8283 Tensorflow Jobs - Page 7

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize their operations and achieve strategic goals. In data analysis at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling are leveraged to support clients in solving complex business problems. PwC US - Acceleration Center is currently looking for a highly skilled and experienced GenAI Data Scientist to join the team at the Senior Associate level. As a GenAI Data Scientist, the critical role involves developing and implementing machine learning models and algorithms for GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Candidates with 4+ years of hands-on experience are preferred for this position. Responsibilities: - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Utilize Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements: - 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. - Strong programming skills in languages such as Python, R, or Scala. - Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. - Experience with data preprocessing, feature engineering, and data wrangling techniques. - Solid understanding of statistical analysis, hypothesis testing, and experimental design. - Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. - Knowledge of data visualization tools and techniques. - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work in a fast-paced and dynamic environment. Preferred Qualifications: - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience with developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. Nice To Have Skills: - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. - Experience in chatbot design and development. Professional And Educational Background: Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Masters Degree /MBA,

You are a highly skilled ChatGPT Developer with expertise in AI development, web technologies, and iOS mobile app development. Your main responsibility will be designing, developing, and integrating ChatGPT-based AI solutions into web and mobile applications. To excel in this role, you must have a deep understanding of natural language processing (NLP), machine learning (ML), API development, and user experience across various platforms. In the realm of AI & Chatbot Development, you will be tasked with designing and developing AI-powered chatbot solutions using ChatGPT, OpenAI APIs, or similar NLP frameworks. Your goal is to implement conversational AI models that enhance user interactions across web and iOS applications. Additionally, you will train and fine-tune language models to provide better responses, personalization, and user engagement. Moreover, you will implement AI-driven recommendation systems, sentiment analysis, and automated workflows. When it comes to Web Development & Integration, your role involves developing and integrating ChatGPT-powered chatbots into web applications using technologies such as React, Angular, or Vue.js. You will also be responsible for building RESTful and GraphQL APIs to facilitate seamless communication between AI models and frontend applications. Your focus will be on ensuring responsive, scalable, and high-performing web applications that seamlessly integrate AI functionalities. You will collaborate with cloud platforms like Azure, AWS, or Google Cloud to deploy AI models and services effectively. In the iOS Mobile Development domain, you will develop and integrate ChatGPT-powered chatbots into iOS applications using Swift, SwiftUI, or Objective-C. Your task is to optimize AI chatbot interactions to provide mobile-friendly experiences. Furthermore, you will implement features such as push notifications, voice input, and AI-driven automation to enhance mobile user engagement. Your ultimate goal is to ensure seamless performance across various iOS devices and OS versions. To thrive in this role, you must possess strong expertise in ChatGPT, OpenAI APIs, NLP, and AI model integration. You should have experience in Python, TensorFlow, PyTorch, or LangChain for AI model development. Proficiency in web development technologies like React, Angular, Vue.js, and Node.js is essential. Moreover, you must have a solid background in iOS development using Swift, SwiftUI, and Objective-C. Hands-on experience with cloud-based AI services such as Azure AI, AWS AI, and Google AI is highly beneficial. Additionally, familiarity with database management, RESTful APIs, GraphQL, WebSockets, and serverless computing will be advantageous. Preferred qualifications include experience with speech-to-text and voice assistant technologies, familiarity with mobile AI SDKs like Core ML, TensorFlow Lite, and Apple Neural Engine, as well as knowledge of AI ethics, security, and privacy considerations. Certifications in AI, web, or iOS development (e.g., OpenAI, AWS AI, Microsoft AI) are considered a plus. In terms of educational qualifications, a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field is required. Relevant certifications in AI, web, or mobile development will be beneficial for this role.,

Apple is a place where individual imaginations gather together, committing to the values that lead to great work. Every new product built or service created is the result of making each other's ideas stronger. This collaborative environment is fueled by the shared belief that something wonderful can be created and shared with the world, ultimately changing lives for the better. The diversity of the team members and their thinking inspires innovation that permeates through everything that is done at Apple. By bringing everybody in, the best work of their lives can be achieved. When you join Apple, you are not just joining something, you are adding something. Product Engineering International, part of the esteemed Software Engineering Organization, is seeking an accomplished ML Researcher to spearhead the development of cutting-edge generative modeling pipelines for a diverse range of popular international languages. In this pivotal role, you will be at the forefront of natural language processing, designing and implementing end-to-end solutions. Your responsibilities will include driving innovation in generative modeling, owning the entire generative modeling pipeline, and prioritizing working with a variety of popular international languages to ensure culturally and linguistically adaptable models. As a key pillar of Apple Intelligence, you will bring impact to billions of users with your ML expertise, engineering passion, and programming skills. You will collaborate with a dedicated team of outstanding ML and software engineers on advanced text generation technologies. The focus will be on generative technologies for key international markets to ensure top-class experiences for the popular languages in these markets. Minimum Qualifications: - 4+ years of machine learning expertise. - Strong programming skills using Python/Objective C/Swift. - Good exposure to Deep Learning libraries like PyTorch and TensorFlow. - Thorough experience with common NLP algorithms and applications, including tokenization, language modeling, text decoding, text classifier, etc. Preferred Qualifications: - Actively exercising machine learning techniques, including implementing basic optimizers and regularizations. - Actively programming with high-quality codes across complex and large repositories. - Experience of multi-modal modeling. - Experience in NLP modeling for Indian languages is desired. If you are a passionate ML researcher with a deep interest in natural language processing and a talent for building generative models that work seamlessly across languages, join our team and make a meaningful impact!,

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 : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and mentoring within the team to enhance overall performance. - Evaluate and implement new technologies and methodologies to improve project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Good To Have Skills: Experience with cloud-based AI services. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Experience in developing and deploying chatbots and conversational agents. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required.

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 : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and mentorship within the team to enhance overall performance. - Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms and services for deploying AI solutions. - Familiarity with data preprocessing and augmentation techniques. - Ability to design and implement APIs for AI applications. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required.

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 : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and training sessions to enhance team capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud-based AI services and deployment strategies. - 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 5 years of experience in Large Language Models. - This position is based in Indore. - A 15 years full time education is required.

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 : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and mentoring within the team to enhance overall performance. - Evaluate and implement new technologies and methodologies to improve project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Good To Have Skills: Experience with cloud-based AI services. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Experience in developing and deploying chatbots and conversational agents. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required.

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 : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and mentoring within the team to enhance overall performance. - Evaluate and implement new technologies and methodologies to improve project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Good To Have Skills: Experience with cloud-based AI services. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Experience in developing and deploying chatbots and conversational agents. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required.

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 : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and mentoring within the team to enhance overall performance. - Evaluate and implement new technologies and methodologies to improve project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Good To Have Skills: Experience with cloud-based AI services. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Experience in developing and deploying chatbots and conversational agents. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required.

Title: Senior AI Developer Years of Experience 8+ years Location: The selected candidate is required to work onsite for the initial 1 to 3-month project training and execution period at either our Kovilpatti or Chennai location, which will be confirmed during the onboarding process. After the initial period, remote work opportunities will be offered. Job Description: The Senior AI Developer will be responsible for designing, building, training, and deploying advanced artificial intelligence and machine learning models to solve complex business challenges across industries. This role demands a strategic thinker and hands-on practitioner who can work at the intersection of data science, software engineering, and innovation. The candidate will contribute to scalable production-grade AI pipelines and mentor junior AI engineers within the Center of Excellence (CoE). Key responsibilities · Design, train, and fine-tune deep learning models (NLP, CV, LLMs, GANs) for high-value applications · Architect AI model pipelines and implement scalable inference engines in cloud-native environments · Collaborate with data scientists, engineers, and solution architects to productionize ML prototypes · Evaluate and integrate pre-trained models like GPT-4o, Gemini, Claude, and fine-tune based on domain needs · Optimize algorithms for real-time performance, efficiency, and fairness · Write modular, maintainable code and perform rigorous unit testing and validation · Contribute to AI codebase management, CI/CD, and automated retraining infrastructure · Research emerging AI trends and propose innovative applications aligned with business objectives Technical Skills · Expert in Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers · LLM deployment & tuning: OpenAI (GPT), Google Gemini, Claude, Falcon, Mistral · Experience with RESTful APIs, Flask/FastAPI for AI service exposure · Proficient in Azure Machine Learning, Databricks, MLflow, Docker, Kubernetes · Hands-on experience with vector databases, prompt engineering, and retrieval-augmented generation (RAG) · Knowledge of Responsible AI frameworks (bias detection, fairness, explain ability) Qualification · Master’s in Artificial Intelligence, Machine Learning, Data Science, or Computer Engineering · Certifications in AI/ML (e.g., Microsoft Azure AI Engineer, Google Professional ML Engineer) preferred · Demonstrated success in building scalable AI applications in production environments · Publications or contributions to open-source AI/ML projects are a plus

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Develop and implement Generative AI / AI solutions on Google Cloud Platform Work with cross-functional teams to design and deliver AI-powered products and services Work on developing, versioning and executing Python code Deploy models as endpoints in Dev Environment Solid understanding of python Deep learning frameworks such as TensorFlow, PyTorch, or JAX Natural language processing (NLP) and machine learning (ML) Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI etc Generative AI support in Vertex, specifically handson experience with Generative AI models like Gemini, vertex Search etc Your Profile Experience in Generative AI development with Google Cloud Platform Experience in delivering an AI solution on VertexAI platform Experience in developing and deploying AI Solutions with ML What You’ll Love About Working Here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Job Title: Data Scientist Position Summary: - As a Data Scientist at FSL, you will leverage your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing and Generative AI to develop innovative data-driven solutions and applications. You will play a key role in designing and deploying dynamic models and applications using modern web frameworks like Flask and FastAPI, ensuring efficient deployment and ongoing monitoring of these systems. Key Responsibilities: - Model Development and Application: Design and implement advanced ML and DL models. Develop web applications for model deployment using Flask and FastAPI to enable real-time data processing and user interaction. - Data Analysis: Perform exploratory data analysis to understand underlying patterns, correlations and trends. Develop comprehensive data processing pipelines to prepare large datasets for analysis and modeling. - Generative AI: Employ Generative AI techniques to create new data points, enhance content generation and innovate within the field of synthetic data production. - Collaborative Development: Work with cross-functional teams to integrate AI capabilities into products and systems. Ensure that all AI solutions are aligned with business goals and user needs. - Research and Innovation: Stay updated with the latest developments in AI, ML, DL, CV and NLP. Explore new technologies and methodologies that can impact our products and services positively. - Communication: Effectively communicate complex quantitative analysis in a clear, precise and actionable manner to senior management and other departments. Required Skills and Qualifications: - Education: BE or Master’s or PhD in Computer Science, Data Science, Statistics or a related field. - Experience: 5 to 7 years of relevant experience in a data science role with a strong focus on ML, DL and statistical modeling. - Technical Skills: Strong coding skills in Python, including experience with Flask or FastAPI. Proficiency in ML, DL frameworks (e.g., PyTorch, TensorFlow), CV (e.g., OpenCV) and NLP libraries (e.g., NLTK, spaCy). - Generative AI: Experience with generative models such as GANs, VAEs or Transformers. - Deployment Skills: Experience with Docker, Kubernetes and continuous integration/continuous deployment (CI/CD) pipelines. - Strong Analytical Skills: Ability to translate complex data into actionable insights. - Communication: Excellent written and verbal communication skills. - Certifications: Certifications in Data Science, ML or AI from recognized institutions is added advantage. Location: Hyderabad, Mumbai, Bangalore and Chennai

About InvestCloud InvestCloud is at the forefront of wealth technology, offering innovative solutions that redefine how the financial services industry operates. With a global presence and a client-first approach, we specialize in digital transformations powered by our flexible, modular technology. About The Team You will be joining the newly formed global AI, Data & Analytics team, as the lead Data Scientist in our India office. Your primary responsibility will be as a hands-on Data Scientist leading various projects. You will lead a small team locally and will operate as part of the global team. The new team is focused on driving increased value from the data InvestCloud captures to enable a smarter financial future for our clients, in particular focused on “enhanced intelligence”. Ensuring we have fit-for-purpose modern capabilities is a key goal for the team. We are seeking a Senior Data Scientist / Machine Learning Engineer with a strong background in Data Science, Machine Learning, and Generative AI models. The ideal candidate should have a proven track record in delivering business impact and delighting clients by developing and deploying ML and AI models in production, along with excellent problem-solving skills. In this role, you will integrate AI and ML solutions into the InvestCloud product suite. Some management experience is beneficial, but success in this role will primarily come from your data science delivery. Key Responsibilities Implement applications powered by Generative AI and Machine Learning models and deploy them in production Develop and maintain datasets and data pipelines to support Machine Learning model training and deployment Interpret results from Machine Learning models and communicate findings to both technical and non-technical stakeholders Stay updated with the latest advancements in Machine Learning, natural language processing, and generative AI. Analyze large datasets to identify patterns, trends, and insights that can inform business decisions. Work with 3rd party providers of AI products to evaluate and implement solutions achieving Investcloud’s business objectives. Lead a small team of data scientists in India Required Skills MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field or equivalent practical experience At least four years of professional experience in Data Science, Machine Learning and AI Outstanding communications skills in English High proficiency in programming in Python Knowledge of Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn) and LLM frameworks (e.g. Langchain) Knowledge of data preprocessing, feature engineering, and model evaluation metrics Experience using large language models, generative AI and agentic frameworks Experience in database technologies (Oracle, PostgreSQL) Experience working with Snowflake and/or Databricks or similar tools Working experience developing and deploying Machine Learning models in production Working experience with Git and Docker Ability to work in a fast-paced environment across multiple projects simultaneously Ability to collaborate effectively as a team player, fostering a culture of open communication and mutual respect. Practical, get-things done mentality within our controls environment. Preferred Skills Working experience with Vector Database Technologies Experience with cloud platforms such as AWS, GCP, or Azure What Do We Offer Join our diverse and international cross-functional team, comprising data scientists, product managers, business analyst and software engineers. As a key member of our team, you will have the opportunity to implement cutting-edge technology to create a next-generation advisor and client experience. Location and Travel The ideal candidate will be expected to work from our Bangalore office. Occasional travel may be required. Compensation The salary range will be determined based on experience, skills, and geographic location. Equal Opportunity Employer InvestCloud is committed to fostering an inclusive workplace and welcomes applicants from all backgrounds.

A. Company Overview Founded in 2012, Occams Advisory is a leading business solutions, professional services and financial advisory provider specializing in growth, financing, and taxation. Serving as a trusted advisor throughout the business lifecycle, Occams combines Fortune 500 expertise, entrepreneurial insights, and a global perspective to deliver world-class solutions. Occams has achieved remarkable recognition for its rapid growth, securing 8 spots on Inc. magazine’s Fastest Growing 5000 Private Companies list, 4 consecutive rankings on the Financial Times Fastest Growing 500 Companies in the Americas. In 2023, Occams was honored on Fortune’s inaugural list of the 300 Most Innovative Companies. Operating across all U.S. states and territories, Occams boasts a team of over 100 professionals based in major cities worldwide, including New York, Los Angeles, Toronto, Delhi and Mumbai. Its leadership includes alumni from Fortune 500 companies such as Barclays, UBS, and Merrill Lynch, and prestigious academic institutions like NYU, Duke University, and London Business School. Recognized as a leader in professional services, Occams delivers transformative growth and advisory solutions to clients. B. About Your Role We are looking for a AI Software Engineer to join our AI Initiative. In this role, you will drive the development of AI-powered solutions, generative AI, and AI business solutions to create impactful applications. This position is for someone who lives and breathes AI, LLMs, and APIs—whose language is defined by tokens, embeddings, and temperature settings. It demands an AI specialist who has been immersed in AI from its inception, deeply understands its evolution, and is always at the cutting edge of LLMs, AI Business use cases, and generative models. You will be responsible for end-to-end AI model execution, from conceptualization and training to optimization and deployment, ensuring that our AI-driven solutions are not just innovative but also scalable and impactful. If your thought process revolves around prompt engineering, parameter tuning, and the evolution of AI architectures, you might be the perfect fit. The ideal candidate is proactive, analytical, and detail-oriented—someone who takes initiative, embraces challenges, and is eager to contribute to a culture of excellence and impact. C. Key Responsibilities Develop LLM-Powered Business Solutions: Design, build, and deploy robust applications that leverage LLM frameworks such as OpenAI and Langchain to address business-specific use cases. Implement Retrieval-Augmented Generation (RAG) Pipelines: Develop and maintain scalable RAG systems—including integration with vector databases (e.g., Qdrant) and memory modules—to improve the accuracy and relevance of responses. Advanced Prompt Engineering: Apply advanced prompt engineering techniques to optimize user interactions and generate precise responses, ensuring that the application meets business needs. API and Microservices Development: Create and secure RESTful APIs and microservices for seamless integration of LLM functionalities into existing systems, with a focus on data security and compliance. Cloud Architecture Integration: Work with cloud services (e.g., AWS Lambda, S3, CloudFormation) to ensure the LLM applications are highly scalable, resilient, and cost-effective. Collaboration with Cross-Functional Teams: Partner with product managers, designers, and other stakeholders to translate business requirements into technical solutions, iteratively refining applications based on feedback. Performance Optimization and Quality Assurance: Monitor, troubleshoot, and continuously optimize applications for performance, ensuring high-quality, business-aligned outputs and maintaining rigorous guardrails. D. Required Qualifications & Experience Education: Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field; relevant certifications are a plus. Experience: 2+ years of experience with OpenAI, Gemini, Lambda, Llama, Langchain integration into business uses cases. Essential Technical Skills: Proficiency in node.js and experience with AI frameworks such as TensorFlow, PyTorch, and LangChain . Expertise in LLMs, transformers, embeddings, and generative AI . Strong understanding of AI model optimization, fine-tuning, and deployment . Experience with API development and integrating AI models into production environments . Knowledge of cloud platforms such as OpenAI, AWS, Azure, or Google Cloud for AI deployment. Ability to process and work with large datasets for AI training and development. Preferred Skills: Experience with OpenAI’s GPT models and similar architectures. Strong problem-solving skills and ability to collaborate with cross-functional teams. E. Benefits & Perks Health Insurance for you and your dependents including parents Provident Fund 3 % Fixed CTC Budget for Learning Opportunities Market Leading Leave Policy Paid Holidays per Calendar Year Employee Recognition & Rewards One of the best cultures of benevolent meritocracy F. Job Details Title: Sr. Software Engineer (AI) Annual Compensation: 12 – 13 LPA Work Schedule: Office Nature: Full time Shift: 3:00 PM to 12:00 AM IST Location: Delhi, India/ Dehradun, Uttarakhand

About Us We are an innovative AI SaaS venture that develops cutting-edge AI solutions and provides expert consulting services. Our mission is to empower businesses with state-of-the-art AI technologies and data-driven insights. We're looking for a talented Data Science Intern to join our team and help drive our product development and consulting initiatives. Job Overview For our Q4 2025 and 2026+ ambition, we are looking for a motivated Intern in Data Science at our venture. You will play a crucial role in developing AI-powered solutions for our SaaS platform and providing expert guidance to our consulting clients. You will work closely with cross-functional teams to design, implement, and optimize machine learning models that solve complex business problems. Tasks Key Responsibilities Tasks Build predictive models to drive business decisions Create visualizations on PowerBI/Tableau/Excel/DataStudio to analyze the datasets Create PowerPoint presentations to communicate findings & recommendations to senior leadership teams Automate existing process to drive efficiency. Experience working with large datasets using MS Excel, SQL and designing machine learning solutions using Python/R. Structure an ambiguous business problem and devise a mathematical and/or programming solution Execute the solution Azure, AWS, GCP Dive deep into data, analyze and discover patterns/root causes Design robust and scalable prediction algorithms Expertise in Data Science algorithms - in-depth understanding of the math behind the algorithm Excellent communication skills Passionate about the latest technology trends with a desire for innovation Expertise in Python or R Expertise in MS Excel & SQL Requirements Preferred Qualifications Engineering degree, MBA or any specialized course work in Data Science. Previous exposure in Pharma/Healthcare is advantageous but not mandatory. Strong programming skills in Python, with experience in data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch) Expertise in statistical analysis, machine learning algorithms, and deep learning techniques Experience with big data technologies (e.g., Hadoop, Spark) and SQL databases Excellent problem-solving skills and ability to translate complex problems into actionable insights Strong communication skills to effectively present findings to both technical and non-technical stakeholders Benefits What We Offer Cutting-edge Technology: Opportunity to work on cutting-edge AI projects and shape the future of data visualization Rapid Growth: Be part of a high-growth Venture with endless opportunities for career advancement. Impactful Work: See your contributions make a real difference in how businesses operate. Collaborative Culture: Join a diverse team of brilliant minds from around the world. Flexible Work Environment: Enjoy remote work options and a healthy work-life balance. Competitive Compensation as per market. We’re excited to welcome passionate, driven individuals who are eager to learn and grow with our team. If you’re ready to gain hands-on experience, contribute to meaningful projects, and take the next step in your professional journey, we encourage you to apply. We look forward to exploring the possibility of having you onboard. Follow us for more updates: https://www.linkedin.com/company/ingeniusai/posts/

2 - 11 Years Full Time 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 : 2 - 11 Years of experience in machine learning, with 2+ 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 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 Why you'll love working with us: BRING YOUR PASSION AND FUN . Corporate culture woven from highly diverse perspectives and insights. BALANCE WORK AND PERSONAL TIME LIKE A BOSS . Resources and flexibility to more easily integrate your work and your life. BECOME A CERTIFIED SMARTY PANTS . Ongoing training and development opportunities for even the most insatiable learner. START-UP SPIRIT (Good ten plus years, yet we maintain it) FLEXIBLE WORKING HOURS

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.

Introduction to the Role: Are you passionate about building intelligent systems that learn, adapt, and deliver real-world value? Join our high-impact AI & Machine Learning Engineering team and be a key contributor in shaping the next generation of intelligent applications. As an AI/ML Engineer , youll have the unique opportunity to develop, deploy, and scale advanced ML and Generative AI (GenAI) solutions in production environments, leveraging cutting-edge technologies, frameworks, and cloud platforms . In this role, you will collaborate with cross-functional teams including data engineers, product managers, MLOps engineers, and architects to design and implement production-grade AI solutions across domains. If you're looking to work at the intersection of deep learning, GenAI, cloud computing, and MLOps this is the role for you. Accountabilities: Design, develop, train, and deploy production-grade ML and GenAI models across use cases including NLP, computer vision, and structured data modeling. Leverage frameworks such as TensorFlow , Keras , PyTorch , and LangChain to build scalable deep learning and LLM-based solutions. Develop and maintain end-to-end ML pipelines with reusable, modular components for data ingestion, feature engineering, model training, and deployment. Implement and manage models on cloud platforms such as AWS , GCP , or Azure using services like SageMaker , Vertex AI , or Azure ML . Apply MLOps best practices using tools like MLflow , Kubeflow , Weights & Biases , Airflow , DVC , and Prefect to ensure scalable and reliable ML delivery. Incorporate CI/CD pipelines (using Jenkins, GitHub Actions, or similar) to automate testing, packaging, and deployment of ML workloads. Containerize applications using Docker and orchestrate scalable deployments via Kubernetes . Integrate LLMs with APIs and external systems using LangChain, Vector Databases (e.g., FAISS, Pinecone), and prompt engineering best practices. Collaborate closely with data engineers to access, prepare, and transform large-scale structured and unstructured datasets for ML pipelines. Build monitoring and retraining workflows to ensure models remain performant and robust in production. Evaluate and integrate third-party GenAI APIs or foundational models where appropriate to accelerate delivery. Maintain rigorous experiment tracking, hyperparameter tuning, and model versioning. Champion industry standards and evolving practices in ML lifecycle management , cloud-native AI architectures , and responsible AI. Work across global, multi-functional teams, including architects, principal engineers, and domain experts. Essential Skills / Experience: 4-7 years of hands-on experience in developing, training, and deploying ML/DL/GenAI models . Strong programming expertise in Python with proficiency in machine learning , data manipulation , and scripting . Demonstrated experience working with Generative AI models and Large Language Models (LLMs) such as GPT, LLaMA, Claude, or similar. Hands-on experience with deep learning frameworks like TensorFlow , Keras , or PyTorch . Experience in LangChain or similar frameworks for LLM-based app orchestration. Proven ability to implement and scale CI/CD pipelines for ML workflows using tools like Jenkins , GitHub , GitLab , or Bitbucket Pipelines . Familiarity with containerization (Docker) and orchestration tools like Kubernetes . Experience working with cloud platforms (AWS, Azure, GCP) and relevant AI/ML services such as SageMaker , Vertex AI , or Azure ML Studio . Knowledge of MLOps tools such as MLflow , Kubeflow , DVC , Weights & Biases , Airflow , and Prefect . Strong understanding of data engineering concepts , including batch/streaming pipelines, data lakes, and real-time processing (e.g., Kafka ). Solid grasp of statistical modeling , machine learning algorithms , and evaluation metrics. Experience with version control systems (Git) and collaborative development workflows. Ability to translate complex business needs into scalable ML architectures and systems. Desirable Skills / Experience: Working knowledge of vector databases (e.g., FAISS , Pinecone , Weaviate ) and semantic search implementation. Hands-on experience with prompt engineering , fine-tuning LLMs, or using techniques like LoRA , PEFT , RLHF . Familiarity with data governance , privacy , and responsible AI guidelines (bias detection, explainability, etc.). Certifications in AWS, Azure, GCP, or ML/AI specializations. Experience in high-compliance industries like pharma , banking , or healthcare . Familiarity with agile methodologies and working in iterative, sprint-based teams. Work Environment & Collaboration: You will be a key member of an agile, forward-thinking AI/ML team that values curiosity, excellence, and impact. Our hybrid work culture promotes flexibility while encouraging regular in-person collaboration to foster innovation and team synergy. You'll have access to the latest technologies, mentorship, and continuous learning opportunities through hands-on projects and professional development resources.

What does the team do? We serve several hundred million ads daily to our users, sourcing them from both our direct demand and a network of partners integrated via ORTB channels or GAM. Delivering ads at this scale to a diverse user base requires deep neural network (DNN)-based recommendation models, along with a robust infrastructure to support seamless ad delivery. Beyond recommendation models, our system incorporates a sophisticated marketplace designed to maximize value for advertisers while ensuring optimal budget consumption at a predictable pace. Additionally, it upholds a fair and competitive environment for all partners by ensuring equitable auctions for each ad slot. Some of the key challenges our team addresses include: Developing personalized ad recommendation models. Building world-class infrastructure to deliver ads in near real-time. Maintaining a marketplace that ensures fair value delivery to advertisers while optimizing budget utilization. Ensuring a level playing field for all partners, whether integrated directly or through networks. Beyond this, there are exciting opportunities to deploy ML in the ADs ecosystem like on the network ADs side of things as well as on balancing ad revenue with regression in user experience. This is a high-impact role with direct revenue implications, where experimentation success rates are significantly higher due to our dynamic and fast-paced environment. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and were making big progress at a rapid pace. Who are you? Design and help develop systems that serve recommendations to over 300 million users Drive ML roadmap creation and execution, specifically around Ads Provide technical guidance in ML model formulation, implementation & experimentation, and take end to end ownership of ML systems, and key user satisfaction based metrics Drive architectural strategy and design for complex ML systems that support the needs of users, creators and content stakeholders Preferred Qualifications Hands-on experience training and serving large-scale models using frameworks such as Tensorflow or PyTorch Experience productionising machine learning models, and managing and designing end to end ML systems, and data pipelines Deep understanding of the mathematical foundations of Machine Learning algorithms Direct experience in building and applying large-scale (100M+ users) machine learning solutions for feed ranking, and personalizing recommendations. You stay up-to-date with the state-of-the-art technology in the domains of recommender systems, data engineering, and machine learning. Relevant publications in top tier applied machine learning conferences is a plus You have a Masters or PhD in ML, statistics, or an engineering field with 5+ years of experience

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 learningmodels 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 forgenerative model training. Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored tobusiness 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 generativemodels in production. Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, andscalability. Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis onexplainability 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: 2-5 years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically withtransformer-based models. Skills and Experience Required Generative AI: Transformer Models, GANs, VAEs, Text Generation, Image Generation Machine Learning: Algorithms, Deep Learning, Neural Networks 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 Why you'll love working with us: Opportunity to work on technical challenges with global impact. Vast opportunities for self-development, including online university access and sponsored certifications. Sponsored Tech Talks & Hackathons to foster innovation and learning. Generous benefits package including health insurance, retirement benefits, flexible work hours, and more. Supportive work environment with forums to explore passions beyond work. This role presents an exciting opportunity for a motivated individual to contribute to the development of cutting-edge solutions while advancing their career in a dynamic and collaborative environment.

Roles and Responsibilities Develop and maintain on-device AI benchmarks for MacOS using the MLX framework. Port existing LLM benchmarks (phi, Mistral, LLaMA2/3) from Windows to MacOS. Create CoreML versions of selected computer vision models and perform quantization for various data types and hardware targets (CPU, GPU, Neural Engine). Design and prototype local fine-tuning benchmarks, including data preparation, parameter selection, and training strategy evaluation. Work with on-device AI accelerators (e.g., Apple CoreML, ONNX Runtime, TensorRT, OpenVINO, SNPE). Maintain, extend, and optimize benchmarks for future and unreleased hardware platforms across Windows, Mac, mobile, and embedded devices. Collaborate with hardware and software teams to refine benchmark design and test coverage. Analyze model performance, document findings, and suggest optimization strategies. Communicate progress and findings effectively in English to internal stakeholders. Qualifications Required Bachelors degree in computer science or related field. Minimum of 5 years & experience in software design and development. Demonstrated experience in AI model development and deployment. Skills and Experience Required Strong coding expertise in Python, C++, and C. Deep understanding of deep learning frameworks: TensorFlow, PyTorch. Experience working with local/on-device inference engines such as: Apple CoreML (preferred) ONNX Runtime NVIDIA TensorRT Intel OpenVINO Qualcomm SNPE Familiarity with open-source model repositories like Hugging Face. Proven experience in all stages of the software development lifecycle from prototyping to optimization. Solid debugging and problem-solving skills. Excellent communication skills in English.

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

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)

Job Title: Senior CV Engineer Location: Gurugram Experience: 6–10 Years CTC: Up to ₹ 60LPA Industry: AI Product Overview: We are hiring for our esteemed client, a Series-A funded deep-tech company building a first-of-its-kind app-based operating system for Computer Vision. The team specializes in real-time video/image inference, distributed processing, and high-throughput data handling using advanced technologies and frameworks. Key Responsibilities: Lead design and implementation of complex CV pipelines (object detection, instance segmentation, industrial anomaly detection). Own major modules from concept to deployment ensuring low latency and high reliability. Transition algorithms from Python/PyTorch to optimized C++ edge GPU implementations using TensorRT, ONNX, and GStreamer. Collaborate with cross-functional teams to refine technical strategies and roadmaps. Drive long-term data and model strategies (synthetic data generation, validation frameworks). Mentor engineers and maintain high engineering standards. Required Skills & Qualifications: 6–10 years of experience in architecting and deploying CV systems. Expertise in multi-object tracking, object detection, semi/unsupervised learning. Proficiency in Python, PyTorch/TensorFlow, Modern C++, CUDA. Experience with real-time, low-latency model deployment on edge devices. Strong systems-level design thinking across ML lifecycles. Familiarity with MLOps (CI/CD for models, versioning, experiment tracking). Bachelor’s/Master’s degree in CS, EE, or related fields with strong ML and algorithmic foundations. (Preferred) Experience with NVIDIA DeepStream, GStreamer, LLMs/VLMs, open-source contributions.

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.