1125 Computer Vision Jobs - Page 43

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 - 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.

As a Machine Learning Engineer, you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apple s products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance.Have continuous focus to Brainstorm and Design various POCs using AI/ML Services for new or existing enterprise problems.YOU SHOULD BE ABLE TO:- Understand a business challenge- Collaborate with business and other multi-functional teams- Design a statistical or deep learning solution to find the needed answer to it.- Develop it by yourself or guide another person to do it.- Deliver the outcome into production, (v) Keep a good governance of your work.There are meaningful opportunities for you deliver impactful influences to Apple. 4+ years of ML engineering experience in feature engineering, model training, model serving, model monitoring and model refresh management Experience developing AI/ML systems at scale in production or in high-impact research environments Passionate about computer vision, natural language processing, especially in LLMs and Generative AI systems Knowledge with the common frameworks and tools such as PyPorch or TensorFlow Experience with transformer models such as BERT, GPT etc. and understanding of their underlying principles is a plus Strong coding, analytical, software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment Experience in handling performance, application and security log management Applied knowledge of statistical data analysis, predictive modeling classification, Time Series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis. Proficiency in programming languages and tools like Python, R, Git, Airflow, Notebooks. Experience with data visualization tools like matplotlib, d3.js., Tableau would be a plus Education & Experience Bachelor s Degree or Equivalent experience

As an InTech MQE, your role with be to co-work with suppliers to design inspection equipment, build it and deploy it in production environment. You will explain not just how to build a solution or models to answer problems, but how to deploy models. These systems will be responsible for judgement of millions of units per day in a challenging mechanical part manufacturing environment. There is a bit of being like a start-up where you ll occasionally have to wear multiple hats - sometimes you ll need to be a technical project manager, other time you ll need to deep dive into databases, while at other times you ll need to work with optics improvements to be able to see part cosmetic defects consistently so that you can then drive inspection and Machine learning advancements. You will be required to balance technical requirements while effectively managing collaborations with vendors to maintain schedule and ramp dates. 4+ years experience applying computer or machine vision or machine learning techniques to build models that are deployable into a manufacturing environment Software development skills Knowledge of basic networking concepts and protocols, e.g.: TCP/IP, HTTP, etc. Experience with 2D/3D triangulation laser system and/or CCD inspection system such as Halcon, Keyence, Cognex, and/or Visco Familiar with mechanical metrology system qualification process, such as GRR, Correlation, Stability and Reliability Understanding of optics, image acquisition, software filtering and judgment algorithms. Basic understanding of manufacturing processes (i.e. CNC, modeling, laser welding, etc) Intermediate knowledge of automation including system layout, architecture, and cycle time optimization for optical, motion and mechanical systems Ability to Travel approximately 25-50% of the time, sometimes internationally Must have strong interest and understanding of technical details whilst simultaneously have a firm grasp of the bigger picture as it relates to overall final product quality Being hands-on, Creative and collaborative will be key in excelling in this role. Proficient use of English both written and oral Preferred Qualifications Basic exposure to GD&T, data analysis, metrology Demonstrated technical skills in Machine or Computer Vision as well Machine Learning (CNNs, object detection) Proficiency with Python, CLI, Linux and Unix shell scripting Experience with cloud computing platforms AWS and deployment tools like docker Experience building Software ML solutions - all the way from inception to production. Proficiency in Python is preferred. Experienced user of machine learning and statistical-analysis libraries, such as Turi Create, PyTorch, Keras, Scikit-learn, SciPy. Ability to explain and present analyses and machine learning concepts to a broad technical audience. Bachelors degree in Mechanical Engineering, Computer Science, Systems Design, Electrical Engineering or equivalent experience. MS/ME or PhD is a plus

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries ofscience and engineering to make possiblethe next generations of technology, join us to Make Possible a Better Future. What We Offer Location: Bangalore,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our . You'll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers.We empower our team to push the boundaries of what is possible"while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. Responsibilities: As a seasoned Software Architect, you will be responsible for designing and implementing scalable, reliable and maintainable software solutions for our organization. You will work closely with cross-functional teams, including software engineers, product managers, and business stakeholders, to understand requirements and translate them into architectural/software designs that meet business needs. You will be coding and developing quick prototypes to establish your design with real code and data. You will be a subject Matter expert to unblock software engineers. Conduct technical reviews and provide guidance to software engineers during the development process. Identify and mitigate technical risks and issues throughout the software development lifecycle. Evaluate and recommend appropriate technologies and frameworks to meet project requirements. Lead the design and implementation of complex software components and systems. Mentor and coach Tech Leads & s/w engineers. You are a go-getter. Qualifications & Requirements: 12-18 yrs of experience with B. Tech / MTech in Computer Science. Proven experience as a Software Architect or similar role with experience of 10+ yrs in product development. Minimum experience of 10+ years in core Java & advanced features. E.g., streams, functional programming, virtual threads. Minimum experience of 5+ years in Spring Boot & associated Spring features. Minimum experience of 4+ years of in driving/contributing towards HLD & LLD, contribution towards code reviews & coding practices (like clean code & SOLID principles) Minimum experience of 4+ years in building and driving microservices based architecture or large scale systems. Strong in algorithms & data-structures. Experience in workflow frameworks. Examples - Temporal, Apache Airflow etc. Experience in reactive programming. Good to have: Good knowledge on Semiconductor domain. Design, prototype, implement and test software and computer vision machine learning algorithms in Python. Experience with scikit-image, Tensor Flow, PyTorch. Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Relocation Eligible: No Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

machine learning algorithms and deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Proficiency in Python data processing libraries (Pandas, NumPy) Knowledge of cloud platforms like AWS, GCP, or Azure NLP,LLM,GenAI

We are looking for a highly skilled and experienced Senior Data Scientist with 3 to 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. ### Roles and Responsibility Contribute to the design and implementation of state-of-the-art AI solutions. Assist in developing and implementing AI models and systems using techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. ### Job Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related field; a Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements.

We are looking for a skilled AI Architect with 10-12 years of experience in Data Science, including 4-5 years focused on architecting and designing AI solutions. The ideal candidate will have a strong background in machine learning, deep learning, natural language processing, and computer vision. ### Roles and Responsibility Lead the design and implementation of comprehensive AI architectures, encompassing machine learning, generative AI, and intelligent agent systems. Develop detailed technical documentation encompassing end-to-end system architecture, infrastructure requirements, API specifications, and deployment processes. Conduct research to explore new advancements in Machine Learning, GenAI, and Agents, and incorporate them into current and future projects. Establish guidelines and frameworks to maintain ethical AI development, mitigate biases, and ensure compliance with data privacy regulations and industry standards. Collaborate with cross-functional teams to support global clients and drive innovation. Design and implement scalable and efficient AI solutions that meet business needs. ### Job Requirements Excellent academic background in Data Science, Business Analytics, Statistics, Engineering, Operational Research, or other related field. Solid background in Python with excellent coding skills. Experience in machine learning, deep learning, natural language processing, and computer vision. Strong understanding of large language models like OpenAI models like ChatGPT, GPT4, function calling, frameworks like LangChain, Llama Index, agents, etc. Experience with AIOps and MLOps. Good understanding of open source LLM framework like Mistral, Llama, etc., and fine tuning on custom datasets. Deep learning (DNN, RNN, LSTM, Encoder-Decoder Models). Natural Language Processing - Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis. Computer Vision - Image Classification, Object Detection, Tracking, etc. SQL/NoSQL Databases and its manipulation components. Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Excellent written, oral, presentation, and facilitation skills. Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to prioritize and multitask. Analyzes complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/gather/analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors.

Role Description Booking Holdings (NASDAQ: BKNG) is the world leader in online travel and related services, provided to customers and partners in over 220 countries and territories through six primary consumer-facing brands - Booking.com, KAYAK, Priceline, Agoda.com, Rentalcars.com, and OpenTable. The mission of Booking Holdings is to make it easier for everyone to experience the world. During 2019, the Company had consolidated revenues and net income of $15.1 billion and $4.9 billion, respectively, and a current market value of approximately $90 billion. Booking Holdings Bangalore is a Center of Excellence based in Bangalore, India and a legal entity of Booking Holdings Inc. The Center was created to support the increasing business demands of the Booking Holdings Brands. The Center of Excellence provides access to specialized and highly skilled talent, leading industry best practices, and collaboration opportunities across all of the Booking Holdings brands and business units. It wasnt so long ago that booking a trip to see the Eiffel Tower, stroll down New Yorks iconic Madison Avenue or feel the sand between our toes on Copacabana Beach was simply a matter of a few taps on our smartphone. In fact, thats what we do at Booking.com. We make it easier for everyone to experience the world. And while that world might feel a little farther away right now, were busy preparing for when the world is ready to travel once more. Across our offices worldwide, we continue to innovate. To solve for some of the most complex challenges in travel and technology, and to plan for the exciting developments that lie ahead. With strategic long-term investments into what we believe the future of travel can be, we are opening up new career opportunities that will have a strong impact on our mission.We are united in the belief that our very human desire to explore the planets beauty and discover more about other people and cultures will endure. The world is waiting for us. Together, we will be ready. As a Machine Learning Engineer you are a driver of your discipline, who generates significant business impact directly and indirectly, and crafts the direction of product initiatives by being driven and having full ownership of your projects - from ideation to collecting data, annotating, feature engineering, productionizing and training model pipelines, deploying experiments, measuring and iterating on them - as well as coaching other Machine Learning Engineers, Scientists, Data Engineers, Product Managers, etc to do the same. B.Responsible Execute applied research plans for machine intelligence on a specific product by designing innovative ML/AI models, algorithms, and approaches that deliver both short-term commercial impact and longer-term differentiated business value and customer experiences. Document and share the findings. Translate specific business problems into ML/AI challenges and identify the best approach within the constraints of the production environment. Build proof-of-concepts to test new ideas and demonstrate their potential value to relevant stakeholders. Develop production-grade machine learning code, from models to features and pipelines, allowing for scalability, realtime, monitoring and retraining. Monitor product health, performance and business impact and act accordingly when not met. Build readable and reusable code, choosing the right technologies, coding methodologies, and approach from carefully designed rapid prototyping to software deployment at scale. Identify opportunities for platform-based development and reuse by abstracting business problems to generalized ML/AI solutions. Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of ML/AI disciplines and related fields. Coach others through evidence and clear communication, explaining advanced technical concepts. Identify underlying issues and opportunities across domains and situations through application of structured thinking and logic, and formulate possible improvements. Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies, introducing them to the machine learning community and promoting their application in areas where they can generate impact. Actively contribute to Machine Learning at Booking.com through training, exploration of new technologies, interviewing, onboarding and mentoring colleagues. Push for improvements, scaling and extending machine learning tooling and infrastructure, collaborating with central teams. B.Skilled Advanced knowledge in one or more areas of ML/AI (e.g. Recommender Systems, Deep Learning, Forecasting, Information Retrieval, Computer Vision, NLP). 5+ years of relevant work experience (or equivalent), involved with the application of Machine Learning to business problems in a commercial environment. Demonstrable experience of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization. Experience with data-driven product development: analytics, A/B testing, etc. Strong working experience in one or more general purpose programming languages, including but not limited to: Java, Python or Perl. Bsc or higher in Computer Science, Artificial Intelligence, Software Engineering, or related fields. Excellent English communication skills, both written and verbal. Experience in Kubernetes and docker.for the position.

About the Role: We are based in Gurgaon and looking for a Senior Computer Vision Engineer to join our team and help our team to improve and create new technologies. You'll work on projects which makes online assessment more secure and cheating proof. If you're a seasoned computer vision expert with a passion for innovation and a track record of delivering impactful solutions, we would be happy to meet you. Role : Senior Computer Vision Engineer Functional Area : AI Educational Qualification: BTech/MS/MTech/PhD in Computer Science/Computer vision/Signal Processing/Deep Learning or equivalent. Should have worked in an academic or professional setting in the field of computer vision/signal processing. Experience: 2-5 years Location : Gurgaon Key Responsibilities: Develop and optimize advanced computer vision algorithms for image and video analysis tasks. Design, implement and train deep learning models for object detection, face processing, activity recognition and other related tasks. Test and refine models and systems based on real-world data and feedback. Evaluate project requirements, plan and manage the roadmap of a project. Present findings and insights in a clear and concise manner to stakeholders. Collaborate and help to integrate and deploy computer vision systems into broader product architecture. Conduct research to stay updated on emerging computer vision technologies and trends. Automate data preprocessing and annotation processes to streamline workflow efficiency. Maintain comprehensive documentation for algorithms, implementations, and evaluations. Mentor junior engineers and provide strategic guidance on project development. Requirements and skills: Proficiency in Python and knowledge of C++, Java and JS is plus. Solid understanding of neural networks, especially convolutional neural networks (CNNs). Knowledge of RCNNs and vision transformers. Proficient in understanding, designing and implementing deep learning models using frameworks such as TensorFlow, PyTorch and Keras. Understanding of fundamental image processing techniques like image filtering, edge detection, image segmentation and image augmentation. Experience in evaluating computer vision models using relevant metrics and performance indicators. Familiarity with GPU and related technologies which is utilized for improved computational efficiency such as CUDA, CUDNN, tensorRT etc. Familiarity with Python libraries such as OpenCV, NumPy, Pandas and scikit-learn etc. Basic knowledge of linear algebra, calculus, and statistics. Strong critical thinking, analytical, and problem-solving skills Self-motivated, quick learner and strong team player with ability to work with minimal supervision.

What you will be doing This role will be responsible for analyzing large, complex datasets and identifying meaningful patterns that lead to actionable recommendations. This role will be performing thorough testing and validation of models, and supporting various aspects of the business with data analytics. Responsible for the design, development, testing, deployment, maintenance, and improvement of machine learning system software. Leverages big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are redefined as data science models that are ready to scale as needed. Asserts that production ML tasks are working properly and ensures that data science code is maintainable and scalable in terms of actual execution and scheduling, ensuring that data science code is maintainable and scalable. Uses experience, expertise and skills to make recommendations and solve problems that are more difficult and infrequent. Develop and deploy knowledge-based structures to be used by various teams, systems, and tools. Develop tools and processes to maintain, monitor, and enhance existing knowledge-based structures, ensuring their ongoing performance. Identify and implement various sources of data from across the company to further improve knowledge-based structures. Utilize feedback from users and reports to identify gaps and resolve issues. Work with clients to gather requirements and recommend possible solutions to business initiatives. What we are looking for You'll need to have: Bachelors degree or four or more years of work experience. Four or more years of relevant machine learning experience. Experience in Machine learning algorithms including: forecasting, clustering, classification, reinforcement learning, deep learning etc. Experience in Spark and/or Python. Strong experience in Big Data Analysis. Experience with Generative AI and GPU solution optimization. Good mobile telecommunications industry knowledge, including experience with handset manufacturers, network equipment vendors, and/or chipset vendors. Ability to do statistical modeling, build predictive models and leverage machine learning algorithms, build efficient ML pipeline. Even better if you have one or more of the following: Strong communication skills to collaborate with cross-functional teams and explain technical concepts. Strong analytical capabilities, creativity and critical thinking. Excellent problem-solving skills and ability to debug complex issues across the entire stack.

As a high GT and Simulation Trainer, you will be responsible for designing, developing, and delivering training programs in 2D & 3D with high simulation technology using different computer programming and languages. The Trainer's role is crucial in ensuring participants are wellprepared for real-world situations by immersing them in lifelike simulations. Also, the need would be to conduct training for labeling diverse datasets, including images & complex/dense 3D point clouds or LiDAR. Skill requirements: • Excellent command of the English language. Good presentation, communication, and facilitation skills. Experience in teaching, training, or instructional design is advantageous. Experience of interaction with overseas clients. Ability to adapt training approaches for varying skill levels and industries. High comfort level with using tech tools/platforms. Attention to detail, critical thinking, and problem-solving skills. Multi-tasking and time management. Strong interpersonal skills and analytical bent of mind. Good with MS Word, Excel, and PowerPoint. Additional Skill Requirements- Preferred: Previous 3D or Simulation training experience. Previous labeling and annotation experience in 3D or Simulation. Familiarity with computer programming, coding, simulation software, and technology. Familiarity with different computer languages and coding. Road Rules Knowledge. Detail-oriented with adaptability to changing training needs. Preferred candidate profile : Bachelor's Degree / Master's Degree / Diploma or Technical Preferable subject: Prediction, Planning, Simulation & Basic knowledge of programming & computer languages E.g.: Java, Python, C++, etc If you are interested for this profile kindly forward your updated CV to this mail id ssi.management@gmail.com

Key Responsibilities: •Develop computer vision solutions for machine learning applications. •Design deep learning models using frameworks like PyTorch, TensorFlow, and OpenCV. •Implement algorithms for object detection, segmentation, classification, and tracking. •Work with large datasets for image processing and develop scalable models. •Deploy models on edge devices to optimize inference efficiency and resource utilization. •Collaborate with data scientists to understand project requirements and deliver solutions. •Implement and evaluate model performance to ensure accuracy and efficiency. •Stay up to date with the latest techniques in deep learning and classical computer vision Qualifications: •Bachelor s degree in Computer Science, or related field. •3+ years of experience in computer vision. •Strong skills in Python and experience with deep learning frameworks like PyTorch and TensorFlow. •Experience with computer vision libraries such as OpenCV. •Proficiency in classical computer vision techniques, including SIFT, SURF, feature extraction, image manipulation, and calibration. •Experience in deploying models to edge devices for real-time computer vision applications. •Strong understanding of Data Structures and Algorithms (DSA) with hands-on coding experience. •Strong experience working with large-scale datasets. •Excellent communication and collaboration skills.

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. Summary: As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Location: Pan India

Position: AI/ML Lead Location: Mohali Experience: 9+ Years Key Responsibilities: Lead the end-to-end design, architecture, and delivery of complex AI/ML solutions, including scalable data pipelines, advanced model development, training, deployment, and post-deployment support. Strategically develop and implement machine learning models across diverse domains such as natural language processing (NLP), computer vision, recommendation systems, classification, and regression. Drive innovation by integrating and fine-tuning Large Language Models (LLMs) like GPT, BERT, LLaMA, and similar state-of-the-art transformer architectures into enterprise-grade applications. Own the selection and implementation of appropriate ML frameworks, tools, and cloud technologies aligned with business goals and technical requirements. Spearhead AI/ML experimentation, Proof-of-Concepts (PoCs), benchmarking, and model optimization initiatives. Collaborate cross-functionally with data engineering, software development, and product teams to seamlessly integrate ML capabilities into production systems. Establish and enforce robust MLOps pipelines covering CI/CD for ML, model versioning, reproducibility, and monitoring to ensure reliability at scale. Stay at the forefront of AI advancements, particularly in generative AI and LLM ecosystems, and champion their adoption across business use cases. Required Qualifications: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Hands on experience in the AI/ML domain, with a proven track record of delivering production-grade ML systems. Expertise in machine learning algorithms, deep learning architectures, and advanced neural network design. Demonstrated hands-on experience with LLMs, transformer-based models, prompt engineering, and embeddings. Proficiency with ML frameworks and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc. Strong programming skills in Python and familiarity with cloud platforms (AWS, Azure, or GCP) for scalable ML workloads. Solid experience with MLOps tools and practices including MLflow, Kubeflow, SageMaker, or equivalent. Excellent leadership, analytical thinking, and communication skills. Preferred Qualifications: Experience with vector databases . Exposure to real-time AI systems, edge AI, and streaming data environments. Active contributions to open-source projects, research publications, or thought leadership in AI/ML. Certification in AI/ML is big plus. Interested candidates can apply directly or share their resume at shubhra_bhugra@softprodigy.com

Role Proficiency: Design and develop ML solutions that will enable intelligent experiences and provide value. Collaboratively work with business technology and product teams to understand the product objectives and formulate the ML problem under minimal guidance from Lead II Outcomes: Executes relevant data wrangling activities related to the problem Conduct ML experiments to understand feasibility; building baseline models to solve the business problem Fine tune the baseline model for optimum performance Test Models internally per acceptance criteria from the business Identify areas and techniques to optimize the model based on test results Document relevant artefacts for communicating with the business Work with data scientists to deploy the models. Work with product teams in planning and execution of new product releases. Set OKRs and success steps for self/ team and provide feedback of goals to team members Identify metrics for validating the models and communicate the same in business terms to the product teams. Keep track of the trends and do rapid prototyping to understand the feasibility of utilizing in existing solutions Measures of Outcomes: Selection of right algorithms for the business problems Successful deployment of the model with optimised accuracy for baseline model Number of time project schedule / timelines adhered to Personal and team achievement of quarterly/yearly objectives (OKR Assignments HIG Stretch goals) Number of internal testing observations published and models refined to achieve 100 % business objectives with mentoring from the Lead ML Engineer Number of business metric and corresponding model metrics identified independently or with assistance from product team / ML Specialist Number of areas identified for improving the model using new technologies for product / feature improvements Number of Rapid prototypes using state of the art methods Outputs Expected: Design to deliver Product Objectives: Design ML solutions which are aligned to and achieve product objectives Understand the business requirements; formulate into an ML problem Define data requirements for the model building and model monitoring; working with product managers to get necessary data Define the data requirement for the problem Define the AI scope and metrics from the product and business objectives with guidance from Lead II Identify technology components for Rapid prototype Alignment of Business metrics to Model Metrics Check the validity of the training data and test data requirements from the performance standpoint and take necessary actions Updated on state of art techniques in the area of AI / ML : Perform necessary research to use the latest state of the art techniques to design scalable approaches Explain the relevance of the technologies its pros and cons to the product team to enable appropriate design experiences Skill Examples: Technically strong with the ability to connect the dots Ability to communicate the relevance of technology to the stakeholders in a simple and relatable language Capability in selecting the appropriate techniques based on the data availability and set expectations on the overall functionality of the solutions Ability to understand the limitations of the current technology; defining the AI scope and metrics Curiosity to learn more about new business domains and Technology Innovation An empathetic listener who can give and receive honest thoughtful feedback Knowledge Examples: Expertise in machine learning model building lifecycle Clear understanding of various ML techniques and its appropriate use to business problems A strong background of Statistics and Mathematics Expertise in one of the domains - Computer Vision Language Understanding or structured data Experience in executing collaboratively with engineering design user research teams and business stakeholders Experience with data wrangling techniques preprocessing and post processing requirements for ML solutions Aware of the techniques of validating the quality of the data Experience in identifying the testing criteria to validate the quality of the model output Good knowledge python and deep learning frameworks like Tensorflow Pytorch Caffe Familiar with the machine learning model testing approaches A genuine eagerness to work and learn from a diverse and talented team Additional Comments: Job Description: We are seeking a visionary AI professional to lead the AIOps team within our Intelligent Automation division. The ideal candidate will bring a minimum of 10 years of experience in AI, with deep expertise in ML, Deep Learning, NLP, and Generative AI. The role requires strong technical leadership, R&D focus, and the ability to mentor and lead a team driving cutting-edge AIOps solutions for IT operations management. Responsibilities: - Lead AIOps Research: Drive research and development of AI solutions for AIOps, focusing on predictive maintenance, anomaly detection, incident correlation, and root cause analysis. - Project Leadership: Oversee end-to-end delivery of AIOps AI projects, aligning them with organizational goals and client requirements. - Technical Expertise: Provide expert-level guidance in ML, DL, NLP, and Generative AI technologies to ensure robust and scalable solutions. - Innovation in AIOps: Explore and implement advanced Generative AI, Large Language Models (LLMs), and agentic AI for intelligent automation and IT operations. - Team Leadership: Manage, mentor, and inspire a team of AI researchers, data scientists, and ML engineers, fostering a collaborative and innovative environment. - Collaboration: Partner with cross-functional teams, including product management, engineering, and business stakeholders, to deliver impactful AIOps solutions. - Strategic Vision: Contribute to the development of AIOps strategies and roadmaps, defining milestones and objectives that drive innovation and business value. Qualifications: - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; advanced degree (Master's or Ph.D.) preferred. - At least 10 years of experience in AI, with a focus on ML, DL, NLP, and Generative AI applications. - Proven expertise in AIOps-specific use cases such as predictive maintenance, anomaly detection, and incident management. - Proficiency in ML frameworks and libraries like TensorFlow, PyTorch, and Scikit-learn. - Strong experience with Generative AI and LLMs such as GPT, BERT, or similar transformer models. - Familiarity with MLOps tools, Databricks, and cloud-based AI services from Azure, AWS, and GCP. - Demonstrated team leadership experience, with the ability to manage, mentor, and grow technical teams. - Excellent problem-solving and analytical skills, with a results-oriented mindset. - Exceptional communication skills to effectively collaborate with diverse stakeholders. - Ability to operate in a fast-paced, dynamic environment while maintaining a focus on quality and innovation. Required Skills Artificial Intelligence,Project Leadership,Team leadership

Job Title: Machine Learning Engineer (Computer Vision + GenAI) Location: Bangalore, India (Hybrid) Company: Factspan Analytics Client Industry: Retail / E-commerce About the Role We are looking for a highly skilled Machine Learning Engineer with a strong foundation in Computer Vision , NLP , and GenAI to join our team at Factspan. You'll work closely with a leading retail client to address a critical business challenge: identifying and resolving duplicate product listings across Marketplace and traditional sellers using AI-driven solutions. This role is central to helping the client clean up and scale their product catalog across 30+ categories, each with 10,000+ images. You'll be expected to build and productionize models that can intelligently compare product images and text descriptions to detect duplicates and inconsistencies, leveraging both traditional ML and the latest GenAI techniques. Key Responsibilities Build and deploy scalable Computer Vision pipelines to identify near-duplicate product images across millions of listings. Use Natural Language Processing to match product descriptions and titles with associated images. Leverage LLMs and multimodal GenAI models (e.g., BLIP, CLIP, LLaVA, Gemini, GPT-4V) to solve alignment problems between images and text. Design and implement MLOps and LLMOps pipelines for deploying both traditional ML models and GenAI solutions in production. Perform large-scale image embedding generation , storage, and similarity search using tools like FAISS , Milvus , or pgvector . Use BigQuery and write optimized SQL queries for data preprocessing and analytics. Collaborate with product managers, data engineers, and cloud architects to scale the solution across new product categories. Required Skills 6+ years of hands-on experience in Machine Learning or Data Science roles. Deep expertise in Computer Vision (image deduplication, embedding models, similarity search). Strong understanding of NLP with experience aligning image and text modalities. Exposure to Generative AI/LLMs and how they can be used in multimodal tasks. Experience deploying ML/GenAI models using MLOps/LLMOps best practices (CI/CD, monitoring, versioning). Proficient in Python , TensorFlow/PyTorch , OpenCV , and transformers libraries (e.g., Hugging Face). Familiarity with GCP ecosystem especially BigQuery , Cloud Storage , Vertex AI , Cloud Functions . Strong SQL skills and understanding of data pipelines. Previous experience growing from a Data Scientist role is highly desirable. Good to Have Hands-on with Vector Databases like Milvus, Pinecone, or pgvector. Knowledge of retrieval-augmented generation (RAG) pipelines for GenAI solutions. Familiarity with tools like LangChain , Unstructured.io , or Haystack . Understanding of image compression, image hashing, and perceptual similarity techniques. Why Join Us Work on a high-impact retail AI problem at enterprise scale. Collaborate with a forward-thinking client open to innovation. Join a team where your work directly translates to business value. Flexible hybrid working model in Bangalore with a passionate AI team. Ready to create innovative solutions with computer vision, NLP, and GenAI in retail? Apply now by sending your resume and cover letter to sathishkumar.arumugam@factspan.com.

About the Role Were looking for a passionate AI Evangelist & Code Generation Expert to lead the adoption of AI-powered coding tools across our engineering teams. In this pivotal role, you’ll drive a transformation in how we build software—spanning new development, code refactoring, test generation, tech stack and microservice migration. You'll champion tools like Cursor AI, GitHub Copilot, and Windsurf AI, deliver impactful training, and demonstrate measurable gains in productivity and code quality. Experience applying AI in our domain is a strong plus. Key Responsibilities Champion AI-Powered Coding : Advocate the adoption of tools like Cursor AI, GitHub Copilot, and Windsurf AI across engineering teams, articulating their value and addressing resistance. Drive Training & Enablement : Design tailored training sessions, workshops, and resources to onboard developers at all levels and promote effective tool usage. Lead Adoption & Strategy : Build strategies to integrate AI tools into dev workflows, track adoption, and identify improvement areas. Set Standards & Best Practices : Establish clear usage guidelines ensuring code quality, security, and maintainability. Promote High-Impact Use Cases : Apply AI to areas like app development, code refactoring, tech stack migration, test generation, and microservice transformation. Measure ROI : Define and track metrics like dev velocity and bug reduction to demonstrate impact and adoption success. Provide Ongoing Support : Be the go-to expert for AI coding tools, offering mentorship, troubleshooting, and continuous guidance. Stay Ahead of the Curve : Monitor emerging AI technologies and recommend tools aligned with org goals. Collaborate with Engineering Leaders : Align AI strategy with overall tech objectives in partnership with managers and architects. Domain-Specific AI Use Case Exploration : Explore domain-specific AI opportunities beyond coding, such as Gen AI, NLP, computer vision, or document classification. Qualification & Functional Skills Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related fields. 5+ years of experience in software development with strong knowledge of SDLC, architecture, and testing practices. At least 1 year of hands-on experience with AI-powered coding tools like Cursor AI, GitHub Copilot, or Windsurf AI. Excellent communication and presentation skills; able to evangelize complex concepts to both technical and non-technical audiences. Proven ability to design and deliver impactful technical training sessions and workshops. Strong analytical mindset with the ability to measure and communicate technology impact. Comfortable working independently and collaboratively in a fast-paced, evolving environment. Passionate about emerging technologies, especially in the AI space. Proficient in code refactoring, software design principles, and modern dev tools and frameworks. Preferred : Experience applying AI in domains like Gen AI, classification, computer vision, or NLP. Preferred : Familiarity with cloud platforms (AWS, Azure, GCP) and microservices architecture.

Job Description With excellent analytical and problem-solving skills, you should understand business problems of the customers, translate them into scope of work and technical specifications for developing into Data Science projects. Efficiently utilize cutting edge technologies in AI, Generative AI areas and implement solutions for business problems. Good exposure technology platforms for Data Science, AI, Gen AI, cloud with implementation experience. Ability to provide end to end technical solutions leveraging latest AI, Gen AI tools, frameworks for the business problems. This Job requires the following: Designing, developing, and implementing end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation) Deep experience in predictive analytics and statistical modeling Deep experience in successfully making use of the following: Logistic Regression Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN Essential Qualifications B-Tech or BE - computer / IT or MCA or MSC- Computer Science along with necessary certifications is preferred Technical Qualifications (Essential) At least 2 to 3 ML apps deployed in production At least 1 to 2 Gen AI apps in production. Experience in Computer vision is a must. Core ML experience is a must Hands-on programming experience Hands-on technical design experience Hands-on prompt engineering experience At least 3 Data Science, AI Projects designed, developed and delivered to production At least 1 Generative AI Project designed, developed and delivered to production Primary Skills Hands-on coding experience in Python, PyTorch, Spark/PySpark, SQL, TensorFlow, NLP Frameworks and similar tools/frameworks Good understanding of business and domain of the applications Hands-on experience in design and development of Gen AI applications using Open Source LLMs and cloud platforms Hands-on experience in design and development of API based applications for AI and Data Science Projects Expertise in GenAI concepts, RAG and Models fine-tuning techniques Understand the concepts of major AI models such as OpenAI, Llama, Hugging Face, Mistral AI etc., and implementation experience Understanding of DevOps pipelines for deployment Good understanding of Data Engineering lifecycle data pipelines, data warehouse, data lake Secondary Skills End to end data engineering project experience using Databricks and Azure Data platform Knowledge of any configuration management tools is desirable Familiarity with containerization and container orchestration services like Docker and Kubernetes Description of Responsibility Sills / Competencies requirement Functional & Technical Responsibilities Understand customer’s requirements (Business, Functional, Non-Functional etc.,), conduct feasibility study and develop technical specifications for Data Science, AI and Gen AI Projects Design and implement scalable solutions for Data Science, AI and Gen AI Projects using major technology and computing platforms (open source and cloud) Possess excellent analytical and problem-solving skills and be able to understand various forms of data, patterns and derive insights. Should be able to develop efficient Prompts to automate project activities using LLM tools and provide end to end solutions Provide Generative AI solutions for the business/automation requirements using open source LLMs (Open AI, Llama, Mistral etc.,) Collaborate internal and external stakeholders for deriving solution that requires cross functional teams and smoother execution of the projects Provide technical solutions to sales, pre-sales teams for the proposals Develop and guide team members in implementation of solutions related to Data Science, AI and Gen AI Projects Expert knowledge of data modeling and understanding of different data structures Experience with design of AI/ML solutions either as standalone or integrated with other applications Research Orientation Proactive & Clear Communication Collaboration Solution Orientation Solution Articulation Accountability Adaptability / Flexibility Analytical Skills Listening Skills Customer Service Orientation

Location - Noida Sector 16 Job Description Looking for engineers with knowledge of Artificial Intelligence, Machine Learning, and Deep Learning algorithms. Knowledge of programming language Python. Knowledge of Machine Learning/Deep Learning libraries like TensorFlow, Keras, NumPy, Pandas, scikit-learn, SciPy, etc. Basic understanding of computer vision concepts and libraries. Strong knowledge of data structures and algorithms. Strong mathematical skills. Excellent analytical and problem-solving skills. Experience with Generative AI (GenAI) and the latest developments in AI to support GIS functionality. Proficiency in Python scripting. Experience with YOLO-based live detection on video and images. Knowledge of the latest segmentation techniques to find coarse features in images and create multiple segments. Proven experience with GenAI and Large Language Models (LLMs), including speech-to-text models and multi-modal input models. Requirements Good programming skills in Python. Knowledge of TensorFlow, Theano, OpenCV, Keras, NumPy, etc. Experience with Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). Knowledge of developing and training deep neural networks. Knowledge of writing machine learning algorithms: supervised, unsupervised classification, and regression. Good communication and analytical skills. Proven experience with GenAI and LLMs. Experience with YOLO-based live detection on video and images. Knowledge of the latest segmentation techniques for image processing. Experience with speech-to-text models and multi-modal input models.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting- Global Network Practice :- Communications & Media - AI & Data Architectures Title :- Ind & Func AI Value Strategy Manager Job location :- Bangalore About S&C - Global Network:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU? Accenture has committed to invest USD 3Billion into GenAI in next 3 years. We will continually invest in your learning and growth. Youll work with Accentures highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. Youll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role AI Architecture Strategy and Assessment: Lead the development and assessment of AI architectures, ensuring they align with business goals and objectives. Evaluate existing AI solutions, identifying areas for improvement, optimization, and innovation. Operating Model Design: Design robust operating models for Generative AI implementations, considering scalability, efficiency, and business impact. Collaborate with cross-functional teams to integrate AI capabilities seamlessly into existing operational workflows. Develop comprehensive blueprints for Generative AI solutions, outlining technical specifications, data requirements, and integration points. Ensure blueprints adhere to industry best practices and standards. Roadmap Building: Create strategic roadmaps for the implementation and evolution of Generative AI solutions. Define milestones, key performance indicators (KPIs), and success criteria to measure the progress of AI initiatives. Incubating GenAI Solutions: Identify emerging trends and technologies in Generative AI and incubate innovative solutions. Work closely with research and development teams to experiment and prototype new Generative AI concepts. Oversee the end-to-end implementation of Generative AI solutions, collaborating with engineering teams to ensure successful deployment. Provide technical leadership and guidance throughout the implementation lifecycle. Qualifications Who we are looking for? Bachelors or advanced degree in Computer Science, Artificial Intelligence, or a related field. 15+ years of hands-on experience in AI, with a focus on Generative AI. Proven track record of designing and implementing successful AI solutions in real-world business environments. In-depth knowledge of AI architectures, frameworks, and tools. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities, with experience working cross-functionally. Demonstrated leadership in driving AI initiatives from conception to deployment. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques: Proficiency in Python programming language and key libraries like Pandas, TensorFlow, PyTorch, and Keras. Understanding and implemention knowledge of deep learning architectures such as CNNs, RNNs, and GANs. Good software engineering practices, including code modularization, documentation, and testing Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure can be beneficial for deploying and scaling GenAI models. If you are a visionary AI architect with a passion for innovation and a proven track record of delivering impactful Generative AI solutions, we invite you to apply and contribute to our dynamic and forward-thinking organization. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy & Consulting Team :- Global Network - Data & AI Practice :- CMT Software & Platforms Title :- Level 9 - Ind & Func AI Decision Science Consultant Job location :- Hyderabad/Bangalore About S&C - Global Network:- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition About the Software & Platforms Team :- The team is focused on driving Data & AI based solutions for SaaS and PaaS clients for Accenture. The team collaborates actively with onsite counterparts to help identify opportunities for growth as well as drives client deliveries from offshore. WHAT'S IN IT FOR YOU? As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. Youll work with experts in SaaS & PaaS and Accenture will support you in growing your own tech stack and certifications. In Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. Qualifications What you would do in this role Gathering business requirements to create high level business solution framework aligning with business objectives and goals. Monitor project progress able to plan project plan, proactively identify risks, and develop mitigation strategies. Work closely with project leads, engineers, and business analysts to develop AI solutions. Develop & test AI algorithms and techniques tailored to solve specific business problems. Present and communicate solutions and project updates to internal & external stakeholders. Foster positive client relationships by ensuring alignment between project deliverables and client expectations. Adopt a clear and systematic approach to complex issues. Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project Mentor and guide a team of AI professionals, cultivating a culture of innovation, collaboration, and excellence. Conduct comprehensive market research and stay updated on the latest advancements and trends in AI technologies. Foster the professional development of team members through continuous learning opportunities. Who are we looking for? Bachelors or masters degree in computer science, engineering, data science, or a related field. Experience working for large Software or Platform organizations. Proven experience (5+ years) in working on AI projects and delivering successful outcomes. Hands-On exposure to Generative AI frameworks (Azure Open AI, Vertex AI) and implementations & Strong knowledge of AI technologies, including Embedding, prompt engineering, natural language processing, computer vision, etc. Hands on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modelling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in statistical packages such as R, Python, Java, SQL, Spark, etc. Ability to work with large data sets and present findings / insights to key stakeholders; Data management using databases like SQL Experience in training large language models and fine-tuning for specific applications or domains. Understanding of linguistic concepts, encompassing syntax, semantics, and pragmatics, to enhance language modeling. Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Understanding of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for managing and deploying models & exposure of CI/CD pipelines for automated testing and deployment of language models. Excellent analytical and problem-solving skills, with a data-driven mindset. Strong project management abilities, including planning, resource management, and risk assessment. Proficient in Excel, MS word, PowerPoint, etc. Exceptional communication and interpersonal skills to engage effectively with clients and internal stakeholders.

Entity :- Accenture Strategy & Consulting Team :- Global Network - Data & AI Practice :- CMT Software & Platforms Title :- Level 9 - Ind & Func AI Decision Science Consultant Job location :- Hyderabad About S&C - Global Network:- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways."Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition About the Software & Platforms Team :- The team is focused on driving Data & AI based solutions for SaaS and PaaS clients for Accenture. The team collaborates actively with onsite counterparts to help identify opportunities for growth as well as drives client deliveries from offshore. WHAT'S IN IT FOR YOU? As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. Youll work with experts in SaaS & PaaS and Accenture will support you in growing your own tech stack and certifications. In Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Gathering business requirements to create high level business solution framework aligning with business objectives and goals. Monitor project progress able to plan project plan, proactively identify risks, and develop mitigation strategies. Work closely with project leads, engineers, and business analysts to develop AI solutions. Develop & test AI algorithms and techniques tailored to solve specific business problems. Present and communicate solutions and project updates to internal & external stakeholders. Foster positive client relationships by ensuring alignment between project deliverables and client expectations. Adopt a clear and systematic approach to complex issues. Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project Mentor and guide a team of AI professionals, cultivating a culture of innovation, collaboration, and excellence. Conduct comprehensive market research and stay updated on the latest advancements and trends in AI technologies. Foster the professional development of team members through continuous learning opportunities. Qualifications Job Qualifications Who are we looking for? Bachelors or masters degree in computer science, engineering, data science, or a related field. Experience working for large Software or Platform organizations. Proven experience (5+ years) in working on AI projects and delivering successful outcomes. Hands-On exposure to Generative AI frameworks (Azure Open AI, Vertex AI) and implementations & Strong knowledge of AI technologies, including Embedding, prompt engineering, natural language processing, computer vision, etc. Hands on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modelling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in statistical packages such as R, Python, Java, SQL, Spark, etc. Ability to work with large data sets and present findings / insights to key stakeholders; Data management using databases like SQL Experience in training large language models and fine-tuning for specific applications or domains. Understanding of linguistic concepts, encompassing syntax, semantics, and pragmatics, to enhance language modeling. Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Understanding of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for managing and deploying models & exposure of CI/CD pipelines for automated testing and deployment of language models. Excellent analytical and problem-solving skills, with a data-driven mindset. Strong project management abilities, including planning, resource management, and risk assessment. Proficient in Excel, MS word, PowerPoint, etc. Exceptional communication and interpersonal skills to engage effectively with clients and internal stakeholders.

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 : Google Cloud Platform Architecture Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : Total 15 years of full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. Design, develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline using python. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Ensure proper cloud application pipeline with production-ready quality. Professional & Technical Skills: Must To Have Skills:CCAI hands on experience and generative AI understanding. Good To Have Skills:Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms and techniques. Experience with chatbot , generative AI models, prompt Engineering. Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 4 -7.5 years of experience in Google Cloud Machine Learning Services and overall experience 7.5 - 9 years The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualifications Total 15 years of 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 : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BE Summary :As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models, developing deep learning and neural network models, and working on chatbots and image processing using machine learning techniques. Roles & Responsibilities: Develop and deploy AI models using machine learning techniques such as deep learning, neural networks, and chatbots. Collaborate with cross-functional teams to develop and implement AI solutions that meet business requirements. Apply GenAI models as part of the solution and ensure proper cloud or on-prem application pipeline with production-ready quality. Stay updated with the latest advancements in AI and machine learning, integrating innovative approaches for sustained competitive advantage. Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. Professional & Technical Skills: Must To Have Skills:Strong experience in Machine Learning. Good To Have Skills:Experience with deep learning, neural networks, chatbots, and image processing. Experience with Cloud AI services and tools. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools. Experience in developing and deploying AI models in a production environment. Additional Information: The candidate should have a minimum of 5 years of experience in Machine Learning. The ideal candidate will possess a strong educational background in AI/ML Computational Science, Data & AI, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Mumbai office. Qualification BE

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure OpenAI Service Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : BEBTECHMTECH Summary :As an Application Lead, you will be responsible for leading the effort to design, build, and configure applications using Microsoft Azure OpenAI Service. Your typical day will involve collaborating with cross-functional teams, managing project timelines, and ensuring the successful delivery of high-quality applications. Roles & Responsibilities:A.Lead the design, development, and deployment of applications using Microsoft Azure OpenAI Service, Azure AI Search-Cognitive Search, Azure Language Services-CLU, Microsoft Bot Framework,Microsoft Power Virtual Agents-Microsoft Copilot Studio and Azure PaaS.B.Act as the primary point of contact for the project, collaborating with cross-functional teams to ensure project timelines are met.C.Ensure the successful delivery of high-quality applications, adhering to best practices and industry standards.D.Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and growth.E.Stay updated with the latest advancements in Azure components, Microsoft Azure OpenAI Service, Azure AI Search-Cognitive Search and Azure Language Services-CLU integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills:A.Must Have Skills:Strong architectural experience with Microsoft Azure OpenAI Service, Azure AI Search-Cognitive Search, Azure Language Services-CLU and Azure PaaS.B.Must Have Skills:At least 1+ year hands on experience in Azure based LLMs with knowledge in embeddings, vectorization and semantic, vector based indexing and search.C.Must to Have Skills:Experience with conversational AI with Microsoft Bot Framework or Power Virtual Agents,Microsoft Copilot Studio. Should know how multiple components integrate with each other in an enterprise application.D.Must Have Skills:Strong understanding of software development best practices including Agile methodologies and industry standards with special focus on API, function app and logic app building. Experience with Python or C hash programming language, using Visual Studio Code IDE and Azure AI Studio.E.Good To Have Skills:Knowledge of other vector databases, Knowledge Graphs, LangChain, Semantic Kernel.F.Good To Have Skills:Experience with deployment of applications and containerization technologies such as Docker or Kubernetes.G.Good To Have Skills:Experience with all Azure AI services like Video Indexer, Computer Vision, Custom Vision, Document Intelligence, Custom QnA, Speech Services and Prompt Engineering.H.Experience with database technologies such as SQL Server, Cosmos DB and Oracle.I.Solid grasp of software testing and quality assurance principles.J.Knowledge of DevOps practices. Additional Information: The candidate should have a minimum of 12 years of experience in software development. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions. This position is based at our Bengaluru office. Qualification BEBTECHMTECH