1127 Computer Vision Jobs - Page 33

Job Summary: We are seeking a highly skilled and experienced Senior Gen AI Candidates to lead our Generative AI Technologies team. The ideal candidate will have a deep understanding of Generative AI, machine learning, and related technologies, along with a proven track record of architecting and implementing innovative solutions. You will play a pivotal role in shaping our Generative AI strategy, selecting appropriate models and technologies, and collaborating with cross-functional teams to deliver cutting-edge solutions that meet customer requirements and business objectives. Primary Skill Set: Generative AI Expertise: In-depth knowledge of various Generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other relevant architectures. Experience with both image and text generation is essential. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling. Exposure to both API based and opens source LLMs based solution design. Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. Machine Learning Mastery: Profound understanding of machine learning principles, algorithms, and frameworks. Able to design and implement models, optimize performance, and manage training pipelines effectively. Technical Proficiency: Proficiency in programming languages commonly used in AI development, such as Python, TensorFlow, PyTorch, or similar tools. Experience with cloud platforms (e.g., AWS, Azure, GCP) and distributed computing is advantageous. Architecture Design: Ability to design end-to-end Generative AI architectures that encompass data preprocessing, model selection, training pipelines, and deployment strategies. Strong grasp of scalable, reliable, and efficient system design. Secondary Skill Set: Domain Knowledge: Familiarity with the specific industry domain or vertical in which the Generative AI solutions will be applied (e.g., healthcare, finance, entertainment) is beneficial. This enables contextual understanding and tailored solution development. Data Engineering: Understanding of data engineering practices, data pipelines, and data management. Proficiency in data preprocessing, cleansing, and transformation for effective model training. Communication Skills: Excellent communication and collaboration skills to effectively interface with cross-functional teams, including data scientists, engineers, business stakeholders, and customers. Ability to convey complex technical concepts to non-technical stakeholders. Roles & Responsibilities: Generative AI Strategy: Lead the development of the Generative AI technology roadmap, identifying opportunities, evaluating potential use cases, and proposing innovative solutions that align with business goals. Model Selection: Evaluate and select appropriate Generative AI models and techniques based on the specific requirements of each project. Consider factors such as data availability, complexity, and computational resources. Architectural Design: Design comprehensive and scalable architectures for Generative AI solutions, considering components such as data preprocessing, model training, deployment, and monitoring. Solution Implementation: Collaborate with data scientists and engineers to implement Generative AI solutions, ensuring the seamless integration of models into production environments. Performance Optimization: Continuously optimize the performance of Generative AI models, addressing issues related to speed, accuracy, and resource utilization. Outcome Review: Assess the outcomes of Generative AI solutions against predefined success criteria. Iterate on models and strategies based on performance metrics and feedback. Customer Collaboration: Work closely with customer architecture and business teams to define solution requirements, technical boundaries, and SLAs. Tailor solutions to meet customer needs and address specific challenges. Team Collaboration: Collaborate effectively with cross-functional teams, providing guidance and mentorship to junior team members. Foster a collaborative and innovative work environment. Industry Awareness: Stay updated with the latest advancements in Generative AI and related technologies. Share insights with the team and incorporate emerging trends into solution design.

Job Summary: We are seeking a highly skilled and experienced Senior Gen AI Candidates to lead our Generative AI Technologies team. The ideal candidate will have a deep understanding of Generative AI, machine learning, and related technologies, along with a proven track record of architecting and implementing innovative solutions. You will play a pivotal role in shaping our Generative AI strategy, selecting appropriate models and technologies, and collaborating with cross-functional teams to deliver cutting-edge solutions that meet customer requirements and business objectives. Primary Skill Set: Generative AI Expertise: In-depth knowledge of various Generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other relevant architectures. Experience with both image and text generation is essential. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling. Exposure to both API based and opens source LLMs based solution design. Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. Machine Learning Mastery: Profound understanding of machine learning principles, algorithms, and frameworks. Able to design and implement models, optimize performance, and manage training pipelines effectively. Technical Proficiency: Proficiency in programming languages commonly used in AI development, such as Python, TensorFlow, PyTorch, or similar tools. Experience with cloud platforms (e.g., AWS, Azure, GCP) and distributed computing is advantageous. Architecture Design: Ability to design end-to-end Generative AI architectures that encompass data preprocessing, model selection, training pipelines, and deployment strategies. Strong grasp of scalable, reliable, and efficient system design. Secondary Skill Set: Domain Knowledge: Familiarity with the specific industry domain or vertical in which the Generative AI solutions will be applied (e.g., healthcare, finance, entertainment) is beneficial. This enables contextual understanding and tailored solution development. Data Engineering: Understanding of data engineering practices, data pipelines, and data management. Proficiency in data preprocessing, cleansing, and transformation for effective model training. Communication Skills: Excellent communication and collaboration skills to effectively interface with cross-functional teams, including data scientists, engineers, business stakeholders, and customers. Ability to convey complex technical concepts to non-technical stakeholders. Roles & Responsibilities: Generative AI Strategy: Lead the development of the Generative AI technology roadmap, identifying opportunities, evaluating potential use cases, and proposing innovative solutions that align with business goals. Model Selection: Evaluate and select appropriate Generative AI models and techniques based on the specific requirements of each project. Consider factors such as data availability, complexity, and computational resources. Architectural Design: Design comprehensive and scalable architectures for Generative AI solutions, considering components such as data preprocessing, model training, deployment, and monitoring. Solution Implementation: Collaborate with data scientists and engineers to implement Generative AI solutions, ensuring the seamless integration of models into production environments. Performance Optimization: Continuously optimize the performance of Generative AI models, addressing issues related to speed, accuracy, and resource utilization. Outcome Review: Assess the outcomes of Generative AI solutions against predefined success criteria. Iterate on models and strategies based on performance metrics and feedback. Customer Collaboration: Work closely with customer architecture and business teams to define solution requirements, technical boundaries, and SLAs. Tailor solutions to meet customer needs and address specific challenges. Team Collaboration: Collaborate effectively with cross-functional teams, providing guidance and mentorship to junior team members. Foster a collaborative and innovative work environment. Industry Awareness: Stay updated with the latest advancements in Generative AI and related technologies. Share insights with the team and incorporate emerging trends into solution design.

Job Overview: We are seeking an accomplished Generative AI candidate to spearhead the development, implementation, and optimization of Generative AI solutions. Primary Skill Set: Generative AI Expertise: Good understanding of various Generative AI techniques, including GANs, VAEs, and other relevant architectures. Proven experience in applying these techniques to real-world problems for tasks such as image and text generation. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling. Exposure to both API based and opens source LLMs based solution design. Technical Proficiency: Machine learning algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing (NLP): Transformer models, attention mechanisms, word embeddings Computer vision: Convolutional neural networks, recurrent neural networks, object detection Robotics: Reinforcement learning, motion planning, control systems Data ethics: Bias in machine learning, fairness in algorithms Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. LLM Pipeline Creation: Strong experience in designing data pipelines, including data preprocessing, feature extraction, and model integration. Familiarity with best practices for creating efficient and scalable pipelines. Secondary Skill Set: Software Development: Proficiency in software development practices, version control systems (e.g., Git), and collaborative coding environments. Understanding of agile methodologies is advantageous. Testing and Deployment: Familiarity with testing methodologies for AI models, including unit testing, integration testing, and model validation. Experience in deploying models to production environments. Workflow Optimization: Knowledge of workflow optimization techniques and tools to enhance development speed and efficiency. Understanding of CI/CD (Continuous Integration/Continuous Deployment) principles. Responsibilities: Prompt Engineering: Spearhead the design and development of prompt engineering strategies to influence and control the output of Generative AI models. Optimize prompts for desired results. Pipeline Design: Design end-to-end data pipelines that encompass data preprocessing, feature engineering, model training, and deployment. Ensure pipelines are efficient, scalable, and well-documented. Technical Review: Review the technical outputs generated by the team, including code, models, and pipelines. Ensure high-quality and maintainable solutions that adhere to best practices. Testing and Validation: Implement testing methodologies to validate the performance and accuracy of Generative AI models. Develop and execute unit tests, integration tests, and validation strategies. Deployment Strategy: Collaborate with DevOps and deployment teams to deploy trained models into production environments. Ensure smooth integration and monitor performance post-deployment. Workflow Optimization: Identify opportunities to optimize development workflows, enhance productivity, and streamline processes. Implement tools and practices to improve efficiency. Collaboration: Interface with cross-functional teams, including data scientists, architects, and business stakeholders. Collaborate on solution design, implementation, and project milestones. Documentation: Maintain comprehensive documentation of technical designs, code, and workflows. Ensure documentation is up-to-date, accessible, and understandable for team members.

Skills and requirements Proficiency in Python and experience with libraries such as NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization. Understanding of core machine learning algorithms, including linear/logistic regression, decision trees, random forests, SVM, KNN, K-Means, and neural networks. Experience with ML frameworks such as Scikit-learn, TensorFlow, and PyTorch for building and training models. Ability to preprocess data, including handling missing values, normalization, encoding categorical variables, and feature engineering. Knowledge of model evaluation techniques such as accuracy, precision, recall, F1-score, confusion matrix, and cross-validation. Mathematical foundation in linear algebra, probability, statistics, and basic calculus to understand and fine-tune models. Version control skills using Git/GitHub and familiarity with Jupyter Notebooks or similar development environments. Basic understanding of deep learning, computer vision, or NLP concepts (optional but preferred). Please attach your CV Upload File Here (Max. file size: 2 MB) By using this form you agree with the storage and handling of your data by this website. *

Job Title: Data Scientist Job Location: Gurgaon Educational Qualification B.E / B.Tech with Minimum 60 % marks BSC Mathematics/ Data science Experience: 4-7 Years Responsibilities: Design data-driven solutions to address business challenges. Acquire specialized knowledge in the automotive domain relevant to the problem at hand, seeking expertise from domain specialists as needed. Gain proficiency in the vehicle s IoT device, specifically the Telematics Control Unit. Develop a comprehensive understanding of Time-Series Data. Clean, prepare, and manage datasets for modelling, engaging in the ETL process when necessary. Conduct data exploration to extract insights, present findings to domain experts, identify patterns, seasonality, trends, and causality, and collaborate with domain experts to formulate and test hypotheses. Devise and refine features, evaluate their significance, and determine the machine learning strategy. Engage in data modelling, select suitable machine learning or deep learning algorithms, establish data pipelines for training, perform hyper-parameter optimization, and conduct validation and testing. Implement ensemble techniques if beneficial. Interpret and visualize data through reports and graphical plots. Provide guidance and mentorship to junior data science professionals. Technical Skills / Experience Essential Qualifications: A minimum of 4 years of industry experience in data science. Proficiency in Python programming with experience in pandas , NumPy , matplotlib , and sklearn libraries. Competence in statistical analysis , including descriptive, inferential statistics, and hypothesis testing. Practical experience in mathematical modelling and a variety of machine learning techniques, such as: o Generalized Linear Models (GLM), Boosting Algorithms, Decision Trees, Neural Networks, Support Vector Machines (SVM), and Bayesian Methods. o Econometric analysis. o Deep Learning models including Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTM), and Gated Recurrent Units (GRUs). o Unsupervised learning algorithms and image classification using computer vision. Proven track record of successful model deployment. Desirable Qualifications: Experience with accident simulation tools such as PC crash or OPENPass . Familiarity with time-series and IoT data analytics. Familiarity with LLMs Knowledge of automotive systems, vehicle fundamentals, and Controller Area Network (CAN) protocol

[{"Salary":null , "Functional_Area":"Training Development" , "Remote_Job":false , "Posting_Title":"Faculty , Wadhwani Center for Government Digital Transformation (WGDT)" , "Is_Locked":false , "City":"New Delhi" , "Industry":"Technology" , "Job_Description":" Job Overview: Position Name: Faculty, Wadhwani Center for Government Digital Transformation (WGDT) Work Location: Delhi About Wadhwani Foundation ( www.wfglobal.org ): Mission : Accelerating economicdevelopment in emerging economies through high-value job creation Objectives:Enabling the creation of 10M jobs and placement of 25M by 2030 across 20-25emerging economies Wadhwani Foundation is anot-for-profit with the primary mission of accelerating economic development inemerging economies by driving large-scale job creation throughentrepreneurship, innovation and skills development. Founded in 2000 by SiliconValley entrepreneur, Dr. Romesh Wadhwani, today the Foundation is scalingimpact in 25 countries across Asia, Africa, and Latin America through various Initiatives. More details on the various programs at theend of the document. LearningStrategy Subject Matter Expertise Work in conjunctionwith the WGDT Academy team to decide subject matter and the best methodologiesfor training the target audiences (central and state governmentbureaucrats) Create the content on Emerging Technologies such as datascience, machine learning, computer vision, natural language processing,Generative AI for a senior audience of government officials with relevantsocial sector examples and use cases. Help formulate casestudies using no/low code tools for senior policymakers. Review the learningcontent as designed by the Curriculum designer to ensure accuracy and depthfrom the subject matter perspective Research, produceand deliver high-quality learning assets like training decks, facilitatorguides, learner guides, assessments, and other supporting content LearningDelivery Demonstrate strongteaching skills for a senior audience in both a classroom and virtual classroomenvironment and be able to modify teaching styles accordingly Manage multipleteaching projects simultaneously and liaise with the stakeholders to executecourse requirements Take fullresponsibility for assigned cohorts from a classroom set up, to groupassignments, to learning intervention, and then on to data collection on usage,assessment, quality, feedback, etc. Be able to collateand illustrate points using the flipped classroom and case study methodology,as per the major requirements of adult learning Identify and addressindividual learner requirements so that there is no student left behind,which includes follow-ups for assignments, assessments, and feedback to andfrom learners Demonstrateexcellent stakeholder relationship management skills Use all moderncommunication tools like Teams, Zoom, or other learning platforms as might berequired She/he hasexperience in both in-person and online training for a senior audience. Requirements You have at least 7 years of experience You have at least 3 years of experience in the emerging technology as trainer (freelance or full time) You possess awareness and deep knowledge of the subject area including latest analytics based technologies You can instruct senior-level learners, with a talent for effectively engaging adult students of diverse ages and backgrounds. You have competency in teach technical subjects to a non-technical audience, using simple language and avoiding excessive jargon. Work in governance and policy will be an asset but is not essential Effective verbal communication skills Technicalskills: o Expert level knowledge of one or more of theEmerging Technologies such as data science, machine learning, computer vision,natural language processing, Generative AI and large language models o Knowledgeof a no/low code tools like Orange/Knime is helpful (but not essential) o Knowledgeof Python/ R is helpful (but not essential) o Abilityto handle and engage a heterogeneous participant base with maturity o Experiencein using and creating content for Virtual Learning platforms, MOOCs o Experiencein building new case studies, use cases and assessments in emerging technologyareas o Atleast a Bachelorsdegree ","Work_Experience":"07-10 years","Job_Type":"Full time" , "Job_Opening_Name":"Faculty , Wadhwani Center for

Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences. Career Level - IC5 Drives and plans implementation of company policy for achieving business goals. Defines the bar for science practices, and helps teams achieve those goals. Identifies and mitigates risks across full set of systems, particularly at the intersection of business and engineering. Innovate AI and ML powered solutions (rich APIs, ML models and end to end services) with strategic ISVs and customers. Develop deep product intuition to influence future product roadmaps and drive decision making. Clearly articulate technical work to audiences of all levels and across multiple functional areas in both internal and external settings. Engage in forward looking research both internal and with academic institutions globally. Hires and mentors across the org. Perform an active role in team planning, review and retrospective events. Ensures experiments are ready for hand-off to Software Developers ship into production. May perform other duties as assigned.

DESCRIPTION AI/ML Lead Location: Bengaluru, Karnataka, India - On-site Hiring Company Name: Ahmed Embassy Hiring Company Location: Bengaluru, Karnataka, India Job Type: Full-time Experience Level: Senior (7-10 years) Job Overview: Ahmed Embassy is seeking a highly skilled and experienced AI/ML Lead to spearhead the development and implementation of cutting-edge artificial intelligence and machine learning solutions. The ideal candidate will have a strong background in AI/ML, a proven track record of leading successful projects, and the ability to mentor and guide a team of engineers and data scientists. This role requires a blend of technical expertise, leadership capabilities, and a strategic mindset to drive innovation and contribute to the companys overall objectives. Key Responsibilities: Lead the design, development, and deployment of AI/ML models and solutions. Oversee the entire lifecycle of AI/ML projects, from conception and data gathering to model training, evaluation, and deployment. Provide technical guidance and mentorship to the AI/ML team, fostering a collaborative and innovative environment. Stay up-to-date with the latest advancements in AI/ML technologies and identify opportunities for their application. Collaborate with cross-functional teams, including product management, engineering, and business stakeholders. Ensure the quality, performance, and scalability of AI/ML solutions. Manage project timelines, resources, and budgets effectively. Educational Qualifications: Masters or Doctoral degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Must-Have Skills: Strong proficiency in programming languages such as Python, R, or Java. Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Deep understanding of machine learning algorithms, techniques, and best practices. Experience with data preprocessing, feature engineering, and model evaluation. Excellent communication, leadership, and problem-solving skills. Good-to-Have Skills: Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud). Familiarity with big data technologies (e.g., Hadoop, Spark). Experience in natural language processing (NLP) or computer vision. Experience with DevOps practices and model deployment. Pay Rate/Salary: Competitive, commensurate with experience. Number of Openings: 1 QUALIFICATIONS Must Have Skills Python R Java TensorFlow PyTorch scikit-learn Machine Learning Data preprocessing Feature engineering Model evaluation Communication Leadership Problem-solving Good To Have Skills AWS Azure Google Cloud Hadoop Spark NLP Computer vision DevOps Minimum Education Level Masters Years of Experience 7-10 years ADDITIONAL INFORMATION Pay Range: Competitive, commensurate with experience Work Type: FullTime Location: Bengaluru, Karnataka, India - On-site Job ID: Ahmed -Pag-867EB0 or to apply! 3130 Crow Canyon Pl, Ste 205, San Ramon, CA 94583 Copyright 2025 ACHNET Inc, All rights reserved. Product Services Company

Job Summary: We are seeking a highly skilled Data Scientist with deep expertise in Computer Vision, particularly with YOLO (You Only Look Once) object detection models. The ideal candidate will have experience in designing, training, and deploying YOLO-based solutions for real-time or near real-time applications. You will collaborate with cross-functional teams to develop AI models that drive innovation and efficiency across our products and platforms. Key Responsibilities: Develop and deploy state-of-the-art object detection models using YOLO (v5/v6/v7/v8). Design and execute computer vision experiments for image and video analysis, including detection, tracking, and classification. Collect, preprocess, and annotate image and video datasets tailored for computer vision tasks. Optimize model performance for deployment on edge devices, cloud services, or embedded systems. Work closely with data engineers and MLOps teams to integrate models into production pipelines. Continuously evaluate and improve models using techniques such as transfer learning, pruning, quantization, and A/B testing. Stay updated with the latest research and advancements in computer vision and deep learning. Required Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Electrical Engineering, or related field (PhD preferred). 5+ years of experience in computer vision, with a focus on object detection. Proven hands-on experience with YOLO (v5 or later), including custom training and deployment. Proficient in Python and deep learning libraries such as PyTorch, TensorFlow, or OpenCV. Experience working with GPU acceleration and cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, GCP AI Platform). Strong understanding of CNNs, image augmentation, model evaluation metrics, and visual debugging.

Required Skills & Qualifications: 4 to 12 years of experience in Data Science, Machine Learning, or AI. Proficiency in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch . Experience with ML lifecycle tools such as MLflow, Airflow, or SageMaker. Solid understanding of statistics, probability, and linear algebra . Experience working with structured and unstructured data (SQL, NoSQL, text, images, etc.). Familiarity with cloud platforms like AWS, Azure, or GCP. Strong problem-solving and analytical thinking skills.

Tech Lead - Data Scientist Chennai - Guindy, India Information Technology 17100 Overview Seeking an experienced Tech Lead Data Scientist with 7 to 9 years of industry experience, including a minimum of 34 years in Machine Learning, NLP, and LLM-Ops, to support the development and deployment of scalable AI solutions. The ideal candidate should have hands-on expertise in Python, AWS, and ML-Ops pipelines, with experience in building RAG systems and working with large language models. This role involves developing production-ready ML systems, automating model workflows, and contributing to high-impact, cloud-based AI initiatives within an agile environment. Responsibilities Lead the design, development, and optimization of end-to-end ML and NLP systems in production environments. Collaborate on the deployment of machine learning models using ML-Ops/LLM-Ops pipelines on AWS or other cloud platforms. Develop Retrieval-Augmented Generation (RAG) systems for complex NLP tasks, ensuring scalability and low-latency processing. Architect solutions for the integration and scaling of ML models in distributed environments using cloud technologies such as AWS, Azure, or Google Cloud . Maintain and enhance large-scale machine learning models in production, ensuring high availability and performance. Drive the automation of model retraining, monitoring, and validation workflows within ML-Ops pipelines. Work with cross-functional teams to create optimized, robust, and scalable machine learning solutions that directly impact the business. Requirements Technical Requirements 4+ years of hands-on experience in Machine Learning (ML), Natural Language Processing (NLP), and working with Large Language Models (LLMs) . Proficiency in Python for ML development and integration into production systems. Strong experience in deploying ML models using AWS (or other cloud platforms) with a focus on ML-Ops practices for continuous integration, deployment, and monitoring. Experience in LLM-Ops and the operationalization of large language models in production environments. Proficiency in developing RAGs (Retrieval-Augmented Generation) systems or similar knowledge-enhanced retrieval frameworks. Strong foundation in software development best practices for AI/ML, including testing, optimization, and performance tuning. Familiarity with cloud services and tools like S3, Lambda, Kubernetes , and Docker for scalable deployments. Preferred Qualifications Hands-on experience with Computer Vision or Reinforcement Learning techniques is a plus. Familiarity with database management using Oracle or PL/SQL . Experience with Agile development processes and tools such as Jira and Confluence . Ability to manage and prioritize multiple projects in a fast-paced, agile environment with a focus on high-quality delivery. Must-Have Qualifications Bachelor's or Master's degree in computer science, Data Science, or related fields from a reputed institution (IIT, DCE, NIT, or equivalent). Proven experience in the full ML lifecycle , from research to production, with a focus on performance, scalability, and robustness. Strong analytical and problem-solving skills, with a creative and entrepreneurial mindset.

Senior AI/ML Engineer Chennai, India Information Technology 17102 Overview Seeking an experienced Senior AI/ML Engineer with 3 to 5 years of industry experience, including a minimum of 23 years in Machine Learning, NLP, and LLM-Ops, to support the development and deployment of scalable AI solutions. The ideal candidate should have hands-on expertise in Python, AWS, and ML-Ops pipelines, with experience in building RAG systems and working with large language models. This role involves developing production-ready ML systems, automating model workflows, and contributing to high-impact, cloud-based AI initiatives within an agile environment. Responsibilities Design, develop, and optimize end-to-end machine learning and NLP solutions for production-grade systems. Collaborate on deploying ML models through ML-Ops/LLM-Ops pipelines on AWS or other cloud platforms. Build and implement Retrieval-Augmented Generation (RAG) systems to solve complex NLP tasks, ensuring scalability and low-latency performance. Contribute to the integration and scaling of ML models in distributed environments using cloud technologies like AWS, Azure, or GCP. Maintain and fine-tune large-scale machine learning models in production, ensuring reliability and performance. Support automation of model retraining, monitoring, and validation workflows within ML-Ops pipelines. Work closely with cross-functional teams to deliver robust, efficient, and business-impacting AI/ML solutions. Requirements Technical Requirements 2+ years of hands-on experience in Machine Learning (ML), Natural Language Processing (NLP), and working with Large Language Models (LLMs) . Proficiency in Python for ML development and integration into production systems. Strong experience in deploying ML models using AWS (or other cloud platforms) with a focus on ML-Ops practices for continuous integration, deployment, and monitoring. Experience in LLM-Ops and the operationalization of large language models in production environments. Proficiency in developing RAGs (Retrieval-Augmented Generation) systems or similar knowledge-enhanced retrieval frameworks. Strong foundation in software development best practices for AI/ML, including testing, optimization, and performance tuning. Familiarity with cloud services and tools like S3, Lambda, Kubernetes , and Docker for scalable deployments. Preferred Qualifications Hands-on experience with Computer Vision or Reinforcement Learning techniques is a plus. Familiarity with database management using Oracle or PL/SQL . Experience with Agile development processes and tools such as Jira and Confluence . Ability to manage and prioritize multiple projects in a fast-paced, agile environment with a focus on high-quality delivery. Must-Have Qualifications Bachelor's or Master's degree in computer science, Data Science, or related fields from a reputed institution (IIT, DCE, NIT, or equivalent). Proven experience in the full ML lifecycle , from research to production, with a focus on performance, scalability, and robustness. Strong analytical and problem-solving skills, with a creative and entrepreneurial mindset.

Lead AI/ML Engineer Bangalore, India Information Technology 17101 Overview Seeking an experienced Lead AI/ML Engineer with 5 to 7 years of industry experience, including a minimum of 34 years in Machine Learning, NLP, and LLM-Ops, to support the development and deployment of scalable AI solutions. The ideal candidate should have hands-on expertise in Python, AWS, and ML-Ops pipelines, with experience in building RAG systems and working with large language models. This role involves developing production-ready ML systems, automating model workflows, and contributing to high-impact, cloud-based AI initiatives within an agile environment. Responsibilities Key Responsibilities Lead the design, development, and optimization of end-to-end ML and NLP systems in production environments. Collaborate on the deployment of machine learning models using ML-Ops/LLM-Ops pipelines on AWS or other cloud platforms. Develop Retrieval-Augmented Generation (RAG) systems for complex NLP tasks, ensuring scalability and low-latency processing. Architect solutions for the integration and scaling of ML models in distributed environments using cloud technologies such as AWS, Azure, or Google Cloud . Maintain and enhance large-scale machine learning models in production, ensuring high availability and performance. Drive the automation of model retraining, monitoring, and validation workflows within ML-Ops pipelines. Work with cross-functional teams to create optimized, robust, and scalable machine learning solutions that directly impact the business. Requirements Technical Requirements 3+ years of hands-on experience in Machine Learning (ML), Natural Language Processing (NLP), and working with Large Language Models (LLMs) . Proficiency in Python for ML development and integration into production systems. Strong experience in deploying ML models using AWS (or other cloud platforms) with a focus on ML-Ops practices for continuous integration, deployment, and monitoring. Experience in LLM-Ops and the operationalization of large language models in production environments. Proficiency in developing RAGs (Retrieval-Augmented Generation) systems or similar knowledge-enhanced retrieval frameworks. Strong foundation in software development best practices for AI/ML, including testing, optimization, and performance tuning. Familiarity with cloud services and tools like S3, Lambda, Kubernetes , and Docker for scalable deployments. Preferred Qualifications Hands-on experience with Computer Vision or Reinforcement Learning techniques is a plus. Familiarity with database management using Oracle or PL/SQL . Experience with Agile development processes and tools such as Jira and Confluence . Ability to manage and prioritize multiple projects in a fast-paced, agile environment with a focus on high-quality delivery. Must-Have Qualifications Bachelor's or Master's degree in computer science, Data Science, or related fields from a reputed institution (IIT, DCE, NIT, or equivalent). Proven experience in the full ML lifecycle , from research to production, with a focus on performance, scalability, and robustness. Strong analytical and problem-solving skills, with a creative and entrepreneurial mindset.

Job Title - S&C Global Network - AI - Hi Tech - Data Science Senior Analyst Management Level:10-Senior Analyst Location:Bengaluru Must-have skills: Prompt Engineering Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU We are seeking a skilled and experienced Senior Data Scientist to join our Hi-Tech practice. The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, medical technology. As a Senior Data Scientist, you will be responsible for developing AI models/applying GenAI techniques in areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. You will be leading design and delivery on client projects. What you would do in this role Develop and implement AI models and GenAI applications to address business challenges in semiconductors, enterprise technology, consumer technology, medical technology and related industries. Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments. Create industry-leading points-of-view in the client domains you are working on that ensures our positioning as a value-partner Design and implement GenAI based solutions through contextual prompt engineering and prompt tuning and supporting solution architects on the design of GenAI-powered solutions/assets. Utilize your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions. Design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques. Architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems. Leverage cloud platforms, with preference for Azure/GCP, and experience with AWS is also valued. Stay updated on emerging technologies and industry trends, contributing to continuous improvement initiatives within the organization. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven track record of developing AI models in areas such as channel analytics, marketing & customer experience, supply chain analytics, predictive maintenance, production optimization, and connected products. Strong proficiency in Python programming, with experience in NLP and Computer Vision. Exposure to PLM/ERP/CRM systems and understanding of their integration with AI solutions. Experience with cloud platforms, preferably Azure/GCP, and familiarity with AWS. Knowledge of LLM exposure and experience with tools such as ChatGPT, Llama 2, Claude 2, Hugging Face, etc. for prompt engineering, prompt tuning, etc will be an advantage. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience:Minimum 4 Years Educational Qualification:Minimum 15 Years of Education

Management Level: Ind & Func AI Decision Science Analyst Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 1-3 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 1-3 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 1-3 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

Management Level: Ind & Func AI Decision Science Analyst Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 1-3 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 1-3 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 1-3 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

0px> Who are we? In one sentence Our Consultant role provides services for Amdocs and 3rd party applications, also runs programs, applies functional business standard methodologies to transform business processes, crafts and leads change to restructure and transform organizations and achieves business objectives. What will your job look like? Develop and Implement AI Models: o Design, develop, and deploy generative AI models and machine learning algorithms to address various business needs. o Developing and maintaining documentation for prompt generation processes and best practices o Design and deliver cutting-edge AI systems to solve some of our clients most challenging business problems o Deliver production-grade, mature AI/ML solutions for our clients at scale, built with automated, repeatable processes o Take ownership of and drive key architecture decisions around the AI/ML lifecycle (build, test, deploy, and monitor) o Utilize best-of-breed practices, tools, and cloud solutions. Performance Optimization: o Optimize AI models for performance, scalability, and accuracy. o Continuously improving prompt quality, performance and the overall AI prompt generation process o Analyzing user feedback and data to identify areas for improvement in prompt quality and performance o Optimal performant AI model selection by Evaluation. Research and Innovation: o Stay updated with the latest advancements in AI and ML, and apply cutting-edge techniques to improve existing models and create new solutions. o Conducting research on natural language processing and machine learning techniques to enhance prompt generation Collaboration: o Collaborating with content, product and data teams to align prompts with company goals and user needs o Collaborating with data scientists and machine learning engineers to develop and improve AI models Documentation and Reporting: o Document AI models, processes, and findings, and present them to stakeholders All you need is... Requirements and skills Educational Background o Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Technical Skills: o Proficiency in programming languages such as Python/ R/ Java o Proficiency in data management and querying languages ( SQL / Pyspark) o Good understanding in DataOps, ModelOps and DevOps. o Experience with AI/ML frameworks and libraries like TensorFlow, PyTorch, Keras, and Scikit-learn. o Experience using large language models like gemma, llama, anthropic. o Experience using frameworks like Langchain, langgraph, RAG with cloud AI platforms (AWS SageMaker, GCP AI Platform, Azure ML) to architect AI solutions o Experience in deploying LLM based bots on web, integration with MSFT Powerapps. o Experience in containerization of LLM powered apps. o Proven work experience as a Prompt Engineer or similar role. o Strong understanding of generative models (e.g., GANs, VAEs) and deep learning techniques. o Knowledge of natural language processing (NLP) and computer vision. o Handson experience in Agentic AI Framework o Proven Data engineering experience. o More than 3 years of professional experience with cloud technologies (AWS, GCP, Azure) o Relevant training and/or certifications in computer science, AI or a related field o Knowledge of automated testing and monitoring solutions o Experience with open-source modeling frameworks (ex. TensorFlow, Keras, PyTorch, Scikit-learn) o Experience in developing agentic AI solutions Communication o Strong verbal and written communication skills o Ability to collaborate effectively with cross-functional teams o Excellent verbal and written communication skills to convey technical concepts to non-technical stakeholders. Why you will love this job: You will be able to use your specific insights to lead business change on a large scale and drive transformation within our organization. You will be a key member of a global, dynamic and highly collaborative team with various possibilities for personal and professional development. You will have the opportunity to work in multinational environment for the global market leader in its field! We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

[{"Salary":null , "Remote_Job":false , "Posting_Title":"Staff ML Engineer (Computer Vision)" , "Is_Locked":false , "City":"Bangalore North","Industry":"IT Products","Job_Description":" About the Role: Maximl\u2019s ML Engineering Team is looking to hire a Staff ML Engineer (Computer Vision) that can take on a technical leadership role within the team. Key Responsibilities Architect and design end-to-end CV systems Lead the definition of system-level requirements, data flows, model architectures, and deployment pipelines to ensure scalable, maintainable, and high-performance computer-vision solutions. Drive research & innovation Stay abreast of the latest academic and industry advances in computer vision, like - object detection, segmentation, visual-language models, reasoning, OCR, video processing etc.\u2014evaluate and integrate promising new techniques. Prototype and validate new models Rapidly develop proof-of-concepts, run thorough A/B experiments, and establish robust evaluation benchmarks to de-risk technology choices before production. Optimize for production at scale Lead efforts to compress, quantize, and accelerate models for cloud GPUs/TPUs and edge devices; integrate with CI/CD, automated testing, and containerized MLOps frameworks. Mentor and coach engineers Provide technical leadership through code reviews, design reviews, brown-bag talks, and best-practice guidelines; help mid- and junior-level engineers grow their CV expertise and career. Collaborate cross-functionally Work closely with product engineering teams, solution delivery, customer success and end customers to translate business requirements into technical specs, ensure data quality and availability, and deliver features that solve real customer safety-compliance problems. Define and enforce coding standards Establish style guides, testing protocols, performance budgets, and documentation standards for CV projects; champion reproducibility and clean, well-documented code. Lead technical architecture decisions Evaluate and select frameworks, libraries, annotation tools, and compute infrastructure; balance trade-offs between flexibility, performance, and cost. Monitor and improve model performance Set up monitoring dashboards and alerting for model drift, accuracy regressions, and runtime failures; spearhead root-cause analyses and continuous retraining strategies. Requirements 6-8 years prior experience building, deploying and managing production-scale Computer Vision (CV) systems using modern deep learning models and MLOps tools and deployed on cloud infrastructure (AWS/GCP/Azure). Has trained and deployed in production, computer vision models for use-cases like object detection, visual question answering, image classification, visual attribute extraction, text detection & extraction / OCR etc. Practical experience working on model optimization for high-performance/low-cost inference for cloud GPUs. Prior experience with multiple of the following: YOLO, TensorFlow, PyTorch, NVidia TensorRT, Triton Server etc. Practical experience leading team of ML Engineers / Data Scientists Experience optimizing models for mobile/edge devices. Benefits Flexible Working Hours Health Insurance Accidental Insurance Subsidised Food Options Unlimited Beverages ","Work_Experience":"6+ years","Job_Type":"Full time","Job_Opening_Name":"Staff ML Engineer (Computer Vision)" , "State":"Karnataka" , "Country":"India" , "Zip_Code":"560038" , "id":"65263000005424060" , "Publish":true , "Date_Opened":"2025-05-29" , "Keep_on_Career_Site":false}]

Job Title AI Engineer - I/II Job Description Your role: Experience in developing NLP algorithms, AI based Computer Vision applications Experience in NLP techniques for text representation (such as n-grams, bag of words, sentiment analysis etc), semantic extraction techniques, data structures and modeling Experience in using GenAI techniques like Auto encoders, Transformers, LLMs, RAG Architecture Experience and understanding of MLOps, AI algorithm inferencing and deployments on the Cloud (AWS, Azure or GCP) Excellent understanding of machine learning techniques and algorithms like k-NN, SVM, Random Forest, privacy models, etc. Experience in CV based Deep Learning models like Unet, YOLO etc Understanding exploratory data processing techniques such as cleaning and verifying the integrity of data used for analysis Understanding of state-of-the-art computer vision, NLP and AI for imaging algorithms Youre the right fit if: 7-10 years experience in AI and Data Science field Masters in computers, electronics, electrical engineering or PhD in relevant streams Good applied statistics skills, such as distributions, statistical testing, regression, etc. Experience in building and optimizing reactive and predictive models with Machine Learning techniques Experience with one or more analytic software tools or languages like Python, R Experience with machine learning frameworks, like Keras or PyTorch and Deep Learning based libraries for imaging Strong analytical, problem solving and communication skills How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. this role is an office role. If you re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here . #LI-EU #LI-Hybrid #LI-PHILIN

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will engage in the assessment of artificial intelligence systems to ensure they meet established thresholds and benchmarks concerning responsible, ethical, and sustainable practices. Your typical day will involve designing and implementing technology mitigation strategies that uphold ethical and responsible standards, contributing to the development of AI systems that prioritize societal well-being and integrity. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to ensure alignment on responsible AI practices.- Conduct regular audits of AI systems to identify areas for improvement in ethical standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Good To Have Skills: Experience with AI ethics frameworks.- Strong understanding of machine learning principles and their implications for responsible AI.- Familiarity with regulatory requirements related to AI and data usage.- Experience in developing and implementing ethical guidelines for AI systems. Additional Information:- The candidate should have minimum 2 years of experience in Responsible AI.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. A typical day involves evaluating AI systems and implementing strategies to uphold ethical standards. 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.- Expected to provide solutions to problems that apply across multiple teams.- Develop and implement responsible AI frameworks.- Conduct audits on AI systems to ensure compliance with ethical standards.- Lead initiatives to promote responsible and sustainable AI practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Strong understanding of AI ethics and responsible practices.- Experience in implementing technology mitigation strategies for AI systems.- Knowledge of AI governance frameworks.- Familiarity with AI bias detection and mitigation techniques. Additional Information:- The candidate should have a minimum of 12 years of experience in Responsible AI.- 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 12 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to optimize efficiency. 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 12 years of experience in Large Language Models.- This position is based at our Gurugram 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 15 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 generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior professionals to foster their growth and development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services and tools.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience in developing and deploying chatbots and conversational agents.- Familiarity with image processing techniques and tools. Additional Information:- The candidate should have minimum 15 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 : Computer Vision 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 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. 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 cutting-edge AI/ML solutions.- Stay updated on the latest AI/ML trends and technologies.- Mentor junior team members in AI/ML best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Computer Vision.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Computer Vision.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Bachelor's or master’s degree in computer science, AI/ML, Data Science, or related field. 5+ years of experience in AI/ML solution design and development. Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong programming skills in Python, R, or Java. Hands-on experience with cloud platforms (AWS, Azure, GCP). Solid understanding of data engineering concepts and tools (Spark, Hadoop, Kafka, etc.). Experience with MLOps practices, including CI/CD for AI models. Strong problem-solving, communication, and leadership skills. Preferred Qualifications AI/ML certifications (AWS Certified Machine Learning, Google Professional ML Engineer, etc.) Experience in natural language processing (NLP) or computer vision. Knowledge of AI governance and ethical AI practices. Familiarity with AI model explainability and bias detection.