1125 Computer Vision Jobs - Page 38

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of AI and ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Familiarity with chatbots and image processing. Additional Information:- The candidate should have a minimum of 5 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Prompt Engineering Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that may encompass deep learning, neural networks, chatbots, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing processes and workflows to enhance team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Prompt Engineering.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Prompt Engineering.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Evaluate and implement new technologies and methodologies to improve project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and their integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and workflows. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Knowledge of programming languages such as Python or R. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

3-5 years of experience in company ofLabelling Data management & validation C++, python, pytorch, Tensorflow Hands on experience in C++, Python in development & validation. Professional SkillSW Domain Knowledge. Tool SkillPytorch & tensor flow Adaptability - Being able to adapt to changing environments and work processes What youll love about working here We recognize vendor by OEM Chennai as Capgemini employee. you will get an environment to maintain healthy work life balance. Have good experience in OEM experience. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. 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. Skills (competencies) C++

Develop anomaly detection apps using image libraries Create solution architecture, support sales/demos, mentor team Need Python/C++, object detection models, image processing, TensorFlow/PyTorch, edge deployment, cloud platforms, collaboration skills

Requesting only candidates with relevant experience to apply for the position. We are looking for candidates who can join us immediately or 30 days of official Notice Period Role & responsibilities: You would be required to Identify, develop and implement the appropriate statistical techniques, algorithms and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains. Define, develop, maintain and evolve data models, tools and capabilities. Communicate your findings to the appropriate teams through visualizations Collaborate and communicate findings to diverse stakeholders Provide solutions for but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering , Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization, Gen AI and LLMs. Follow/maintain an agile methodology for delivering on project milestones. Preferred candidate profile Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. 6 plus years total experience with minimum of 5 years of experience in a related position, as a data scientist building Predictive analytics, Computer Vision, and NLP solutions for various types of business problems. Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch Programming background and expertise in building models using at least one of the following languages: Python, R , C, C++

Salary : 15 to 30 LPA Exp: 3 to 6 years Location :Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and GEN AI Interact with the client to understand their requirements and communicate / brainstorm solutions. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Text classification using any of the following : decision trees, knn classification, support vector machines or LDA Exp on SQL would be a plus

About the job: Key responsibilities: 1. Develop Windows desktop apps using C#, WPF, and XAML 2. Implement computer vision features using OpenCV (Emgu CV) 3. Work on real-time image/video processing and object detection 4. Integrate deep learning models (ONNX/TensorFlow) into applications 5. Optimise performance with multithreading and GPU acceleration 6. Collaborate on Python-based prototyping and scripting 7. Debug, test, and enhance application performance Who can apply: Only those candidates can apply who: are from Ahmedabad only are Computer Science Engineering students Salary: ₹ 2,16,000 - 2,76,000 /year Experience: 0 year(s) Deadline: 2025-06-28 23:59:59 Skills required: OpenCV, Python, Computer Vision and TensorFlow Other Requirements: 1. Bachelor's or Master's degree in Computer Science, Electronics, or a related discipline 2. 0–1 year of hands-on experience in C# programming and image processing technologies About Company: Engineering Services International (ESI) is an ISO-accredited engineering services company headquartered in Cochin, Kerala, with offices across India in Gujarat, Karnataka, Odisha, and Jamshedpur. Established in 1999, ESI serves major clients in the steel, cement, and aluminium sectors and aims to expand globally. We built and operate The Roboseum at Gujarat Science City, Ahmedabad, the world's largest robot-themed science centre. This unique project showcases innovations in humanoid, autonomous, and semi-autonomous robotics, including coordinated mobile robots, industrial automation, autonomous vehicles, and a fully automated robot cafe.

AI/ML Team Lead Job Summary: We are looking for an experienced AI/ML Engineer to lead our AI-driven projects and manage a team of engineers. The ideal candidate will have a strong background in artificial intelligence, machine learning, data science, and Python programming. As a Project Lead, you will be responsible for overseeing the development, implementation, and optimization of AI models, ensuring successful project execution, and guiding a team of AI/ML professionals. Key Responsibilities: • Lead AI/ML projects from ideation to deployment, ensuring timely delivery and quality output. • Manage and mentor a team of AI/ML engineers, fostering a culture of innovation and collaboration. • Design, develop, and optimize machine learning models, deep learning architectures, and data-driven solutions. • Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to define project requirements and deliverables. • Stay updated with the latest advancements in AI/ML, integrating relevant technologies and best practices. • Ensure scalability, efficiency, and reliability of AI models in production environments. • Develop and maintain technical documentation, reports, and presentations for both technical and non-technical audiences. • Conduct code reviews and enforce best coding practices for maintainable and efficient codebases. Required Skills & Qualifications: • Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • Experience: Minimum 5 years of hands-on experience in AI/ML, with at least 2 years in a leadership or project management role. • Technical Skills: o Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). o Strong understanding of supervised and unsupervised learning algorithms, deep learning, NLP, and computer vision. o Experience with data preprocessing, feature engineering, and model tuning. o Hands-on experience in deploying AI/ML models in production environments. o Knowledge of cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes). o Familiarity with big data technologies like Hadoop, Spark, or Databricks is a plus. AI/ML Team Lead • Leadership & Management Skills: o Proven experience in managing and mentoring AI/ML teams. o Ability to handle multiple projects and ensure alignment with business objectives. o Excellent problem-solving and decision-making skills. o Strong communication skills to convey complex AI concepts to non-technical stakeholders.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

PREDII INDIA PRIVATE LIMITED is looking for LLM Research Engineer to join our dynamic team and embark on a rewarding career journey Design and evaluate large language models for diverse tasks Conduct experiments and optimize model performance Implement research findings into production systems Collaborate with AI researchers and engineers

OneMagnify is looking for Databricks AI Engineer to join our dynamic team and embark on a rewarding career journey Build scalable AI models using Databricks and ML frameworks Optimize data pipelines for model training and deployment Collaborate with data scientists and engineering teams Ensure reliability and performance of AI systems

OrangeMantra is looking for AI/ML Engineer to join our dynamic team and embark on a rewarding career journey We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis Responsibilities:Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into machine learning objectives Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training Address data quality issues and ensure data readiness for machine learning tasks Model Development:Develop and implement machine learning models using state-of-the-art algorithms Experiment with different models and approaches to achieve optimal performance Training and Evaluation:Train machine learning models on diverse datasets and fine-tune hyperparameters Evaluate model performance using appropriate metrics and iterate on improvements Deployment:Deploy machine learning models into production environments Collaborate with DevOps and IT teams to ensure smooth integration Monitoring and Maintenance:Implement monitoring systems to track model performance in real-time Regularly update and retrain models to adapt to evolving data patterns Documentation:Document the entire machine learning development pipeline, from data preprocessing to model deployment Create user guides and documentation for end-users and stakeholders Collaboration:Collaborate with data scientists, software engineers, and domain experts to achieve project goals Participate in cross-functional team meetings and knowledge-sharing sessions

2-4 years of experience in designing, developing, and training machine learning models using diverse algorithms and techniques, including deep learning, NLP, computer vision, and time series analysis. Proven ability to optimize model performance through experimentation with architectures, hyperparameter tuning, and evaluation metrics. Hands-on experience in processing large datasets, including preprocessing, feature engineering, and data augmentation. Demonstrated ability to deploy trained AI/ML models to production using frameworks like Kubernetes and cloud-based ML platforms Solid understanding of monitoring and logging for performance tracking. Experience in exploring new AI/ML methodologies and documenting the development and deployment lifecycle, including performance metrics. Familiarity with AWS services, particularly SageMaker, is expected. Excellent communication, presentation, and interpersonal skills are essential. Good to have: Knowledge of GenAI (LangChain, Foundation model tuning, and GPT3) Amazon AWS Certified Machine Learning - Specialty certifications Explore different models and transform data science prototypes for given problem Analyze dataset perform data enrichment, feature engineering and model training Abale to write code using Python, Pandas and Dataframe APIs Develop machine learning applications according to requirements Perform statistical analysis and fine-tuning using test results Collaborate with data engineers & architects to implement and deploy scalable solutions. Encourage continuous innovation and out-of-the-box thinking. Experience applying theoretical models in an applied environment.

SMTS S OFTWARE DEVELOPMENT ENG INEER THE ROLE: AMD is looking for an influential software engineer who is passionate about improving the performance of key applications and benchmarks . You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology. THE PERSON: The ideal candidate shall have in-depth knowledge on state of the art AI/ML algorithms and inference workloads spanning across key embedded domains such as computer vision, voice recognition and generative AI using LLMs. In addition, prior experience in AI/ML model operators and kernels on popular HW accelerators including GPUs and NPUs are highly desirable. The ability to perform model quantization and other efficient inference techniques for embedded systems are essential. As a AI/ML development engineer, you will be tasked with various implementations ranging from end to end AI pipeline delivery, performance profiling to customer specific issue resolutions. We emphasize on Linux based SW development with real time embedded applications, and also standard frameworks such as ONNX RT and AMD ROCm. ACADEMIC CREDENTIALS: Bachelor s or M asters degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent #LI-MK1 Benefits offered are described: AMD benefits at a glance .

We are seeking seasoned GenAI Engineers with 5+ years of experience to design, deploy, and scale AI solutions. Candidates must be proficient in Python , with hands-on expertise in LLMs , RAG (Retrieval-Augmented Generation) , and frameworks like LangChain and Hugging Face . Experience working with Agentic AI or agent-based orchestration systems is highly desirable. Strong understanding of Computer Vision , including model development using OpenCV, YOLO, or similar libraries. Expertise in data manipulation libraries such as Pandas and NumPy is essential. Solid experience in FastAPI for building scalable APIs. Must have a good grasp of MLOps and ML Engineering , including model lifecycle management. Proven experience with DevOps tools like Docker, Kubernetes, Jenkins, and Terraform. Experience with CI/CD pipelines , automated testing, and Git version control is required. Ability to deploy AI models across cloud environments (AWS/GCP/Azure). Knowledge of transformer models, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Hands-on experience with fine-tuning and optimizing large language models. Ability to work cross-functionally with data scientists, product managers, and software engineers. Strong communication skills with a problem-solving mindset. A passion for staying ahead in the rapidly evolving GenAI landscape.

Experience Level: 3-7 Years Education Level: BE/B.Tech/ME/ M.Tech (CS or ECE) v Requirement - (ML Engineer - Data and ML Training Pipeline Engineer) Proficient in Python language. Familiar with Tensorflow/Keras frameworks Experience in building ML Pipeline and setup big data processing pipelines Able to evaluate model and benchmark various model version on different data and report generation Experience in Vision Domain ML models would be an advantage but not must have Comfortable in generating data as per model format, tfrecords, lmdb or similar format. Comfortable in data analysis and visualization Knack for debugging of python compilation, data reading issues. Proficiency in usage of different development tools - git/gerrit, static/dynamic analysis tools, code coverage, test & performance analysis tools Good to have: Comfortable with building data analysis, annotation scripts and exploring tools for ease of data understanding and annotations. Knack for data debugging and verify which classes/types of data are causing the ML model to fail. Should be comfortable in writing scripts to filter out/analyze such images and should be able to draw a conclusion after verifying the failure cases Experience in data visualization and cleaning for AI/ML projects. Synthetic Data Generation experience Able to track and version data used in ML pipeline and report generation

ADAS_ Perception Algo Development: Responsibilities : Development of C++ based perception software and algorithms including feature development, bug fixes and performance optimizations. Apply best practices including optimal algorithms, data structures as well as comply with the coding standards. Analyze data to determine improvement and propose new algo solutions. Ownership of the assigned activities and ensure timely deliveries including documentation. Alignment of requirements, changes and roadmap with stakeholders to deliver complex and successful solutions. Must have Experience: B.Tech/M.Tech/PhD in computer science, ECE, robotics or a related subject. At least 3 years of extensive professional experience in the field of software development mainly with Embedded C++. Experience with Python is an added value. Experience in one of the following areas is desirable: sensor data processing, probabilistic robotics, state estimation, object tracking. Experience in sensor data processing (Radar, LiDAR, Camera, IMU), computer vision, sensor-calibration and -fusion. Understanding of concepts and practical experience in software engineering, modelling, modern C++ (11, 14 or 17) and design patterns, as well as clean code and documentation. Proven experience with test driven development. Experience in SW development tools and CI systems (e.g. Git, Bazel, Zuul). Ability to Review Code fulfilling automotive SW quality standards e.g. MISRA. Independent work and team and communication skills.

Senior Engineer: Senior Data Scientist (LLM / Transformer): Responsibilities: 1. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience. 2. Design and implement AI safety and guardrails in the API layer working closely with researchers. 3. Collaborate with cross-functional teams to understand their data needs and develop solutions that meet those needs. 4. Stay updated with the latest trends and advancements in data science, machine learning, and Generative AI space. Qualifications: 1. Bachelors degree in Computer Science, Statistics, Mathematics, or a related field with 8+ years of relevant workingexperience, or Masters degree in the same with 5+ years of working experience. 2. Experience with machine learningfundamentals, with workingknowledge of Python and experience with deep learning frameworks such as Pytorch, TensorFlow, JAX or MXNet 3. Required hands-on experience with designand implementation ofapplications using Large Language Models (LLM). More specifically: Substantial prior programming experiencein languages suchas R, Python, SPARK, SQL. Comfort with professional software development process and GitHub. Google PaLM, OpenAI GPT, LLaMA, orsimilar models. LangChain, LlamaIndex, or similarframeworks. Advanced prompt engineering. Retrieval Augmented Generation (RAG). Vector databases (GCP Vector Search, ChromaDB, Experiences related to AWS services such as SageMaker,

Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various Gen-AI base models Design and develop prompts suiting project needs Lead and manage team of prompt engineers Stakeholder management across business and domains as required for the projects Evaluating base models and benchmarking performance Implement prompt gaurdrails to prevent attacks like prompt injection, jail braking and prompt leaking Develop, deploy and maintain auto prompt solutions Design and implement minimum design standards for every use case involving prompt engineering Key Responsibilities Strategy As the ML Engineer of AI ML Delivery team, the candidate is expected to solutionise, Develop Models and Integrate pipeline for Delivery of AIML Use cases. Business Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule. Processes Design and Delivery of AI ML Use cases RAI, Security Governance Model Validation Improvements Stakeholder Management People Talent Manage terms of project assignments and deadlines Work with the team dedicated for models related unstructured and structured data. Risk Management Ownership of the delivery, highlighting various risks on a timely manner to the stakeholders. Identifying proper remediation plan for the risks with proper risk roadmap. Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role. Regulatory Business Conduct Display exemplary conduct and live by the Group s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the [country / business unit / function/XXX [team] to achieve the outcomes set out in the Bank s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment. ] Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e. g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders Business Stakeholders AIML Engineering Team AIML Product Team Product Enablement Team SCB Infrastructure Team Interfacing Program Team Skills and Experience Use NLP, Vision and ML techniques to bring order to unstructured data Experience in extracting signal from noise in large unstructured datasets a plus Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems Work alongside an excellent, cross-functional team across Engineering, Product and Design create solutions and try various algorithms to solve the problem. Stakeholder Managemen Must have: Hands on experience in Kubernetes and Docker Hands on in Azure Cloud services (VMSS, Blob, AKS, Azure LB) Azure Devops tools CI/CD Hands on in Terraform Good to have: Azure OpenAI Grafana and monitoring Qualifications Masters with specialisation in Technology 8- 12 years relevant of Hands-on Experience Strong proficiency with Python, DJANGO framework and REGEX Good understanding of Machine learning framework Pytorch and Tensorflow Knowledge of Generative AI and RAG Pipeline Good in microservice design pattern and developing scalable application. Ability to build and consume REST API Fine tune and perform code optimization for better performance. Strong understanding on OOP and design thinking Understanding the nature of asynchronous programming and its quirks and workarounds Good understanding of server-side templating languages Understanding accessibility and security compliance, user authentication and authorization between multiple systems, servers, and environments Integration of APIs, multiple data sources and databases into one system Good knowledge in API Gateways and proxies, such as WSO2, KONG, nginx, Apache HTTP Server. Understanding fundamental design principles behind a scalable and distributed application Creating and managing database schemas that represent and support business processes, Hands-on experience in any SQL queries and Database server wrt managing deployment. Implementing automated testing platforms, unit tests, and CICD Pipeline About Standard Chartered Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we cant wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www. sc. com/careers 29825

Roles Responsibilities : Bosch Software and Digital Solutions is a leading systems integrator and solution provider for technology led business transformation. It is the systems integration arm of Bosch Global and is headquartered in Bangalore. The Chief AI Officer (CAIO) will be responsible for developing and articulating a clear AI vision for SDS and overseeing, implementing and governing SDS AI strategy that aligns with business goals. The CAIO will also oversee the development of innovative AI and Gen AI solutions/offerings for further transforming SDS s offerings portfolio and to support SDS customers with their AI journeys. The CAIO will lead Bosch SDS s AI-first approach and align SDS portfolio offerings to the rapidly evolving needs of our customers. Key Responsibilities: 1. Strategic AI Vision and Roadmap Develops and articulate a clear AI vision that aligns with SDS s short, medium and long-term goals. Creates an AI roadmap that outlines short-term and long-term initiatives. Identifies vital areas where AI can drive business growth and efficiency. 2. AI Strategic Leadership Develop and drive SDS AI strategy to align with organizations broader transformation roadmap and business goals. Define overall AI GTM and growth strategy in conjunction with business leaders. 3. AI Product and Solution Development Analyze emerging trends to create AI products/accelerators, frameworks and capabilities in key areas such as predictive analytics, NLP, Computer vision, generative AI, agentic AI, and automation. Define guidelines for AI model development for customers, ensuring ethical, transparent, and responsible AI Use Conceptualize the blueprint of asset to-be developed and collaborate with technical team to execute and implement the same. Co-lead initiatives like hackathons, workshops, and other events to encourage innovation and cross sharing of ideas. 4. AI Strategy Consulting and Advisory Lead customer discussions to understand their existing problem statements and business challenges and assess their existing AI maturity. Define target AI Reference architecture, use case discovery, business case and implementation approach for AI initiatives. Define consulting approach and frameworks and develop AI Consulting proposals, bid defense, and help in acquisition. Manage/Lead AI consulting engagement to define AI strategy, roadmap, and execution plans aligned with business objectives. 5. AI Implementation Oversee the implementation of AI projects for customers, which includes Design and deployment of AI-powered solutions, including machine learning (ML), generative AI, computer vision, NLP, and generative AI solutions for customers. Identify emerging AI trends and technologies to create competitive, scalable offerings. Leverage the existing code base/solutions to ideate and create re-usable assets/IPs. 6. AI Team leadership and Talent Development Build and Lead cross-functional AI teams (Data Scientists, ML Engineers, AI researchers, Gen AI developers, Product Managers, etc. ) Foster a culture of continuous learning, innovation, and collaboration. Establish AI training and upskilling programs for employees.

Job Summary As a Computer Vision and AI/ML Engineer, youll be responsible for designing and deploying advanced algorithms in computer vision, image processing, and deep learning Collaborating with our 3D development team, youll build state-of-the-art models to enhance our applications in 3D reconstruction, object detection, and Responsibilities : Algorithm Development: Design and optimize computer vision and deep learning algorithms for 3D applications. Model Deployment: Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment on edge devices after optimization to meet customer requirements Research and Innovation: Prototype new solutions based on the latest advancements in AI, machine learning, and computer vision. Cross-Functional Collaboration: Integrate algorithms into 3D rendering systems and work closely with the team to meet project goals Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints Documentation: Maintain code quality and document solutions for easy 3 or 3+ years in computer vision, deep learning, and Bachelors or Masters in Computer Science, Data Science, Electrical Engineering, or related Skills: Proficiency in C, C++, OpenGL, Objective C, Swift, Python, PyTorch, TensorFlow, and OpenCV. Understanding about depth and breadth of computer vision and deep learning algorithms Knowledge of algorithms and data structures relevant to computer vision. Hands-on experience with NVIDIA platforms IGX, Jetson, or Xavier (Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit) Concepts of parallel architecture on GPU is an added advantage. Knowledge in linear algebra, calculus, and Knowledge of AR/VR, 3D vision, and AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes)