800 Neural Networks Jobs - Page 4

You are a dynamic and solution-driven Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics (IVA/AI) with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions by leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. As a Computer Vision Engineer at our organization, you will play a critical role in the entire lifecycle of our products, from ideation to development, production, and deployment. You will be a part of our internal Computer Vision/Video Analytics team, which specializes in applied research and is central to the perception algorithms deployed across our products. Your responsibilities will include leading and mentoring a team of engineers, collaborating with cross-functional teams to design and implement algorithms using C/C++, OpenCV, and TensorFlow, integrating video analytics solutions with existing systems or platforms, executing AI algorithms using various platform-specific frameworks, troubleshooting issues, providing technical support during integration and deployment phases, and researching new technologies and methodologies to enhance video analytics capabilities. To be successful in this role, you should have a minimum of 2 years of experience and hold a qualification in B.E/B.tech/M.E/M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE) or a related field. You must possess good experience in Deep Learning/Computer Vision projects, working exposure with Neural networks, CNN, and experience with deep learning frameworks such as Tensorflow, PyTorch, or Keras. Additionally, having programming skills using Python and C++, exposure to projects like Object Detection/Motion Detection/Face Recognition, and experience optimizing deep learning models for embedded form factors would be advantageous. You should also have a superhuman thirst for learning and be proactive in scouting for ideas and keeping up-to-date with advancements in the field. Join our team of like-minded engineers, applied researchers, and technocrats who share the will, courage, and madness to achieve our mission of designing, developing, and manufacturing world-class technology products for customers worldwide, right from India. If you are an innovative and tech-savvy individual looking for a challenging and rewarding environment, apply now to be part of our incredible journey!,

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 : Natural Language Processing (NLP) 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 on various aspects of AI, including deep learning, neural networks, and image processing, while also integrating generative AI models into your projects. Collaboration with cross-functional teams will be essential as you contribute to innovative solutions that address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing processes and methodologies to drive efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services, particularly in deploying AI solutions.- Familiarity with data preprocessing and feature engineering techniques.- Ability to design and implement scalable machine learning models. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- 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 : Machine Learning 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 on various aspects of AI, including deep learning, neural networks, and image processing, while also integrating generative AI models into your projects. Collaboration with cross-functional teams will be essential as you contribute to innovative solutions that address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing processes and methodologies to drive efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services, particularly in deploying AI solutions.- Familiarity with data preprocessing and feature engineering techniques.- Ability to design and implement scalable machine learning models. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Join this dynamic Quant profile to contribute to the Global Markets Planning & Analysis Group, with teams located in New York, London, and Mumbai, while being stationed at Corporate and Investment Banking Research & Analytics in Mumbai. As an Associate within the Modeling Center of Excellence team, you will be working in a team of roughly 25 individuals and be responsible for the design, engineering, industrialization and support of the Quantitative Framework for the CCAR/ICAAP regulatory process, while also exploring opportunities to further leverage it into other activities such as the planning and forecast processes, ad hoc analysis for senior management and other strategic initiatives to support the businesses. The team is based out of L&T office of J.P. Morgan in Powai, Mumbai. You will need to work closely with stakeholders in London and New York, partnering and supporting them just as a direct extension of the team sitting out of Mumbai. You will also be able to interact with JPMorgans Quantitative Research team in Mumbai and benefit from their experience. Job Responsibilities: - Perform in-depth data analysis, using statistical and machine learning modeling techniques (regression, decision tree, ECM, neural networks, regime switching, etc.), to creatively build predictive or explanatory models - Devise/improve models on new/existing regression models. This includes coding the entire statistical methodology in R, Python - Translate business needs into quantitative analyses and tools; communicate complex results to senior stakeholders in a clear and precise manner - Work independently and collaboratively to establish close partnerships with peers across the greater CIB organization and Global Treasury. - Develop metrics and statistical model prototypes that can be used to drive business decisions. - Lead and participate in ad-hoc projects as needed by senior management or regulatory initiatives - Clearly document the code of the tools created; Publish and maintain clear user documentation; Write the official Model documentation and interact with the Model Governance group for review and approval; Ensure full SIT / UAT and Change controls of tools Required Qualifications, Skills and Capabilities: - Experience of working on Python/R statistical, analytical and machine learning libraries. - Experience of working on probability theory, statistics and machine learning. - Close attention to detail and ability to work to very high standards - Strong quantitative and analytical skills - Strong communication skills (both written and verbal) and ability to present findings to a non-technical audience - Candidates for these positions should be graduates/post-graduates with good academic records from esteemed universities with some exposure to finance/actuaries/accounting and/or derivatives. - Strong knowledge of Equities, FX, Rates, Fixed Income or Commodities,

Notice Period : Early joiners A Generative AI Developer specializing in Azure-based chatbot development is responsible for designing, building, and deploying AI-powered conversational agents using Microsoft Azure AI services . They leverage natural language processing (NLP), large language models (LLMs), and cloud-based AI tools to create chatbots that enhance user experience and automate interactions. Key Responsibilities Design and develop AI-powered chatbots using Azure OpenAI, Azure Bot Service, and Cognitive Services. Implement natural language understanding (NLU) and natural language generation (NLG) for intelligent conversation handling. Fine-tune GPT-based models and integrate them with business applications. Optimize chatbot performance by training models, improving responses, and handling edge cases. Deploy and manage chatbots using Azure Machine Learning, Azure Functions, and Kubernetes. Integrate chatbots with databases, APIs, and enterprise applications (e.g., Dynamics 365, Microsoft Teams, or custom apps). Ensure chatbot security, compliance, and scalability in Azure cloud environments. Monitor chatbot analytics using Azure Monitor, Application Insights, and Power BI.

Roles and Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation. Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs. Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization. Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production. Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices. Qualifications Required Educational Background: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus. Experience: 12 - 16 Years of experience in machine learning, with 8+ years in designing and implementing generative AI models or working specifically with transformer-based models. Skills and Experience Required Generative AI: Transformer Models, GANs, VAEs, Text Generation, Image Generation Machine Learning: Algorithms, Deep Learning, Neural Networks Langchain, GPT-4, Sagemaker/Bedrock Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning

Role: AI Solutions Architect - R&D Vacancies: 11 Year of Passing Out: 2025, 2024, 2023 Education: Bachelors/Masters/PhD in AI & Data Science, Machine Learning, Mathematics and Statistics. Job Location: Mandaveli, Chennai Key Responsibilities: - Architect scalable transformer-based AI model infrastructures. - Lead the development of an in-house AI framework and utilize it to build robust, scalable foundation models. - Collaborate with researchers to translate advanced research into robust, scalable architectures. - Evaluate existing AI infrastructures, propose enhancements, and optimize model deployments for performance, efficiency, and scalability. - Design and implement robust AI pipelines and workflows from prototyping through experimentation phases. - Develop novel frameworks and algorithms tailored to specific research goals. - Systematic exploration of scaling laws and hyperparameter configurations to optimize model performance and efficiency. - Provide technical leadership and mentorship on AI infrastructure and architectural decisions. - Stay abreast of the latest AI technologies, research developments, and emerging frameworks. Required Skills and Qualifications: - Strong logical reasoning and analytical skills. - Solid foundation in Mathematics including calculus, probability, statistics, and linear algebra. - Proficiency or willingness to learn programming languages such as Rust and CUDA for high-performance implementations. - Excellent problem-solving, and analytical skills. - Demonstrated ability to work in a collaborative, fast-paced research-driven environment. - Bachelors/Masters/PhD in AI & Data Science, Machine Learning, Mathematics and Statistics. What We Offer: - A dynamic and innovative work environment in a cutting-edge AI research team. - Opportunities for professional growth, mentorship, and learning. - Competitive salary and benefits. - Access to the latest tools and technologies in AI. Important: Please read the guidelines clearly before applying: https://blubridge.ai/join-our-team

Zipaworld is looking for AI/ML Intern to join our dynamic team and embark on a rewarding career journeyAssist in day-to-day departmental operations under the guidance of assigned mentors or supervisors.Support in research, data collection, documentation, and analysis tasks relevant to the assigned function or project.Learn and apply industry-relevant tools, techniques, and procedures as per organizational standards.Participate in team meetings, training sessions, and knowledge-sharing activities to gain practical exposure.Collaborate with different teams to understand workflow and contribute to short-term project goals.

Location: Pune Designation: Senior Consultant Entity: Deloitte Touche Tohmatsu India LLP Y our potential, unleashed. India s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The Team Deloitte s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Job Description: Solid understanding in advances ML and Deep Learning principals. Practical application skills in creating image classification, object detection, semantic segmentation, LLM, multi-agent, multi-task, multi-modal neural networks. Prior experience in ML development cycle (from data collection strategy to deployment e.g. on edge) Experience in deploying neural networks. Been part of designing and scaling MLOps pipelines using AWS Sagemaker, Kubernetes and Openshift Experience in testing ML models and CI/CD based development pipelines. Programming skills needed - Python. Key Skills - AI, ML, NLP, Speech Processing, Computer Vision, Time Series analysis, Cloud computing, CI/CD, Python How you ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report . Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone s welcome entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you re applying to. Check out recruiting tips from Deloitte professionals.

About the Role: Grade Level (for internal use): 12 Lead Agentic AI Developer LocationGurgaon, Hyderabad and Bangalore About The Role : A Lead Agentic AI Developer will drive the design, development, and deployment of autonomous AI systems that enable intelligent, self-directed decision-making. Their day-to-day operations focus on advancing AI capabilities, leading teams, and ensuring ethical, scalable implementations. Responsibilities AI System Design and Development Architect and build autonomous AI systems that integrate with enterprise workflows, cloud platforms, and LLM frameworks. Develop APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Team Leadership and Mentorship Lead cross-functional teams of AI engineers, data scientists, and developers. Mentor junior staff in agentic AI principles, reinforcement learning, and ethical AI governance. Customization and Advancement Optimize autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Fine-tune LLMs, multi-agent frameworks, and feedback loops to align with business goals. Ethical AI Governance Monitor AI behavior, audit decision-making processes, and implement safeguards to ensure transparency, fairness, and compliance with regulatory standards. Innovation and Research Spearhead R&D initiatives to advance agentic AI capabilities. Experiment with emerging frameworks (e.g.,Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems. Documentation and Thought Leadership Publish technical white papers, case studies, and best practices for autonomous AI. Share insights at conferences and contribute to open-source AI communities. System Validation Oversee rigorous testing of AI agents, including stress testing, adversarial scenario simulations, and bias mitigation. Validate alignment with ethical and performance benchmarks. Stakeholder Leadership Collaborate with executives, product teams, and compliance officers to align AI initiatives with strategic objectives. Advocate for AI-driven innovation across the organization. What Were Looking For : REQUIRED S/QUALIFICATIONS Technical Expertise : 8+ years as a Senior AI Engineer , ML Architect , or AI Solutions Lead , with 5+ years focused on autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Expertise in Python (mandatory) and familiarity with Node.js . Hands-on experience with autonomous AI tools LangChain, Autogen, CrewAI, or custom agentic frameworks. Proficiency in cloud platforms AWS SageMaker (most preferred), Azure ML, or Google Cloud Vertex AI. Experience with MLOps pipelines (e.g., Kubeflow, MLflow) and scalable deployment of AI agents. Leadership Proven track record of leading AI/ML teams, managing complex projects, and mentoring technical staff. Ethical AI Familiarity with AI governance frameworks (e.g., EU AI Act, NIST AI RMF) and bias mitigation techniques. Communication Exceptional ability to translate technical AI concepts for non-technical stakeholders. Nice to have : Contributions to AI research (published papers, patents) or open-source AI projects (e.g., TensorFlow Agents, AutoGen). Experience with DevOps/MLOps toolsKubeflow, MLflow, Docker, or Terraform. Expertise in NLP, computer vision, or graph-based AI systems. Familiarity with quantum computing or neuromorphic architectures for AI. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

Company: Mercer Description: 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 skillsSelf-motivated, quick learner and strong team player with ability to work with minimal supervision. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Join us as an AI Developer to design, build, and deploy ML/DL models for NLP, automation, and analytics. Work with cutting-edge tech in a collaborative team, driving impactful solutions in governance. Location: Pune or Panaji. Full-time, in-office.

About The Role Analyze and transform data science prototypes Develop ML applications as per requirements Run machine learning tests and experiments Perform analysis and fine-tuning of models using test results Train and retrain ML models when necessary Primary Skills Experience working on Cloud platforms, preferably AWS Proven experience as Machine Learning Engineer Experience in AWS Sagemaker Understanding of data structures, data modeling and software architecture Ability to write robust code in Python Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills

At EY, you will have the opportunity to shape a career that reflects your uniqueness, supported by a global network, inclusive environment, and cutting-edge technology to help you reach your full potential. Your individual voice and perspective are vital in contributing to EY's continuous improvement. By joining us, you will not only create an exceptional journey for yourself but also play a part in building a better working world for everyone. EY GDS's Tax Innovation, Solutions, and Technology (IST) group, along with the Tax Tech Transformation (TTT) team, is dedicated to developing, implementing, and integrating innovative technology solutions that cater better to our clients and engagement teams. As a member of EY's core Tax practice, you will gain in-depth tax technical knowledge and excel in database management, data analytics, and programming skills. The ever-evolving regulatory landscape demands tax departments to handle a vast amount of data more efficiently. Gathering, organizing, and analyzing data to meet complex regulations often involves data from various systems and departments within an organization. Managing this diverse and extensive data can be a significant challenge for companies. As part of EY's GDS IST and TTT teams, you will collaborate closely with partners, clients, and tax experts to develop and integrate technology solutions that enhance value, streamline processes, and equip clients with cutting-edge tools to support their tax needs. Your role will involve applying machine learning techniques to derive actionable insights, coding in Python and R, managing the end-to-end model development process, and designing systems to process large datasets for machine learning applications. You will also work on statistical methods, simulation models, and engage with stakeholders to understand business requirements and present solutions effectively. To excel in this position, you should have at least 2 years of overall experience, with hands-on expertise in Machine Learning and Artificial Intelligence tools like neural networks, deep learning, and regression. Proficiency in programming languages such as R and Python, along with experience in end-to-end ML projects, is essential. A Master's degree in Statistics/Mathematics or a Bachelor's/Master's degree in Science/Engineering/MCA is required for this role. Additionally, exposure to cloud platforms like Azure or AWS and strong communication skills are desirable qualities. EY offers a dynamic and global work environment where you can collaborate with diverse teams on exciting projects, develop new skills, and contribute to building a better working world. Join us at EY and be part of a forward-thinking team that values commercial acumen, technical expertise, and a passion for continuous learning in a fast-paced setting. You will have the opportunity to work with leading businesses across various industries and contribute to EY's mission of creating a better working world through trust, innovation, and inclusive practices.,

As a Machine Learning Engineer at ClearTrail, you will be a part of a team dedicated to developing solutions that empower law enforcement and federal agencies globally to keep their people, places, and communities safe. With over 21 years of experience in safeguarding nations and enriching lives, ClearTrail is leading the way in the future of intelligence gathering through artificial intelligence and machine learning-based lawful interception & communication analytics solutions. Your role will involve developing end-to-end machine learning pipelines for a variety of analytics problems, refining models, and implementing solutions. You will be responsible for communicating results to both technical and non-technical audiences, providing expertise in large language models (LLMs), such as OpenAI models, and utilizing retrieval augmented generation techniques to enhance LLM performance. Additionally, you will stay updated with the latest advancements in AI, demonstrate strong problem-solving and code debugging skills, and have practical experience with proprietary and open-source generative AI models like transformers and GPT models. The ideal candidate for this position should have 2-4 years of experience as a Machine Learning Engineer with expertise in LLMs. You should possess a Bachelor's degree in computer science & engineering, sound theoretical and practical knowledge of machine learning algorithms, and hands-on experience with LLM applications. Mandatory skills include proficiency in Python, Scikit-Learn, PyTorch, LangChain, and Transformers libraries, as well as experience in exploratory data analysis, neural networks, hyperparameter tuning, model deployment, and SQL. Join us at ClearTrail in Indore, M, and be a part of a dynamic team that is shaping the future of intelligence gathering and making a difference in the world.,

As a Senior ML Scientist in the Advertising Optimization & Automation Science team at Wayfair, you will play a crucial role in leveraging machine learning and generative AI to streamline campaign workflows. Based in Bangalore, India, you will contribute to building intelligent systems that drive personalized recommendations and campaign automation within Wayfair's advertising platform. Your responsibilities will include designing and implementing intelligent budget, tROAS, and SKU recommendations, as well as simulation-driven decisioning to enhance advertiser outcomes and unlock substantial commercial value. In collaboration with cross-functional teams, you will lead the development of GenAI-powered creative optimization and automation to drive incremental ad revenue and improve supplier outcomes. Additionally, you will elevate technical standards by promoting best practices in ML system design and development across the team. The ideal candidate for this role possesses a Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or a related field, along with 9+ years of experience in building large-scale machine learning algorithms. You should have a strong theoretical understanding of statistical models and ML algorithms, proficiency in programming languages such as Python, and experience with relevant ML libraries like TensorFlow and PyTorch. Strategic thinking, customer-centric mindset, and a desire for creative problem-solving are essential qualities for success in this position. Additionally, you should be adept at influencing senior-level stakeholders, possess excellent communication skills, and demonstrate the ability to shape technical roadmaps through cross-functional partnerships. Nice-to-have qualifications include experience with GCP, Airflow, and containerization, as well as familiarity with Generative AI and agentic workflows. Knowledge of Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning is also advantageous. By joining Wayfair, you will be part of a dynamic and innovative team that is dedicated to reinventing the way people shop for their homes. If you are looking for a fast-paced environment that offers continuous learning and growth opportunities, Wayfair may be the perfect place for you to advance your career.,

As a participant in the 4 to 6-month paid internship at Mason Interactive starting in Fall 2025, you will have the opportunity to lead a groundbreaking ML/AI integration project aimed at revolutionizing the utilization of marketing data. Your role will involve developing predictive models, creating automated insights, and implementing AI-driven optimization strategies based on authentic client datasets. Your responsibilities will include building ML models to forecast campaign performance, optimizing marketing strategies, constructing automated data pipelines that merge various marketing data sources, designing interactive dashboards to visually represent ML insights for stakeholders, researching state-of-the-art AI methods to address marketing challenges, and collaborating across different functions to recognize ML applications in marketing workflows. To excel in this role, you should possess a strong foundation in ML, including supervised and unsupervised learning, neural networks, and NLP. Proficiency in Python and familiarity with ML libraries such as scikit-learn, TensorFlow, and PyTorch are essential. Moreover, experience in data preprocessing, feature engineering, SQL, database management, and data visualization tools like Tableau, Power BI, and Looker Studio will be advantageous. In addition to technical skills, a grasp of marketing metrics such as ROI, CPA, ROAS, and CPM is required. You should be able to translate ML insights into actionable marketing recommendations effectively. Soft skills are equally crucial for this role. Excellent communication skills with non-technical stakeholders, self-motivation coupled with strong project management abilities, and a problem-solving mindset to tackle data integration challenges are highly valued. Ideal candidates for this position are rising seniors or recent graduates in Computer Science, Data Science, ML, Statistics, or related fields. A portfolio showcasing ML applications to business problems is preferred. You must be available for a Fall 2025 start, commit to a period of 4 to 6 months, and be willing to work a minimum of part-time. By joining Mason Interactive, you will be part of a competitive paid internship program that offers real compensation. You will lead a transformative project at the convergence of marketing and AI, with the opportunity to make a real-world impact on client business outcomes. Working alongside marketing experts and data scientists, you will have a chance to build an exceptional portfolio and contribute to shaping the future of data-driven marketing. If you are ready to revolutionize marketing analytics with AI, this internship opportunity at Mason Interactive awaits your innovative contributions.,

Amplework Software is a full-stack development agency based in Jaipur (Rajasthan), IND, specializing in end-to-end software development solutions for clients worldwide. We are dedicated to delivering high-quality products that align with business requirements and leverage cutting-edge technologies. Our expertise encompasses custom software development, mobile applications, AI-driven solutions, and enterprise applications. Join our innovative team that drives digital transformation through technology. We are looking for a Mid-Level Python and AI Engineer to join our team. In this role, you will assist in building and training machine learning models using frameworks such as TensorFlow, PyTorch, and Scikit-Learn. You will experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with structured and unstructured data, collaborate with data scientists and software engineers, and continuously learn, experiment, and optimize models to enhance performance and efficiency. Ideal candidates should possess a Bachelor's degree in Computer Science, Engineering, AI, or a related field and proficiency in Python with experience in writing optimized and clean code. Strong problem-solving skills, understanding of machine learning concepts, and experience with data processing libraries are required. Familiarity with AI models and neural networks using frameworks like Scikit-Learn, TensorFlow, or PyTorch is essential. Preferred qualifications include experience with NLP using transformers, BERT, GPT, or OpenAI APIs, AI model deployment, database querying, and participation in AI-related competitions or projects. Soft skills such as analytical thinking, teamwork, eagerness to learn, and excellent English communication skills are highly valued. Candidates who excel in problem-solving, possess a willingness to adapt and experiment, and prefer a dynamic environment for AI exploration are encouraged to apply. A face-to-face interview will be conducted, and applicants should be able to attend the interview at our office location. Join the Amplework Software team to collaborate with passionate individuals, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and thrive in a great working environment.,

You will be joining a Pune-based startup as an AI Research Specialist. Your primary responsibility will involve conducting thorough research on emerging AI models, analyzing their potential integration with our system, and providing expert advice on optimizing model performance. Key Responsibilities: - Monitoring and analyzing new AI models entering the market. - Assessing the applicability of emerging models to our AI agent system. - Providing insights on model architectures, weights, biases, and training methods. - Developing and recommending fine-tuning strategies for optimal performance. - Optimizing model efficiency by determining the minimal necessary layer structure. Required Qualifications: - Holding an advanced degree in Computer Science (MS or PhD), Machine Learning, Engineering, Applied Mathematics, or related quantitative field. Candidates with backgrounds in Control Theory, Information Theory, or similar disciplines are particularly encouraged to apply. - Possessing extensive knowledge of various AI model architectures and their inner workings. - Demonstrating a strong understanding of neural network fundamentals, including weights, biases, and activation functions. - Having experience with model fine-tuning and hyperparameter optimization. - Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch). - Being familiar with state-of-the-art AI research and having the ability to quickly grasp new concepts. - Demonstrating the ability to apply systematic, logical thinking to complex problems, particularly in model optimization and efficiency. - Possessing excellent analytical and problem-solving skills. - Strong communication skills to convey complex technical concepts clearly. Preferred Skills: - Knowledge of Control Theory concepts (e.g., feedback systems, stability analysis). - Familiarity with Information Theory principles.,

As a ML Engineer/Data Scientist at Innova ESI in Bengaluru, you will be responsible for leveraging your strong background in Computer Science and Algorithms to work on pattern recognition, neural networks, algorithms, and statistical methods in order to deliver end-to-end data solutions. Your role will involve collaborating in cross-functional teams to drive digital transformation through innovative and sustainable IT solutions. You should have a deep understanding of machine learning and NLP, along with commercial experience in building and deploying LLM solutions. With 4-8 years of relevant experience, you are expected to demonstrate exceptional coding ability, particularly in Python, and be familiar with ML tools and libraries like TensorFlow, PyTorch, pandas, and scikit-learn. Your proficiency in Pattern Recognition and Neural Networks, combined with knowledge of Statistics and its application in data analysis, will be key in working with complex algorithms and data models. In addition, you should have a strong understanding of MLOps best practices and experience in deploying LLM applications to production at scale. As a problem solver and self-starter, you enjoy tackling difficult problems and finding optimal solutions independently as well as in a collaborative team environment. Your strong communication skills will enable you to effectively articulate complex technical concepts to non-technical stakeholders. This full-time hybrid role offers flexibility for some remote work while being primarily based in Bengaluru. If you meet the qualifications and are excited about driving digital transformation through innovative data solutions, we encourage you to share your resume with us at jaya.sharma@innovaesi.com.,

As a Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics (IVA/AI) at our company in Vadodara, Gujarat, you will play a crucial role in the Software Development team focusing on IVA/Computer Vision. With a minimum of 2 years of experience and a degree in B.E/B.tech/M.E/ M.tech in EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE, or related fields, you will have the opportunity to work on cutting-edge projects that leverage deep learning and computer vision techniques to extract meaningful insights from video streams. Your day-to-day responsibilities will involve collaborating with cross-functional teams to design and implement algorithms using C/C++, OpenCV, and TensorFlow. You will lead and mentor a team of engineers, participate in design reviews, integrate video analytics solutions with existing systems, and execute AI algorithms using various platform-specific frameworks like TensorRT and TensorFlow Lite. Additionally, you will research new technologies and methodologies to enhance video analytics capabilities and document your work through code documentation and technical reports. The ideal candidate for this role will have a strong foundation in Deep Learning/Computer Vision projects, with expertise in neural networks, CNN, model training strategies, and deep learning frameworks such as Tensorflow, PyTorch, or Keras. Good programming skills in Python and C++, along with experience in projects like Object Detection, Motion Detection, and Face Recognition, will be beneficial. You should also possess the ability to optimize deep learning models for embedded form factors and have a thirst for continuous learning and advancement in the field. Joining our team will provide you with the opportunity to work for an Indian Tech Company that creates innovative products for a global audience. You will be part of a challenging and rewarding environment, receive a competitive salary and other benefits, and enjoy a generous leave schedule, including company-paid medical insurance for the whole family. If you are an innovative and tech-savvy individual looking to make a significant impact in the field of computer vision and AI, we encourage you to apply and be part of our dynamic team.,

Strong proficiency in Python.Experience with Large Language Models.Familiarity with machine learning and artificial intelligence.Experience with Google cloud platform. Required Candidate profile Desired Skills:Python, Artificial Intelligence, Machine learning, GCP Position Name: Data Scientist Client Name:Renault Work Location: Chennai Mode of Work : Hybrid

Roles and Responsibility Collaborate with the design team to create visually appealing videos using AI technology. Develop and implement new video creation techniques to enhance efficiency and quality. Work closely with the content team to understand project requirements and deliver high-quality videos. Assist in editing and enhancing videos to meet client expectations. Stay updated with the latest trends and technologies in AI video creation. Participate in brainstorming sessions to generate new ideas and concepts. Job Requirements Strong understanding of AI technology and its applications in video creation. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Strong attention to detail and ability to meet deadlines. Familiarity with video editing software and tools. Creative thinking and problem-solving skills.

We are looking for a highly motivated and enthusiastic individual to join our team as an AI Training Program professional. The ideal candidate will have a strong foundation in artificial intelligence and machine learning, with excellent problem-solving skills and attention to detail. Roles and Responsibility Develop and implement AI and ML models to solve complex problems. Collaborate with cross-functional teams to design and deploy AI-powered solutions. Conduct research and analysis to identify opportunities for AI adoption. Design and deliver training programs on AI and ML topics. Evaluate the effectiveness of AI models and recommend improvements. Stay updated with industry trends and advancements in AI and ML. Job Requirements Strong understanding of AI and ML concepts, including algorithms and data structures. Experience with programming languages such as Python, Java, or C++. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work in a fast-paced environment and adapt to changing priorities. Familiarity with AI frameworks and tools such as TensorFlow or PyTorch.

We are looking for a highly skilled and experienced AI Leader to join our team at Opkey, with 19 years of experience in the field. The ideal candidate will have a strong background in artificial intelligence and machine learning. Roles and Responsibility Develop and implement AI and ML models to solve complex problems. Lead a team of data scientists and engineers to design and deploy AI solutions. Collaborate with cross-functional teams to identify business needs and develop AI solutions. Stay updated with industry trends and advancements in AI and ML. Design and implement data pipelines and architectures to support AI model development. Work closely with stakeholders to understand requirements and deliver high-quality results. Job Requirements Strong knowledge of AI and ML concepts, including machine learning algorithms and deep learning techniques. Experience with programming languages such as Python, Java, or C++. Strong understanding of software development principles and methodologies. Excellent leadership and communication skills. Ability to work in a fast-paced environment and adapt to changing priorities. Strong problem-solving skills and attention to detail.