assisting in developing models, techniques, and tools and integrating new capabilities into Quidichs AI platforms. Responsibilities - Working with the research team to develop, evaluate, and optimize various state-of-the-art algorithms. - Helping in developing new frameworks/features, and improving performance and stability for the full product development life cycle. - Designing, building, and maintaining high-performance, reusable, scalable, and reliable code. - Carrying out the necessary documentation, reviews, evaluation metrics, bug reports, and quality tests for the product and the developed components/features. - Demonstrating best presentation skills for showcasing results, team spirit, and effective communication. - Learning and constantly updating yourself on the emerging trends of technology and applying them in projects for better results. Qualifications, Skills, and Competencies - Pursuing a degree in Computer Science or related field. - Strong understanding of Computer Vision, Deep Learning, and related technologies. - Knowledge of NN frameworks such as TensorFlow, Keras, Caffe, or Torch. - Solid grasp in C++, oop concepts, data structures and algorithms. - Experience with Github, Docker or AWS is a plus. Location: Mumbai Reporting To: Product Lead Joining Date: Immediate Interested candidates, please send your CV to careers@quidich.com,

At Optimum Info, we are dedicated to innovation and the development of cutting-edge software solutions that empower businesses in the Network Development and Field Operations sectors of Automotive, Power Sports, and Equipment industries. Our suite of integrated solutions offers a seamless and enriching experience to our customers, enabling them to enhance their efficiency and make a significant impact on their organizations. Our company places a strong emphasis on exceptional customer service and employee empowerment, which are fundamental to our growth and success. As a rapidly growing organization, we provide exceptional opportunities for learning and advancement, including the chance to oversee high-impact business operations. As an AI Engineer at Optimum Info, your role will involve understanding the challenges faced by users of our solutions and developing machine learning and deep learning models to address these challenges. Additionally, you will be responsible for creating the necessary interfaces to seamlessly integrate these models with various business applications. To excel in this role, you will need to gain a comprehensive understanding of the business, datasets, and processes involved. Collaboration with other technical teams will also be essential for the successful deployment of the developed solutions. Key Responsibilities: - Analyze given problem statements and relevant data sets - Design and build solution models, conduct Proof of Concepts (POCs) - Evaluate model performance data and compare against benchmarks - Present data visualizations and recommendations to senior management - Develop integrations with business applications - Collaborate with cross-functional teams for product integration, validation, and deployment - Define deployment architectures and estimate infrastructure requirements for cloud deployments - Prepare technical documentation for delivered work products - Stay updated on industry developments and propose strategies for leveraging new technologies to enhance Optimum's products Qualifications and Experience: - Bachelor's or Master's degree in engineering with a minimum of 3 years of experience - Proficiency in Python, API development, and consumption - Strong knowledge of algorithms, mathematical foundations, and model evaluation techniques - Familiarity with machine learning and deep learning libraries for Python - Experience with data extraction and persistence using RDBMS and NoSQL databases - Knowledge of cloud infrastructure and deployment best practices - Exposure to Agile/SCRUM methodologies and configuration management tools - Excellent verbal and written communication skills in English - Demonstrated track record of developing, evaluating, and integrating models for production deployment - Relevant certifications in machine learning and deep learning from recognized institutions are advantageous Join Optimum Info and be part of a dynamic team that is shaping the future of software solutions in the automotive, power sports, and equipment industries. Your contributions will play a vital role in driving innovation and delivering value to our customers.,

The Friedrich Miescher Institute for Biomedical Research (FMI), located in Switzerland, affiliated with the University of Basel, is looking for a dedicated postdoctoral researcher to join the team led by Dr. Guillaume Diss. The focus of the research is on advancing generative models for protein-protein interactions, specifically exploring how protein sequence influences interaction affinity and specificity through the utilization of deep mutational scanning data and cutting-edge artificial intelligence techniques. As a prospective candidate, you should hold a PhD in Biology, Physics, Computational Sciences, or a related discipline. You are expected to have a solid background in deep learning, with expertise in biophysics and thermodynamics. A track record of publications demonstrating your research capabilities is essential. Proficiency in English communication and a collaborative spirit are highly valued traits for this position. Your main responsibilities will involve spearheading independent research projects related to modeling protein-protein interactions. You will collaborate with both internal and external AI and computational biology experts, analyze extensive datasets, and create deep-learning models inspired by thermodynamics. Moreover, your contributions to scientific publications in reputable journals will be pivotal in this role. In return, we offer a competitive salary package and benefits, along with access to cutting-edge research facilities. The position provides ample opportunities for your professional development and training within a dynamic, diverse, and inclusive research environment. To apply for this position, please submit your application online at www.fmi.ch/opening. Include a motivational letter, your Curriculum Vitae, and the contact details of three referees. Applications will be assessed continuously until the position is filled. For additional inquiries, feel free to reach out to Dr. Guillaume Diss at guillaume.diss@fmi.ch. Don't miss out on the latest job openings in your field and desired location. Sign up now for a 14-day free trial at https://phdfinder.com/register to receive personalized job alerts straight to your email inbox.,

You will have the opportunity to develop ML models, platforms, and services for Adobe Express as a Machine Learning Engineer. The AI Foundation Team at Adobe Express is focused on developing a groundbreaking AI stack using both internal and external technologies to enhance feature speed and quality. Your role will involve creating ML models and services, collaborating with teams, and enhancing the user experience at Adobe Express. Your responsibilities will include researching, designing, and implementing advanced ML models and pipelines for training and inference at scale. This will involve utilizing techniques in computer vision, NLP, deep learning, and generative AI. You will be integrating Large Language Models and agent-based frameworks to support multimodal creative workflows, enabling context-aware content generation and dynamic user experiences. Collaboration with cross-functional teams to translate product requirements into ML solutions will be essential. You will iterate from proof-of-concept to fully productionized services. Developing robust platforms for continuous model training, experimentation, A/B testing, and monitoring will also be part of your role to ensure consistent high quality and relevance of models. Utilizing distributed computing technologies and cloud infrastructures will be necessary to handle large-scale data processing, feature engineering, and real-time inference. You will optimize for performance and cost-efficiency in this process. Implementing reliable APIs and microservices to serve ML models to end users will play a crucial part in aligning with standard methodologies in security, compliance, scalability, and maintainability. Keeping up to date with emerging ML research, tools, and frameworks will be important. You will evaluate and integrate new technologies such as sophisticated LLMs, reinforcement learning-based agents, and innovative inference optimization techniques. Basic qualifications for this role include a PhD, Masters, Bachelor's, or equivalent experience in Computer Science, ML, Applied Mathematics, Data Science, or a related technical field. Proficiency in Python and Java for ML model development and systems integration is required. Hands-on experience with deep learning frameworks like TensorFlow and PyTorch is necessary. Experience with LLMs, agent frameworks, computer vision, NLP techniques, and RESTful web services will be beneficial. If you have a disability or special need that requires accommodation to navigate the website or complete the application process, please contact accommodations@adobe.com or call (408) 536-3015.,

Qualcomm India Private Limited is looking for a RF and Mixed-Signal Bench Characterization Engineer to join the BDC Post Silicon Engineering group. In this role, you will be responsible for developing test solutions for design verification of highly integrated Receivers/Transmitters/Transceivers, Power management, Analog and Mixed signal ASICs designed by QCT. Your duties will include implementing new test methodologies, device verification and characterization, designing and debugging test interface hardware, test automation, and data analysis. To qualify for this position, you should have a Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or a related field with at least 2 years of Hardware Engineering or related work experience. Alternatively, a Master's degree with 1 year of experience or a PhD in a related field is also acceptable. The BDC Post Silicon Engineering group is also seeking a Lab Test Automation Framework Developer. In this role, you will be responsible for developing robust and reliable automation frameworks and software solutions to interface with RF hardware and instruments, ensuring seamless integration and functionality. Ideal candidates for this position should possess solid software skills for writing and debugging test automation code, competency in automation development using at least one automation tool (C# / Python), and the ability to develop software solutions using OOPs principles. Additionally, familiarity with AI/ML algorithms and RF fundamentals, as well as the ability to work independently with initiative through challenges, are preferred. As an equal opportunity employer, Qualcomm is committed to providing an accessible process for individuals with disabilities during the application/hiring process. If you require accommodations, you can contact Qualcomm via email or phone to request reasonable support. If you have a passion for developing automation frameworks, software solutions, and working with cutting-edge technology in the RF and mixed-signal domain, this position might be a perfect fit for you. Join Qualcomm's dynamic team and contribute to the development of innovative solutions in the hardware engineering field.,

Kore.ai is a rapidly scaling enterprise AI company specializing in AI agent platform for Global 2000 enterprises. With nearly 100% year-over-year growth, we empower organizations with solutions for complex, mission-critical AI implementations. Our platform offers enterprise-grade security, mature release management, and comprehensive business solutions: AI for Work, AI for Service, and AI for Process. The Kore.ai Agent Platform enables standardized development and deployment of agentic capabilities at scale, providing control and flexibility for customers. As a Senior NLP Engineer at Kore.ai, you will lead and manage a team of NLP engineers and scientists. Your responsibilities include designing and developing innovative NLP solutions for various business problems, staying updated on the latest advancements in NLP research, collaborating with cross-functional teams for successful NLP integration, overseeing data pipeline efficiency, developing and maintaining NLP models, evaluating model performance, and sharing NLP knowledge within the team and organization. You will also identify and prioritize new NLP use cases, recruit talented NLP engineers, and continuously learn to stay abreast of the latest machine learning and AI developments. To excel in this role, you must have a minimum of 5 years of hands-on experience in Natural Language Processing, proficiency in Python programming, and a strong understanding of NLP techniques such as deep learning, machine learning, and statistical methods. Experience with NLP frameworks and libraries like TensorFlow, PyTorch, spaCy, and NLTK is essential. The ability to implement NLP aspects in non-English languages, understand NLP model architecture, and scale applications for high volumes of requests are key requirements. Additionally, skills in fine-tuning large language models for Gen AI tasks, testing and evaluating machine learning models, developing process pipelines for Gen AI use cases, and applying machine learning algorithms for NLP are crucial. Appreciated skills include knowledge of reinforcement learning, big data management tools, Node.js, scripting, content categorization algorithms, and research in natural language processing algorithms. Qualifications for this role include a graduate degree in Engineering or a Masters in Computer Applications. If you are passionate about driving business growth through AI and possess the required experience and skills, we invite you to join our team at Kore.ai and be part of shaping the future of enterprise AI.,

As an AI/ML Engineer with 4-8 years of experience, you will be responsible for designing, developing, and implementing machine learning models and AI-driven solutions. Your role will involve collaborating closely with Product Developers and product teams to create intelligent applications that contribute to the organization's business value. To excel in this position, you must showcase proven expertise as a Machine Learning Engineer, supported by a robust portfolio of successful machine learning projects. Your proficiency should encompass a deep understanding of machine learning algorithms, statistical concepts, and data analysis techniques. Proficiency in programming languages such as Python or R is essential, along with experience in utilizing machine learning frameworks and libraries like TensorFlow, PyTorch, and scikit-learn. Your skill set should also include practical experience with deep learning, neural networks, data visualization tools such as Matplotlib and Seaborn, version control systems like Git, and collaborative coding practices. Familiarity with big data technologies such as Hadoop and Spark, as well as knowledge of cloud platforms like AWS, Azure, and GCP and their machine learning services, will be advantageous. In addition to technical abilities, you should possess strong problem-solving and analytical skills, enabling you to navigate challenges effectively. An understanding of natural language processing (NLP) and computer vision will further enhance your capabilities in this role. The capacity to thrive in a dynamic, fast-paced environment is crucial for success in this position. If you are a proactive and driven professional with a passion for leveraging AI and ML technologies to drive innovation, this opportunity in Bengaluru, India, with a work mode of 5 days WFO, could be the ideal fit for you.,

You should possess a qualification of M.Tech / M.E / MS / M.Sc / Ph.D in Computer Science or a related discipline (Applied Mathematics, Statistics, Electrical and/or Computer Engineering) with a focus on Artificial Intelligence / Machine Learning. A CGPA of 7.5/10 or above in UG as well as PG level (in case of percentage, 70% or above) is required. You should have a minimum of 2 years of experience. As a team member, you will be responsible for applied research, development, and validation of advanced machine learning and AI algorithms for solving complex real-world problems at scale. Collaborating closely with the product team, you will analyze business problems and product vision to innovate algorithmic solutions. Your role will involve creating prototypes and demonstrations to validate innovative ideas and translating research outcomes into productized innovation by working with AI Engineers and software engineers. Additionally, you will create and maintain research plans, conduct experiments, consolidate and document results, and publish works as appropriate. It is important to document and protect intellectual property (IP) generated from R&D efforts by collaborating with designated teams and/or external agencies. Furthermore, mentoring junior staff to ensure correct procedures are followed, and collaborating with stakeholders, academic/research partners, and peer researchers to deliver tangible outcomes will be part of your responsibilities. The ideal candidate is expected to have a strong foundation in computer science fundamentals and analyzing and designing AI/Machine learning algorithms. Hands-on experience in at least two of the following areas is required: Supervised, unsupervised and semi-supervised machine learning algorithms, Reinforcement Learning, Deep learning & Representation Learning, Knowledge-based systems (knowledge representation, reasoning, and planning; FOL, ontologies etc.), Evolutionary Computing, Probabilistic Graphical Models, Streaming, incremental, and non-stationary learning. You should be proficient in at least one programming language and have experience in implementing AI/machine learning algorithms in Python or R. Additionally, experience with tools/frameworks/libraries such as Jupyter/Zeppelin, scikit-learn, matplotlib, pandas, Tensorflow, Keras, Apache Spark, etc. would be desirable. Applied research experience of at least 2-5 years on real-world problems using AI/Machine Learning techniques is necessary. Having at least one publication in a top-tier conference/journal related to AI/Machine Learning (E.g. ICML, AAAI, NIPS, ICCV, CVPR, KDD, SIGMOD, IJCNN, IJCAI, EMNLP, ICPR, ICDM, etc.) and/or patents would be beneficial. Experience in contributing to open-source projects related to AI/Machine Learning would be considered a strong advantage. This position is for Job Code: DSM_TVM and is located in Trivandrum. For further information, please reach out via email to recruitment@flytxt.com.,

Aithon Solutions is a dynamic organization specializing in operations and technology solutions for the alternative asset management sector. With a focus on re-engineering operations and utilizing new age technology, Aithon provides innovative solutions to entities in the rapidly growing funds market, ensuring readiness for the future. Our team consists of seasoned professionals with a successful history of developing companies, bringing immense value to clients and stakeholders through their expertise. As the Senior Engineering Lead at Aithon Solutions, you will play a pivotal role in overseeing the complete development process of our Generative AI products. Your responsibilities will include ensuring scalability, performance, and fostering innovation within the team. You will be instrumental in driving engineering excellence, collaborating with various departments, and nurturing a culture of high performance within the engineering team. This role demands a profound understanding of AI/ML, proficiency in Python coding, expertise in distributed systems, cloud architectures, and familiarity with modern software engineering practices. Hands-on experience in coding is essential for this role. Key Responsibilities: 1. **Technical Leadership & Strategy:** Define and implement the technology roadmap for Generative AI products, ensuring alignment with organizational objectives. 2. **AI/ML Product Development:** Lead the creation of AI-powered products, optimizing models for enhanced performance, scalability, and real-world applicability. 3. **Engineering Excellence:** Establish best practices in software development, DevOps, MLOps, and cloud-native architectures. 4. **Team Leadership & Scaling:** Recruit, mentor, and supervise a top-performing engineering team, cultivating a culture of innovation and collaboration. 5. **Cross-Functional Collaboration:** Collaborate closely with Product, Data Science, and Business teams to translate AI research into practical applications. 6. **Scalability & Performance Optimization:** Design and enhance distributed systems, ensuring efficient deployment of AI models across cloud and edge environments. 7. **Security & Compliance:** Implement industry best practices for AI ethics, data security, and regulatory compliance. Qualifications & Skills: - 12+ years of software engineering experience, including a minimum of 3 years in leadership roles within AI-driven companies. - Profound expertise in Generative AI, Deep Learning, NLP, Computer Vision, and model deployment. - Proficiency in Python coding. - Experience with ML frameworks and cloud platforms (AWS, GCP, Azure). - Demonstrated ability to scale AI/ML infrastructure and optimize models for performance and cost-efficiency. - Thorough understanding of distributed systems, cloud-native architectures, and microservices. - Hands-on experience with MLOps, CI/CD, and DevOps practices. - Strong problem-solving, strategic thinking, and stakeholder management abilities. - Capability to attract, develop, and retain top engineering talent in a competitive market. Why Join Us - Lead a team at the forefront of Generative AI innovation. - Work on scalable, high-impact AI products shaping the future of technology. - Opportunity to be part of an entrepreneurial culture that nurtures creativity, innovation, and teamwork. - Collaborate with a high-caliber and collaborative team.,

About Toyota Connected If you are passionate about changing the way the world works, transforming the automotive industry, and positively impacting others on a global scale, then Toyota Connected is the perfect place for you! Within our collaborative and fast-paced environment, we focus on continual improvement and work in a highly iterative way to deliver exceptional value in the form of connected products and services that wow and delight our customers and the world around us. Toyota Connected India is seeking an experienced Lead Computer Vision Engineer to lead the development of cutting-edge AI-powered applications for Software-Defined Vehicles (SDVs). In this role, you will be responsible for guiding a team of engineers and researchers in creating real-time perception, autonomous decision-making, and interactive AI systems that enhance in-vehicle intelligence, driver assistance, and passenger experiences. This is an exciting opportunity to work at the intersection of Generative AI, Computer Vision, and Automotive Technology, shaping the future of mobility with AI-driven capabilities. Your responsibilities will include: - Leading the design, development, and deployment of Generative AI and Computer Vision models for SDV applications, such as driver monitoring, object detection, autonomous navigation, and in-vehicle user experience. - Mentoring and guiding a team of AI engineers to foster a culture of innovation, collaboration, and technical excellence. - Architecting and training deep learning models for real-time perception, scene understanding, and multimodal AI applications. - Working closely with ADAS, IoT, and embedded software teams to integrate AI-powered solutions into vehicle architectures. - Optimizing AI models for real-time processing on automotive-grade edge hardware. - Developing AI-powered human-vehicle interaction systems and predictive user interfaces. - Staying updated on the latest advancements in AI/ML to push the boundaries of automotive AI applications. - Collaborating with OEMs, Tier 1 suppliers, and research institutions to align AI innovations with industry needs. To be successful in this role, you should have: - A Masters or Ph.D. in Computer Science, AI, Machine Learning, Computer Vision, or a related field. - Over 10 years of experience in Computer Vision, Deep Learning, or Generative AI, with at least 5 years of experience leading AI engineering teams. - Proven expertise in Deep Learning frameworks, Generative AI models, 3D Computer Vision, transformer-based architectures, and embedded AI/Edge ML. - Strong programming skills in Python, C++, CUDA, and ROS. - Understanding of ADAS, autonomous driving, digital twins, and SDV architectures. Preferred qualifications include experience in AI-driven Digital Cockpit and next-gen HMI applications, familiarity with 3D synthetic data generation, real-time sensor fusion, working with Automotive OEMs and Tier 1 suppliers, and cloud-based AI training. In return, you can expect top-tier compensation, autonomy in managing your workload, gym membership reimbursement, free catered lunches, a relaxed dress code, and the opportunity to build products that enhance the safety and convenience of millions of customers. Join us at Toyota Connected to embody our core values of being Empathetic, Passionate, Innovative, and Collaborative.,

Citi's mission is to serve as a trusted partner to clients by providing financial services responsibly to enable growth and economic progress. With 200 years of experience, Citi has been helping clients face tough challenges and seize great opportunities. Analytics and Information Management (AIM) at Citi has been operating since 2003 and is spread across multiple cities in India including Bengaluru, Chennai, Pune, and Mumbai. It is a global community that objectively connects and analyzes information to generate actionable intelligence for business leaders. The focus is on identifying fact-based opportunities for revenue growth in collaboration with businesses using top-notch analytic methodologies. The North America Consumer Bank Data Science and Modeling team within AIM analyzes millions of prospects and billions of customer transactions using big data tools, machine learning, and AI techniques to unlock opportunities for clients and create economic value for the bank. As a part of the Data Science and Modeling team of the North America Consumer Bank, the role will involve reporting to the AVP / VP leading the team. The Next Gen Analytics (NGA) team within AIM will concentrate on client-centric analytic solutions, project execution, modeling, technology proficiency, statistical mindset, communication skills, project management, coaching, mentorship, and contributing to organizational initiatives. Key responsibilities will include working with large and complex data sets using tools like Python, PySpark, SQL, R, etc., building modeling solutions for various business requirements, documenting data requirements, exploratory data analysis, model building, validation, implementation, governance, and more. The role will also involve specialization in marketing, risk, digital, AML fields, working with model governance, ensuring compliance with Citi standards, and assessing risks when making business decisions. The ideal candidate for this role should have a Bachelor's Degree with 3 years of data analytics experience, a Master's Degree with 2 years of experience, or a PhD. Technical skills required include experience in PySpark/Python/R programming, strong SQL experience, 2-4 years of experience in machine learning and statistical modeling techniques, understanding of deep learning, working with large datasets, statistical analysis, self-motivation, innovative thinking, experience in Machine Learning software frameworks, and more. Competencies sought after include strong communication skills, stakeholder management, analytical skills, problem-solving abilities, team player attitude, control orientation, risk awareness, and a quantitative field background. The educational requirements include a Bachelor's or Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, Engineering from a premier institute. This is a full-time employment opportunity in the Credit Cards, Retail Banking, Financial Services, Banking industry.,

As a Staff Software Development Engineer in System Optimization at Netradyne, you will be responsible for implementing and evolving processes to ensure the efficient and high-performance operation of our in-house designed driver monitoring and assistance technology. Your key responsibilities will include crafting and developing tools, frameworks, and reporting mechanisms for system optimization, streamlining software deployment across IoT devices, enhancing data platforms, and optimizing machine learning models deployed on the platform. Additionally, you will be improving driver monitoring and assistance algorithms to boost system efficiency, managing production inquiries, and ensuring overall application stability in production environments. Your role will also involve effectively conveying highly technical results to diverse audiences. To excel in this role, you should hold a B.E/B.Tech or M.E/M.Tech degree with a minimum of 6+ years of experience in software system optimization. You should possess exceptional attention to detail, strong analytical skills, and a creative mindset dedicated to achieving optimal system performance. Proficiency in programming languages such as C/C++, OpenGL, CUDA, and Python is required, along with a solid grasp of basic statistics, probability, and concepts in machine learning (ML) and computer vision (CV). Experience with ML frameworks like Caffe, TensorRT, OpenCL, SNPE, OpenVino, and ONNX, as well as expertise in embedded platforms, make files, build systems, and familiarity with Jenkins, will be valuable assets in this role. Netradyne is actively seeking talented engineers to join our Analytics team, particularly individuals with a strong educational background and past experience in IoT-related companies. If you have prior experience in IoT-related fields and are passionate about optimizing systems and software development, we encourage you to apply and be a part of our innovative team. Join us as a Staff Software Development Engineer in System Optimization and play a pivotal role in enhancing the efficiency and performance of our cutting-edge technology.,

7+ year experienced Data Scientist with expertise in LLM, Agentic AI to join our Product team and contribute to the development. As a key member, you will work on cutting-edge AI/ML models, focusing on improving and scaling our AI-powered solutions. Required Candidate profile Experience with LLMs (OpenAI, LLaMA, Claude) Deep understanding of Agentic AI architectures Proficient in AI/ML frameworks, and cloud deployment Experience in building, deploying AI-driven products

NewCold is a service provider in cold chain logistics with a focus on the development and operation of large, highly automated cold stores. We strive to play a crucial role in the cold chain of leading food companies by offering advanced logistic services worldwide. As one of the fastest-growing companies in the cold chain logistics industry, with over 2,000 employees, we are expanding our teams to support this growth. We utilize the latest technology to empower individuals to handle food responsibly and ensure food safety in a sustainable manner. Challenging the industry norms, we believe in forming long-term partnerships and delivering solid investment opportunities that pave the way for next-generation logistic solutions. With in-house expertise in designing, engineering, developing, and operating state-of-the-art automated cold stores, we have successfully executed projects across three continents. As we anticipate numerous new construction projects globally in the near future, this vacancy presents an exciting opportunity to be part of an internationally growing and ambitious organization. **Job Title:** AI Associate-Computer Vision **Location:** Bengaluru **Experience:** 1-2 Years **Compensation:** Up to 15 Lakhs PA **Position:** AI Associate - Computer Vision We are seeking a passionate and hands-on AI Associate (Computer Vision) to join our AI team. In this role, you will work on real-world applications using live video feeds and image data to develop intelligent visual systems that address significant challenges across logistics, operations, and automation. **Your Role:** This position offers an excellent opportunity for individuals looking to enhance their expertise in computer vision while contributing to the development of production-grade systems with tangible business impacts. **What You'll Do:** - Develop and train computer vision models for tasks such as object detection, tracking, OCR, and image classification. - Utilize tools like YOLO, OpenCV, and Detectron2 to address visual automation challenges. - Integrate vision models with real-time video streams (RTSP) or batch-based pipelines. - Prepare and annotate image/video datasets using modern data labeling tools. - Collaborate closely with data engineers and software developers to deploy models at scale using APIs or edge systems. - Monitor and fine-tune model performance based on live deployment feedback. - Document training approaches, data pipeline steps, and model behavior to facilitate continuous improvement. **What We're Looking For:** - B.Tech / M.Tech in Computer Science, Electrical Engineering, or a related field. - 1-2 years of experience in building computer vision solutions. - Strong Python skills and experience with at least one deep learning framework (e.g., PyTorch, TensorFlow). - Familiarity with image/video preprocessing, model evaluation, and optimization techniques. - Experience working with live video feeds or edge inference pipelines is advantageous. - Knowledge of version control (Git) and exposure to deploying models on cloud platforms (Azure preferred). **Nice to Have:** - Experience with ONNX, model quantization, or edge deployment tools. - Exposure to CV data labeling platforms like CVAT, Label Studio, or SuperAnnotate. - Understanding of MLOps practices for model packaging, versioning, and monitoring.,

As a software engineer at Google, you will play a crucial role in developing cutting-edge technologies that impact billions of users worldwide, transforming how people connect, explore, and engage with information. The scope of our projects extends far beyond web search, requiring innovative solutions in information retrieval, distributed computing, system design, networking, security, artificial intelligence, natural language processing, UI design, and mobile technology. Each day presents new challenges and opportunities to shape the future of technology. Your primary responsibilities will include collaborating with diverse teams to outline technical strategies and roadmaps aligned with Google Photos" objectives. You will be instrumental in delivering top-tier software solutions that drive the ongoing success of Google Photos. Additionally, you will have the chance to establish and advocate for best practices in software engineering, ensuring a balance between code quality, project velocity, and maintainability. A key aspect of your role will involve leading and mentoring a team of software engineers, fostering a positive and collaborative work environment where knowledge sharing, open communication, and mutual respect are encouraged. Your leadership skills will be essential in guiding project teams, setting technical directions, and promoting a culture of continuous learning and growth. To excel in this position, you should possess a Bachelor's degree or equivalent practical experience, along with a minimum of 8 years of software development experience in various programming languages and data structures/algorithms. Additionally, you should have a strong background in testing, launching software products, software design, and architecture. Proficiency in machine learning algorithms and tools, such as TensorFlow, artificial intelligence, deep learning, or natural language processing, is crucial. Ideally, you will also hold a Master's degree or PhD in Engineering, Computer Science, or a related technical field, and have experience in technical leadership roles leading project teams and driving technical innovation. Adaptability to changing organizational dynamics and experience in cross-functional projects will further enhance your suitability for this role. Join us in revolutionizing the way the world interacts with technology and be at the forefront of innovation at Google Photos, where user-centric experiences are our top priority.,

As a member of our team at Intellinet Systems, you will be part of a collaborative environment that fosters innovation and creativity. With a minimum of 6-10 years of experience and a graduate degree, you will have the opportunity to work on groundbreaking solutions in the field of Artificial Intelligence (AI). Your responsibilities will include designing and developing AI models and algorithms to address complex business problems. You will implement machine learning and deep learning techniques to analyze large datasets and extract valuable insights. Working closely with cross-functional teams, you will ensure that AI solutions are aligned with business requirements. In addition, you will preprocess and clean data to maintain accuracy for model training, optimize AI models using various algorithms, and conduct experiments to enhance model performance. Monitoring the deployment of AI models in production environments and staying updated on the latest advancements in AI and machine learning will also be part of your role. To excel in this position, you should have a Bachelor's or Master's degree in computer science, engineering, or a related field, along with 2-3 years of industry experience in developing AI solutions. Proficiency in Python and relevant libraries such as TensorFlow, PyTorch, or scikit-learn is essential. A solid understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques is also required. Experience in working with large datasets, data visualization, and cloud platforms for AI deployment (e.g., AWS, Azure, Google Cloud) will be beneficial. Strong problem-solving skills, creativity in overcoming challenges, and effective communication and teamwork abilities are key attributes for success in this role. If you are ready to grow with us and contribute to cutting-edge AI solutions, please send your updated CV to hr@intellinetsystem.com with the job code in the subject line. We look forward to welcoming you to our team in Gurgaon, Haryana, where you will work from the office in a dynamic and engaging environment.,

As a Data Science Manager in the S&C GN team, you will be based in Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, or Hyderabad. Leveraging your expertise in Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, and SQL, you will be working with a dynamic Data Science team focused on transforming customer interactions through data-driven intelligence. The team specializes in the Contact Center domain, aiming to optimize operations by utilizing machine learning, natural language processing (NLP), and advanced analytics. Your role will involve analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to enhance customer satisfaction and reduce call transfers. You will be instrumental in building conversational AI models, real-time recommendation systems, and predictive analytics solutions to drive meaningful business impact. Your responsibilities will encompass developing and fine-tuning Generative AI models, building and deploying ML models for intent classification and sentiment analysis, customer segmentation, and behavioral analysis. Collaborating with cross-functional teams including engineering, product, and marketing, you will integrate AI-driven solutions into existing platforms. As a Manager, you will be pivotal in stakeholder engagement, client communication, and business development. Translating complex AI/ML insights into actionable business strategies, you will present them to senior leadership and clients. Your role will involve leading client presentations, proposal development, and business growth initiatives to drive successful partnerships and long-term business impact. Strong interpersonal and negotiation skills will be key in identifying new opportunities for innovation and expansion. To be successful in this role, you should possess a PhD with 6+ years of relevant experience, a Masters degree with 8+ years of experience, or a Bachelors degree with 11+ years of experience. If you are passionate about applying data science to solve real-world customer experience challenges, this is the team where you can make a significant difference in the contact center space.,

You will be working as an AI Scientist at SVECTOR, a tech company focused on creating innovative software, applications, and artificial intelligence solutions to address complex challenges. Your main responsibilities will include developing AI models, conducting research, analyzing patterns, and applying data science techniques. This is a full-time hybrid role based in Ahmedabad, with some potential for remote work. To excel in this role, you should have strong Computer Science, Pattern Recognition, Data Science, Research and Statistics skills. You should possess excellent analytical and problem-solving abilities, with hands-on experience in machine learning and deep learning. An advanced degree in Computer Science, AI, or a related field is preferred. You should be able to work both independently and collaboratively to drive technological innovations in the field of AI and software development.,

As a Quantitative Research Analyst specializing in Deep Learning at MarkeTopper Securities, you will have the opportunity to collaborate with experienced quantitative analysts to conduct in-depth financial market analysis and develop cutting-edge trading algorithms. Your role will involve analyzing complex datasets to identify patterns and trends, optimizing algorithms for efficiency and accuracy, and contributing to technical documentation. Additionally, you will work closely with software engineers to implement trading models for deployment in live markets. To excel in this role, you should have proven experience in solving complex problems using deep learning and a strong proficiency in the real-world applications of unsupervised learning techniques. Your ability to apply mathematical and analytical skills to address real-world challenges will be crucial, along with proficiency in at least one programming language such as C, C++, or Python. Excellent written and verbal communication skills, strong collaboration and teamwork abilities, as well as the capacity to work independently and manage multiple tasks in a fast-paced environment are also essential. MarkeTopper Securities, as pioneers of Quantitative trading in India, offers a dynamic and inclusive work environment where you can expect a competitive compensation package with significant incentives and investment potential. Additionally, you will have access to health insurance and wellness programs, opportunities for professional and career advancement, and the convenience of a location in Gurgaon with easy access to public transportation. If you possess a Masters or Ph.D. in Computer Science, Engineering, Mathematics, Physics, or a related discipline from a premier academic institution, and have 2-3 years of experience (experience in a similar organization not necessary), we encourage you to apply. Individuals with a background in the application of Deep Learning will be given preference, and exceptional candidates with relevant experience and expertise will be considered even with a Bachelor's degree. Join us at MarkeTopper Securities to be part of a team that consistently generates superior risk-adjusted returns by combining financial market research with Mathematics and advanced computation.,

As a Machine Learning Engineer at Apple, you will have the opportunity to impact the future of Manufacturing through cutting-edge ML techniques. You will be working on groundbreaking applications of machine learning, research, and implementation that have the potential to change lives for the better. Your work will directly contribute to the optimization of processes, automation of quality control, and improvement of operational efficiency within Apple's supply chain for globally recognized products. In this role, you will collaborate with various engineering and operations teams to develop ML solutions for vision and language-based tasks. Your responsibilities will include crafting, designing, and implementing machine learning strategies for Apple's iPhone, Mac, and iPad supply chains. You will play a key role in fine-tuning Large Language Models (LLMs) and applying them in combination with Computer Vision (CV) techniques to address challenges in manufacturing environments. You will work alongside a vibrant team of machine learning engineers and data scientists to conceive, code, and deploy machine learning models at scale using industry-leading tools. Your role will involve developing scalable Computer Vision and Machine Learning algorithms, rapid prototyping for real-world manufacturing problems, and leveraging LLMs to automate document analysis and process optimization. Key Responsibilities: - Develop and deploy scalable Computer Vision and Machine Learning algorithms on local and cloud-based inferencing platforms - Design algorithms for real-world manufacturing problems in Intelligent Visual Inspection - Automate document analysis, knowledge extraction, and process optimization using Large Language Models - Collaborate with cross-functional teams to integrate ML applications and improve operational efficiency Minimum Qualifications: - Experience with 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, object detection, segmentation, and tracking - Masters in computer science, Machine Learning, or related field with 3+ years of industry experience - Experience deploying ML models in cloud environments for scalable production use Preferred Qualifications: - Strong grasp of deep learning principles in Computer Vision and Natural Language Processing - Familiarity with LLM architectures like BERT, GPT, and experience fine-tuning these models - Knowledge of machine learning and Deep Learning libraries such as PyTorch, OpenCV, Hugging Face - Experience with version control systems like Git and handling large datasets If you are passionate about influencing the quality, speed, and efficiency of ML algorithms and want to contribute to creating refined products, join us at Apple as a key contributor in developing machine learning solutions for diverse tasks and projects. Your expertise will help drive innovation and excellence in a fast-paced environment.,