9815 Tensorflow Jobs - Page 28

As a Back-End Developer at our company, you will be responsible for developing an AI-driven prescriptive remediation model for SuperZoom, CBRE's data quality platform. Your primary focus will be on analyzing invalid records flagged by data quality rules and providing suggestions for corrected values based on historical patterns. It is crucial that the model you develop learns from past corrections to continuously enhance its future recommendations. The ideal candidate for this role should possess a solid background in machine learning, natural language processing (NLP), data quality, and backend development. Your key responsibilities will include developing a prescriptive remediation model to analyze and suggest corrections for bad records, implementing a feedback loop for continuous learning, building APIs and backend workflows for seamless integration, designing a data pipeline for real-time processing of flagged records, optimizing model performance for large-scale datasets, and collaborating effectively with data governance teams, data scientists, and front-end developers. Additionally, you will be expected to ensure the security, scalability, and performance of the system in handling sensitive data. To excel in this role, you should have at least 5 years of backend development experience with a focus on AI/ML-driven solutions. Proficiency in Python, including skills in Pandas, PySpark, and NumPy, is essential. Experience with machine learning libraries like Scikit-Learn, TensorFlow, or Hugging Face Transformers, along with a solid understanding of data quality, fuzzy matching, and NLP techniques for text correction, will be advantageous. Strong SQL skills and familiarity with databases such as PostgreSQL, Snowflake, or MS SQL Server are required, as well as expertise in building RESTful APIs and integrating ML models into production systems. Your problem-solving and analytical abilities will also be put to the test in handling diverse data quality issues effectively. Nice-to-have skills for this role include experience with vector databases (e.g., Pinecone, Weaviate) for similarity search, familiarity with LLMs and fine-tuning for data correction tasks, experience with Apache Airflow for workflow automation, and knowledge of reinforcement learning to enhance remediation accuracy over time. Your success in this role will be measured by the accuracy and relevance of suggestions provided for data quality issues in flagged records, improved model performance through iterative learning, seamless integration of the remediation model into SuperZoom, and on-time delivery of backend features in collaboration with the data governance team.,

As a skilled AI/ML Engineer, your primary responsibility will be to develop and train AI/ML models to enhance the functionalities of virtual humans, focusing on emotion detection, facial recognition, and speech synthesis. Your role will involve working on data preprocessing to ensure that datasets are clean, labeled accurately, and optimized for effective model training. Collaboration with senior engineers will be essential to implement and optimize deep learning models using frameworks such as TensorFlow, Keras, or PyTorch. Furthermore, you will play a key role in assisting in the deployment of AI models, guaranteeing their optimal performance in real-time applications. Your expertise will be required to conduct model evaluation and tuning, aiming to enhance accuracy, performance, and efficiency. Additionally, you will have the opportunity to contribute to research and innovation in AI applications for digital humans, exploring cutting-edge techniques in machine learning and AI. Join a company dedicated to creating hyper-realistic virtual influencers that elevate marketing returns for both brands and individuals. Be a part of an exciting journey with Kshan, India's first virtual influencer who can engage with people on various platforms like Instagram. Follow Kshan's lifestyle and witness the future of virtual interactions.,

LooprIQ Inspect is an AI application designed to automate quality and production processes on the factory floor. With LooprIQ Inspect, customers can easily automate the detection of defects in products, verify assembly of parts, and perform various other tasks. We have developed a state-of-the-art micro-service architecture that utilizes the latest computer vision AI models in the backend to analyze real-time video data. The inference results are stored in a scalable middleware and presented through a user-friendly front-end interface optimized for operators using the app in a factory setting. The data from the app can be seamlessly integrated with the customer's ERP system for deriving valuable analytics. We are currently looking for an experienced and motivated ML Engineer to join our team in a technical lead capacity. In this role, you will be responsible for leading the development and training of computer vision models that power LooprIQ Inspect, effectively addressing complex issues faced by customers in the manufacturing and aerospace industries. Additionally, you will serve as a technical lead, providing guidance and support to other members of the ML team. As a part of our team, you will have the opportunity to: - Design, train, debug, fine-tune, and deploy deep learning models for object detection, image segmentation, and image classification tasks. - Champion dataset management and exploration using cutting-edge data platforms like Encord. - Provide technical guidance and take ownership of deliverables within a close-knit team of ML scientists. - Collaborate with cross-functional teams to understand project requirements and offer technical expertise in computer vision. - Orchestrate complex computer vision pipelines and workflows using our internal Azure & ML Flow services, ensuring reproducibility and scalability of experiments and models. - Integrate computer vision models into production applications using Python libraries and other relevant technologies. - Optimize computer vision models for performance, efficiency, and accuracy across different hardware platforms. - Stay informed about the latest advancements in computer vision and machine learning research to enhance the company's capabilities. Minimum Requirements: - Bachelor's, Master's, or PhD in Computer Science, Informatics, Physics, or related fields. - 7+ years of proven experience in computer vision, deep learning, and image processing, with a strong project portfolio. Experience in manufacturing industries is a plus. - 2+ years of proven technical leadership experience. - Proficiency in Python, familiarity with computer vision libraries (e.g., OpenCV, TensorFlow, PyTorch), and Linux/bash proficiency. - Experience in building, deploying, and maintaining production ML systems. - Familiarity with cloud platforms, especially Azure, for deploying and scaling computer vision models. - Knowledge of containerization technologies (e.g., Docker, Kubernetes) for deploying computer vision models. - Strong problem-solving skills, independence, innovation, and effective communication skills. Joining Loopr AI presents an exciting opportunity to work alongside a dynamic team at the forefront of computer vision technology. You will be involved in cutting-edge projects, collaborate with industry experts, and contribute significantly to solving real-world challenges using computer vision techniques.,

You will be responsible for leading the development and implementation of ML models and algorithms for Computer Vision. This includes optimizing deep learning models for tasks such as object detection and image segmentation. Your role will involve preprocessing data and creating efficient data pipelines for high-quality datasets. Additionally, you will integrate and enhance computer vision techniques and architectures to improve model performance. Collaboration with cross-functional teams will be key to integrating solutions into applications. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science or a related field. You should possess at least 2 years of experience in Machine Learning with a focus on Computer Vision. Proficiency in Python, TensorFlow, PyTorch, and OpenCV is required. A strong understanding of computer vision algorithms and deep learning is essential. Any experience with image processing and cloud platforms would be considered a plus. This is a full-time position based in Indore, MP. As part of the benefits, you will receive internet reimbursement. The work schedule is during the day shift. As part of the application process, you will be asked the following questions: 1. What is your current CTC 2. What is your expected CTC 3. Are you comfortable relocating to Indore, MP 4. How many years of experience do you have using computer vision technology ,

As an experienced professional with over 5 years of expertise in AI, Cloud Architecture (with a strong emphasis on Azure), and Global SaaS/AI/AgTech Startups, you have the opportunity to shape the future of AI-Driven Agriculture in a high-impact, senior role based in Gurugram, IN. In this role, you will be responsible for architecting scalable AI, IoT, and cloud solutions that contribute to sustainable farming practices. Working closely with the Founder & CEO, CTO, and AI/IoT teams, you will play a pivotal role in defining and executing a global-ready Azure AI-Cloud architecture. Your expertise will be instrumental in expanding the global market presence of AI-driven vertical farms & Agritech platforms into markets such as SEA, UAE, and the US. Your primary responsibilities will include architecting and scaling INNOFarms.AI's AI-powered cloud platform on Azure, optimizing AI-driven data pipelines for real-time farm monitoring, decision-making, and automation, integrating IoT, Robotics, and AI models into a scalable Cloud & Edge Computing framework, and enhancing cybersecurity, compliance, and data privacy measures for global markets. Additionally, you will provide strategic technical direction, guide engineering teams in India(Gurugram) and HK, and collaborate closely with the Founder & CEO/VCs & business teams to align tech strategy with fundraising & global expansion efforts. To excel in this role, you should bring to the table a minimum of 7 years of experience in AI, Cloud, SaaS, or IoT product scaling, deep expertise in Azure technologies such as Deep Azure IoT hub, AI, Event Hubs, CosmosDB, and Serverless Functions, hands-on experience in AI model deployment using tools like ML Ops, TensorFlow, PyTorch, and AutoML, as well as prior experience in scaling AI/SaaS startups globally, particularly in the Middle East, SEA, and US markets. Leadership experience in AI-AgTech or AI Venture would be advantageous, along with a strong ability to mentor remote, distributed engineering teams. Experience in AgriTech, IoT, or Smart Automation Platforms, as well as an understanding of regulatory, security, and compliance requirements for AI-based cloud systems, would be considered a plus for this role. If you are ready to take on this exciting opportunity and contribute to the advancement of AI-driven agriculture, we encourage you to apply by sending your resume to Careers@INNOFarms.ai.,

You will be responsible for architecting and delivering Automation and AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Working closely with business stakeholders, you will understand business requirements and design custom AI solutions to address complex challenges. This role offers the opportunity to accelerate AI adoption across the business landscape in the Statistical Applications and Data domain. Your key responsibilities include defining and leading AI use cases in clinical projects from start-up through close-out. This involves tasks such as protocol development, site management, and data review. To excel in this role, you must be a proficient programmer capable of developing AI solutions thoroughly. Additionally, you will be expected to coach and mentor junior AI/ML engineers to enhance and accelerate AI adoption in business processes. Required Technical Skills: - Bachelors degree in a relevant scientific discipline (e.g., Biomedical engineering, Life Sciences, Nursing, Pharmacy) or clinical background (e.g., MD- Doctor of Medicine OR RN - Registered Nurse) - Advanced degree (e.g., Masters or Ph.D.) in Data Science, AI/ML - Overall experience of 10-12 years with a minimum of 5-7 years in clinical research, particularly managing clinical trials in pharmaceutical, biotechnology, or contract research organization (CRO) settings - Minimum of 5-7 years of experience in AI research and development, specifically focusing on healthcare or life sciences applications - Strong understanding of clinical trial regulations and guidelines, including Good Clinical Practice (GCP), International Conference on Harmonization (ICH), and applicable local regulations - Proven track record in designing and delivering AI solutions, emphasizing foundation models, large language models, or similar technologies - Experience in natural language processing (NLP) and text analytics is highly desirable - Proficiency in programming languages such as Python, R, and experience with AI frameworks like TensorFlow, PyTorch, or Hugging Face - Knowledge of libraries such as SciKit Learn, Pandas, Matplotlib, etc. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus - Experience working with large datasets, performing data pre-processing, feature engineering, and model evaluation - Proficiency in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions In summary, this role requires a seasoned professional with a strong background in AI, clinical research, and technical expertise to drive innovation and AI adoption in the pharmaceutical domain, particularly in clinical settings.,

The Senior AI Engineer - Agentic AI position at JMD Megapolis, Gurugram requires a minimum of 5+ years of experience in Machine Learning engineering, Data Science, or similar roles focusing on applied data science and entity resolution. You will be expected to have a strong background in machine learning, data mining, and statistical analysis for model development, validation, implementation, and product integration. Proficiency in programming languages like Python or Scala, along with experience in working with data manipulation and analysis libraries such as Pandas, NumPy, and scikit-learn is essential. Additionally, experience with large-scale data processing frameworks like Spark, proficiency in SQL and database concepts, as well as a solid understanding of feature engineering, dimensionality reduction, and data preprocessing techniques are required. As a Senior AI Engineer, you should possess excellent problem-solving skills and the ability to devise creative solutions to complex data challenges. Strong communication skills are crucial for effective collaboration with cross-functional teams and explaining technical concepts to non-technical stakeholders. Attention to detail, ability to work independently, and a passion for staying updated with the latest advancements in the field of data science are desirable traits for this role. The ideal candidate for this position would hold a Masters or PhD in Computer Science, Data Science, Statistics, or a related quantitative field. They should have 5-10 years of industry experience in developing AI solutions, including machine learning and deep learning models. Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn are necessary. Furthermore, a solid understanding of machine learning algorithms, statistical analysis, data preprocessing techniques, and experience in working with large datasets to implement scalable AI solutions are required. Proficiency in data visualization and reporting tools, knowledge of cloud platforms like AWS, Azure, Google Cloud for AI deployment, familiarity with software development practices, and version control systems are all valued skills. Problem-solving abilities, creative thinking to overcome challenges, strong communication, and teamwork skills to collaborate effectively with cross-functional teams are essential for success in this role.,

We are looking for an experienced AI/ML Architect to spearhead the design, development, and deployment of cutting-edge AI and machine learning systems. As the ideal candidate, you should possess a strong technical background in Python and data science libraries, profound expertise in AI and ML algorithms, and hands-on experience in crafting scalable AI solutions. This role demands a blend of technical acumen, leadership skills, and innovative thinking to enhance our AI capabilities. Your responsibilities will include identifying, cleaning, and summarizing complex datasets from various sources, developing Python/PySpark scripts for data processing and transformation, and applying advanced machine learning techniques like Bayesian methods and deep learning algorithms. You will design and fine-tune machine learning models, build efficient data pipelines, and leverage distributed databases and frameworks for large-scale data processing. In addition, you will lead the design and architecture of AI systems, with a focus on Retrieval-Augmented Generation (RAG) techniques and large language models. Your qualifications should encompass 5-7 years of total experience with 2-3 years in AI/ML, proficiency in Python and data science libraries, hands-on experience with PySpark scripting and AWS services, strong knowledge of Bayesian methods and time series forecasting, and expertise in machine learning algorithms and deep learning frameworks. You should also have experience in structured, unstructured, and semi-structured data, advanced knowledge of distributed databases, and familiarity with RAG systems and large language models for AI outputs. Strong collaboration, leadership, and mentorship skills are essential. Preferred qualifications include experience with Spark MLlib, SciPy, StatsModels, SAS, and R, a proven track record in developing RAG systems, and the ability to innovate and apply the latest AI techniques to real-world business challenges. Join our team at TechAhead, a global digital transformation company known for AI-first product design thinking and bespoke development solutions. With over 14 years of experience and partnerships with Fortune 500 companies, we are committed to driving digital innovation and delivering excellence. At TechAhead, you will be part of a dynamic team that values continuous learning, growth, and crafting tailored solutions for our clients. Together, let's shape the future of digital innovation worldwide!,

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. About the Group: Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you'll also get to visit other locations in India and globe, so you'll need to go where this job takes you. In return, you'll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! Key Responsibilities: We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will: - Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). - Build intelligent systems that understand natural language queries and automate complex workflows. - Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. - Prototype and productize tools that leverage code understanding, profiling, and data analysis. - Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. - Work on prompt engineering, few-shot learning, and tool use orchestration What We're Looking For: Must-Have: - Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). - Candidates with 8+ years of proven experience. - Strong working knowledge of LangChain, RAG pipelines, and vector stores. - Strong understanding and experience in application of Deep Learning models like ANNs and transformers. - Experience in developing AI agents or copilots that interface with tools or external APIs. - Proficiency in Python; familiarity with software design patterns and clean code. - Practical experience in data preprocessing, feature engineering, and model evaluation. - Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. - Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. - Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have: - Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). - Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us - Work on cutting-edge AI R&D projects with real product impact! - Be part of a startup-like team within a global tech company. - Opportunity to lead innovation, publish internally, and drive industry-first solutions. - Competitive compensation, flexibility, and a collaborative culture. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! Transform the everyday,

You should have a Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. Additionally, you should possess 1-3 years of experience applying machine learning techniques to solve complex data problems. It is important to have a strong knowledge of machine learning algorithms and statistical models, including supervised and unsupervised learning methods. Experience with data preprocessing, feature engineering, and data visualization techniques is required. Proficiency in Python programming and experience working with big data tools such as Spark are essential for this role. Your role will require excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Strong problem-solving skills and attention to detail are also crucial. You should have experience with agile development methodologies and version control tools such as Git. Preferred qualifications for this position include experience working with natural language processing (NLP) techniques, familiarity with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of cloud computing platforms such as AWS, GCP, or Azure. If you meet these requirements and possess the desired qualifications, we encourage you to apply for this position.,

About the Role We are seeking a highly experienced and strategic AI/ML Architect to lead the design, development, and deployment of scalable artificial intelligence and machine learning solutions. As a core member of our technical leadership team, you will play a pivotal role in building intelligent systems that drive innovation and transform digital healthcare delivery across our AI Driven Telemedicine platform. Key Responsibilities Architect AI/ML systems that support key business goals, from real-time diagnosis and predictive analytics to natural language conversations and recommendation engines. Design and oversee machine learning pipelines, model training, validation, deployment, and performance monitoring. Guide selection of ML frameworks (e.g., TensorFlow, PyTorch) and ensure proper MLOps practices (CI/CD, model versioning, reproducibility, drift detection). Collaborate with cross-functional teams (data engineers, product managers, UI/UX, backend developers) to integrate AI into real-time applications and APIs. Build and maintain scalable AI infrastructure, including data ingestion, storage, and processing layers in cloud environments (AWS, GCP, or Azure). Lead research and experimentation on generative AI, NLP, computer vision, and deep learning techniques relevant to healthcare use cases. Define data strategies, governance, and model explainability/ethics frameworks to ensure compliance with regulatory standards like HIPAA. Mentor and lead a growing team of ML engineers and data scientists. Qualifications Must-Have: Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related field (PhD preferred). 7+ years of experience in AI/ML development, with at least 2 years in a lead or architect role. Proven experience designing and deploying production-grade ML systems at scale. Strong grasp of ML algorithms, deep learning, NLP, computer vision, and generative AI. Expertise in Python, ML libraries (TensorFlow, PyTorch, Scikit-learn), and ML Ops tools (MLflow, Kubeflow, SageMaker, etc.). Familiarity with data engineering pipelines (Airflow, Spark, Kafka) and cloud platforms. Strong communication and collaboration skills. Preferred: Experience with healthcare data standards (FHIR, HL7) and medical ontologies (SNOMED CT, ICD). Familiarity with AI ethics, fairness, and interpretability frameworks. Startup or early-stage product development experience.

As a global leader in assurance, tax, transaction, and advisory services, EY is dedicated to hiring and developing passionate professionals to contribute to building a better working world. At EY, you are offered a culture that values training, opportunities, and creative freedom, focusing not just on your current abilities but also on your potential for growth. Your career at EY is yours to shape, with limitless possibilities, motivating experiences, and continuous support to help you reach your professional best. EY has an exciting opportunity for the position of Senior Consultant in the National-Assurance-ASU - Audit - Standards and Methodologies team based in Kolkata. The Assurance team at EY aims to inspire confidence and trust in a complex world by protecting the public interest, promoting transparency, supporting investor confidence, and fostering talent for future business leaders. You will be involved in ensuring compliance with audit standards, providing clear perspectives to audit committees, and delivering critical information for stakeholders. Your responsibilities will include demonstrating technical excellence in audit analytics, foundational analytics, visualization, data extraction, risk-based analytics, and business understanding. Proficiency in databases, ETL, SQL, visualization tools like Tableau, Spotfire, or Qlikview, and experience in Machine Learning using R or Python is required. You should also have expertise in MS Office Suite, NLP, Web Scraping, Log Analytics, TensorFlow, AI, and Beautiful Soup. To qualify for this role, you should hold a qualification in BE/B.Tech, MSC in Computer Science/Statistics, or M.C.A, along with 5-7 years of relevant experience. EY is looking for individuals who can work collaboratively across various client departments, offer practical solutions to complex problems, and possess agility, curiosity, mindfulness, and positive energy. EY offers a dynamic work environment with a focus on skills development, learning, and career progression. As a part of EY, you will have access to personalized career journeys and resources to enhance your roles, skills, and opportunities. EY is dedicated to being an inclusive employer, ensuring the well-being and career growth of its employees while delivering excellent client service. If you meet the criteria mentioned above and are ready to contribute to building a better working world, apply now to join EY and be a part of a team committed to making a positive impact.,

Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, a global business line that combines market-leading expertise in strategy, technology, data science, and creative design to help CxOs envision and build what's next for their businesses. In this role, you will be responsible for architecting and implementing advanced generative AI models with a focus on applications like image and text generation, content creation, and synthetic data generation. You will also be developing, fine-tuning, and optimizing these models to ensure they meet performance, scalability, and business objectives. Applying solid data science principles, you will enhance AI/ML models using statistical analysis and machine learning techniques to improve accuracy and efficiency. Collaboration with data engineers, software developers, and product managers will be crucial to integrating generative AI models into products and services, aligning with business objectives. Staying updated with the latest advancements in AI/ML and generative AI, you will drive the adoption of new technologies and best practices within the team. Furthermore, you will be responsible for ensuring ethical AI implementation by designing and deploying AI models with ethical considerations, adhering to industry standards, and regulatory requirements. To be successful in this role, you should possess a bachelor's or master's degree in computer science, AI, Machine Learning, Data Science, or a related field, along with 5+ years of experience in AI/ML, particularly with generative AI models. Strong expertise in developing and deploying generative AI models, proficiency in Python, and experience with AI development libraries such as TensorFlow and PyTorch are required. Additionally, familiarity with advanced techniques like Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning will be beneficial. Domain knowledge in NLP or computer vision related to generative AI applications is also desired. At Capgemini, we value flexible work arrangements to support a healthy work-life balance, whether through remote work or flexible work hours. Our career growth programs and diverse professions are designed to help you explore a world of opportunities. You will have the opportunity to equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner with a strong heritage trusted by clients worldwide. Our team members in over 50 countries work together to accelerate the dual transition to a digital and sustainable world, creating tangible impact for enterprises and society. We offer end-to-end services and solutions leveraging strengths in AI, cloud, and data, combined with deep industry expertise and a strong partner ecosystem. Join us in unlocking the value of technology to address a wide range of business needs.,

As a Lead Data Scientist at DeepQuanty Artificial Intelligence Labs, you will be a key member of a dynamic team in the cutting-edge space of Artificial Intelligence and Machine Learning. With 3-8 years of experience as a lead in the Computer Vision area, your expertise will be pivotal in driving innovation and solving complex problems using Deep Learning techniques. Your role will involve collaborating closely with the Product Manager to translate product requirements into actionable plans. You will play a crucial part in product blueprint discussions and create detailed Product Technical specifications. Additionally, you will lead a team of Deep Learning Engineers, guiding them towards effective research and development outcomes. The ideal candidate for this position will have a proven track record in leveraging Deep Learning techniques to tackle challenges in Images and Text domains. You should possess the ability to identify and evaluate the most suitable algorithms for specific problems, as well as translate mathematical concepts into practical technical specifications. Proficiency in TensorFlow, PyTorch, and optimization of Deep Learning models for production deployment is essential. A solid understanding of GPUs/TPUs, along with hands-on coding expertise in Python and C++, is required. While a B.Tech / M.Tech from a reputed university is mandatory, it would be advantageous to have experience in solving Optical Character Recognition problems and familiarity with Computer Vision packages like OpenCV. This position offers a unique opportunity to work in a startup environment, where your expertise in computer vision, machine learning, robotics, and control systems will be put to the test in solving challenging product development tasks. Your role will be highly visible within our rapidly growing company, with opportunities for assuming greater responsibilities as you excel in your performance. If you are a detail-oriented individual with a passion for innovation, we invite you to join our team at DeepQuanty AI Labs.,

As a Lead Data Scientist/AI Product Owner at a reputed IT MNC in Gurgaon, your primary responsibility will be AI Model Development & Deployment, focusing on Computer Vision & Deep Learning. You will be leading the design and implementation of computer vision models for various tasks such as object detection, tracking, segmentation, and action recognition. Your expertise will include architectures like YOLO (v4, v5, v8), Vision Transformers, Mask R-CNN, Faster R-CNN, LSTMs, and Spatio-Temporal Models for image and video analysis. Additionally, you will contextualize the model for challenging situations such as poor detection through specific training on different scenarios. Another key aspect of your role will involve Reinforcement Learning & Model Explainability, where you will develop and integrate reinforcement learning models to optimize decision-making in dynamic AI environments. You will work with techniques such as Deep Q-Networks (DQN), Proximal Policy Optimization (PPO), A3C, SAC, and other RL methods. Furthermore, you will lead the development of a Scalable Data Model for AI Model Training Pipelines, overseeing the end-to-end data preparation process, including data gathering, annotation, and quality review before training. You will focus on enhancing the quality and volume of training data to continually improve model performance and have the ability to think through the data model for future enhancements. In terms of technical skills, you are expected to have a proven track record of leading and delivering AI products, hands-on expertise with advanced AI models, experience in managing and mentoring a small team of data scientists, proficiency in AI/ML frameworks like TensorFlow, PyTorch, and Keras, effective collaboration with cross-functional teams, and strong problem-solving skills in image and video processing. Nice-to-have skills include Experimentation, Iterative Improvement and Testing, Collaboration with Engineering and Product Teams, and Team Leadership. To qualify for this role, you should have at least 10 years of hands-on experience in AI with a solid background in object detection, image and video processing, and computer vision.,

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters We are seeking a highly experienced Computer Vision Architect with deep expertise in Python to design and lead the development of cutting-edge vision-based systems. The ideal candidate will architect scalable solutions that leverage advanced image and video processing, deep learning, and real-time inference. You will collaborate with cross-functional teams to deliver high-performance, production-grade computer vision platforms. Key Responsibilities: Architect and design end-to-end computer vision solutions for real-world applications (e.g., object detection, tracking, OCR, facial recognition, scene understanding, etc.) Lead R&D initiatives and prototype development using modern CV frameworks(OpenCV, PyTorch, TensorFlow, etc.) Optimize computer vision models for performance, scalability, and deployment on cloud, edge, or embedded systems Define architecture standards and best practices for Python-based CV pipelines Collaborate with product teams, data scientists, and ML engineers to translate business requirements into technical solutions Stay updated with the latest advancements in computer vision, deep learning, and AI Mentor junior developers and contribute to code reviews, design discussions, and technical documentation Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field (PhD is a plus) 8+ years of software development experience, with 5+ years in computer vision and deep learning Proficient in Python and libraries such as OpenCV, NumPy, scikit-image, Pillow Experience with deep learning frameworks like PyTorch, TensorFlow, or Keras Strong understanding of CNNs, object detection (YOLO, SSD, Faster R-CNN), semantic segmentation, and image classification Knowledge of MLOps, model deployment strategies (e.g., ONNX, TensorRT), and containerization (Docker/Kubernetes) Experience working with video analytics, image annotation tools, and large-scale dataset pipelines Familiarity with edge deployment (Jetson, Raspberry Pi, etc.) or cloud AI services(AWS SageMaker, Azure ML, GCP AI) Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

Company Description Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world leading MCUs, SoCs, Analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you. Renesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world. Job Description We are seeking an experienced Staff Software Engineer (AI). In this role, you will be part of the Pathfinding Studio within the Innovation Office. The team is exploring AI/machine learning techniques for various domain-specific problems related to engineering and robotics. Responsibilities This role requires you to research and develop AI/machine learning models. You will train, fine-tune, or perform in-context learning to develop state-of-the-art AI/machine learning-based models. Activities will involve the identification and preparation of data sets, maintenance of data sets, identifying, using, and developing appropriate model architecture, and delivering the model along with model usage documentation and examples. Additionally, you will work on developing AI models targeting robotics utilizing relevant virtual modeling frameworks. Minimum Qualifications Experience with multimodal machine learning model development based on structured and unstructured data targeting robotics. Experience with the end-to-end deep learning development life cycle. Ability to understand, analyze, test model behavior, and summarize model performance. Ability to work with AI/ML flow in CPU, embedded CPU, and GPU-based infrastructure in Windows and Linux environments. Ability to select and use appropriate models from the open-source environment in memory and compute-constrained infrastructure. Experience in training, fine-tuning, and in-context learning with multi-modal models and datasets using Python/C/C++. Knowledge of traditional and state-of-the-art machine learning techniques related to NLP, Video, Audio, Generative AI, Code understanding, and generation. Experience with virtual model development using IsaacSim and MuJoCo for robotics. Qualifications Education: Master’s degree in computer science, Electrical Engineering, Computer Engineering, or a similar field with 5 years of relevant experience in end-to-end machine learning development or a PhD with 3 years of relevant experience. Preferred Qualifications Hands-on expertise in deep learning model development and tuning. Experience with structured and unstructured data manipulation and management for machine learning pipelines. Experience with virtual and physical modeling environments targeting robotics. Experience in Python and ML frameworks (e.g., PyTorch, TensorFlow, ONNX, etc.). Experience in using open-source model development (e.g., Huggingface, Langchain, etc.). Experience with data processing and UI frameworks (e.g., Pandas, Plotly, SciPy, Flask, Streamlit, or similar). Ability to understand and explain state-of-the-art AI models. Ability to understand and summarize the hardware and software complexity of various AI models. Knowledge of applying AI algorithms in semiconductor design and verification. Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose ‘ To Make Our Lives Easier .’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘ To Make Our Lives Easier .’ At Renesas, You Can Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things. Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day. Are you ready to own your success and make your mark? Join Renesas. Let’s Shape the Future together. Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.

Job Title: Senior / Lead Data Scientist Locations: Hyderabad Notice Period : Immediate to 15 Days Skills : Data Science, Python, Regression, Classification, Google Cloud Platform Domain : CPG Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine Curious about the role? What your typical day would look like? As a Senior Data Scientist, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve: Lead and contribute to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems. Demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code. Experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential. Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes. Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly. Take ownership of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment. Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes. Leverage a profound understanding of mathematical and statistical principles to guide developing and validating advanced data science models. Stay abreast of industry trends, emerging technologies, and best practices in data science, bringing innovative ideas to the team and contributing to continuous improvement. What do we expect? 6-10 years of total DS and model development experience A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively. Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL Idea about other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world problems Encourage collaboration with various stakeholders and take complete ownership of deliverables. Adept understanding of various data science approaches, machine learning algorithms, and statistical methods. Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations Effective mentoring of a team with expertise in industry/domain/functional areas. You are important to us, let’s stay connected! Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry. Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Role Partner with stakeholders to understand data requirements Developing business intelligence solutions using Agile software development methodologies Develop tools and models such as segmentation, dashboards, data visualizations, decision aids and business case analysis to support the organization and leadership Producing and managing the delivery of activity and value analytics to external stakeholders and clients Team members will typically use business intelligence, data visualization, and query, analytic and statistical software to build solutions, perform analysis and interpret data Work on predominately descriptive and regression-based analytics and tend to leverage subject matter expert views in the design of their analytics and algorithms Primary Responsibilities Management and manipulation of mostly structured data Creating business intelligence solutions using Agile methodologies to support analysis of data and subsequent decision making Conducting analysis, performing normalization operations and assuring data quality Creating specifications to bring data into a common structure Creating product specifications and reporting models Analytical - Synthesizes complex or diverse information; Collects and researches data; Uses intuition and experience to complement data; design workflows and procedures Establish, refine and integrate development and test environment tools and software as needed Identify production and non-production application issues Provide technical support and consultation on database and infrastructure questions Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s Degree in MIS, Statistics, Mathematics, Computer Science, Business or a related field 5+ years of experience in data preparation, data management, data visualization and data analysis 5+ years of experience in DWBI domain and solid understanding of DWBI concepts 5+ years of experience in PowerBI 2+ years of experience in Python 2+ years of experience working on machine learning algorithms and frameworks 2+ years of experience in natural language processing 2+ years of experience in applying AI to practical and comprehensive technology solutions Hands-on experience in DWBI domain Hands-on experience in Python Hands-on experience with dealing global customers to gather requirements and translate them into solutions using the necessary skills Extensive on-the job experience working with relational database management system (like Microsoft SQL Server, Oracle) Experience in writing TSQL statements, stored procedures and views using industry best practices for security and efficiency Experience in creating data reports, dashboards, scorecards and Metrics that matter most with extensive use of PowerBI Experience in performing data analysis and interpreting data/business insights Experience developing actionable insights and presenting recommendations for use across the internal/external stakeholder and leadership Experience in ETL and hands-on experience in using ETL tools like SSIS Experience and understanding on Database Performance Tuning, Database Management, Requirements Analysis, Software Development Fundamentals Familiar with Software Development Life Cycle Proven excellent Problem Solving, Documentation Skills, Written & Verbal Communication skills Proven excellent Data Maintenance and promoting Process Improvement skills Proven well-developed written and verbal communications and presentation skills Proven to be open for Development and Support Proven ability to write user and technical documentation Proven ability to conduct analysis to ensure quality of data at various stages of its evolution Proven ability to solve complex problems and develop innovative solutions Proven ability to complete projects that require data mining, analysis, and presentation Proven ability to create, test and execute SQL language code Proven ability to work independently with minimum support/mentoring Proven ability to learn new technology Preferred Qualifications Experience in the health care industry Hands-on experience on ETL processes using SSIS, Netezza, Teradata etc. Experience with ML, deep learning, TensorFlow, NLP Experience in Snowflake Experience developing and maintaining data preparation and validation routines to support data mining and creating complex data mining algorithms General This is a high visibility role requiring high energy due to the constant interaction with the customers. It’s good to have a candidate who has the below abilities: Self-driven, ability to work independently and facilitate change Ability to work in a fast-paced, technical, cross-functional environment Excellent Visual design sense regarding clear and accurate presentation of data Ability to work on projects from inception to completion Excellent critical thinking and analytical skills Ability to maintain understanding of numerous client processes Possess excellent time management and prioritization skills in order to meet multiple deadlines Comfortable working in a high-paced/high production area Desire and ability to learn new skills, systems and processes Anticipate customer needs and proactively develop solutions to meet them At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work.SM Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Description We are seeking a talented Applied Scientist to join our MENA Science team and drive the development of state-of-the-art machine learning solutions for our customers in the MENA region. In this role, you will leverage state-of-the-art machine learning and data science techniques to create solutions that directly address critical customer problems. Your work will directly impact the customer experience and profitability of our MENA businesses, helping us enhance catalog quality, improve machine translation, prevent abuse and fraud etc. Key job responsibilities Invent, implement, and deploy machine learning algorithms and models to solve complex, real-world problems for our MENA customers. Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation. Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics. Tackle a diverse range of challenges, such as improving catalog quality through large language models, enhancing machine translation, developing abuse prevention systems etc. Staying up-to-date with the latest advancements in machine learning and data science, and proactively identifying opportunities to apply these techniques to drive business impact. Contribute to the broader scientific community by publishing your work at top-tier conferences and journals. A day in the life Diving deep in to ambiguous and complex business problems and translating them to ML problem statements. Applying relevant science solutions for the ML problems. Staying abreast with evolving science landscape and applying the state-of-the-art. About The Team MENA tech is a 200+ people tech organization spread across Jordan, UAE, India and Seattle, building amazing solutions for customers in the region. We deploy in MENA first but build for the world Basic Qualifications Experience building machine learning models or developing algorithms for business application PhD or Master's degree or Bachelorshi in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience. Proven track record of designing, implementing, and deploying successful machine learning solutions for real-world business problems. Expertise in areas such as natural language processing, computer vision, deep learning, and other cutting-edge ML techniques. programming skills in Python, R, or other relevant languages, and experience with popular ML frameworks like TensorFlow, PyTorch, or MXNet. communication and collaboration skills to effectively work with cross-functional teams. Preferred Qualifications Proficient in any one of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ Job ID: A3046719

Company Description Quantanite is a business process outsourcing (BPO) and customer experience (CX) solutions company that helps fast-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. We’re an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed up with exceptional results. We have big dreams and are constantly looking for new colleagues to join us who share our values, passion, and appreciation for diversity Job Description About the Role We are seeking a AI Engineer to join our team and play a critical role in the design and develop a cognitive data solution. The broader vision is to develop an AI-based platform that will crawl through unstructured data sources and extract meaningful information. The ideal candidate will possess full-stack development skills along with a strong understanding of database structures, SQL queries, ETL tools and Azure data technologies. Core Responsibilities Lead the design, development, and implementation of AI algorithms and models to enhance payment and CX product offerings. Test agent interactions, document behaviors, and help improve reliability and performance. Assist with agent integration, system testing, and deployment. Develop and deploy AI models (including deep learning models) using TensorFlow, PyTorch, and other ML/DL frameworks. Design and maintain the full AI data pipeline, including data crawling, ETL, and building fact tables. Apply statistical and programming expertise (NumPy, Pandas, etc.) for data analysis and modeling. Optimize AI models for on-premise infrastructure with a focus on performance and security compliance. Stay abreast of the latest trends in AI and contribute to continuous improvements. Mentor junior AI/ML engineers and contribute to documentation and process standardization. Contribute to the broader AI agent ecosystem and cross-functional collaboration. Required Experience Strong Python programming skills and experience with full-stack development. Experience with large language models (LLMs) like ChatGPT, Claude, etc. 6 months to 1 year as AI engineer. Solid understanding of AI/ML concepts including NLP, ML algorithms, deep learning, image/speech recognition. Experience with Azure Data Factory, Databricks/Spark, Synapse/SQL DW, and Data Lake Storage. Familiarity with data pipelines, APIs, data exchange mechanisms, and RDBMS/NoSQL databases. Ability to write clear and thorough documentation. Enthusiasm for emerging AI technologies and open-source collaboration. Nice To Have Experience with agent frameworks (LangChain, AutoGPT, CrewAI, etc.) Basic DevOps knowledge and experience in scalable deployments. Experience with API development and RESTful services. Familiarity with vector databases (e.g., FAISS, ChromaDB, Pinecone, Weaviate). Prior contributions to open-source AI projects or communities. Additional Information Benefits At Quantanite, we ask a lot of our associates, which is why we give so much in return. In addition to your compensation, our perks include: Dress: Wear anything you like to the office. We want you to feel as comfortable as when working from home. Employee Engagement: Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements. Professional development: We love giving back and ensure you have opportunities to grow with us and even travel on occasion. Events: Regular team and organisation-wide get-togethers and events. Value orientation: Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together. Future development: At Quantanite, you’ll have a personal development plan to help you improve in the areas you’re looking to develop over the coming years. Your manager will dedicate time and resources to supporting you in getting you to the next level. You’ll also have the opportunity to progress internally. As a fast-growing organization, our teams are growing, and you’ll have the chance to take on more responsibility over time. So, if you’re looking for a career full of purpose and potential, we’d love to hear from you!

Job Summary: This is a critical technical architectural role for an experienced leader who will be instrumental in enhancing our product suite by designing and integrating advanced AI and blockchain capabilities into our existing Java Spring Boot microservice-based payment platform. The ideal candidate will possess a deep, hands-on understanding of all major payment rails, a proven track record in architecting and implementing complex, high-performance financial systems, and an expert-level grasp of AI/Machine Learning and blockchain technologies and their practical applications in FinTech. This individual will be a key driver in shaping the future of our products, ensuring we remain competitive, secure, and innovative in the rapidly evolving payments landscape. Key Responsibilities: AI/Machine Learning Design & Implementation: Lead the design, development, and deployment of sophisticated AI/ML models for critical FinTech applications, including: Implementing real-time, adaptive machine learning models for advanced fraud detection and prevention across diverse payment channels. Utilizing AI for intelligent payment orchestration and routing, optimizing for success rates, cost efficiency, and performance. Developing AI-driven predictive analytics for comprehensive risk management and anomaly detection. Exploring and integrating AI solutions for enhanced customer experience and operational efficiency. Blockchain Solution Architecture: Architect, design, and oversee the implementation of secure, scalable, and high-performance blockchain solutions that enhance existing payment functionalities and enable new services (e.g., cross-border payments, digital asset management, secure data sharing, tokenization). Payment Rail Mastery: Serve as the foremost subject matter expert on all major payment rails (e.g., ACH, Fedwire, RTP, SWIFT, SEPA, faster payments, card networks, emerging digital currencies), understanding their technical intricacies and ensuring seamless, optimized integration within our microservices platform. ISO 20022 & Regulatory Alignment: Collaborate closely with the ISO 20022 middleware team to ensure that all AI and blockchain integrations adhere to evolving ISO MTMX SWIFT mandates and other critical regulatory requirements (e.g., AML, KYC, GDPR). Technical Leadership & Mentorship: Provide strong technical leadership, architectural guidance, and mentorship to development teams, fostering a culture of innovation, technical excellence, and continuous learning in AI, blockchain, and payment technologies. System Design & Optimization: Lead the architectural design and detailed technical specifications for new features and product enhancements within our microservices architecture, with a relentless focus on scalability, security, reliability, performance, and the explainability of AI models. Research & Development: Spearhead research and development initiatives, including hands-on proof-of-concept projects, to explore nascent AI and blockchain technologies and assess their practical applicability to our product roadmap. Data Strategy & Governance: Partner with data engineering and analytics teams to ensure robust data quality, availability, and governance, crucial for effective AI model training, deployment, and ongoing performance, leveraging our diverse data stores. Cross-Functional Collaboration: Work collaboratively with product management, business development, and other engineering teams to translate complex business requirements into elegant, high-impact technical solutions. Industry Vigilance: Continuously monitor industry trends, technological advancements, and regulatory changes across payments, AI, and blockchain. Required Skills and Qualifications: 10+ years of progressive experience in software engineering, solution architecture, or technical leadership roles within the FinTech or payments industry. Deep and demonstrable understanding of various payment rails (e.g., ACH, Fedwire, RTP, SWIFT, SEPA, credit/debit card networks, real-time payments, cross-border payments, ISO 20022) and their underlying technical specifications. Expert-level knowledge and extensive hands-on experience with AI/Machine Learning concepts and frameworks, including: Practical application of machine learning algorithms (supervised, unsupervised, reinforcement learning). Proficiency in Deep Learning and Neural Networks. Experience with Natural Language Processing (NLP) for financial message analysis. Strong familiarity with leading AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Demonstrated experience with MLOps principles and deploying AI models into production environments at scale. Expert-level knowledge and hands-on experience with blockchain technologies and Distributed Ledger Technologies (DLT), including: Practical experience with platforms suchs as Hyperledger Fabric, Corda, Ethereum, or similar enterprise-grade DLTs. Proficiency in smart contract development (e.g., Solidity, Go, Java, Rust). Deep understanding of consensus mechanisms, cryptographic principles, and blockchain security best practices. Familiarity with tokenomics, digital assets, and central bank digital currencies (CBDCs). Proven architectural design skills for building highly scalable, resilient, secure, and performant distributed systems, specifically within a microservices paradigm. Proficiency in multiple core programming languages critical for FinTech, AI, and Blockchain development, with a strong emphasis on: Java: Extensive experience with Spring Boot for enterprise-grade, high-throughput financial systems and backend microservices. Python: Essential for AI/ML development, data science, and backend microservices. Go (Golang): Highly desirable for high-performance, concurrent systems, and blockchain infrastructure components. Solidity/Rust: For direct smart contract development on relevant blockchain platforms. Additional desirable: C++ for performance-critical components. Extensive experience with modern architectural patterns: microservices architecture, robust APIs (REST, gRPC), and event-driven architectures. Strong expertise with database technologies, specifically MongoDB and PostgreSQL, including schema design, optimization, and scaling strategies for high-volume financial data. Hands-on experience with major cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Exceptional problem-solving, analytical, and critical thinking skills. Strong communication and interpersonal skills, with the ability to articulate complex technical concepts clearly and persuasively to both technical and non-technical stakeholders. Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, or a related quantitative technical field. Preferred Qualifications: Prior experience in a high-growth FinTech startup or a fast-paced, agile development environment. Active contributions to open-source AI or blockchain projects, or participation in relevant FinTech communities. Experience with big data technologies (e.g., Apache Kafka, Spark). Certifications in cloud architecture, AI/ML, or blockchain platforms.

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 30th July 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 30th July 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

Roboyo is not a typical technology consultancy We have been at the forefront of Business Process Automation since the sector began, less than a decade ago, We started as pioneers Today, we are the worlds largest specialist Intelligent Automation company and remain at the cutting edge Our growth, success, and contribution to the success of our clients are a result of one thing our people, We are united by our purpose, to take whats possible to the next level for our clients, our business, and for each other, At Roboyo, you will experience a fun and innovative work environment with a dynamic and ambitious team passionate about technology and automation, AI Engineer (Generative AI / Agentic AI) Mid-Level Role Overview: The AI Engineer (Gen AI / Agentic AI) will work on building AI solutions using Generative AI models (like LLMs) and agent-based frameworks The role requires strong Python skills, cloud technology experience (Azure, AWS, GCP), and a hands-on approach to building intelligent applications like chatbots and AI agents The position is hybrid, working on client projects and internal prototypes, Key Responsibilities: Develop AI Solutions: Design and test AI-driven applications using Generative AI models ( e-g , GPT-based systems), Cloud Deployment: Leverage cloud services (Azure, AWS, GCP) to deploy models and AI solutions, ensuring scalability, Collaboration: Work with solution architects and data engineers to align AI solutions with client needs Participate in agile development cycles, Internal Innovation: Contribute to Roboyos internal AI prototypes and knowledge sharing, Required Qualifications: 3-6 years in software development with AI/ML experience, Strong Python skills and familiarity with AI libraries ( e-g , TensorFlow, PyTorch), Experience deploying AI solutions on cloud platforms (Azure, AWS, GCP), Hands-on knowledge of Generative AI models (LLMs, GPT), Good data handling and integration skills, Preferred Qualifications: Exposure to automation platforms (UiPath, Power Platform), Familiarity with web development, APIs, or conversational AI (Rasa, Microsoft Bot Framework), AI certifications are a plus, We are an equal opportunity employer and value diversity at our company We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, Privacy Notice: By applying, you consent to the processing of your personal data for recruitment purposes in line with our Privacy Policy: https://roboyo global/data-privacy/ Show

Job Posting TitleSR. DATA SCIENTIST Band/Level5-2-C Education ExperienceBachelors Degree (High School +4 years) Employment Experience5-7 years At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Solves complex problems and help stakeholders make data- driven decisions by leveraging quantitative methods, such as machine learning. It often involves synthesizing large volume of information and extracting signals from data in a programmatic way. Roles & Responsibilities Key Responsibilities Design, train, and evaluate supervised & unsupervised models (regression, classification, clustering, uplift). Apply automated hyperparameter optimization (Optuna, HyperOpt) and interpretability techniques (SHAP, LIME). Perform deep exploratory data analysis (EDA) to uncover patterns & anomalies. Engineer predictive features from structured, semistructured, and unstructured data; manage feature stores (Feast). Ensure data quality through rigorous validation and automated checks. Build hierarchical, intermittent, and multiseasonal forecasts for thousands of SKUs. Implement traditional (ARIMA, ETS, Prophet) and deeplearning (RNN/LSTM, TemporalFusion Transformer) approaches. Reconcile forecasts across product/category hierarchies; quantify accuracy (MAPE, WAPE) and bias. Establish model tracking & registry (MLflow, SageMaker Model Registry). Develop CI/CD pipelines for automated retraining, validation, and deployment (Airflow, Kubeflow, GitHub Actions). Monitor data & concept drift; trigger retuning or rollback as needed. Design and analyze A/B tests, causal inference studies, and Bayesian experiments. Provide statisticallygrounded insights and recommendations to stakeholders. Translate business objectives into datadriven solutions; present findings to exec & nontech audiences. Mentor junior data scientists, review code/notebooks, and champion best practices. Desired Candidate Minimum Qualifications M.S. in Statistics (preferred) or related field such as Applied Mathematics, Computer Science, Data Science. 5+ years building and deploying ML models in production. Expertlevel proficiency in Python (Pandas, NumPy, SciPy, scikitlearn), SQL, and Git. Demonstrated success delivering largescale demandforecasting or timeseries solutions. Handson experience with MLOps tools (MLflow, Kubeflow, SageMaker, Airflow) for model tracking and automated retraining. Solid grounding in statistical inference, hypothesis testing, and experimental design. Preferred / NicetoHave Experience in supplychain, retail, or manufacturing domains with highgranularity SKU data. Familiarity with distributed data frameworks (Spark, Dask) and cloud data warehouses (BigQuery, Snowflake). Knowledge of deeplearning libraries (PyTorch, TensorFlow) and probabilistic programming (PyMC, Stan). Strong datavisualization skills (Plotly, Dash, Tableau) for storytelling and insight communication. Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more atwww.te.com and onLinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). WHAT TE CONNECTIVITY OFFERS: We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs / Charity Events IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com . If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities. Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.