1125 Computer Vision Jobs - Page 42

ML Engineer Position - ML - Engineer Experience - 7+ yrs Client Name - Honeywell International Ltd Payroll Company - Bramha Tech CTC - As per industry norms Job Location - Pune Notice Period - Immediate/ serving Notice Objectives of this role • Design and develop efficient computer vision applications for security and surveillance domain. • Develop computer vision applications and algorithms for deploying on low power embedded devices. • Collaborate with firmware engineers, front-end engineers, QA Engineers and architects on production systems and applications. • Identify differences in data distribution that could potentially affect model performance in real world applications • Ensure algorithms generate accurate predictions. • Stay up to date with developments in the machine learning industry. • Do Data versioning as well as model versioning of the collected data and developed models. Skills and qualifications • Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms. • Familiarity with deploying deep learning models on low power embedded devices. • Good knowledge of programming with C and C++ is must. • Proven record of working with AI Accelerators, NPU and quantization frameworks like OpenVINO or Neuralmagic. • In-depth knowledge of TF or PyTorch. • Familiarity of ArmNN, Kendryte NNcase, Maix Sipeed or RKNN toolkits. • Good knowledge of version control systems like Git, Azure Repos. • Familiarity with data structures, data modeling, and software architecture. • Impeccable analytical and problem-solving skills Preferred qualifications • Proven experience as a machine learning engineer or similar role • Bachelors degree (or equivalent) in computer science, mathematics, or related field

Senior Data Scientist - NAV02EG Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting May 8, 2025 Unposting Date Jun 7, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0 Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. Were bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? Its our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If youre naturally curious, open-minded, and a self-motivated learner - one whos ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Major Accountabilities of PositionAI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise) 1. Hands-on programming and architecture capabilities in Python. 2. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. 3. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) 4. Understanding of Nvidia Enterprise NEMO Suite. 5. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. 6. Experience in AI solution development with external SaaS products like Azure OCR 7. Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn 8. Hands-on knowledge of API frameworks. 9. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. 11. Hands on experience in RDBMS, NoSQL, big data stores likeElastic, Cassandra. 12. Experience with open source software 13. Experience using the cognitive APIs machine learning studios on cloud. 14. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) 15. Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. 16. Understanding of complete AI/ML project life cycle 17.

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. - Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

About The Role Role Purpose The purpose of the role is to resolve, maintain and manage client’s software/ hardware/ network based on the service requests raised from the end-user as per the defined SLA’s ensuring client satisfaction ? Do Ensure timely response of all the tickets raised by the client end user Service requests solutioning by maintaining quality parameters Act as a custodian of client’s network/ server/ system/ storage/ platform/ infrastructure and other equipment’s to keep track of each of their proper functioning and upkeep Keep a check on the number of tickets raised (dial home/ email/ chat/ IMS), ensuring right solutioning as per the defined resolution timeframe Perform root cause analysis of the tickets raised and create an action plan to resolve the problem to ensure right client satisfaction Provide an acceptance and immediate resolution to the high priority tickets/ service Installing and configuring software/ hardware requirements based on service requests 100% adherence to timeliness as per the priority of each issue, to manage client expectations and ensure zero escalations Provide application/ user access as per client requirements and requests to ensure timely solutioning Track all the tickets from acceptance to resolution stage as per the resolution time defined by the customer Maintain timely backup of important data/ logs and management resources to ensure the solution is of acceptable quality to maintain client satisfaction Coordinate with on-site team for complex problem resolution and ensure timely client servicing Review the log which Chat BOTS gather and ensure all the service requests/ issues are resolved in a timely manner ? Deliver NoPerformance ParameterMeasure1. 100% adherence to SLA/ timelines Multiple cases of red time Zero customer escalation Client appreciation emails ? ? Mandatory Skills: Desktop Imaging. Experience3-5 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. ? Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options 3. Team Management a. Talent Management i. Support on boarding and training to enhance capability & effectiveness ? Deliver No. Performance Parameter Measure 1. Demand generation # PoC supported 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management # Skills acquired ? ? Mandatory Skills: AI Cognitive. Experience3-5 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed client’s expectations and add value to business. ? Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per product’s requirements Review the used case and see the latest AI that can be used in product’s development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in product’s demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team ? Deliver No.Performance ParameterMeasure1.Continuous technical project management & deliveryAdoption of new technologies, IP creation, MVP creation, Number of patents filed, Research papers created2.Client CentricityNo. of automation done, On-Time Delivery, cost of delivery, optimal resource allocation3.Capability Building & Team Management% trained on new age skills, Team attrition %, Number of webinars conducted (internal/external) ? ? Mandatory Skills: AI Cognitive. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About PhonePe Group: PhonePe is Indias leading digital payments company with 50 crore (500 Million) registered users and 3.7 crore (37 Million) merchants covering over 99% of the postal codes across India. On the back of its leadership in digital payments, PhonePe has expanded into financial services (Insurance, Mutual Funds, Stock Broking, and Lending) as well as adjacent tech-enabled businesses such as Pincode for hyperlocal shopping and Indus App Store which is India's first localized App Store. The PhonePe Group is a portfolio of businesses aligned with the company's vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services. Culture At PhonePe, we take extra care to make sure you give your best at work, Everyday! And creating the right environment for you is just one of the things we do. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. Being enthusiastic about tech is a big part of being at PhonePe. If you like building technology that impacts millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us! About The Role We are seeking a motivated and skilled Data Scientist with 3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in machine learning, with a focus on implementing algorithms at scale. Additionally, knowledge of computer vision and natural language processing will be ideal Key Responsibilities: - Develop and implement machine learning models, offline batch models as well as real time online and edge compute models - Analyze complex datasets and extract meaningful insights to drive business decisions - Collaborate with cross-functional teams to identify and solve business problems using data-driven approaches - Communicate findings and recommendations to stakeholders effectively Required Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field - 3+ years of experience in a Data Scientist role - Strong proficiency in Python and SQL - Solid understanding of machine learning algorithms and statistical modeling techniques - Knowledge of Natural Language Processing (NLP) and Computer Vision (CV) concepts and algorithms - Hands-on experience implementing and deploying machine learning algorithms - Experience with data visualization tools and techniques - Strong analytical and problem-solving skills - Excellent communication skills, both written and verbal Preferred Qualifications: - Experience with PySpark and other big data processing frameworks - Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) Technical Skills: - Programming LanguagesPython (required), SQL (required), Java (basic knowledge preferred)- Machine LearningStrong foundation in traditional ML algorithms, and a working knowledge of NLP and Computer Vision- Big DataDeep knowledge of PySpark- Data Storage and RetrievalFamiliarity with databases/mlflow preferred- MathematicsStrong background in statistics, linear algebra, and probability theory- Version ControlGit Soft Skills: - Excellent communication skills to facilitate interactions with stakeholders- Ability to explain complex technical concepts to non-technical audiences- Strong problem-solving and analytical thinking- Self-motivated and able to work independently as well as in a team environment- Curiosity and eagerness to learn new technologies and methodologiesWe're looking for a motivated individual who is passionate about data science and eager to take on challenging tasks. If you thrive in a fast-paced environment and are excited about leveraging cutting-edge technologies in machine learning to solve real-world problems, we encourage you to apply! PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe .

About The Role Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. About The Role - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgeminis activity. Is able to manage difficult and complex situations calmly and professionally. Considers the bigger picture when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable, more inclusive world About The Role Understanding of Generative AI (LLMs, diffusion models, transformers, NLP, multimodal AI, etc.). Knowledge of Agentic AI principles, including autonomous agents, reinforcement learning, prompt engineering, and AI-driven decision-making. Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, OpenAI APIs, Hugging Face, etc. Understanding of AI infrastructure (cloud platforms like AWS, Azure, GCP) and MLOps best practices. Primary Skills Generative AI NLP Machine Learning Secondary Skills Python PySpark R

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. - Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

Role –Senior Gen AI Engineer Location: PAN India Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Looking for challenging role?If you really want to make a difference - make it with us Can we energize society and fight climate change at the same time? At Siemens Energy, we can. Our technology is key, but our people make the difference. Brilliant minds innovate. They connect, create, and keep us on track towards changing the worlds energy systems. Their spirit fuels our mission. Our culture is defined by caring, agile, respectful, and accountable individuals. We value excellence of any kind. Sounds like you? We are seeking a highly skilled and driven Senior AI Engineer to join our team as a founding member, developing the critical data and AI infrastructure for training foundation models for power grid applications. You will be instrumental in building and optimizing the end-to-end systems, data pipelines, and training processes that will power our AI research. Working closely with research scientists, you will translate cutting-edge research into robust, scalable, and efficient implementations, enabling the rapid development and deployment of transformational AI solutions. This role requires deep hands-on expertise in distributed training, data engineering, MLOps, a proven track record of building scalable AI infrastructure. Your new role- challenging and future- oriented Design, build, and rigorously optimize everything necessary for large-scale training, fine-tuning and/or inference with different model architectures. Includes the complete stack from dataloading to distributed training to inference; to maximize the MFU (Model Flop Utilization) on the compute cluster. Collaborate closely and proactively with research scientists, translating research models and algorithms into high-performance, production-ready code and infrastructure. Ability to implement, integrate & test latest advancements from research publications or open-source code. Relentlessly profile and resolve training performance bottlenecks, optimizing every layer of the training stack from data loading to model inference for speed and efficiency. Contribute to technology evaluations and selection of hardware, software, and cloud services that will define our AI infrastructure platform. Experience with MLOps frameworks (MLFlow, WnB, etc) to implement best practices across the model lifecycle- development, training, validation, and monitoring- ensuring reproducibility, reliability, and continuous improvement. Create thorough documentation for infrastructure, data pipelines, and training procedures, ensuring maintainability and knowledge transfer within the growing AI lab. Stay at the forefront of advancements in large-scale training strategies and data engineering and proactively driving improvements and innovation in our workflows and infrastructure. High-agency individual demonstrating initiative, problem-solving, and a commitment to delivering robust and scalable solutions for rapid prototyping and turnaround. We dont need superheroes, just super minds Bachelor's or masters degree in computer science, Engineering, or a related technical field. 5+ years of hands-on experience in a role specifically building and optimizing infrastructure for large-scale machine learning systems Deep practical expertise with AI frameworks (PyTorch, Jax, Pytorch Lightning, etc). Hands-on experience with large-scale multi-node GPU training, and other optimization strategies for developing large foundation models, across various model architectures. Ability to scale solutions involving large datasets and complex models on distributed compute infrastructure. Excellent problem-solving, debugging, and performance optimization skills, with a data-driven approach to identifying and resolving technical challenges. Strong communication and teamwork skills, with a collaborative approach to working with research scientists and other engineers. Experience with MLOps best practices for model tracking, evaluation and deployment. Desired skills Public GitHub profile demonstrating a track record of open-source contributions to relevant projects in data engineering or deep learning infrastructure is a BIG PLUS. Experience with performance monitoring and profiling tools for distributed training and data pipelines. Experience writing CUDA/Triton/CUTLASS kernels.

Increasing digitalization and flexibility of production processes presents outstanding potential. In Digital Industries, we enable our customers to unlock their full potential and drive digital transformation with a unique portfolio of automation and digitalization technologies. From hardware to software to services, we"™ve got quite a lot to offer. How about you? We blur the boundaries between industry domains by integrating the virtual and physical, hardware and software, design and manufacturing worlds. With the rapid pace of innovation, digitalization is no longer tomorrow"™s idea. We take what the future promises tomorrow and make it real for our customers today. Join us - where your career meets tomorrow. 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 efficiently. 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. Questa Simulation Product It is a core R&D team working on multiple verticals of Simulation. A very energetic and enthusiastic team of motivated individuals. Responsibilities: We are looking for a highly motivated software engineer to work in the QuestaSim R&D team of the Siemens EDA Development responsibilities will include core algorithmic advances and software design/architecture. You will collaborate with a senior group of software engineers contributing to final production level quality of new components and algorithms and to create new engines and support existent code. Self-motivation, self-discipline and the ability to set personal goals and work consistently towards them in a dynamic environment will go far towards chipping in to your success. We Are Not Looking for Superheroes, Just Super Minds! We"™ve got quite a lot to offer. How about you? Required Experience: We seek a graduate with at least 2 years of relevant working experience with B.Tech or M.Tech in CSE/EE/ECE from a reputed engineering college. Proficiency of C/C++, algorithm and data structures. Compiler Concepts and Optimizations. Experience with UNIX and / or LINUX platforms is vital. Basic Digital Electronics Concepts We value your knowledge of Verilog, System Verilog, VHDL Experience in parallel algorithms, job distribution. Understanding of ML/AI algorithms and their implementation in data-driven tasks Exposure to Simulation or Formal based verification methodologies would be a plus! The person should be self-motivated and can work independently. Should be able to guide others, towards project completion. Good problem solving and analytical skills 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! We offer a comprehensive reward package which includes a competitive basic salary, variable pay, other benefits, pension, healthcare and actively support working from home. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. #LI-EDA #LI-Hybrid

Position Summary: A Solution Engineer specializing in power system simulation using AI designs advanced solutions to model, analyze, and optimize energy systems. They leverage AI and machine learning to simulate grid behavior, predict energy demand, and enhance system reliability, efficiency, and sustainability. How You"™ll Make an Impact (responsibilities of role) Design AI-driven simulation models for power systems (grid operations, load forecasting, renewable integration). Implement machine learning algorithms for predictive maintenance and fault detection. Integrate AI tools with power system software (e.g., PSS/E, DIgSILENT PowerFactory). Optimize energy distribution and grid performance using real-time data and AI analytics. Ensure compliance with industry standards and cybersecurity protocols. What You Bring (required qualifications and skills) EducationBachelor"™s/Master"™s in Electrical Engineering, Computer Science, or related fields. CertificationsAI/ML certifications (e.g., TensorFlow Developer), energy-specific certifications. Experience5+ years in power systems and AI-driven simulation projects. Expertise in power system simulation tools (PSS/E, PowerFactory, MATLAB/Simulink). Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). Knowledge of energy systems, grid modeling, and renewable energy integration. Strong problem-solving and communication skills. Excellent communication skills, with the ability to convey complex concepts to non-technical stakeholders. The ability to work collaboratively in a dynamic team environment across the globe.

Position Summary: An AI Engineer designs, develops, and deploys artificial intelligence and machine learning models to solve complex problems and enhance business processes. They work on building intelligent systems, integrating AI into applications, and optimizing models for performance and scalability. How You"™ll Make an Impact (responsibilities of role) Develop and deploy AI/ML models for tasks like prediction, classification, and optimization. Design and implement data pipelines for training and testing AI models. Fine-tune pre-trained models (e.g., GPT, BERT) and build custom algorithms. Integrate AI solutions into applications using APIs and frameworks. Monitor and optimize model performance, scalability, and accuracy. Collaborate with data scientists, software engineers, and business teams. What You Bring (required qualifications and skills) EducationBachelor"™s/Master"™s in Computer Science, AI, Data Science, or related fields. CertificationsAI/ML certifications (e.g., TensorFlow Developer, AWS Machine Learning). Experience3+ years in AI/ML development and deployment Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). Strong programming skills (Python, R, Java, or C++). Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of cloud platforms (AWS, Azure, Google Cloud) and MLOps tools. Familiarity with NLP, computer vision, or reinforcement learning. Excellent communication skills, with the ability to convey complex concepts to non-technical stakeholders. The ability to work collaboratively in a dynamic team environment across the globe.

We aspire to be world-leader in innovative telecom and security solutions by offering cutting-edge, high-performance telecom and security solutions to business customers. Our Mission is simple. To prove that Indian engineers can design, develop, and manufacture world-class technology products for customers across the world, right from India. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! Why work at Matrix Matrix fully integrates software and hardware across its products. Engineers here collaborate more effectively to create solutions that solve real problems and make an impact. We are responsible for every nut, bolt, and line of code in our products! As an engineer, your involvement will be critical in the entire lifecycle of a product - right from ideation-development-production-deployment. Get to feel the sense of accomplishment that comes with creating something that solves a real and pressing problem and is used by scores of customers. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! About The Role Role SME- IVA Function Software Development - IVA / Computer Vision Work Location Vadodara, Gujarat Who are you You are a dynamic and solution driven Software Engineer specializing in Intelligent Video Analytics, with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products You will remain rooted as an engineer, a designer, and a technologist while leading a team.You take complete ownership of timely product delivery with impeccable software quality. You have the ability to navigate the teams through fast changing market needs. You possess strong people leadership skills in mentoring the young engineers Experience 4+ Years Qualification B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE)or related field Technical Skills Required : Hands on with C++, OOPS, Computer Vision, OpenCV, TensorFlow, Web Orientation, Web Development, OpenCV, Image Processing. Hands-on experience of Deep Learning/Computer Vision projects. Working exposure with Neural networks, CNN i.e. Convolutional Neural Network (Design, Training, Inference). Experience building and optimizing libraries for fast computer vision Experience curating data, creating and optimizing models, and running experiments Expert knowledge of the principles, algorithms, and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc. Experience with one or more deep learning frameworks such as Tensorflow, PyTorch or Keras Experience porting and optimizing models and algorithms for different hardware platforms Strong programming skills using Python and C++ Superhuman thirst for learning including scouting for ideas and keeping up-to-date with advancements in the field Good to have skills : Any exposure to projects like Object Detection/Motion Detection/Face Recognition is good to have. Experience working with multiple video streams for simultaneous integration into machine learning algorithms Experience optimizing deep learning models for embedded form factors What your day might look like (Role) The SME - Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. This team partners with our hardware, software, and platforms teams to help bring our products and solutions to life. An ideal candidate for this role will lead in the creation of systems, algorithms, and optimizations for all things computer vision This includes leading and mentoring a team of engineers who help with different aspects of the task. Collaborate with the team to understand project requirements and objectives. Design and implement algorithms using C/C++, OpenCV, and TensorFlow. Integrate video analytics solutions with existing systems or platforms. Participate in design reviews and brainstorming sessions with cross-functional teams. Execute AI algorithms using various platform specific frameworks like TensorRT, TensorFlow Lite etc. Formulate program specifications and basic prototypes. Efficiently Develop PoC on Algorithms Performance Centric implementation practices. Implement low cost algorithm modules as per need. Troubleshoot issues and provide technical support during integration and deployment phases. Research new technologies and methodologies to enhance video analytics capabilities. Document your work, including writing code documentation or preparing technical reports. What do we offer Opportunity to work for an Indian Tech Company creating incredible products for the world, right from India Be part of a challenging, encouraging, and rewarding environment to do the best work of your life Competitive salary and other benefits Generous leave schedule of 21 days in addition to 9 public holidays, including holiday adjustments to convert weekends into long weekends 5-day workweek with 8 flexi-days months, allowing you to take care of responsibilities at home and work Company-paid Medical Insurance for the whole family (Employee+Spouse+Kids+Parents). Company paid Accident Insurance for the Employee On-premise meals, subsidized by the company ?If you are an Innovative Tech-savvy individual. Look no further. Click on Apply and we will reach out to you soon!

Description Are you excited about developing state-of-the-art Machine Learning, Natural Language Processing, designs using large data sets to solve real world problemsDo you want to build a foundation for your career after your Bachelors or Masters or Ph D program at an industry-leading companyYou enjoy the prospect of solving real-world problems that, quite frankly, have not been solved at scale anywhere before Along the way, you'll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver someone who truly enables machine learning to create significant impacts you will bring statistical modeling and machine learning advancements for customer-facing solutions in complex industrial settings You will be working in a fast-paced, cross-disciplinary team who are leaders in the field You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products Basic Qualifications Currently enrolled in degree program (Bachelors or MS/ Mtech ,MCA.) Engineering ,Computer Science, Mathematics, or related field with specialization in machine learning, NLP, ASR, deep learning, computer vision, data science or related fields. working knowledge of programming languages such as Python (SciPy, RPy2, etc). Preferred Skill NLP, Python, React, Mongo Responsibilities include: Design, Develop, Maintain ReactJS WebApp

As an Applied AI ML Associate Senior at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Supports and a ctively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments domain. Design, develop, and deploy machine learning and AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency. Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request Updates logical or physical data models based on new use cases. Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards. Adds to team culture of diversity, equity, inclusion, and respect. Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders. Required qualifications, capabilities, and skills Formal training or certification on data science concepts and 2+ years applied experience Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required. Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Experience with Jupyter Notebook/Lab is essential. Extensive experience in Natural Language Processing (NLP) or Large Language Models (LLM),or Computer Vision and other machine learning techniques, including classification, regression algorithms. Solid Understanding of algorithms in machine learning, AI, and neural network, including Large Language Models (LLM) and Generative AI as well as familiarity with state-of-the-art practices and advancements in these domains. Proficient in both basic and advanced exploratory data analysis (EDA), with an understanding of the limitations and implications of different methodologies. Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans. You possess strong cognitive and communication skills, characterized by clear and articulate expression. You excel at identifying core issues, bringing order to chaos, synthesizing insights, and driving decisive outcomes. Preferred qualifications, capabilities, and skills Familiarity working with one or more LLM frameworks like langchain / llamaindex / langgraph / crewAI Familiarity with one or more python API frameworks like FastAPI/Flask/Django

Implementation of AI/ML algorithms and frameworks Involvement in data collection, profiling, data preparation and curation of data AI Model development, experimentation, tuning validation Propose ML based solution approaches estimates for new use cases Programming: Python, SQL AI domains - NLP, computer vision Learning patterns supervised, unsupervised Knowledge of datasets, pre-built models available in open community and 3rd party providers Minimum Qualifications and Experience: BE/BTech in any engineering discipline with experience in applied AI/ML aspects will be highly desirable Required Expertise: Familiarity with AI/ML frameworks including Numpy, Scikit libraries Other terms: The position is contractual, full time in nature and subject to periodic performance reviews

As a Distinguished Data Scientist in the Catalog Data Science team, the candidate is expected to drive cutting edge innovation and business impact using AI, GenAI and broader data science capabilities. The candidate is also expected to demonstrate significant technical and thought leadership to elevate the catalog content quality. The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we'do at Walmart Global Tech will eventually benefit our operations our associates, helping Customers Save Money to Live Better. What you'll Do As a Distinguished Data Scientist, you'll have the opportunity to Formulating a strategy and roadmap to design, develop, and deploy AI/ML, NLP and GenAI models into production environments with a focus on reliability and scalability. Build/Fine-tune state-of-the-art large language models (LLMs) using Walmarts massive datasets. Lead and inspire a team of scientists and engineers solving AI/ML problems through RD while pushing the state-of-the-art to drive innovation at scale Executing full life cycle of projects through planning, data collection, model prototyping and deployment, with responsibilities encompassing stakeholder management and communication to cross-functional partners. Partner closely with Product and engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, machine learning prototypes, and the strategic importance of AI initiatives. Upholding standards, governance, and best practices in AI/ML model development and compliance with model and data governance standards. Build a strong external presence through publishing your team s work in top-tier AI/ML conferences and developing partnerships with academic institutions Adhere to Walmart s policies, procedures, mission, values, standards of ethics and integrity Adopt to Walmart s quality standards, develop/recommend process standards and best practices across the retail industry What you'll bring Bachelors/Masters/PhD from a reputed institution Minimum of 15+ years of data science experience Demonstrated history of technology leadership and strong hands-on experience Proven records of scientific publications or intellectual property generation Hands-on experience in Large Language Models, Multimodal Vision Language Models, Recommender Systems, Computer Vision, Optimization Models and Reinforcement Learning. Past experience in strong programming skills across data science, big data and ML engineering stack Strong communication skills with inclination to high ownership and commitment Good to haves: Experience with Ecommerce domain. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years experience in an analytics related field. Option 3: 8 years experience in an analytics or related field.

Summary We are seeking a highly skilled and motivated Computer Vision Engineer with strong expertise in Python, image processing, and algorithm design. The ideal candidate should be adept at developing fault-tolerant systems and optimizing data pipelines. This role requires an innovative thinker who thrives in a startup environment and is passionate about building scalable and efficient solutions. Skills Required Strong experience in Python and writing fault-tolerant code Extensive expertise in Image Processing, OpenCV, SciPy, and NumPy Good understanding of optimizing data processing pipelines Command over geometry, statistics, and designing complex algorithms Ability to work and thrive in a startup environment, learn rapidly, and master diverse web technologies and techniques Roles and Responsibilities Leverage open-source code and libraries to quickly experiment and build novel solutions Independently think of solutions to complex requirements; possess exceptional logical skills Analyze current products in development, including performance, diagnosis, and troubleshooting Work with the existing framework and help evolve it by building reusable code and libraries Search for and introduce new software-related technologies, processes, and tools to the team Brownie Points Knowledge of Keras, TensorFlow, PyTorch, Ludwig, TensorRT Experience with Nvidia DeepStream Knowledge of NLP and NLU (NLTK, SpaCy, Flair, etc.) Understanding of Docker, Kubernetes, and Git Familiarity with JavaScript What We Have to Offer Work with a performance-oriented team driven by ownership and open to experimenting with cutting-edge technologies Learn to design systems for high accuracy, efficiency, and scalability Meritocracy-driven, candid startup culture

Experience: 12+ Years Location: Pune & Kolkata About the Role: Are you passionate about driving cutting-edge AI/ML innovations? We are looking for a Technical Project Manager AI/ML & GenAI who can lead complex AI initiatives, manage dynamic cross-functional teams, and deliver transformative AI solutions. If you thrive at the intersection of technology and leadership , this role is for you! Key Responsibilities: Lead end-to-end AI/ML & Generative AI projects from concept to successful deployment. Collaborate with Data Scientists, ML Engineers, Software Developers, and Business Stakeholders. Manage AI/ML model development, training, validation, deployment, and monitoring. Integrate Generative AI technologies to drive innovation in business processes and customer experience. Use Agile tools like Jira, Asana, Trello for sprint and project tracking. Ensure adherence to AI ethics, security, and data privacy standards. Mentor, coach, and inspire AI teams to excel and innovate. Stay updated with latest AI/ML trends and technologies to bring cutting-edge solutions. Required Skills & Qualifications: Bachelor's or Masters Degree in Computer Science , AI/ML , Data Science , or related fields. 12+ years of IT experience, including 5+ years of direct AI/ML project management . Strong understanding of Machine Learning , Deep Learning , NLP , Computer Vision , and Generative AI models . Proficiency with AI/ML frameworks: TensorFlow , PyTorch , Hugging Face , OpenAI , LangChain , LLMs . Programming expertise in Python , SQL , and data engineering. Knowledge of Cloud AI Services (AWS, Azure, GCP). Solid experience in Agile methodologies , MLOps , SDLC , and DevOps . Outstanding leadership, communication, and stakeholder management skills. Knowledge of AI governance , Responsible AI , and Ethics is a plus. Preferred Certifications: PMP , PRINCE2 , Agile Scrum Master AI/ML Certifications from AWS , Google , or Microsoft Specializations in Data Science or AI/ML from reputed institutions Intrested candidates can share their resumes at ritu.singh@calsoftinc.com

About The Role : Job TitleSenior Engineer, AVP LocationPune, India Role Description The candidate in this role will architect, design, develop application code, implement technical solutions, and configure applications in different environments in response to business problems. To meet the requirements of the business, the candidate will actively participate in architecture design, application development lifecycle, investigate issues (bugs/performance), propose solutions, promote re-usability of existing components, and contribute to the creation of frameworks. The candidate will assist junior members of the team and guide them as applicable. Knowledge of Trade finance domain will be an advantage. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Lead the migration of our current ML workflow to GCP using products including DocAI Support business and key stakeholders to make data-driven decisions Identify and drive potential AI/ML use cases to improve the efficiency of various Trade Finance products Mentor and support junior data scientists Your skills and experience Proficiency in common data science languages - Python preferred Experience in Google Doc AI, Gemini or other state-of-the-art LLMs is necessary Experience on developing an LLM-based application is preferred Professional experience on projects involving machine learning - preferably Natural Language Processing or Computer Vision Knowledge of common frameworks like numpy, sklearn, pandas, tensorflow Familiarity with agile software development practices Desire to learn and adapt to new technology Strong analytical skills, with a university degree in Computer Science, Data Science, Mathematics, Physics or similar How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

About The Role : Job TitleEngineer, AVP LocationPune, India Role Description The candidate in this role will architect, design, develop application code, implement technical solutions, and configure applications in different environments in response to business problems. To meet the requirements of the business, the candidate will actively participate in architecture design, application development lifecycle, investigate issues (bugs/performance), propose solutions, promote re-usability of existing components, and contribute to the creation of frameworks. The candidate will assist junior members of the team and guide them as applicable. Knowledge of Trade finance domain will be an advantage. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Support business and key stakeholders to make data-driven decisions Work with the team on AI/ML solutions to improve the efficiency of various Trade Finance products Support with the migration of existing ML workflow to GCP using products such as DocAI Your skills and experience Experience using common languages used in data science preferably Python Experience in Google Doc AI, Gemini or other state-of-the-art LLMs is necessary Knowledge of AI/ML concepts beneficial - especially Natural Language Processing, Document Understanding and Computer Vision Knowledge of common frameworks like numpy, sklearn, pandas, tensorflow Familiarity with agile software development practices Desire to learn and adapt to new technology Strong analytical skills, with a university degree in Computer Science, Data Science, Mathematics, Physics or similar How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

As a key member of our team, you ll collaborate with different engineering and operations teams leading development of ML solutions for a variety of vision and language-based tasks and projects You will be responsible for delivering ML technologies aligned with the fast pace new technology and short product lifecycle, while ensuring the highest standards of product quality and reliability In this role, you ll be embedded inside a vibrant team of machine learning engineers and data scientists You ll be expected to help conceive, code, and deploy machine learning models at scale using the latest industry tools Important skills include data wrangling, feature engineering, developing models, and testing metric You will have the opportunity to work both independently and collaboratively to help partner teams meet predefined objectives If you are passionate to influence the quality, speed and efficiency of our ML algorithms, come and help enable our vision to create the most refined products in the world Join our team as a key contributor, leading the development of machine learning solutions for diverse tasks and projects Collaborate with engineering and operations teams to deliver cutting-edge ML technologies, ensuring top-tier product quality and reliability in a fast-paced environment KEY RESPONSIBILITIES- Develop and deploy scalable Computer Vision and Machine Learning algorithms on local and cloud-based inferencing platforms- Perform rapid prototyping to design algorithms for challenging real world manufacturing problems in the domain of Intelligent Visual Inspection.- Leverage Large Language Models to automate document analysis, knowledge extraction, and process optimization within manufacturing workflow- Fine-tune LLMs for domain-specific applications such as improving operational documentation, production reports, and automating technical analysis.- Work with resources in cross-functional teams and the factory to integrate ML applications- Abilities to independently learn new technologies; prioritize tasks and take ownership; and meaningfully present results of analyses in a clear and impactful manner Experience developing deep learning models such as CNNs, Vision Transformers, or YOLO for image-based tasks in production systems. Proven research and practical experience in developing algorithms for image processing, content-based video/image analysis, object detection, segmentation and tracking Proven experience in fine-tuning LLMs for domain-specific use cases such as document analysis and operational efficiency. Master s in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science or related fields. iOS CoreImage/CoreML and native App development experience is a big plus. Experience deploying ML models in cloud environments (AWS, GCP, or Azure) for scalable production use. Preferred Qualifications Strong grasp of deep learning principles in both Computer Vision and Natural Language Processing (NLP). Familiarity with LLM architectures like BERT, GPT, and experience fine-tuning these models for improved performance in manufacturing settings. Knowledge of machine learning and Deep Learning libraries such as PyTorch, OpenCV, Hugging Face, is essential. Proven ability to implement, improve, debug, and maintain machine learning models Familiar with version control systems such as Git Strong optimization and debugging skills Self-motivated, responsible, excellent written and verbal interpersonal skills Experience with handling and visualizing very large data sets and creating performance reports