5480 Deep Learning Jobs - Page 13

You are Navaera's AI Solutions Team Lead Engineer based in Vadodara, Gujarat. Navaera Software Services Pvt. Ltd. (NSS) is a part of Navaera Worldwide, LLC, offering software development and support services globally since 2014. As a key member of the research and engineering team, you will enhance and maintain artificial intelligence natural language processing (NLP) and computer vision solutions for financial services. Your responsibilities include designing, developing, and deploying computer vision/NLP/Gen-AI services, leading and mentoring a team of AI/ML engineers and data scientists, collaborating with various stakeholders to integrate AI solutions, monitoring model performance and reliability, and contributing to the architecture and development of the data pipeline supporting machine learning. Ideal candidates possess experience in deep learning systems, PyTorch framework, visual/textual intelligence analysis, GPU-based computing, NVIDIA CUDA, and MLOps tools. Strong attention to detail, independence, communication, teamwork, and problem-solving skills are crucial. You should hold a bachelor's/master's degree in computer science or related field, with 4+ years in computer vision and machine learning, and 3+ years in developing machine learning systems, including leadership experience. This is a full-time, permanent position offering health insurance, Provident Fund benefits, and requires relocation to Vadodara, Gujarat. Application questions include years of experience in Computer Vision and NLP, notice period, current annual CTC, and expected annual CTC.,

As an experienced Computer Vision Architect at Plan A Technologies, you will be the technical visionary and hands-on lead for designing, prototyping, and scaling intelligent vision systems for camera-based recognition systems that complement RFID-powered solutions. Your primary responsibility will be to enhance game security, player analytics, and dealer auditing by tracking game actions, player behaviors, chip movements, and dealer performance across various table games. Your role will involve leading the architecture of vision-based systems for real-time game state recognition, developing computer vision pipelines using classical methods and deep learning, working on multi-camera tracking and fusion with RFID signal data, building models for deployment in high-traffic casino environments, and establishing data pipelines for collecting and annotating casino video data. Collaboration with cross-functional teams to integrate vision with game engines, RFID readers, and player management systems, optimizing model performance for real-world environments, guiding junior engineers, and staying updated with industry trends are crucial aspects of this role. To be considered, you must have a Bachelor's degree in electrical engineering or a related field, at least 7 years of experience in computer vision with 3 years in a technical leadership role, proficiency in Python and deep learning frameworks, hands-on experience with object tracking and pose estimation, and familiarity with OpenCV, MediaPipe, and CUDA acceleration pipelines. Experience in casino or gaming environments, knowledge of reinforcement learning or generative models, and familiarity with cloud-to-edge deployment architectures are desirable. Strong communication skills, organizational abilities, and analytical thinking are essential for this role. Plan A Technologies offers a dynamic work environment in Gurugram, India, with great colleagues, a generous vacation schedule, and other benefits. If you are excited about building computer vision architecture from the ground up and contributing to the advancement of game analytics and security, we encourage you to apply for this role to join our team of talented engineers and project managers at Plan A Technologies.,

You will be responsible for developing a software pipeline that enables end-to-end ML Model Inference on a specific hardware accelerator, aiming to achieve maximum performance and accuracy. This will involve implementing cutting-edge deep learning layers for various model categories such as CNN, RNN, LSTM, GANs, etc using a customized inference pipeline for NN Processor. You will also work on performance optimization for inferencing the LLM Models on customized hardware, incorporating various layer types including transformer, encoder-decoder based models. It is essential to be hardware architecture aware and computation conscious to implement solutions effectively in an embedded device and maximize throughput. Additionally, you will be involved in developing tools and applications by producing clean and efficient code, identifying, prioritizing, and executing tasks based on requirements, and collaborating with the team to brainstorm and create new products. Mentoring fresh joiners and fostering team culture will also be part of your responsibilities. The ideal candidate should hold a BE/BTech/MS/MTech degree in Computer Science Engineering with a minimum of 4 years of experience. Strong programming skills in C/C++ and proven experience as a Senior Software Engineer are required. Experience in implementing kernel intrinsics for Machine Learning or Computer Vision algorithms with a focus on optimization is essential. Extensive experience in software development, project management, strong analytical and problem-solving skills, and adaptability to execute complex tasks under tight schedules and dynamic conditions are also necessary. Familiarity with various operating systems (Linux, Mac OS, Windows), the ability to work independently, manage a team, excellent organizational and leadership skills, and working knowledge of Deep Learning frameworks (such as ONNX, TensorFlow, PyTorch, or any Hardware Accelerator Software Pipeline Experience) are must-have qualifications. In addition to the must-have requirements, experience in managing a team size of 4 or more, working in an Agile Environment, and using automated testing frameworks are considered nice-to-have qualifications.,

As a Data Science expert, you will be a part of the Modeling & Simulation Data Science team within the Translational Medicine Unit. Your role will involve leveraging the potential of data science in the realm of drug discovery. With your inquisitive, innovative, and collaborative approach, you will be tasked with effectively utilizing the absorption, distribution, metabolism, excretion (ADME) and pharmacokinetics (PK) / pharmacodynamics (PD) data within the department. By mastering the use of in-house applications, as well as cutting-edge machine learning (ML) methods and statistical techniques, you will play a crucial role in expediting drug design processes. Join our dynamic, enthusiastic, and forward-thinking team as we continue to grow and make impactful contributions in the field of drug discovery. Your responsibilities will be diverse and include, but not limited to: - Acting as the M&S Data Science representative in drug discovery and lead optimization programs, providing scientific and strategic input based on dry- and wet-lab data analysis - Championing the use of in silico models, in-house tools, applications, and data to enhance decision-making processes - Applying data mining techniques to uncover correlations between molecular properties and structures across various programs involving small molecules, peptides, and RNAs - Identifying opportunities to develop custom in silico models and data strategies tailored to specific projects or modalities, and actively contributing to their creation and implementation - Engaging in clear and concise communication with internal and external stakeholders to raise awareness and amplify the impact of M&S Data Science - Staying updated on advancements in the field of AI/ML as applied to ADME and PK/PD, as well as data science methodologies in the context of drug discovery Essential qualifications for this role include: - An advanced degree in life sciences with a multidisciplinary background in areas such as cheminformatics, bioinformatics, AI/ML in drug discovery, data science, computational biology, or computational chemistry - A PhD with at least 2 years or an MSc with a minimum of 6 years of relevant work experience, demonstrating expertise in drug discovery and development processes - Proficiency in applying data science methods, tools, and practices to drug discovery, along with a strong grasp of statistics, machine learning, and deep learning - Demonstrated knowledge of data visualization, exploratory analysis, and programming languages like Python and R, including software development best practices - Familiarity with machine learning/deep learning libraries such as scikit-learn, keras, or pytorch, and exceptional communication skills to convey analytical concepts effectively to diverse audiences Additionally, desirable qualifications include experience in discovery-stage PK modeling for small molecule compounds and proficiency in generative algorithms and explainable AI. Join us at Novartis and be part of a community dedicated to making a positive impact on patients" lives through innovative science and collaborative efforts. If you are ready to contribute to breakthroughs that transform healthcare, we invite you to embark on this journey with us. [Note: The job description has been summarized and formatted for clarity and readability. The full job description can be found in the provided text.],

As a Research and Development Engineer at our Noida office with 1+ years of experience, you will be a key member of our team if you are passionate about coding, problem-solving, and innovation. Your responsibilities will include designing, developing, and optimizing deep learning models for computer vision and LLM applications. Additionally, you will research and implement state-of-the-art algorithms in ML/DL, preprocess, annotate, and manage large datasets, deploy ML models on cloud environments, collaborate with cross-functional teams, experiment, benchmark, and document innovative approaches for continuous improvement. To excel in this role, you must have a strong understanding of Computer Vision concepts such as object detection, image segmentation, and feature extraction. Proficiency in Deep Learning frameworks like PyTorch and TensorFlow is essential, along with experience in using OpenCV for image/video processing. Familiarity with Large Language Models (LLMs) and their integration is also required, as well as hands-on experience with cloud platforms such as AWS, Azure, or GCP. A solid grasp of data structures, algorithms, and software engineering best practices will further contribute to your success in this role. Joining CodeVyasa means working on innovative, high-impact projects alongside a team of top-tier professionals. You will have continuous learning opportunities, professional growth, and a flexible work environment supported by a positive company culture. In addition to a competitive salary, we offer a comprehensive benefits package and free healthcare coverage. If you are looking to make a meaningful impact in the field of Research and Development, we would love to hear from you.,

We are seeking a senior Data Science Engineer / Trainer to take on the direct responsibility for all training activities within various areas such as regular training programs, campus programs, and student projects. Your role will involve conducting classes, developing projects, providing training, evaluating progress, supervising, and mentoring junior trainees. As a senior Data Science Engineer / Trainer, you will be responsible for delivering advanced training sessions in data science. The topics covered will include Python Programming for Data Science, Mathematics & Statistics for AI, AI Ethics, Data Access, Handling and Visualization, Data Analysis with Python, Data Visualization with Python, Tableau, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision (CV), Full Stack Development, Generative AI, R Programming, Scala & Spark. You will be expected to customize training programs to cater to the specific needs of technical professionals and individuals transitioning into the field of data science. Your role will also involve guiding participants through hands-on projects to enhance their understanding and practical application of data science techniques. Additionally, you will assist students in conceptualizing, planning, and executing academic projects that showcase their proficiency in data science. This is a full-time permanent position that requires you to work in person at the specified location.,

You are a passionate and knowledgeable Machine Learning Engineer Trainer responsible for delivering high-quality training, designing engaging content, and mentoring learners in the field of Machine Learning and AI. You will conduct live sessions, create learning materials, mentor students on real-world ML problems, and stay updated with the latest trends in AI/ML. Collaborating with the content team, you will improve curriculum based on feedback, evaluate learner progress, and support internal upskilling programs. You should have a Bachelor's or Masters degree in Computer Science or related field, a strong understanding of Machine Learning algorithms, proficiency in Python and ML libraries, excellent communication skills, and a passion for teaching and mentoring. Prior experience in teaching or content creation is preferred but not mandatory. This is a full-time, permanent position based in Nagercoil with Provident Fund benefits.,

As a Machine Learning Engineer at Hashtag Infosystem, you will be responsible for designing machine learning systems, researching and implementing machine learning algorithms and tools, and managing research and development processes to align with our AI strategy. You will play a crucial role in developing machine learning applications according to project requirements and business goals. Your expertise will be utilized in conducting machine learning tests and statistical analysis to optimize the performance of machine learning systems. Your role will involve selecting appropriate datasets and data representation methods, extending existing machine learning libraries and frameworks, and ensuring that systems are trained and retrained as needed. Collaboration with engineering and leadership teams will be essential as you contribute to the design, prototyping, testing, and training of AI/ML solutions. Additionally, you will provide valuable insights and guidance to leaders on technology, strategy, and policy matters related to AI/ML. To excel in this position, you should possess a minimum of 5 years of experience in machine learning. Proficiency in deep learning, NLP, and TensorFlow is required, along with the ability to write robust code in Python, Java, and/or R. Experience in REST API development, NoSQL database design, and RDBMS design and optimizations will be beneficial. A solid understanding of basic algorithms, object-oriented and functional design principles, data structures, data modeling, and software architecture is essential. Your knowledge of math, probability, statistics, and algorithms will be put to use, along with familiarity with machine learning frameworks like Keras and PyTorch, and libraries such as scikit-learn. Strong communication skills, analytical thinking, and problem-solving abilities are key attributes for success in this role. If you are looking to leverage your expertise in machine learning and contribute to cutting-edge AI solutions, this opportunity at Hashtag Infosystem awaits you.,

As a professional services firm affiliated with KPMG International Limited, KPMG entities in India have been serving clients since August 1993. Leveraging the global network of firms, our professionals possess in-depth knowledge of local laws, regulations, markets, and competition. With offices spread across major cities in India including Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada, we offer a wide range of services to national and international clients across various sectors. We are currently seeking an AI & Computer Vision Engineer with expertise in detecting, segmenting, and classifying, backed by hands-on experience in deep learning. The ideal candidate will be proficient in working on Edge AI, model optimization, and deployment on platforms such as NVIDIA Orin, NXP i.MX8, Qualcomm QCS610, and other embedded systems. They should have a proven track record in building end-to-end AI pipelines utilizing tools like AWS SageMaker, MLFlow, Docker, and ensuring seamless cloud-edge integration. The role also requires a strong background in industrial vision systems, specializing in real-time defect detection, and developing solutions for barcode/inspection using OpenCV & C++. Additionally, experience in developing mobile AI applications using TensorFlow Lite for practical use cases will be beneficial. The candidate will be engaged in working on Proof of Concepts (PoVs) and contributing to Thought Leadership pieces related to industry applications. KPMG in India is an equal opportunity employer, fostering an inclusive work environment where diversity is celebrated and talent is nurtured.,

You are a skilled Mid-Level AI Engineer with over 4 years of experience, seeking to join a dynamic team in Bangalore. You have a strong foundation in Machine Learning and Deep Learning algorithms, with proficiency in frameworks like TensorFlow and PyTorch. Your expertise includes working with Large Language Models (LLMs) such as OpenAI, Gemini, and DeepSeek, along with other reasoning models. Knowledge of Knowledge Graphs is a plus. Additionally, you are well-versed in Python frameworks like FastAPI and Django, and have extensive experience on Azure platforms including App Service, Blob, Cosmos DB, Databricks, and Azure Machine Learning. Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes is highly desirable. Your responsibilities will include designing and implementing full-stack AI solutions using various Machine Learning and Deep Learning algorithms, optimizing algorithms for NLP and Computer Vision applications, working with LLMs to create intelligent applications, leveraging Azure platforms for application deployment and scalability, applying algorithms rigorously to solve complex AI problems, building Python-based applications that integrate seamlessly with AI solutions, collaborating with interdisciplinary teams to gather requirements and translate them into technical specifications, and utilizing containerization and orchestration technologies to optimize deployment workflows. To qualify for this role, you should have a Bachelors or Masters degree in Computer Science, Engineering, or a related field, proven experience in developing AI solutions with a solid understanding of Machine Learning and Deep Learning algorithms, expertise in frameworks like TensorFlow and PyTorch, experience with NLP and Computer Vision applications, proficiency in working with Large Language Models, extensive experience with Azure platforms, knowledge of Python frameworks, familiarity with containerization technologies and orchestration tools, and excellent problem-solving abilities with the capacity to work in a dynamic environment. Stay updated on the latest advancements in algorithms and methodologies in Machine Learning and Deep Learning to ensure continuous improvement and innovation.,

At Quantilityy AI, we are dedicated to developing the next generation of AI-led products and solutions to revolutionize how enterprises expand revenue, empower talent, and revolutionize industries. We seek passionate innovators who aspire to transcend the traditional employee role and strive to think, act, and grow as co-founders of a cutting-edge AI company. As an Advanced AI Engineer at Quantilityy AI, you will be instrumental in the design, development, and scaling of AI algorithms, models, and platforms that directly influence our core products and client solutions. This opportunity goes beyond just a job; it offers a chance to collaboratively create products with global impact while contributing to a company that is poised to become one of the world's most valuable AI-led business consulting and technology firms. Your key responsibilities will include leading the end-to-end development of advanced AI solutions to ensure scalability, efficiency, and robustness. You will collaborate with cross-functional teams to integrate AI into enterprise use cases such as coaching, diagnostics, interviews, simulations, and market insights. Working closely with founders, product leaders, and global clients, you will translate business requirements into transformative AI products. Additionally, you will drive the full AI lifecycle from ideation to design, development, testing, deployment, and iteration. Furthermore, mentoring and guiding junior engineers to foster a culture of innovation, agility, and technical excellence will be an essential part of your role. You will also be encouraged to push the boundaries of AI by experimenting with new methodologies, tools, and architectures. **Key Responsibilities:** - Lead the end-to-end development of advanced AI solutions, ensuring scalability, efficiency, and robustness. - Collaborate with cross-functional teams to embed AI into enterprise use cases. - Translate business requirements into transformative AI products. - Drive the full AI lifecycle from ideation to iteration. - Mentor and guide junior engineers to build a culture of innovation and technical excellence. - Experiment with new methodologies, tools, and architectures in AI. **Must-Have:** - Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. - 5+ years of experience in AI/ML development and projects. - Deep expertise in machine learning, deep learning, or natural language processing. - Proficiency in Python, TensorFlow, PyTorch, and modern ML Ops stacks. - Strong problem-solving and system design skills. **Nice-to-Have:** - Advanced degree (MSc/PhD) in AI/ML, EE, or related disciplines. - Experience building AI-driven SaaS or enterprise solutions. - Understanding of Generative AI, conversational AI, reinforcement learning. - Proven track record of leading teams/projects in a fast-paced environment. - Prior startup or co-founder experience is a plus. **Who We're Looking For:** - Builders at heart who strive to create world-class AI products. - Ownership mindset to shape code, culture, strategy, and client impact. - Passion for impact and reshaping industries with AI. - Agility and hunger to iterate fast and scale big. At Quantilityy AI, you will have the opportunity to work on cutting-edge AI products that blend consulting, strategy, and technology. This role is designed for individuals who aspire to be co-founders rather than employees, offering global exposure and the chance to work with CXOs across industries and geographies. Join us in a culture of innovation that embraces bold ideas, lean execution, and rapid experimentation as we aim to become one of the world's most valuable AI-driven consulting and product firms with a 10-year vision to scale to $100M+. If you are ready to create, own, and lead, Quantilityy AI is where you belong.,

DeepQuanty Artificial Intelligence Labs is a leading product startup specializing in Artificial Intelligence and Machine Learning, with a focus on Computer Vision solutions. With a strong presence in the BFSI industries, the company is dedicated to expanding its innovative products across various sectors. The founders bring a collective experience of over 75 years in analytics and technological product development, drawing from their successful ventures at MarketsOf1 Analytical Marketing Services Pvt. Ltd. and Pranion Technology Ventures. As a Lead in Computer Vision, you should possess 3-8 years of hands-on experience in utilizing Computer Vision and Machine Learning algorithms to address challenges related to documents and 2-D images. Proficiency in OpenCV is essential, along with a solid grasp of object segmentation, object identification, and preprocessing techniques using OpenCV. Strong coding skills in Python and C++ are required, in addition to holding a B.Tech / M.Tech degree from a reputable university. Moreover, familiarity with Optical Character Recognition problem-solving and knowledge of Deep Learning techniques such as CNN, RNN, and Reinforcement Learning will be advantageous. Experience with tools like Tensorflow and PyTorch is a plus. Your responsibilities will include collaborating closely with the Product Manager to translate product requirements into actionable plans, actively engaging in product blueprint discussions, and overseeing a team of computer vision engineers. This role offers a unique opportunity to leverage your expertise in computer vision, machine learning, robotics, and control systems to tackle stimulating product development challenges in a dynamic startup environment. As part of our rapidly growing company, we seek detail-oriented professionals who can contribute to our innovative projects with creativity and cross-functional skills. The position promises high visibility and potential for increased responsibilities as the company continues to grow.,

We are looking for passionate individuals to join our team as Summer Interns in the field of Generative AI. As a summer intern, you will have the opportunity to collaborate with a team of experts, develop and implement Generative AI applications, conduct research in the field, and share your knowledge with the community. Your roles and responsibilities will include collaborating with the team to develop and implement Generative AI applications, conducting research in Generative AI, staying updated with the latest advancements in the field, and organizing Generative AI hackathons for the community. To be considered for this position, you should be currently enrolled in a Bachelor's or Master's degree program in Data Science, Machine Learning, Artificial Intelligence, Computer Science, or a related field. You should have a strong understanding of Machine Learning, Deep Learning, Computer Vision, or Natural Language Processing. The ideal candidate will possess the ability to conduct research and develop innovative solutions in Generative AI, along with excellent communication skills and the ability to work collaboratively with others. This position is located in Gurgaon, Haryana.,

Dear Candidate, Greetings, this is Navaneethan from UST. UST is a leading digital technology services company that provides Advanced Computing and Digital Innovation Services to large private and public enterprises around the world. We are transforming lives, leading companies through critical digital transformations, transforming their businesses and the lives of their customers. Powered by the mantra Fewer clients, more attention’ UST Global specializes in six next generation digital services – design, cyber security, mobile, social, analytics and cloud. Headquartered in Aliso Viejo, California, UST Global has over 30,000 associates operating in 25 + countries across 4 continents. If you want to know more about us : Digital Transformation Solutions Company | UST . Job Specifications: Position: PyTorch Development (Python) Location: Bangalore Work Mode: Work From Office (5 days) Experience Range: 5+ years Key Responsibilities Design, develop, and implement deep learning models using PyTorch. Train and evaluate models on large datasets. Optimize model performance for speed and accuracy. Collaborate with researchers and engineers to integrate models into production systems. Stay up-to-date with the latest advancements in deep learning. Contribute to the development of internal tools and libraries. Write clean, well-documented code. Skills Required Proficiency in Python and PyTorch. Strong understanding of deep learning concepts (CNNs, RNNs, Transformers). Experience with training and evaluating deep learning models. Knowledge of optimization techniques and model deployment. Experience with version control systems (e.g., Git). Excellent problem-solving and communication skills. Requirements Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. 5+ years of experience developing deep learning models. Proven track record of successfully deploying deep learning solutions. Strong mathematical foundation and analytical skills. Ability to work independently and as part of a team. Kindly share your updated resume with the below details Full Name(As per the ID Proof): Current Location: Total years of experience: Relevant experience in Python Development: Relevant years of experience in PyTorch Development: CCTC: EXCTC: Reason for change: Notice Period: DOB: LinkedIn ID:

4+ years of experience in AI/ML. Strong in Python, NumPy, SciPy, Scikit-learn, Matplotlib, and CUDA for GPU computing. Time Series Analysis, Standard ML Algorithms or Deep Learning Architectures. Required Candidate profile Practical experience with GenAI models and prompt engineering. Familiarity with containerization and deployment -Docker, FastAPI, Flask Solid grasp of statistics, model validation & evaluation metrics

Job Location: Chandigarh-Mohali/Gurugram Interview process: Coding challenge >> Managerial webcam round (Tech + Managerial) We are seeking a strategic and visionary Machine Learning Manager who can lead a high-performing team and drive the development of cutting-edge solutions. The ideal candidate will possess deep expertise in machine learning techniques, along with hands-on experience in programming languages such as Python, R, Java, and Scala. A strong grasp of data structures, data modeling, and software architecture is essential, coupled with a solid foundation in statistics and mathematics. This role demands not only technical excellence but also strong leadership capabilities including team mentorship, cross-functional collaboration, and strategic alignmentto ensure the successful delivery of scalable, production-grade ML solutions. The ability to define a clear ML vision, set priorities, and foster innovation within the team is critical. Experience with machine learning frameworks, MLOps, and MLaaS (Machine Learning as a Service) is highly desirable. Role & Responsibilities Lead the development and implementation of machine learning models to solve complex business problems. Collaborate with cross-functional teams to gather requirements, understand business objectives, and translate them into technical solutions. Design and architect scalable and efficient machine learning systems. Conduct exploratory data analysis, feature engineering, and model evaluation. Stay updated with the latest advancements in machine learning research and technologies. Mentor and provide guidance to junior team members. Drive best practices in coding, testing, and documentation. Demonstrated leadership in driving end-to-end ML initiatives, from strategy and architecture design to deployment and monitoring, ensuring alignment with business goals. Expertise in defining scalable ML architectures and selecting appropriate tools, frameworks, and cloud platforms (MLaaS) for efficient model development and deployment. Proven experience in leading cross-functional teams, collaborating with product, engineering, and data teams to deliver impactful ML solutions. Skilled in establishing ML best practices, including lifecycle management, version control, model governance, and ethical AI standards. Preferred Candidate Profile 6+ years of proven experience in Machine Learning, including experience leading ML teams and delivering high-end solutions. Strong strategic mindset with the ability to align machine learning initiatives with business goals. Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. Proficiency in programming languages: Python, R, Java, and Scala. Strong hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Solid understanding of data structures, data modeling, and software architecture principles. Excellent grasp of statistics and mathematics, critical for building robust ML models. Familiarity and practical experience with MLOps and MLaaS (Machine Learning as a Service) is highly advantageous. Strong problem-solving skills and a keen eye for detail. Excellent communication and interpersonal skills for effective cross-functional collaboration. Demonstrated ability to mentor and lead a team of ML engineers and data scientists. Why Join Us? Experience the freedom to focus on meaningful and impactful tasks. Enjoy a flexible and supportive work environment. Maintain a healthy work-life balance. Thrive in a self-accountable culture with minimal micromanagement. Collaborate with a motivated and goal-oriented team. Work alongside an approachable, supportive, and highly skilled management team. Benefit from a competitive compensation package. Stay ahead of the curve by working with emerging, cutting-edge technologies. See your work make a tangible impact on the lives of millions of customers. ABOUT US: Paxcom a leading Digital Solution Provider is a part of Paymentus now, a leading electronic bill payment provider. PaymentUs leads the North American marketplace in electronic bill payment solutions and have recently signed a partnership with Paypal and Alexa. Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill presentment and payment services for more than 1300 clients leading the Utility, Telecom, Auto Finance, Insurance, Consumer Finance, and Health industries. Our comprehensive eBilling and Payment Platform allows our clients to provide a unified customer bill-pay experience that includes online, mobile, IVR, text, kiosk, and agent-assisted channels, as well as a full range of customer communication options. For more details, please visit www.paymentus.com

Position Summary: We are seeking a Factory Digital Twin Front End and AI Data Solutions Engineer to join our dynamic development team. In this role, you will drive the development and implementation of Factory Digital Twins, supporting the Digital Governance and Excellence Team. The ideal candidate should have a strong background in engineering or computer science, with experience in web application development, database management, and AI algorithms. A Snapshot of your Day How Youll Make an Impact (responsibilities of role) Development and maintenance of web-applications that will improve the user-interaction with the application Factory Digital Twins Simulation (FDTS). Development of structures for data and knowledge like glossaries, taxonomies and ontologies, knowledge graphs as well as modelling of logical constraints and rules in combination with LLM. Cooperation within the Team responsible for the implementation of FDTS on AWS-cloud and rollout in the factories. Analysis of factory data related to the three domains Products, Process and Resources (PPR) and development of ETL (Extraction, Transformation and Loading) Pipelines to generate a standardized input for FDTS. Realization of simulation analytics, automated derivation of recommendations and measures as well as optimization of brownfield or greenfield factories and the manufacturing network. Development of AI algorithms for analytics, explanation, generation of improvement scenarios, and optimization of factories and manufacturing network toward defined situation and business goal functions. What You Bring (required qualification and skill sets) Successful university degree in Engineering, Automation, Computer Science, Mathematics, Physics, or similar. Extensive experience in development of applications (Web-UI), databases and graphs, especially in combination with LLM Working knowledge in development of ETL-Pipelines and development of dashboards for data analytics and visualisation. Understanding and experience in Multi-AI-Agent-Systems for optimization purposes. Understanding and experience in 3D Deep Learning is an advantage. Profound understanding and experience in factory domains, production, product structures and manufacturing processes and technologies, especially in factory planning. Proficiency in English and readiness to travel globally is preferable.

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Responsibilities (KRAs / deliverables/job expectations). Lead the development and integration of AI/ML models into web applications. Architect and optimize AI-driven web solutions using frameworks like TensorFlow, PyTorch, Scikit-learn etc. Oversee the deployment of AI models using cloud services (AWS, Azure, Google Cloud). Collaborate with cross-functional teams to define AI strategies and implementation. Guide the development of scalable web applications using Angular, C#, NestJS etc. Ensure efficient data processing and model deployment in production environments. Optimize AI models for performance, accuracy, and scalability . Stay updated with the latest AI/ML trends and web development technologies. Mentor junior engineers and foster a culture of innovation. Critical Success Factors (critical / high-impact aspects of role): Strong expertise in machine learning algorithms and deep learning frameworks . Proficiency in Python, JavaScript, and web development frameworks . Experience with RESTful APIs, cloud computing, and database management . Familiarity with MLOps tools for automating machine learning workflows. Understanding of frontend and backend development for AI-powered applications. Ability to work with large datasets and optimize AI models for production. Experience: 10+ years of overall Software development experience and 4+ years of experience in AI/ML software development. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Responsibilities (KRAs / deliverables/job expectations). Lead the development and integration of AI/ML models into web applications. Architect and optimize AI-driven web solutions using frameworks like TensorFlow, PyTorch, Scikit-learn etc. Oversee the deployment of AI models using cloud services (AWS, Azure, Google Cloud). Collaborate with cross-functional teams to define AI strategies and implementation. Guide the development of scalable web applications using Angular, C#, NestJS etc. Ensure efficient data processing and model deployment in production environments. Optimize AI models for performance, accuracy, and scalability . Stay updated with the latest AI/ML trends and web development technologies. Mentor junior engineers and foster a culture of innovation. Critical Success Factors (critical / high-impact aspects of role): Strong expertise in machine learning algorithms and deep learning frameworks . Proficiency in Python, JavaScript, and web development frameworks . Experience with RESTful APIs, cloud computing, and database management . Familiarity with MLOps tools for automating machine learning workflows. Understanding of frontend and backend development for AI-powered applications. Ability to work with large datasets and optimize AI models for production. Experience: 10+ years of overall Software development experience and 4+ years of experience in AI/ML software development. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Responsibilities (KRAs / deliverables/job expectations). Lead the development and integration of AI/ML models into web applications. Architect and optimize AI-driven web solutions using frameworks like TensorFlow, PyTorch, Scikit-learn etc. Oversee the deployment of AI models using cloud services (AWS, Azure, Google Cloud). Collaborate with cross-functional teams to define AI strategies and implementation. Guide the development of scalable web applications using Angular, C#, NestJS etc. Ensure efficient data processing and model deployment in production environments. Optimize AI models for performance, accuracy, and scalability . Stay updated with the latest AI/ML trends and web development technologies. Mentor junior engineers and foster a culture of innovation. Critical Success Factors (critical / high-impact aspects of role): Strong expertise in machine learning algorithms and deep learning frameworks . Proficiency in Python, JavaScript, and web development frameworks . Experience with RESTful APIs, cloud computing, and database management . Familiarity with MLOps tools for automating machine learning workflows. Understanding of frontend and backend development for AI-powered applications. Ability to work with large datasets and optimize AI models for production. Experience: 10+ years of overall Software development experience and 4+ years of experience in AI/ML software development. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Have experience in developing production level Gen AI solutions by utilizing Azure OpenAI Google services Familiar with prompt engineering retrieval augmented generation and finetuning of opensource LLMs. Collaborate with data scientists and data engineers to build production level models and pipelines including any required preprocessing of input datasets and postprocessing after model inference. Develop and Deploy advanced Generative AI large language models Azure OpenAI Google Machine Learning and Deep Learning Models algorithms to enhance and automate existing business processes with predictive and intelligent decision-making content aggregation and contextualized insights. Processing cleansing and verifying the integrity of structured and unstructured business data used for analysis. Analyse large amount of information to discover underlying trends and patterns that are relevant for solving business problems Select features and perform proper data transformation to optimize datasets for building the models. Evaluate visualize and communicate the AIML model results and correlation with business KPIs Continuously optimize the existing AIML operations and help build effective model performance monitoring and improvement framework to proactively identify problems issues before business impact.

Job Title: AI/ML Engineer Experience: 4 to 10 Years Location: Hyderabad(On-site 5 Days) Employment Type: Full-Time Department: Data Science / Artificial Intelligence / Engineering Job Summary: We are seeking a skilled and innovative AI/ML Engineer with 4 to 10 years of experience in designing, developing, and deploying machine learning and artificial intelligence solutions. The ideal candidate will have a strong background in statistics, data science, and software engineering, along with hands-on experience in building scalable ML pipelines and models in real-world applications. Key Responsibilities: Design, build, and deploy scalable ML/AI models to solve complex business problems. Collaborate with data scientists, data engineers, and software developers to integrate models into production environments. Apply supervised and unsupervised learning techniques, deep learning, NLP, and computer vision algorithms. Work with large, complex datasets and perform data cleaning, preprocessing, and feature engineering. Evaluate model performance using appropriate metrics and implement model improvement strategies. Maintain and monitor models in production and retrain as necessary. Stay current with the latest research and trends in AI/ML and apply them when appropriate. Document model design, processes, and performance results clearly for stakeholders Required Skills & Qualifications: 4–10 years of experience in Machine Learning, Deep Learning, or AI engineering roles. Strong programming skills in Python (must-have), and familiarity with libraries like scikit-learn, TensorFlow, PyTorch, Keras, OpenCV, etc. Solid understanding of ML algorithms , model evaluation, and statistical methods. Experience with NLP , computer vision , or recommendation systems is a plus. Proficiency in working with data processing tools (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn). Familiarity with cloud platforms like AWS, GCP, or Azure for model deployment. Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow) is a strong advantage. Exposure to Docker/Kubernetes for containerized deployments. Experience working with large-scale datasets and SQL/NoSQL databases. Strong problem-solving skills and ability to work in cross-functional teams. Preferred Qualifications: Master’s or Ph.D. in Computer Science, Data Science, AI/ML, or a related field. Publications, contributions to open-source projects, or participation in ML competitions (e.g., Kaggle) are a plus. Soft Skills: Excellent communication and presentation skills. Ability to explain complex ML concepts to non-technical stakeholders. Collaborative mindset with a strong sense of ownership If you are interested, Kindly share your updated cv along with below details to thirumalesh.desineni@covasant.com Required Details: Full Name: Email ID: Contact Number: Overall Experience: Relevant Experience: No of Org worked: Current Company: Designation: Current CTC: Expected CTC: Notice Period Highest Education: Year of Passing: Current Location: Reason for Change: Regards, Thirumalesh Desineni thirumalesh.desineni@covasant.com

Job Area :Engineering Group, Engineering Group > Systems Engineering General Summary: We are seeking a passionate and skilled AI/ML Engineer to join our cutting-edge Extended Reality (XR) Software team. In this role, you will work on next-generation XR products that blend the physical and digital worlds, leveraging artificial intelligence and machine learning to create immersive, intelligent, and responsive experiences. You will collaborate with cross-functional teams of researchers, engineers, and designers to build real-time AI/ML software optimized for XR platforms. A strong background in C++ or embedded firmware development is essential, as you will be working close to hardware and performance-critical systems. Key Responsibilities Design, develop, and optimize AI/ML models for XR applications such as computer vision, sensor fusion, gesture recognition, and spatial understanding. Implement real-time inference pipelines on embedded or edge devices. Collaborate with firmware and hardware teams to integrate ML models into XR systems. Analyze system performance and optimize for latency, power, and memory. Stay up to date with the latest research and trends in AI/ML and XR technologies. Contribute to the full lifecycle of product developmentfrom prototyping to production. Required Qualifications Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field. 1-10 years of industry experience in AI/ML engineering or embedded systems. Proficiency in C++ and/or embedded firmware development . Solid understanding of machine learning fundamentals and experience with frameworks like TensorFlow , PyTorch , or ONNX . Experience with deploying ML models on edge devices Familiarity with XR technologies (AR/VR/MR), sensor data processing, or 3D spatial computing. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

Job Area :Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Experience - 2 to 12 years Location - Bangalore General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. In this position you will be responsible for assisting with the software design and development of the Qualcomm AI Stack, SDKs and associated tools, targeting Snapdragon platforms. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills. Responsibilities Software development of the AI orchestration framework, engine, and tools to develop agentic workflows and execution of the latest Neural Networks on Snapdragon chips. Validate the performance and accuracy of your software through detailed analysis and test of the use cases. Minimum Qualifications Software development experience using C/C++ and/or Python Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.) Experience in developing applications using Inter-Process Communication (IPC), like AIDL or SOME/IP. Strong communication skills (verbal, presentation, written) Preferred Qualifications Experience in developing embedded applications with low level interactions between operating systems (e.g., Linux, Android, Windows, QNX) and Hardware. Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT) Experience with LLM, LVM, LMM models, and other NN architectures. Experience with Machine Learning frameworks (e.g., Tensor Flow, Pytorch, Keras). Software development experience with Java Ability to collaborate across a globally diverse team and multiple interests Education Requirements Required: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Preferred: Bachelor's Computer Science, Computer Engineering, or Electrical Engineering

Data scientists at Thoughtworks apply a deep knowledge of statistics, modeling, machine learning algorithms and data mining techniques. This is coupled with awareness of adjacent areas, to make business value and data insights visible, enabling clear and effective decision making. They are responsible for the strategy, implementation, productionization and articulation of business impact. They collaborate with cross-functional teams and communicate findings to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Job responsibilities You will work collaboratively with teams/products, crafting data science and machine learning solutions that generate a big impact on customers. You will conduct experiments and develop hypotheses to solve business problems using advanced statistics techniques. You will develop and implement data science strategies that drive measurable business results. You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind. You will interact with clients from diverse domains, addressing their challenging problems. You will contribute to the growth and knowledge sharing within the data science community, with a focus on latest tech trends in the data science and machine learning space. You will address ethical concerns in data science, including privacy, bias and fairness, while adhering to ethical guidelines. Job qualifications Technical Skills You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects. You understand the specialized areas of AI and possess experience with at least one of them (i.e.: NLP/computer vision/Generative AI, etc). You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test. You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity. You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships. You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes. You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability. You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations. You are aware of data privacy regulations and ethical standards when handling sensitive information. Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. You dont shy away from risks or conflicts, instead you take them on and skillfully manage them. You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. You enjoy influencing others and always advocate for technical excellence while being open to change when needed.