3084 Deep Learning Jobs

As a Senior Data Scientist specializing in Generative AI, you will be responsible for leading technical development and mentoring teams. You must have a Master's degree in Computer Science, Data Science, or a related field, with a Ph.D. preferred. Additionally, you should have 8-12 years of experience in a Data Scientist or equivalent role, including at least 4 years of specialized experience in Generative AI. Your primary tasks will include working with financial data, applying NLP techniques, refining prompt engineering strategies for LLMs, collaborating with stakeholders, developing and testing Python code for GenAI solutions, integrating with vector databases, monitoring MLOps pipelines, researching emerging GenAI technologies, and troubleshooting and debugging GenAI models in production. It is crucial to stay up-to-date with the rapidly evolving GenAI landscape and continuously learn and explore new tools and techniques. To excel in this role, you must possess demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation, including deploying, monitoring, and maintaining models in a live environment. Expert-level Python skills are mandatory, along with proficiency in key libraries for AI/ML and GenAI applications such as TensorFlow, PyTorch, Scikit-learn, XGBoost, and LightGBM. Preferred qualifications include experience with MLOps, cloud computing platforms, conversational AI solutions, and contributing to research and publications in Generative AI. You should also have expertise in prompt engineering, fine-tuning LLMs, optimizing performance, and designing scalable API architectures for GenAI applications. The role of Senior Data Scientist at our organization requires a highly motivated individual with a strong passion for Generative AI and a proven ability to drive technical innovation and deliver impactful results within a team setting. This job description provides a high-level overview of the role, and other job-related duties may be assigned as required.,

You have over 10 years of experience with a continuous focus on data science throughout your career. You have successfully deployed at least two production-grade Generative AI solutions and have hands-on exposure to Agentic AI frameworks. Your expertise in Robotics includes Multiagent Systems, Automated Planning & Scheduling, Intelligence, and Orchestration. You are proficient in AI & ML, covering Supervised and Unsupervised Learning, Neural Networks, Large Language Models (LLMs), as well as Full-stack Software Engineering and System Design. You have a proven ability to apply emerging technologies to address complex business challenges. Your technical proficiency includes Python, FastAPI, Ollama, RDBMS (PostgreSQL), Message Brokers, UI Frameworks (Angular, Streamlit), Robot Operating System (ROS), AI/ML Python frameworks (scikit-learn, PyTorch, etc.), AWS, Azure, and Git. You are a recognized expert in machine learning, Generative AI, LLMs, SLMS, and Agents, with a strong emphasis on computer vision, deep learning, and statistical modeling. You have led innovative projects in video analytics, face recognition, and retail analytics utilizing tools such as OpenCV and Point Cloud Libraries. You have in-depth knowledge of robot kinematics, navigation, planning, multi-agent orchestration, neural networks, software engineering, architecture, OOP, and the Git ecosystem. You are experienced in techno-functional product and project management, contributing to key research and business decisions. You are skilled at interpreting research publications and staying updated with the latest technological advancements. You have a strong background in Computer Vision, AI, ML/DL, Generative AI, Large Language Models, and Agentic AI. You possess experience from product-based companies and an academic background from IIT. Mandatory Skills: Machine Learning. Experience: 8-10 Years. If you are inspired by reinvention and want to be part of building a modern Wipro, an end-to-end digital transformation partner with bold ambitions, then this is the place for you. We are looking for individuals who are constantly evolving, both in their careers and skills. At Wipro, we embrace change and empower our employees to design their own reinvention. Join us at Wipro and realize your ambitions. Applications from people with disabilities are explicitly welcome.,

As an Associate Manager Data Science within the Digital and Technology team, you will play a crucial role in modeling complex problems, uncovering insights, and streamlining workflows by utilizing statistical analysis, machine learning, generative AI, and data visualization techniques with cutting-edge big data & AI technologies. Your primary focus will involve collaborating with business partners to develop data science projects that drive advanced analytics and AI adoption to gain a competitive edge, enhance operational efficiency, and foster innovation. Your responsibilities will include executing end-to-end advanced data science projects aligned with business goals, mastering on-premise and cloud-based data warehousing and data lakes, staying abreast of the latest AI and ML technologies, constructing data pipelines for data ingestion, cleaning and imputing unclean data, conducting in-depth exploratory data analysis, engineering features relevant to data science problems, creating and assessing data models using various techniques, and presenting modeling results and recommendations to stakeholders in a clear and actionable manner. Moreover, you will collaborate closely with business stakeholders to identify challenges and opportunities, develop data-driven strategies, and implement solutions leveraging AI and machine learning technologies. It is essential to adhere to established standards, enhance documentation, share knowledge within teams, ensure data accuracy, consistency, and security, and effectively collaborate with team members. To qualify for this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or Applied Mathematics, along with at least 4 years of experience in data science. You should have a strong background in machine learning, statistical analysis, and predictive modeling, with practical expertise in programming languages like Python, R, or Scala. Proficiency in big data technologies, cloud-based solutions, and experience in developing scalable machine learning models for production environments are crucial. Additionally, familiarity with data engineering tools, cloud services platforms, containerization, CI/CD tools, and excellent communication skills are required for this position. As an integral part of a fast-paced and collaborative environment, you should demonstrate strong analytical skills, problem-solving abilities, and have a growth mindset to drive innovation. Your leadership behaviors should emphasize building outstanding teams, setting clear directions, simplification, collaboration, execution, accountability, fostering growth, embracing inclusivity, and maintaining an external focus to excel in this role.,

As a Senior AI Engineer at our organization, you will be an integral part of the Digital Engineering team with a primary focus on Innovation Initiatives. Your role will involve contributing to cutting-edge AI-driven platforms and future-trend projects. The ideal candidate we are looking for is someone with a deep expertise in machine learning and AI, along with a track record of developing scalable solutions. A delivery-focused mindset is essential for this role, emphasizing quick and incremental outputs within an agile environment. Your responsibilities will include developing cutting-edge AI solutions for future trends, rapidly prototyping and delivering impactful features (DemoBytes), integrating existing libraries/datasets for novel applications, developing select features from scratch when required, collaborating cross-functionally on AI innovations, proactively improving systems based on AI trends, participating in agile development processes, and delivering frequent and incremental outputs. Balancing innovation with practicality will be a key aspect of this role. To be successful in this role, you should have a Master's degree in Computer Science, Engineering, AI, or a related field, along with at least 4 years of experience in developing and deploying machine learning models and AI solutions. You should have experience in leading a team of at least 5 members. Proficiency in Python is a must, and familiarity with Java and R is also desirable. Expertise in machine learning, deep learning, natural language processing (NLP), and computer vision is crucial. Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or Keras is highly preferred. Additionally, you should have a solid understanding of data structures, algorithms, and software design principles, knowledge of RESTful APIs and microservices architecture, familiarity with agile development methodologies, strong problem-solving skills, and the ability to work effectively in a team environment. Excellent communication skills are also required to explain complex AI concepts to both technical and non-technical stakeholders.,

The university is seeking a distinguished academician and researcher for a full-time faculty position in Artificial Intelligence and Machine Learning. The ideal candidate should have a strong research background and a passion for mentoring the next generation of AI innovators. This role plays a crucial part in bridging the gap between academic theory and industry applications. Responsibilities include developing and delivering cutting-edge courses at various levels, conducting pioneering research in AI/ML, securing research grants, collaborating with industry partners, mentoring students, and contributing to the strategic direction of AI/ML programs at the university. Qualifications include a Ph.D. in Computer Science or related field from a globally recognized university, a proven record of publications in top AI/ML conferences and journals, and relevant post-Ph.D. experience based on the academic rank applied for. The university is looking for individuals who can lead research teams, design innovative curricula, supervise student projects, and actively engage in academic governance and faculty recruitment. Candidates with a promising research trajectory and a commitment to excellence in teaching are encouraged to apply.,

As a Senior Engineer specializing in AI and ML at our R&D department in Bhandup, Mumbai, you will be responsible for developing, implementing, and optimizing machine learning algorithms for autonomous systems. Your focus will encompass areas such as reinforcement learning, deep learning, and computer vision. Additionally, you will design algorithms for autonomous navigation, including path planning, localization, and decision-making to enable robots to operate effectively in dynamic environments. Your role will involve researching and developing algorithms to enhance human-robot interaction, ensuring intuitive and responsive robotic behavior. You will collaborate with robotics engineers and other AI specialists to integrate machine learning algorithms into robotics platforms, emphasizing real-time performance and efficiency. Utilizing simulation environments like OpenAI Gym, you will test and refine AI/ML models for reinforcement learning and autonomous system performance. Furthermore, you will work on optimizing machine learning models for deployment in resource-constrained environments, ensuring low-latency responses and high accuracy. To excel in this role, you should have a Bachelor's or Master's degree in Computer Science, AI, or Data Science, with a specialization in Machine Learning, Computer Vision, or Autonomous Systems. You should possess 3-5 years of experience in AI, particularly in reinforcement learning, deep learning, or computer vision. Experience in developing algorithms for autonomous navigation, decision making, and human-robot interaction is highly desirable. Your industrial background should include working with companies specializing in autonomous vehicles, humanoid robots, or AI-driven products. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, OpenCV, or Dlib is essential. Additionally, you should be proficient in programming languages like Python, C++, and MATLAB. Familiarity with simulation environments like OpenAI Gym for reinforcement learning and computer vision for object detection and tracking is crucial. As a Senior Engineer in AI and ML, you will stay updated with the latest advancements in AI/ML, computer vision, and autonomous systems to contribute innovative ideas and solutions to the team. Moreover, you will provide clear documentation for AI algorithms, testing results, and methodologies to ensure reproducibility and alignment with project goals. If you are passionate about AI, ML, and robotics, and possess the necessary qualifications and experience, we invite you to apply for this full-time position by sending your application to recruitment@hirect.com with the Job Code H250304. Join us in shaping the future of autonomous systems and robotics with your expertise and innovative approach.,

We are seeking a skilled Python AI/ML Engineer with a strong passion for developing AI/ML solutions and contributing to ML pipelines. The ideal candidate will have in-depth knowledge of traditional and deep learning concepts, hands-on programming skills, experience in enterprise-grade software engineering, and a good understanding of MLOps practices. As a Python AI/ML Engineer, your responsibilities will include designing, developing, and deploying scalable machine learning models for various tasks such as classification, regression, NLP, and generative tasks. You will be tasked with building and optimizing data transformation workflows using Python and Pandas, leading AI/ML project pipelines from data ingestion to model deployment and monitoring, and implementing model observability and monitoring for drift. Additionally, you will be involved in developing REST APIs and integrating ML models with production systems using frameworks like FastAPI. Participation in code reviews, writing unit/integration tests, and ensuring high code quality will be essential. Collaborating with cross-functional teams including Data Engineers, DevOps, and Product Managers is a key aspect of this role. To excel in this position, you must have advanced proficiency in Python and its libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. A strong understanding of asynchronous programming, FastAPI, and concurrency is required. Solid grasp of traditional ML concepts, experience with deep learning, and familiarity with MLOps tools are also necessary skills. Experience with REST API development, integration testing, CI/CD practices, containerization tools like Docker, and cloud-based ML deployment will be beneficial. Furthermore, the ability to perform data transformation and aggregation tasks using Python/Pandas is essential for success in this role. Having experience in GenAI, working with LLMs, and exposure to tools like MLflow, Kubeflow, Airflow, or similar MLOps platforms are considered advantageous. Any prior contributions to open-source ML tools or GitHub repositories will be a plus. If you have a strong background in Python, AI/ML, deep learning, MLOps practices, and are enthusiastic about developing innovative solutions, we encourage you to apply for this position and be part of our dynamic team.,

As an Engineer, you are required to possess very good knowledge of Ultrasonic technology. Your responsibilities will include algorithm development using ultrasonic sensors for project detection, tracking, and other related tasks. Proficiency in C++ and Python is essential for this role. Additionally, familiarity with deep learning concepts would be advantageous. You should be adept at algorithm development, Ultrasonic sensor operation, Python programming, project detection, tracking ad, Ultrasonic technology, and C++. Knowledge of Python and experience in deep learning are supported skills that would be beneficial in this position.,

Join us to lead data modernization and maximize analytics utility. As a Data Owner Lead at JPMorgan Chase within the Data Analytics team, you play a crucial role in enabling the business to drive faster innovation through data. You are responsible for managing customer application and account opening data, ensuring its quality and protection, and collaborating with technology and business partners to execute data requirements. In this role, you will document data requirements for your product and coordinate with technology and business partners to manage change from legacy to modernized data. You will model data for efficient querying and use in LLMs, utilizing the business data dictionary and metadata. Additionally, you will develop ideas for data products by understanding analytics needs and create prototypes for productizing datasets. You will also be responsible for developing proof of concepts for natural language querying and collaborating with stakeholders to rollout capabilities. Supporting the team in building backlog, grooming initiatives, and leading data engineering scrum teams will also be part of your responsibilities. Furthermore, you will manage direct or matrixed staff to execute data-related tasks efficiently. To be successful in this role, you must hold a Bachelor's degree and have at least 5 years of experience in data modeling for relational, NoSQL, and graph databases. Expertise in data technologies such as analytics, business intelligence, machine learning, data warehousing, data management & governance, and AWS cloud solutions is crucial. Experience with natural language processing, machine learning, and deep learning toolkits (like TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) is also required. You should have the ability to balance short-term goals and long-term vision in complex environments. Knowledge of open data standards, data taxonomy, vocabularies, and metadata management is essential for this role. A Master's degree is preferred for this position to further enhance your qualifications and capabilities.,

As a Business Analytics Analyst 2 in the Data Science and Modeling team of North America Consumer Bank at CITI, you will have the opportunity to work on a wide range of projects involving big data tools, machine learning, and AI techniques to unlock opportunities for clients and create economic value for the bank. You will be responsible for creating client-centric analytic solutions to business problems, owning and delivering complex analytic projects, staying up-to-date with the latest modeling community use cases, and sharing knowledge within the team. Additionally, you will need to have proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling, as well as strong communication skills to translate technical ideas to a broader audience. Your role will involve working with large and complex datasets using tools like Python, PySpark, SQL, and Hive to build deep learning and generative AI solutions. You will focus on model training, fine-tuning, validation, deployment, and governance related to multiple portfolios. Moreover, you will design, implement, and fine-tune Generative AI applications using techniques like prompt engineering and Retrieval Augmented Generation (RAG). Collaboration with team members and business partners to build model-driven solutions using cutting-edge Generative AI models will also be a key aspect of your responsibilities. You will need to ensure compliance of models with Citi standards, assess risks in business decisions, and drive adherence to applicable laws and regulations. To be successful in this role, you should have a Bachelor's degree with at least 3 years of experience in data analytics, a Master's degree with 2 years of experience, or a PhD. Technical skills required include hands-on experience in PySpark/Python/R programming, deep learning and generative AI applications, familiarity with tools like TensorFlow, PyTorch, and Hugging Face Transformers, and a strong background in statistical analysis. If you are a bright and talented individual looking to pursue a career in AI and Machine Learning with a focus on Generative AI, this role at CITI offers incredible opportunities for growth and development. Join us and be a part of a dynamic team that is at the forefront of innovation in the financial services industry.,

The Applications Development Technology Senior Lead Analyst position is at a senior level and involves establishing and implementing new or revised application systems and programs in coordination with the Technology Team. Your main objective in this role is to lead applications systems analysis and programming activities. You will be responsible for leading the Data Science functions regionally to meet goals, deploy new products, and enhance processes. Additionally, you will serve as a functional Subject Matter Expert (SME) across the company, utilizing advanced knowledge of algorithms, data structures, distributed systems, and networking to lead, architect, and drive broader adoption forward. To be successful in this role, you should have at least 10+ years of relevant experience in an Apps Development role or senior level experience within Data analytics/ML space, as well as at least 3+ years of experience applying AI to practical uses, with experience in deep learning, NLP, and Tensorflow. Proficiency in Scala, Python, and other language or domain-specific packages, as well as the Big Data ecosystem, is required. You should exhibit expertise in all aspects of technology by understanding broader patterns and techniques as they apply to Citigroup's internal and external cloud platforms (AWS, PCF, Akamai). Additionally, acquiring relevant technology and financial industry skills (AWS PWS) and understanding all aspects of NGA technology, including innovative approaches and new opportunities, is essential. Strong communication skills are a must, including the ability to translate business use cases to tech specs, work with diverse project teams, and develop relationships with vendors. You will be responsible for analyzing complex business processes, system processes, and industry standards to define and develop solutions to high-level problems. Your role will also involve allocating work and acting as an advisor/coach to developers, analysts, and new team members. You will provide expertise in the area of advanced knowledge of applications programming and plan assignments involving large budgets, cross-functional projects, or multiple projects. Additionally, you will appropriately assess risk when making business decisions, safeguarding Citigroup, its clients, and assets by driving compliance with applicable laws, rules, and regulations. You will utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals. Qualifications required for this role include over 14+ years of relevant experience, hands-on experience with Big Data, ML, and Gen AI, and experience in executing projects from start to end. You should be a demonstrated Subject Matter Expert (SME) in the area(s) of Applications Development, with demonstrated knowledge of client core business functions, leadership, project management, and development skills, as well as relationship and consensus-building skills. Education requirements include a Bachelor's degree/University degree or equivalent experience, with a Master's degree preferred. Citi is an equal opportunity and affirmative action employer, offering full-time job opportunities in the Technology Job Family Group, specifically in the Applications Development Job Family.,

You will be joining an innovative company that is transforming retail checkout experiences by leveraging cutting-edge Computer Vision technology to replace traditional barcodes. Our platform streamlines and accelerates checkout processes, elevating the shopping journey for both retailers and consumers. As we continue to expand rapidly, we are seeking an Android/Cross-Platform App Developer with a wealth of experience to contribute to shaping the future of retail technology. Your main responsibilities will include leading the research, design, and development of advanced computer vision models for various tasks such as object detection, tracking, segmentation, OCR, scene understanding, and 3D vision. You will be tasked with translating business requirements into scalable scientific solutions by employing state-of-the-art deep learning and classical computer vision techniques. Additionally, designing and executing experiments to assess the performance, robustness, and accuracy of computer vision models in real-world production settings will be a key part of your role. Collaborating with cross-functional teams, including software engineering, product, and data teams to seamlessly integrate vision models into applications is essential for success. You will also be driving innovation through the generation of internal intellectual property (patents, publications) and contributing to the long-term AI/ML roadmap. Providing scientific and technical leadership, mentoring junior scientists, and reviewing designs and architectures will be crucial. To stay at the forefront of the field, you will need to stay current with the latest advancements in AI, deep learning, and computer vision by engaging in academic and industrial research. For this role, you are required to have a M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on Computer Vision or Machine Learning. A minimum of 5 years of practical experience in constructing and deploying production-grade computer vision models is necessary. You should possess a solid theoretical foundation and practical experience with deep learning frameworks like PyTorch, as well as model architectures such as CNNs, Vision Transformers, and Diffusion Models. Experience with handling large-scale datasets, training pipelines, and performance evaluation metrics is expected. Proficiency in Python and scientific computing libraries like NumPy, OpenCV, and scikit-learn is essential. Familiarity with model optimization for edge deployment (ONNX, TensorRT, pruning/quantization) would be advantageous. Excellent written and verbal communication skills are required, along with a history of mentoring and collaborating with others. Preferred qualifications include experience working with computer vision in real-time systems (e.g., AR/VR, robotics, automotive, surveillance), having research papers published in top-tier conferences (CVPR, ICCV, NeurIPS, etc.), exposure to MLOps or ML model lifecycle in production environments, and familiarity with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes) as well as basic bash scripting skills.,

As a Data Scientist in our team, you will be responsible for conducting product assortment analysis, identifying trends and patterns in category performance, and providing support for new product launches. Your role will involve utilizing data and visualization techniques to offer actionable insights for store teams, territory, and district managers. You will also be designing and testing campaign effectiveness, analyzing cross-sell and up-sell opportunities, and performing Market Basket Analysis. Additionally, you will be analyzing loyalty and customer data to create direct marketing campaigns and measure their effectiveness. Your ability to translate complex data insights into understandable and actionable information for non-technical and business teams will be crucial for this role. Requirements: - Proven experience as a Data Scientist or in a similar role. - Strong knowledge of data analysis, statistics, and machine learning. - Proficiency in data science tools and programming languages such as Python, SQL, and ML as well as Business understanding etc. - Prior experience in CRM, Loyalty, Customer, or Retail/CPG Analytics. - Familiarity with supervised and unsupervised learning techniques, deep learning, reinforcement learning, evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI. - Expertise in Category/Product Analytics, Store Analytics, Marketing and Promotion Analytics, and Customer Analytics. - Proficiency in visualization tools such as Power BI, Spotfire, or similar. - Excellent storytelling skills to explain complex data to non-technical/business teams. - Experience in analytics, preferably within Retail, CPG, or E-commerce domains. - Excellent communication and collaboration skills with the ability to work effectively in a team environment. Benefits: - Competitive salary and performance-based bonuses. - Comprehensive insurance plans. - Collaborative and supportive work environment. - Opportunity to learn and grow with a talented team. - Positive and fun work environment.,

As a Qualcomm Software Engineer, your role involves designing, developing, creating, modifying, and validating embedded and cloud edge software, applications, and specialized utility programs. Your contributions will lead to the launch of cutting-edge, world-class products that exceed customer needs. Collaboration with systems, hardware, architecture, test engineers, and other teams is essential to design system-level software solutions and gather performance requirements and interfaces. As a member of the Fingerprint SW team, you will be responsible for designing, modifying, and implementing Fingerprint SW in the Middleware Layer for Qualcomm Fingerprint Solution. Your tasks will include SW design and development on embedded platforms, SW Stack development in the Middleware layer, as well as debugging and resolving issues in SW reported by internal test teams and customers. Minimum Qualifications: - 3 to 5 years of experience with embedded systems - Proficiency in C and Database Concepts - Understanding of Linux User and Kernel space development - Strong analytical and problem-solving skills - Solid grasp of basic real-time/embedded programming concepts and real-time operating systems concepts Preferred Qualifications: - Understanding of microprocessor and multiprocessor architecture - Exposure to ARM-based processors and Trustzone awareness - Basic understanding of Machine Learning and Deep learning techniques In this role, your expertise in software engineering, embedded systems, C programming, and problem-solving will contribute to the success of Qualcomm's cutting-edge technologies.,

As an AI Engineer at SOLIZE India Technologies, you will be responsible for developing and optimizing AI models for deployment on edge devices, with a specific focus on anomaly detection and sensor data processing. Your role will involve designing and implementing anomaly detection models using statistical and unsupervised learning techniques, as well as developing and integrating AI models optimized for edge devices. You will work with time-series and sensor data, applying appropriate preprocessing, noise reduction, and feature extraction techniques. Utilizing deep learning architectures such as CNNs, RNNs, LSTM, GRU, and GANs will be a key part of your responsibilities. Additionally, you will be expected to perform model evaluation, optimization, cross-validation, and hyperparameter tuning, as well as visualize and analyze datasets using Python tools like Pandas, Matplotlib, and Seaborn. To excel in this role, you should have a strong foundation in machine learning and deep learning, along with hands-on experience in Python and AI frameworks. You must possess knowledge of anomaly detection techniques, experience in integrating AI models, and a fundamental understanding of machine learning and deep learning. Proficiency in Python libraries such as TensorFlow, PyTorch, and scikit-learn is essential, as is an understanding of time-series data processing and sensor data processing techniques. Data visualization and analysis skills, as well as AI model optimization and evaluation methods, will also be crucial for success in this position. The ideal candidate for this role is a young to mid-career professional with a flexible mindset and a strong willingness to learn. An interest in Japanese culture, such as anime, would be beneficial. You should have a strong interest in AI and embedded development, excellent problem-solving skills, and a keen interest in Industrial IoT. If you are motivated by self-learning, collaborative team-oriented work environments, and the opportunity to deepen your knowledge in the field, we encourage you to apply for this position. Website: www.solize.com/india,

As a Recruiter/Senior IT Recruiter specializing in cutting-edge roles across the IT and semiconductor spectrum, you will lead full-cycle recruitment for hybrid IT roles blending software, hardware, and systems expertise. Your role will involve sourcing and evaluating candidates for specialized domains such as Computer Vision, Firmware, Embedded Systems, SoC, CPU/GPU, ASIC, FPGA, RTL Design, AR/VR, AI/ML, and Deep Learning within the semiconductor industry. Utilizing diverse sourcing strategies including job boards, networking platforms, referrals, and niche tech communities, you will connect with top-tier talent in deep tech domains. Your responsibilities will include conducting technical screenings, coordinating interview processes with hiring managers, and building high-quality pipelines to ensure timely and successful closures. You will thrive in high-growth environments and demonstrate a strong grasp of emerging technologies and deep tech hiring practices. To excel in this role, you should have a minimum of 2 years of technical recruitment experience, preferably in IT and semiconductor verticals. Exceptional interpersonal, communication, and organizational skills are essential for effectively engaging with candidates and hiring managers. Familiarity with US hiring standards, visa types, and technical assessment techniques will be advantageous in this position.,

About KPMG in India KPMG entities in India are professional services firm(s) affiliated with KPMG International Limited, established in August 1993. Leveraging the global network of firms, our professionals are well-versed in local laws, regulations, markets, and competition. With offices across India, including in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada, we offer services to national and international clients across various sectors. Our focus is on providing rapid, performance-based, industry-focused, and technology-enabled services, drawing on our global and local industry knowledge and experience in the Indian business environment. Key Responsibilities Design, develop, and deploy machine learning and deep learning models to solve a variety of business problems. Utilize NLP techniques such as text classification, information extraction, sentiment analysis, and language modeling. Collaborate with cross-functional teams to comprehend requirements and provide AI-driven solutions. Stay informed about the latest advancements in AI/ML and GenAI. Implement proof-of-concepts and contribute to client presentations as needed. Required Skills And Qualifications Bachelors/Masters degree in Computer Science, Engineering, Mathematics, or a related field. Solid grasp of fundamental AI/ML algorithms and techniques. Hands-on experience with Machine Learning frameworks (e.g., scikit-learn, XGBoost, LightGBM) and Deep Learning libraries (e.g., TensorFlow, PyTorch, Keras). Experience in NLP tasks like text preprocessing, named entity recognition, and text summarization. Understanding of Generative AI basics (LLMs, diffusion models, prompt engineering). Proficiency in Python and relevant data science tools. Strong problem-solving and analytical abilities. Excellent communication and collaboration skills. Preferred Qualifications Experience in developing and deploying AI/ML models in production settings. Knowledge of cloud platforms (e.g., AWS, Azure, GCP). Familiarity with MLOps tools and practices. Publications or involvement in AI/ML competitions. Equal Opportunity Employer KPMG India,

You are looking for a highly skilled and motivated Team Lead to join the Robotics and Autonomous Vehicles team. In this role, you will be responsible for leading a group of engineers in designing, developing, and deploying critical software modules for robotics and autonomous systems. Your expertise in Linux, C++, Python, Deep Learning, Computer Vision, Image Processing, Qt, and QML will be crucial for this position. As a Team Lead, your key responsibilities will include system design and development using C++, Python, and Linux-based platforms, integrating deep learning models and computer vision algorithms. You will also provide technical leadership by guiding and mentoring the engineering team to ensure high-quality deliverables and adherence to project timelines. Collaboration with hardware engineers and other stakeholders to align technical solutions with business objectives is essential. Additionally, you will oversee code quality, enforce coding standards, and promote best practices to ensure scalable and maintainable software. Utilizing Qt and QML, you will be involved in UI/UX development to design intuitive and responsive user interfaces for robotic systems and autonomous vehicle applications. To qualify for this role, you should have 5-6 years of professional experience in software development, particularly in robotics, autonomous vehicles, or related fields. Proficiency in C++ and Python, extensive experience with Linux environments, hands-on expertise in Deep Learning, Computer Vision, and Image Processing, proficiency in Qt and QML, leadership skills, and excellent communication abilities are required. A degree in Computer Science is also preferred. Preferred qualifications include experience with event platforms or similar frameworks, knowledge of design patterns, OOPS, Database Systems, hands-on AI assisted product/project development, familiarity with Agile methodologies and project management tools, and prior experience in the autonomous vehicles or robotics industry. Joining this team will allow you to work on groundbreaking projects that have a significant impact on the future of robotics and autonomous vehicles for the Indian armed forces. You will be part of a collaborative culture where your ideas are valued, and teamwork drives success. To apply for this position, please submit your resume and a cover letter showcasing your relevant experience and passion for robotics and autonomous systems to careers@bhairavrobotics.in.,

The AI Architect is responsible for consulting with clients to understand their AI/ML and analytics needs, as well as delivering AI/ML applications to meet those needs. Working closely with internal business units and clients, you will translate business problems into data science problems and design intelligent solutions that provide value to stakeholders. Collaboration with the data engineering team is essential to identify relevant data and preprocess it for modeling. Developing statistical machine learning models and AI models using appropriate tools and frameworks is a key aspect of the role. Additionally, you will collaborate with the business intelligence team to create BI systems and visualizations that convey insights from data science models effectively. Delivering AI/ML solutions as microservices in partnership with the application team is also part of the job scope. The ideal candidate will hold a Masters/Bachelors degree in Computer Science, Statistics, or Economics, with at least 6 years of experience in the Data Science field. A deep understanding of Machine Learning models and algorithms, along with experience in analyzing complex business problems and translating them into data science solutions, is required. Proficiency in various Machine Learning algorithms and frameworks, such as TensorFlow and knowledge of programming languages like Python/R, is essential. Moreover, familiarity with SQL, Relational Databases, NoSQL Databases, Datawarehouse concepts, and cloud architectures like AWS/Azure is necessary. Experience in deploying AI/ML models using Flask, Azure function, AWS Lambda, and knowledge of BI and visualization tools like Tableau/PowerBI/Qlik/Plotly would be advantageous. Soft skills such as being a team player, effective communicator, proactive problem solver, and capable leader are essential for this role. Managing and nurturing a team of data scientists, as well as demonstrating a keen interest in numbers and patterns, are also desired qualities.,

As a Junior Research Fellow in the field of Artificial Intelligence and Machine Learning at NIT Raipur, you will be part of a project titled "Development of Responsible Artificial Intelligence for Bias Mitigation in Health Care Systems" sponsored by The Ministry of Electronics & Information Technology (MeitY), Govt. of India. Your role will involve contributing to the research area of Artificial Intelligence and Machine Learning, with a focus on bias mitigation in health care systems. The position offers a consolidated monthly fellowship of Rs.37,000/- per month along with HRA. To be eligible for this position, you should hold a B.Tech./B.E. degree in Computer Science & Engineering (CSE) or a related branch, with GATE qualification. Alternatively, candidates with a B.E./B.Tech. and M.E./MTech. in Computer Science & Engineering/Information Technology/EE/ETE/Data Science/AI/ML or relevant branches, or MCA/MSc in Computer Science/IT from an Institute of National Importance/AICTE-approved University/Institution with a minimum of 65% marks or 7.0 CGPA are also encouraged to apply. Preference will be given to candidates with GATE/NET qualification. Desirable qualifications for this position include strong knowledge and hands-on experience in Machine Learning, Deep Learning, Web technologies, and Python. To apply for this position, please fill out the Google Form (https://forms.gle/Ftrdh2t7D9E5pER96) with all your academic and professional details. During the walk-in interview scheduled for 04th August 2025, from 11.00 AM onwards at the Department of Computer Science & Engineering, NIT Raipur, please bring the printed application form along with self-attested copies of required documents such as DOB certificate, degree/provisional certificate, mark sheets, NET/GATE scorecard, caste certificate, NOC, and other relevant documents. Original documents must be presented for verification during the interview process. This position is initially available until 31st December 2025, with the possibility of extension for an additional two years based on your satisfactory performance and the project's duration.,

As an Applied Research Engineer at Tookitaki in India, you will lead cutting-edge AI and machine learning research in regulatory compliance and financial crime detection. With over 6 years of experience, you will focus on developing innovative AI models, optimizing algorithms, and translating research into real-world applications. Your role will involve collaborating with data scientists, engineers, and regulatory teams to create cutting-edge, regulatory-compliant AI solutions. You will play a pivotal role in advancing Tookitaki's AI-driven compliance solutions by developing novel AI/ML algorithms and ensuring their practical implementation. This involves research, design, and implementation of state-of-the-art AI/ML models for fraud detection, risk assessment, and financial crime prevention. You will optimize models for accuracy, efficiency, and scalability across various financial datasets, experimenting with graph-based AI, deep learning, and unsupervised learning techniques to improve detection capabilities. Your responsibilities will also include developing new feature engineering and model selection techniques to enhance AI model performance, optimizing model inference speed for real-time and batch processing scenarios, and exploring federated learning and privacy-preserving AI techniques to ensure data security and compliance. You will work closely with ML engineers and software developers to deploy AI models into production, implement scalable AI pipelines for large-scale financial data processing, and ensure AI solutions are explainable, interpretable, and aligned with regulatory requirements. In addition, you will analyze structured and unstructured financial datasets to extract meaningful features for ML models, design and build robust data preprocessing pipelines to enhance model accuracy and generalization, and work with data engineering teams to ensure efficient and scalable data ingestion. You will develop transparent and explainable AI models to meet financial industry compliance standards, ensure adherence to ethical AI guidelines, fairness, and bias mitigation strategies, and collaborate with legal and compliance teams to align AI research with evolving regulatory frameworks. To qualify for this role, you should have a Masters or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field, with a strong research background in AI/ML, deep learning, or statistical modeling. You should have at least 6 years of experience in applied AI research, machine learning, or data science, along with expertise in Python, TensorFlow, PyTorch, or JAX, NLP, anomaly detection, graph-based AI, time-series analysis, big data processing frameworks (Spark, Hadoop), and cloud AI platforms (AWS/GCP). Additionally, you should possess strong problem-solving skills, excellent collaboration and communication skills, and the ability to balance research innovation with real-world constraints and scalability. At Tookitaki, you will have the opportunity to develop and deploy AI models to enhance compliance solutions, improve model accuracy and efficiency, ensure seamless deployment of AI models into production, reduce false positives in financial fraud detection, and contribute to AI advancements through research papers and technical reports. You will receive a competitive salary, access to professional development training, comprehensive benefits, and growth opportunities within the rapidly expanding Services Delivery team. Tookitaki is transforming financial services by building a robust trust layer focused on preventing fraud and combating money laundering. Leveraging collaborative intelligence and a federated AI approach, Tookitaki delivers powerful, AI-driven solutions for real-time fraud detection and AML compliance. By serving leading banks and fintech companies globally, Tookitaki is redefining the standards of financial crime detection and prevention, creating a safer and more trustworthy financial ecosystem for everyone.,

You will be working as a Senior AI/ML Developer, where your primary responsibility will be to design, develop, and implement advanced AI/ML algorithms and models. You will collaborate with cross-functional teams to understand business needs and translate them into technical requirements. Additionally, you will be expected to research and explore new AI/ML techniques and technologies. You must have a minimum of 3 years of experience in AI/ML development to qualify for this role. Your educational background should include MCA, BE/B.Tech-IT/Computer, or MSC-IT. Strong programming skills in Python, Django, and Flask are essential for this position. Expertise in machine learning algorithms and techniques such as supervised learning, unsupervised learning, and deep learning is required. Furthermore, you should have experience with natural language processing (NLP) and computer vision. Familiarity with popular AI/ML frameworks and libraries like TensorFlow, PyTorch, and Keras is preferred. Knowledge of cloud platforms such as AWS and Azure is also desirable. As a Senior AI/ML Developer, you will be responsible for training and optimizing AI/ML models on large datasets, evaluating and improving model performance, and collecting, cleaning, and preprocessing data from various sources. Staying up-to-date with the latest trends and developments in the AI/ML field is crucial. In addition to technical responsibilities, you will be expected to mentor and guide junior developers, providing technical expertise, and fostering a culture of continuous learning and improvement. Excellent problem-solving and analytical skills are essential for this role, along with the ability to work both independently and as part of a team. A passion for AI/ML and a desire to make a significant impact in this field are important qualities we are looking for. Proficiency in data visualization tools such as Tableau, Power BI, matplotlib, and seaborn is a plus. Knowledge of software engineering best practices, including version control, Docker, testing, and CI/CD, is highly valued. Experience working in Agile development methodologies will be an advantage.,

As a Senior Python Developer, you will be responsible for designing, developing, and maintaining scalable Python applications and AI-powered solutions. Your primary focus will be collaborating with cross-functional teams to understand requirements and create, train, deploy, and optimize machine learning and AI applications. You will integrate AI/ML models into production environments with robust error handling, logging, and monitoring. In this role, you will implement and enhance data preprocessing pipelines to ensure data quality for training and inference. Your responsibilities will include conducting research to explore new AI/ML technologies, frameworks, and practices to enable teams. You will be expected to write clean, testable, and efficient code following best practices for software development and debug and improve the performance, scalability, and reliability of Python-based applications. To succeed in this position, you must have proficiency in Python and its libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, NumPy, and Flask/Django. Hands-on experience with ML algorithms including supervised and unsupervised learning, reinforcement learning is required. Additionally, knowledge of natural language processing (NLP), computer vision, or deep learning techniques is preferred. Familiarity with AI-driven tools and architectures is a plus. A solid understanding of data structures, preprocessing techniques, and feature engineering is essential for this role. Experience deploying AI/ML models using frameworks like Docker, Kubernetes, or AWS/GCP/Azure cloud services will be beneficial. If you are someone who is passionate about Python development and AI technologies, and possess the required skills and experience, we encourage you to apply for this position and be a part of our dynamic team.,

As an Embedded Radar AI/ML Engineer at Aptiv, you will play a crucial role in developing cutting-edge perception systems essential for autonomous vehicles. Your primary responsibility will involve designing and implementing state-of-the-art radar and AI/ML technologies on embedded platforms to create market-leading perception solutions that support Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) features. Your key responsibilities will include designing and developing AI-focused perception systems for automotive radar applications, optimizing and implementing Aptiv's advanced Radar ML algorithms on embedded platforms, and creating efficient real-time integrations of complex algorithms for AI System-on-Chips (SoCs). You will also be tasked with defining clean interfaces between algorithm components and embedded systems, developing tools and methodologies to enhance development workflows, and evaluating hardware platforms that meet AI/ML requirements. To qualify for this role, you should hold a Master's or Ph.D. in Computer Science, Electrical Engineering, Physics, Mathematics, or a related technical field. Additionally, you must have proven programming expertise in Python with at least 2 years of professional experience, demonstrated experience in developing deep learning solutions, and a working knowledge of embedded software development principles and constraints. Strong analytical skills, a solid mathematical foundation, and excellent communication skills are also essential for success in this position. Preferred qualifications for this role include proficiency in C/C++ programming, experience with code optimization and low-level embedded architectures, knowledge of instruction sets, memory architectures, FPGAs, DSPs, and AI accelerators, and hands-on experience with Texas Instruments hardware and Deep Learning Software Library. Moreover, a track record of collaborative software development in team environments, automotive industry experience, and familiarity with automotive software development standards and processes will be advantageous. By joining Aptiv, you will have the opportunity to contribute to the future of mobility and work towards making transportation safer, greener, and more connected. In addition to a supportive work environment that fosters growth and development regardless of gender, ethnicity, or beliefs, you will also have access to a range of benefits such as hybrid and flexible working hours, higher education opportunities, life and accident insurance, well-being programs, access to fitness clubs, and more, ensuring your holistic well-being and professional growth.,

As a Data Scientist at TransOrg Analytics, you will have the opportunity to be part of a team that specializes in Data Science, Data Engineering, and Generative AI. We provide advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC, and the Middle East. Our focus is on leveraging data science to streamline, optimize, and accelerate our clients" businesses. We are looking for individuals who have a Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field. The ideal candidate should have 3-5 years of relevant experience in data analysis or a related role. Proficiency in data pre-processing and manipulation using Python or SQL is required. Additionally, experience in statistical analysis and modeling techniques such as regression, classification, and clustering is essential. Experience with machine learning and deep learning frameworks and libraries is a plus. Familiarity with data processing tools and frameworks, as well as data visualization tools like Tableau or Power BI, is highly desirable. The successful candidate should have a proven track record of managing data project delivery, meeting deadlines, managing stakeholder expectations, and producing clear deliverables. Strong problem-solving skills with a keen attention to detail are crucial for this role. The ability to think critically and provide data-backed insights is key. Excellent communication skills, both verbal and written, are necessary to effectively collaborate with team members and stakeholders. An understanding of Cloud Platforms such as Azure, AWS, or GCP is beneficial, along with the ability to utilize them for developing, training, and testing deep learning models. Familiarity with cloud-based data warehousing platforms like Snowflake is also advantageous. If you are passionate about data science, analytics, and driving business impact through data-driven insights, we invite you to explore the opportunity of joining our team at TransOrg Analytics. Visit our website at www.transorg.com to learn more about us and our work.,