63 Azure Ml Jobs - Page 2

Design and fine-tune AI apps using GPT, BERT, Azure OpenAI, and Cognitive Services. Build chatbots with Copilot Studio, RAG pipelines, vector DBs, Graph API, and M365 Plugins. Code in Python/Node.js with REST API integration. Required Candidate profile 5+ years of experience in AI/ML or Conversational AI Strong grip on prompt engineering and model fine-tuning Deep understanding of Microsoft’s AI ecosystem

As an Associate Project Manager specializing in AI/ML, you will leverage your 8+ years of experience, including 3+ years in project management, to lead and oversee the successful delivery of AI/ML projects. You will play a pivotal role in managing cross-functional teams, steering complex software projects, and spearheading AI/ML initiatives from inception to deployment. Your expertise will encompass a blend of project management proficiency and technical knowledge in machine learning systems, data pipelines, and model lifecycle management. Your responsibilities will include project planning, tracking, and execution, utilizing methodologies such as Agile, Scrum, and SDLC/Waterfall. You will demonstrate your ability to juggle multiple projects and stakeholders across both business and technical domains, while also showcasing your skills in budgeting, vendor negotiation, and resource planning. Proficiency in tools like MS Project, Excel, PowerPoint, ServiceNow, SmartSheet, and Lucidchart will be essential for effective project management. Technical exposure in AI/ML is a must-have for this role, encompassing familiarity with the AI/ML project lifecycle, ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), and data platforms (e.g., Azure ML, AWS SageMaker, Databricks). You will be well-versed in MLOps practices, model versioning, and CI/CD pipelines for ML, collaborating closely with data scientists, ML engineers, and DevOps teams to deliver innovative AI/ML solutions. Your ability to translate business challenges into AI/ML use cases and efficiently manage delivery timelines will be paramount. In addition to your technical acumen, you will exhibit strong leadership qualities, effective decision-making skills, and impeccable organizational abilities. Your excellent communication and stakeholder management aptitudes will enable you to influence and secure buy-in from executive sponsors and cross-functional teams. Building and nurturing relationships with business leaders and technical stakeholders will be crucial for the success of AI/ML projects under your purview. Your roles and responsibilities will include leading AI/ML and software development projects end-to-end, collaborating with data science and engineering teams to define project scope and deliverables, and maintaining detailed project plans aligned with business objectives. You will monitor progress, mitigate risks, ensure timely delivery of AI/ML models and software components, and facilitate alignment between business, data, and engineering stakeholders. Tracking project metrics, ROI, and model performance post-deployment, while ensuring compliance with data governance, security, and ethical AI standards, will be integral to your responsibilities. Continuous improvement in project execution and delivery frameworks, staying abreast of AI/ML trends, and contributing to strategic planning for future initiatives will be key aspects of your role as an Associate Project Manager in AI/ML.,

The Data Science Lead position at our company is a key role that requires a skilled and innovative individual to join our dynamic team. We are looking for a Data Scientist with hands-on experience in Copilot Studio, M365, Power Platform, AI Foundry, and integration services. In this role, you will collaborate closely with cross-functional teams to design, build, and deploy intelligent solutions that drive business value and facilitate digital transformation. Key Responsibilities: - Develop and deploy AI models and automation solutions using Copilot Studio and AI Foundry. - Utilize M365 tools and services to integrate data-driven solutions within the organization's digital ecosystem. - Design and implement workflows and applications using the Power Platform (Power Apps, Power Automate, Power BI). - Establish, maintain, and optimize data pipelines and integration services to ensure seamless data flow across platforms. - Engage with stakeholders to comprehend business requirements and translate them into actionable data science projects. - Communicate complex analytical insights effectively to both technical and non-technical audiences. - Continuously explore and assess new tools and technologies to enhance existing processes and solutions. Required Skills and Qualifications: - 5-12 years of overall experience. - Demonstrated expertise in Copilot Studio, M365, Power Platform, and AI Foundry. - Strong understanding of data integration services and APIs. - Proficient in data modeling, data visualization, and statistical analysis. - Experience with cloud platforms like Azure or AWS is advantageous. - Exceptional problem-solving and critical-thinking abilities. - Effective communication and collaboration skills. - Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Preferred Skills: - Familiarity with additional AI and machine learning frameworks. - Knowledge of agile methodologies and collaborative tools. - Certifications in Power Platform, Azure AI, or M365 are a plus. If you are a proactive and results-driven individual with a passion for data science and a desire to contribute to cutting-edge projects, we encourage you to apply for this challenging and rewarding opportunity as a Data Science Lead with our team.,

As a Senior/Lead Data Scientist at our organization, you will be a crucial member of our AI/ML team, bringing your expertise in Machine Learning and Deep Learning to design, develop, and deploy AI/ML models for Computer Vision and Generative AI (GenAI) use cases. With a minimum of 4 years of hands-on experience, you will leverage your skills in Computer Vision tasks such as object detection, image segmentation, and OCR, along with a strong programming background in Python and frameworks like PyTorch, TensorFlow, OpenCV, and Transformers. Your responsibilities will include collaborating with product and engineering teams to integrate models into scalable pipelines and applications, managing the complete ML lifecycle using MLOps practices, analyzing large-scale datasets, and preparing them for model training and validation. Additionally, you will work with Azure Machine Learning Services for training, inference, and model management, ensuring high-quality, production-grade ML code and documentation of technical designs and decision-making processes. To excel in this role, you should have a good understanding of MLOps concepts, model deployment, and lifecycle management, as well as experience with cloud platforms, preferably Azure ML, for scalable model training and deployment. Your familiarity with data labeling tools, synthetic data generation, and model interpretability will be valuable assets in this position. Strong problem-solving, debugging, and communication skills are essential for effectively collaborating with cross-functional teams. While not mandatory, experience with NLP, multimodal learning, or 3D computer vision, as well as familiarity with containerization tools like Docker and Kubernetes, would be beneficial. Exposure to building end-to-end ML pipelines using tools like MLflow or DVC, and working in agile development environments, will also be advantageous. If you possess a Bachelors or Masters degree in Computer Science, Electrical Engineering, Data Science, or a related field, and are looking to contribute your expertise to a dynamic team focused on leveraging AI/ML technologies to drive growth and innovation, we encourage you to apply for this exciting opportunity.,

At EY, you will be part of a globally connected powerhouse of diverse teams that will shape your future with confidence. Your career will have the opportunity to grow in innovative ways as you contribute to cutting-edge projects on the Azure platform. As an Azure ML and Python Developer, you will play a crucial role in designing and implementing data pre-processing, feature engineering, and model training pipelines to ensure model performance and reliability in production environments. Your responsibilities will include developing and deploying machine learning models on the Azure cloud platform using Python programming language and Azure ML services. You will collaborate with data scientists and business stakeholders to understand requirements and translate them into technical solutions. Additionally, you will design and implement scalable data pipelines for model training and inference, maintain APIs on the Azure cloud platform, and monitor and optimize model performance. To excel in this role, you should have a bachelor's degree in computer science, data science, or a related field, along with 6-8 years of experience in machine learning, data engineering, and cloud computing, with a focus on Azure services. Proficiency in Python programming language, Azure ML services, and cloud infrastructure is essential. You should also possess strong analytical and problem-solving skills, excellent communication abilities, and a proactive mindset to thrive in a fast-paced environment. As part of the EY team, you will have the opportunity to work on inspiring and meaningful projects, receive support and coaching from engaging colleagues, and develop new skills to progress your career. You will be encouraged to take ownership of your personal development with an individual progression plan and contribute to a collaborative and interdisciplinary environment that values high quality and knowledge exchange. Join EY to be part of building a better working world where you can shape the future with confidence, develop answers to pressing issues, and contribute to creating new value for clients, people, society, and the planet using data, AI, and advanced technology.,

CBS -National IT - Senior Associate -.Net Full Stack Bangalore Job Duties Be part of technical team in developing and maintaining Web and desktop applications and support issues and ensure an overlap of time zones for supporting Analytics and Web applications. Upgrade Application development software frameworks, support business administration activities, and implement BDO USA security policy, processes, and technologies. Demonstrate proficiency in Agile software development and delivery with a focus on automation. Show expertise in Web Application Development and Service-Oriented Application Design. Possess proven experience as a Full Stack Developer or similar role, with experience developing desktop, web, and mobile applications. Work on highly distributed and scalable system architecture. Design, code, debug, test, and develop features with good quality, maintainability and performance and security aspects considered. Work with a focus on customers requirements, considering current and future needs when designing and implementing features. Manage the site design and development life cycle, including budgeting and milestone management. Carries out routine systems testing to detect and resolve bugs, coding errors, and technical issues. Have knowledge of multiple front-end languages and libraries (e.g., HTML/CSS, JavaScript, XML, jQuery) and back-end languages (e.g., .NET Core, Entity framework, ASP.NET C#, Python, R) and JavaScript frameworks (e.g., Angular, React, Node.js). Be familiar with databases (e.g., MSSQL, MySQL, MongoDB), Azure Services, and UI/UX design. Maintain familiarity with Microsoft Development Best Practices, Azure ML, Databricks, Synapse, and Fabric. Exhibit excellent communication and teamwork skills, great attention to detail, and proven organizational skills. Qualifications, Knowledge, Skills and Abilities Education: A bachelors or masters degree in computer science, computer/electrical engineering or equivalent. Experience: Minimum 5-10 years of hands-on experience in software development. Software: Microsoft .Net technology is primary. Experience on multiple front-end languages and libraries (e.g., HTML/CSS, JavaScript, XML, jQuery) and back-end languages (e.g., .NET Core, Entity framework, ASP.NET C#, Python, R) and JavaScript frameworks (e.g., Angular, React, Node.js). Azure/AWS, SaaS/ PaaS/IaaS. SQL and NOSQL databases (MSSQL, MongoDB, PostgreSQL etc.) Distributed caching NCacheRedis, Memcached etc. Distributed message queue RabbitMQ/Kafka C#/Java /Ruby / Node.js / Python Other Knowledge, Skills & Abilities: Familiarity with Microsoft Development Best Practices, Azure ML, Databricks, Synapse, MS Blazor and Fabric.

As an AI/ML Manager at our Pune location, you will be responsible for leading the development of machine learning proof of concepts (PoCs) and demos using structured/tabular data for various use cases like forecasting, risk scoring, churn prediction, and optimization. Your role will involve collaborating with sales engineering teams to understand client requirements and presenting ML solutions during pre-sales calls and technical workshops. You will be expected to build ML workflows using tools such as SageMaker, Azure ML, or Databricks ML, managing training, tuning, evaluation, and model packaging. Applying supervised, unsupervised, and semi-supervised techniques like XGBoost, CatBoost, k-Means, PCA, and time-series models will be a key part of your responsibilities. Working closely with data engineering teams, you will define data ingestion, preprocessing, and feature engineering pipelines using Python, Spark, and cloud-native tools. Packaging and documenting ML assets for scalability and transition into delivery teams post-demo will be essential. Staying updated with the latest best practices in ML explainability, model performance monitoring, and MLOps practices is also expected. Participation in internal knowledge sharing, tooling evaluation, and continuous improvement of lab processes are additional aspects of this role. To qualify for this position, you should have at least 8+ years of experience in developing and deploying classical machine learning models in production or PoC environments. Strong hands-on experience with Python, pandas, scikit-learn, and ML libraries like XGBoost, CatBoost, LightGBM is required. Familiarity with cloud-based ML environments such as AWS SageMaker, Azure ML, or Databricks is preferred. A solid understanding of feature engineering, model tuning, cross-validation, and error analysis is necessary. Experience with unsupervised learning, clustering, anomaly detection, and dimensionality reduction techniques will be beneficial. You should be comfortable presenting models and insights to both technical and non-technical stakeholders during pre-sales engagements. Working knowledge of MLOps concepts, including model versioning, deployment automation, and drift detection, will be an advantage. If you are interested in this opportunity, please apply or share your resume at kanika.garg@austere.co.in.,

The ideal candidate for this position in Ahmedabad should be a graduate with at least 3 years of experience. At Bytes Technolab, we strive to create a cutting-edge workplace infrastructure that empowers our employees and clients. Our focus on utilizing the latest technologies enables our development team to deliver high-quality software solutions for a variety of businesses. You will be responsible for leveraging your 3+ years of experience in Machine Learning and Artificial Intelligence to contribute to our projects. Proficiency in Python programming and relevant libraries such as NumPy, Pandas, and scikit-learn is essential. Hands-on experience with frameworks like PyTorch, TensorFlow, Keras, Facenet, and OpenCV will be key in your role. Your role will involve working with GPU acceleration for deep learning model development using CUDA, cuDNN. A strong understanding of neural networks, computer vision, and other AI technologies will be crucial. Experience with Large Language Models (LLMs) like GPT, BERT, LLaMA, and familiarity with frameworks such as LangChain, AutoGPT, and BabyAGI are preferred. You should be able to translate business requirements into ML/AI solutions and deploy models on cloud platforms like AWS SageMaker, Azure ML, and Google AI Platform. Proficiency in ETL pipelines, data preprocessing, and feature engineering is required, along with experience in MLOps tools like MLflow, Kubeflow, or TensorFlow Extended (TFX). Expertise in optimizing ML/AI models for performance and scalability across different hardware architectures is necessary. Knowledge of Natural Language Processing (NLP), Reinforcement Learning, and data versioning tools like DVC or Delta Lake is a plus. Skills in containerization tools like Docker and orchestration tools like Kubernetes will be beneficial for scalable deployments. You should have experience in model evaluation, A/B testing, and establishing continuous training pipelines. Working in Agile/Scrum environments with cross-functional teams, understanding ethical AI principles, model fairness, and bias mitigation techniques are important. Familiarity with CI/CD pipelines for machine learning workflows and the ability to communicate complex concepts to technical and non-technical stakeholders will be valuable.,

At PwC, our data and analytics team focuses on utilizing data to drive insights and support informed business decisions. We leverage advanced analytics techniques to assist clients in optimizing their operations and achieving strategic goals. As a data analysis professional at PwC, your role will involve utilizing advanced analytical methods to extract insights from large datasets, enabling data-driven decision-making. Your expertise in data manipulation, visualization, and statistical modeling will be pivotal in helping clients solve complex business challenges. PwC US - Acceleration Center is currently seeking a highly skilled MLOps/LLMOps Engineer to play a critical role in deploying, scaling, and maintaining Generative AI models. This position requires close collaboration with data scientists, ML/GenAI engineers, and DevOps teams to ensure the seamless integration and operation of GenAI models within production environments at PwC and for our clients. The ideal candidate will possess a strong background in MLOps practices and a keen interest in Generative AI technologies. With a preference for candidates with 4+ years of hands-on experience, core qualifications for this role include: - 3+ years of experience developing and deploying AI models in production environments, alongside 1 year of working on proofs of concept and prototypes. - Proficiency in software development, including building and maintaining scalable, distributed systems. - Strong programming skills in languages such as Python and familiarity with ML frameworks like TensorFlow and PyTorch. - Knowledge of containerization and orchestration tools like Docker and Kubernetes. - Understanding of cloud platforms such as AWS, GCP, and Azure, including their ML/AI service offerings. - Experience with continuous integration and delivery tools like Jenkins, GitLab CI/CD, or CircleCI. - Familiarity with infrastructure as code tools like Terraform or CloudFormation. Key Responsibilities: - Develop and implement MLOps strategies tailored for Generative AI models to ensure robustness, scalability, and reliability. - Design and manage CI/CD pipelines specialized for ML workflows, including deploying generative models like GANs, VAEs, and Transformers. - Monitor and optimize AI model performance in production, utilizing tools for continuous validation, retraining, and A/B testing. - Collaborate with data scientists and ML researchers to translate model requirements into scalable operational frameworks. - Implement best practices for version control, containerization, and orchestration using industry-standard tools. - Ensure compliance with data privacy regulations and company policies during model deployment. - Troubleshoot and resolve issues related to ML model serving, data anomalies, and infrastructure performance. - Stay updated with the latest MLOps and Generative AI developments to enhance AI capabilities. Project Delivery: - Design and implement scalable deployment pipelines for ML/GenAI models to transition them from development to production environments. - Oversee the setup of cloud infrastructure and automated data ingestion pipelines to meet GenAI workload requirements. - Create detailed documentation for deployment pipelines, monitoring setups, and operational procedures. Client Engagement: - Collaborate with clients to understand their business needs and design ML/LLMOps solutions. - Present technical approaches and results to technical and non-technical stakeholders. - Conduct training sessions and workshops for client teams. - Create comprehensive documentation and user guides for clients. Innovation And Knowledge Sharing: - Stay updated with the latest trends in MLOps/LLMOps and Generative AI. - Develop internal tools and frameworks to accelerate model development and deployment. - Mentor junior team members and contribute to technical publications. Professional And Educational Background: - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA,

You will be joining our innovative EdTech team as an experienced AI/ML Content Developer. Your primary responsibility will be to create cutting-edge educational content in the field of artificial intelligence and machine learning. You will play a key role in developing comprehensive courses that cover a wide range of AI/ML domains, starting from foundational machine learning concepts to advanced generative AI and agentic AI systems. This position presents an exciting opportunity for you to influence how the next generation of AI practitioners learn and apply these transformative technologies. In this role, your tasks will include designing and developing comprehensive courses across AI/ML domains such as machine learning, natural language processing, computer vision, generative AI, and agentic AI systems. You will create diverse content formats, including hands-on labs, interactive exercises, assessments, and project-based learning modules. Additionally, you will structure learning paths that logically progress from foundational concepts to advanced AI applications. You will also develop practical coding exercises and real-world implementation scenarios using industry-standard tools and frameworks. Ensuring the quality and industry relevance of the content will be a crucial aspect of your role. You will need to ensure that all content reflects current AI/ML best practices and stays aligned with rapidly evolving industry trends. Creating practical, real-world scenarios that simulate actual AI development workflows and challenges will be part of your responsibilities. You will also collaborate with our instructional design team to optimize learning outcomes for complex technical concepts. Furthermore, you will work closely with our platform team to ensure the seamless delivery of AI/ML content and interactive experiences. Continuous iteration and improvement of existing content based on learner feedback and performance metrics will be essential. Staying updated with the latest AI research, tools, and educational methodologies, as well as integrating emerging AI technologies and frameworks into the curriculum as they become industry-relevant, will also be part of your role. For this position, we are looking for candidates with 3+ years of hands-on industry experience in machine learning, AI development, or related technical roles. Essential qualifications include domain expertise in machine learning algorithms, deep learning architectures, and AI system design. Proficiency in Python and core data science libraries, experience with machine learning frameworks like PyTorch and TensorFlow, and expertise in natural language processing techniques are also required. Additionally, strong communication skills, the ability to explain complex AI concepts clearly, and experience in creating technical AI/ML content are essential for this role. Preferred qualifications include an advanced degree (Master's/PhD) in Computer Science, Machine Learning, Data Science, or a related field, published research in AI/ML conferences or journals, experience with reinforcement learning and multi-agent systems, familiarity with AI safety, ethics, and responsible AI development practices, and knowledge of emerging AI architectures and research trends. Background in technical training, workshops, or mentoring in AI/ML domains and an understanding of accessibility standards in educational content are also desirable.,

As an Azure ML and Python Dev- Senior 1/2 at EY GDS Consulting digital engineering, you will be responsible for designing and implementing data pre-processing, feature engineering, and model training pipelines. Your role will involve collaborating closely with data scientists to ensure model performance and reliability in production environments. Proficiency in Azure ML services, Python programming, and a strong background in machine learning are essential for this position. You will have the opportunity to lead and contribute to cutting-edge projects on the Azure platform. Your key responsibilities will include developing and deploying machine learning models on the Azure cloud platform, designing efficient data pipelines, collaborating with stakeholders, implementing best practices for ML development, and maintaining APIs for model deployment and integration with applications. Additionally, you will monitor and optimize model performance, participate in code reviews and troubleshooting, stay updated with industry trends, mentor junior team members, and contribute to innovation initiatives. To qualify for this role, you must have a bachelor's or master's degree in computer science, data science, or a related field, along with 6-8 years of experience in machine learning, data engineering, and cloud computing. Strong communication skills, a proven track record of successful project delivery, and relevant certifications are highly desirable. Experience with other cloud platforms and programming languages is a plus. Ideally, you will possess analytical ability to manage multiple projects simultaneously, familiarity with advanced ML techniques and frameworks, knowledge of cloud security principles, and experience with Big Data technologies. Working at EY offers you the opportunity to work on inspiring projects, receive support and coaching from engaging colleagues, develop new skills, progress your career, and enjoy freedom and flexibility in your role. EY is dedicated to building a better working world by creating new value for clients, people, society, and the planet. With a focus on data, AI, and advanced technology, EY teams help clients shape the future with confidence and address pressing issues. By working across a full spectrum of services in assurance, consulting, tax, strategy, and transactions, EY teams provide services globally and emphasize high quality, knowledge exchange, and interdisciplinary collaboration.,

You are an experienced AI/ML Content Developer who will be joining an innovative EdTech team. Your primary responsibility will involve creating cutting-edge educational content in artificial intelligence and machine learning. This includes developing comprehensive courses covering various AI/ML domains such as machine learning, natural language processing, computer vision, generative AI, and agentic AI systems. Your role will be pivotal in shaping how the next generation of AI practitioners learn and apply these transformative technologies. Your key responsibilities will include designing and developing comprehensive courses, content creation in various formats like hands-on labs, interactive exercises, assessments, and project-based learning modules. You will also be structuring learning paths logically from foundational concepts to advanced AI applications. Practical coding exercises and real-world implementation scenarios using industry-standard tools and frameworks will be a significant part of your role. Ensuring that all content reflects current AI/ML best practices and industry trends will be crucial. You will be creating practical, real-world scenarios that replicate AI development workflows and challenges. Moreover, developing hands-on projects involving model training, fine-tuning, and deployment to provide learners with portfolio-worthy experience will be essential. Collaboration with the instructional design team to optimize learning outcomes for complex technical concepts is also expected. You will work closely with the platform team to ensure the seamless delivery of AI/ML content and interactive experiences. Continuous iteration and improvement of existing content based on learner feedback and performance metrics will be part of your responsibilities. Staying current with the latest AI research, tools, and educational methodologies is necessary. Additionally, integrating emerging AI technologies and frameworks into the curriculum as they become industry-relevant is also expected. To qualify for this role, you should have at least 3+ years of hands-on industry experience in machine learning, AI development, or related technical roles. Domain expertise in machine learning algorithms, deep learning architectures, and AI system design is required. Proficiency in Python and core data science libraries, experience with machine learning frameworks like PyTorch and/or TensorFlow, and expertise in natural language processing techniques are necessary technical skills. Strong communication skills, the ability to explain complex AI concepts clearly, and experience in creating compelling narratives around AI applications and use cases are also essential. Preferred qualifications include an advanced degree (Master's/PhD) in Computer Science, Machine Learning, Data Science, or related fields, published research in AI/ML conferences or journals, experience with reinforcement learning and multi-agent systems, familiarity with AI safety, ethics, and responsible AI development practices, and knowledge of emerging AI architectures and research trends. Background in technical training, workshops, or mentoring in AI/ML domains and understanding of accessibility standards in educational content are also desirable.,

At PwC, we focus on leveraging data to drive insights and make informed business decisions in the field of data and analytics. Our team utilises advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. As a Data Analyst at PwC, you will play a crucial role in utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your responsibilities will include leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. We are currently seeking a highly skilled MLOps/LLMOps Engineer to join PwC US - Acceleration Center. In this role, you will be responsible for the deployment, scaling, and maintenance of Generative AI models. Working closely with data scientists, ML/GenAI engineers, and DevOps teams, you will ensure seamless integration and operation of GenAI models within production environments at PwC and our clients. The ideal candidate will have a strong background in MLOps practices, coupled with experience and interest in Generative AI technologies. As a candidate, you should have a minimum of 4+ years of hands-on experience. Core qualifications for this role include 3+ years of experience developing and deploying AI models in production environments, with a year of experience in developing proofs of concept and prototypes. Additionally, a strong background in software development, proficiency in programming languages like Python, knowledge of ML frameworks and libraries, familiarity with containerization and orchestration tools, and experience with cloud platforms and CI/CD tools are essential. Key responsibilities of the role involve developing and implementing MLOps strategies tailored for Generative AI models, designing and managing CI/CD pipelines specialized for ML workflows, monitoring and optimizing the performance of AI models in production, collaborating with data scientists and ML researchers, and ensuring compliance with data privacy regulations. You will also be responsible for troubleshooting and resolving issues related to ML model serving, data anomalies, and infrastructure performance. The successful candidate will be proficient in MLOps tools such as MLflow, Kubeflow, Airflow, or similar, have expertise in generative AI frameworks, containerization technologies, MLOps and LLMOps practices, and cloud-based AI services. Nice-to-have qualifications include experience with advanced GenAI applications, familiarity with experiment tracking tools, knowledge of high-performance computing techniques, and contributions to open-source MLOps or GenAI projects. In addition to technical skills, the role requires project delivery capabilities such as designing scalable deployment pipelines for ML/GenAI models, overseeing cloud infrastructure setup, and creating detailed documentation for deployment pipelines. Client engagement is another essential aspect, involving collaboration with clients to understand their business needs, presenting technical approaches and results, conducting training sessions, and creating user guides for clients. To stay ahead in the field, you will need to stay updated with the latest trends in MLOps/LLMOps and Generative AI, apply this knowledge to improve existing systems and processes, develop internal tools and frameworks, mentor junior team members, and contribute to technical publications. The ideal candidate for this position should hold any graduate/BE/B.Tech/MCA/M.Sc/M.E/M.Tech/Masters Degree/MBA. Join us at PwC and be part of a dynamic team driving innovation in data and analytics!,

We are seeking a dynamic and technically strong AI Lead with 68 years of industry experience, including a minimum of 5 years in AI/ML and Conversational AI technologies, with a specific focus on Microsofts AI ecosystem. The ideal candidate will lead the design, development, and delivery of intelligent solutions using Azure OpenAI, Copilot Studio, Microsoft Bot Framework, and AI Foundry. The individual will act as a hands-on technical lead, collaborating closely with product teams, architects, and business stakeholders to build impactful AI-powered copilots, chatbots, and enterprise automation solutions. Key Responsibilities: Lead end-to-end technical implementation of AI-driven projects using Microsoft AI tools: Azure OpenAI, Copilot Studio, and Bot Framework. Design and develop intelligent copilots, multi-turn chatbots, and custom GPT solutions integrated within enterprise tools such as Microsoft Teams, SharePoint, and Dynamics 365. Translate business requirements into technical architecture and AI flows using OpenAI APIs, prompt engineering, and integration with enterprise systems. Leverage AI Foundry to manage the AI lifecycle including model selection, deployment, monitoring, and optimization. Architect AI/ML solutions that use Retrieval-Augmented Generation (RAG), semantic search, and contextual memory frameworks (LangChain, Semantic Kernel, etc.). Collaborate with product owners and business analysts to identify high-value use cases and define solution roadmaps. Develop and execute POCs and MVPs with hands-on coding, configuration, and orchestration of LLMs and chatbot pipelines.Integrate with enterprise data sources via APIs, GraphQL, and Microsoft Graph to create holistic user experiences. Mentor junior developers and work with DevOps teams to ensure stable deployment, CI/CD, and performance monitoring. Create documentation and reusable components/templates for repeated use across the organization. Stay current on Microsofts AI advancements and recommend tools, features, or practices that improve time-to-value and performance. Must-Have Skills: 6-8 years of overall experience, including 5+ years in AI/ML or Conversational AI Deep hands-on knowledge of: Azure OpenAI services and APIs Copilot Studio for building Microsoft 365-integrated assistants Microsoft Bot Framework SDK/Composer for chatbot development Prompt engineering for LLM optimization Strong Python or Node.js development skills (for AI orchestration and integration) Experience with enterprise system integration using APIs (Microsoft Graph, REST, JSON, OAuth) Familiarity with Azure ML, Azure Cognitive Services, and Azure DevOps Ability to design RAG-based architectures, manage embeddings, and leverage vector databases (e.g., Azure AI Search) Strong understanding of natural language processing (NLP) and foundational models (GPT, BERT) Excellent communication, leadership, and stakeholder engagement capabilities Good-to-Have Skills: Experience with Semantic Kernel or LangChain Working knowledge of AI Foundry for orchestrating AI pipelines Familiarity with Copilot extensibility and Teams App Studio Exposure to M365 Copilot APIs and custom plugin creation Knowledge of Responsible AI, data security, and compliance principles Familiarity with containerized deployment (Docker, Kubernetes)Experience in building dashboards and analytics (Kibana, Grafana) to visualize bot usage and performance Basic understanding of Power Platform (Power Automate, Power Apps) and its integration with AI

Job Title: AI Engineer Job Type: Contract Location: Offshore (Remote) Start Date: July 28th, 2025 Experience: 5+ Years Shift Time: Till 1 pm EST Duration: 18 weeks Job Responsibilities: Design and implement scalable Gen AI solutions on Azure to meet enterprise needs. Build and optimize AI-based search systems for content discovery and business use cases. Develop agentic AI frameworks capable of autonomous decision-making and task execution. Work on data and content refinement pipelines to improve model performance and output relevance. Collaborate with cross-functional teams including architects, data scientists, and DevOps engineers. Ensure best practices in AI governance, model monitoring, and security are followed. Qualifications Gen AI on Azure (Azure OpenAI, Azure ML, Cognitive Services) Generative AI-based search (e.g., vector search, RAG models, embeddings) Strong foundation in AI/ML principles Experience with data/content pipelines and processing Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow) Preferred Experience: Proven track record in building agentic AI solutions Ability to work independently in a remote setting Experience in delivering short-term, high-impact AI projects

We Advantum Health Pvt. Ltd - US Healthcare MNC looking for Senior AI/ML Engineer. We Advantum Health Private Limited is a leading RCM and Medical Coding company, operating since 2013. Our Head Office is located in Hyderabad, with branch operations in Chennai and Noida. We are proud to be a Great Place to Work certified organization and a recipient of the Telangana Best Employer Award. Our office spans 35,000 sq. ft. in Cyber Gateway, Hitech City, Hyderabad Job Title: Senior AI/ML Engineer Location: Hitech City, Hyderabad, India Work from office Ph: 9177078628, 7382307530, 9059683624 Address: Advantum Health Private Limited, Cyber gateway, Block C, 4th floor Hitech City, Hyderabad. Location: https://www.google.com/maps/place/Advantum+Health+India/@17.4469674,78.3747158,289m/data=!3m2!1e3!5s0x3bcb93e01f1bbe71:0x694a7f60f2062a1!4m6!3m5!1s0x3bcb930059ea66d1:0x5f2dcd85862cf8be!8m2!3d17.4467126!4d78.3767566!16s%2Fg%2F11whflplxg?entry=ttu&g_ep=EgoyMDI1MDMxNi4wIKXMDSoASAFQAw%3D%3D Job Summary: We are seeking an experienced and innovative AI Technical Lead to drive the design, development, and deployment of AI-powered solutions across our organization. You will be responsible for leading a team of machine learning engineers, data scientists, and software developers, while collaborating with cross-functional teams to build scalable and intelligent products. Your role will blend hands-on technical expertise with leadership and strategic thinking Key Responsibilities: Lead the end-to-end technical delivery of AI/ML projects, from data ingestion to model deployment. Design robust machine learning and deep learning models tailored to business needs. Collaborate with product managers, stakeholders, and engineering teams to identify opportunities for AI applications. Guide and mentor AI/ML engineers and developers; provide architectural and technical direction. Establish best practices for model training, validation, versioning, and monitoring. Ensure scalability, performance, and security of AI solutions in production environments. Stay up to date with the latest AI trends, tools, and research; apply innovations where appropriate. Review and approve technical design documents, code, and model performance metrics. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 5+ years of experience in software development, with at least 2+ years in leading AI/ML teams or projects. Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience deploying models in production using platforms like AWS SageMaker, Azure ML, or Google Vertex AI. Solid understanding of data structures, algorithms, and software design principles. Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow). Excellent communication skills with the ability to articulate complex concepts to non-technical stakeholders. Preferred Qualifications: Experience with LLMs, generative AI, or computer vision. Background in big data technologies (e.g., Spark, Hadoop). Published research or contributions to open-source AI projects. Experience in regulated industries (e.g., healthcare, finance) is a plus. Follow us on LinkedIn, Facebook, Instagram, Youtube and Threads for all updates: Advantum Health Linkedin Page: https://www.linkedin.com/showcase/advantum-health-india/ Advantum Health Facebook Page: https://www.facebook.com/profile.php?id=61564435551477 Advantum Health Instagram Page: https://www.instagram.com/reel/DCXISlIO2os/?igsh=dHd3czVtc3Fyb2hk Advantum Health India Youtube link: https://youtube.com/@advantumhealthindia-rcmandcodi?si=265M1T2IF0gF-oF1 Advantum Health Threads link: https://www.threads.net/@advantum.health.india HR Dept, Advantum Health Pvt Ltd Cybergateway, Block C, Hitech City, Hyderabad Ph: 9177078628, 7382307530, 9059683624

Role & responsibilities Lead the development of machine learning PoCs and demos using structured/tabular data for use cases such as forecasting, risk scoring, churn prediction, and optimization. Collaborate with sales engineering teams to understand client needs and present ML solutions during pre-sales calls and technical workshops. Build ML workflows using tools such as SageMaker, Azure ML, or Databricks ML and manage training, tuning, evaluation, and model packaging. Apply supervised, unsupervised, and semi-supervised techniques such as XGBoost, CatBoost, k-Means, PCA, time-series models, and more. Work with data engineering teams to define data ingestion, preprocessing, and feature engineering pipelines using Python, Spark, and cloud-native tools. Package and document ML assets so they can be scaled or transitioned into delivery teams post-demo. Stay current with best practices in ML explainability , model performance monitoring , and MLOps practices. Participate in internal knowledge sharing, tooling evaluation, and continuous improvement of lab processes. Preferred candidate profile 8+ years of experience developing and deploying classical machine learning models in production or PoC environments. Strong hands-on experience with Python , pandas , scikit-learn , and ML libraries such as XGBoost, CatBoost , LightGBM, etc. Familiarity with cloud-based ML environments such as AWS SageMaker , Azure ML , or Databricks . Solid understanding of feature engineering, model tuning, cross-validation, and error analysis . Experience with unsupervised learning , clustering, anomaly detection, and dimensionality reduction techniques. Comfortable presenting models and insights to technical and non-technical stakeholders during pre-sales engagements. Working knowledge of MLOps concepts , including model versioning, deployment automation, and drift detection.

Contractual (Project-Based) Notice Period: Immediate - 15 Days Fill this form: https://forms.office.com/Pages/ResponsePage.aspx?id=hLjynUM4c0C8vhY4bzh6ZJ5WkWrYFoFOu2ZF3Vr0DXVUQlpCTURUVlJNS0c1VUlPNEI3UVlZUFZMMC4u Resume- shweta.soni@panthsoftech.com

Key Responsibilities Design and implement AI models for document processing, OCR, and data extraction from financial documents Develop machine learning pipelines for invoice classification, vendor matching, and payment prediction Build AI-powered reconciliation algorithms that can identify discrepancies and suggest corrections Prototype and iterate on natural language processing solutions for financial workflow automation Collaborate on end-to-end AI system architecture from data ingestion to model deployment Experiment with large language models and fine-tuning for financial domain applications Implement MLOps practices for model versioning, monitoring, and continuous improvement Required Qualifications 4+ years of experience in machine learning and AI development Strong proficiency in Python, with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn) Experience with computer vision and OCR technologies (OpenCV, Tesseract, cloud OCR APIs) Knowledge of NLP and experience with transformers, BERT, or similar architectures Familiarity with cloud ML platforms (AWS SageMaker, Google AI Platform, Azure ML) Experience with data processing frameworks (Pandas, NumPy, Apache Spark) Understanding of financial processes (invoicing, payments, reconciliation) preferred Comfortable with rapid prototyping and iterative development approaches Preferred Qualifications Experience with document AI and intelligent document processing Knowledge of financial regulations and compliance requirements Experience with vector databases and retrieval-augmented generation (RAG) Familiarity with API development and microservices architecture Experience with containerization (Docker, Kubernetes)

Design, develop, and deploy AI/ML models; build scalable, low-latency ML infrastructure; run experiments; optimize algorithms; collaborate with data scientists, engineers, and architects; integrate models into production to drive business value. Required Candidate profile 5–10 yrs in AI/ML, strong in model development, optimization, and deployment. Skilled in Azure, ML pipelines, data science tools, and collaboration with cross-functional teams.

Strong knowledge of Python, R, and ML frameworks such as scikit-learn, TensorFlow, PyTorch Experience with cloud ML platforms: SageMaker, Azure ML, Vertex AI LLM Experience such as GPT Hands-on experience with data wrangling, feature engineering, and model optimization Also experienced in developing model wrapers Deep understanding of algorithms including regression, classification, clustering, NLP, and deep learning Familiarity with MLOps tools like MLflow, Kubeflow, or Airflow

Strong knowledge of Python, R, and ML frameworks such as scikit-learn, TensorFlow, PyTorch Experience with cloud ML platforms: SageMaker, Azure ML, Vertex AI LLM Experience such as GPT Hands-on experience with data wrangling, feature engineering, and model optimization Also experienced in developing model wrapers Deep understanding of algorithms including regression, classification, clustering, NLP, and deep learning Familiarity with MLOps tools like MLflow, Kubeflow, or Airflow

Strong knowledge of Python, R, and ML frameworks such as scikit-learn, TensorFlow, PyTorch. Experience with cloud ML platforms: SageMaker, Azure ML, Vertex AI.LLM Experience such as GPT Hands-on experience with data wrangling, feature engineering, and model optimization. Also experienced in developing model wrapers. Deep understanding of algorithms including regression, classification, clustering, NLP, and deep learning. Familiarity with MLOps tools like MLflow, Kubeflow, or Airflow.

ZS s Beyond Healthcare Analytics (BHCA) Team is shaping one of the key growth vector area for ZS, Beyond Healthcare engagement, comprising of clients from industries like Quick service restaurants, Technology, Food & Beverage, Hospitality, Travel, Insurance, Consumer Products Goods & other such industries across North America, Europe & South East Asia region. BHCA India team currently has presence across New Delhi, Pune and Bengaluru offices and is continuously expanding further at a great pace. BHCA India team works with colleagues across clients and geographies to create and deliver real world pragmatic solutions leveraging AI SaaS products & platforms, Generative AI applications, and other Advanced analytics solutions at scale. What You ll Do: Build, Refine and Use ML Engineering platforms and components. Scaling machine learning algorithms to work on massive data sets and strict SLAs. Build and orchestrate model pipelines including feature engineering, inferencing and continuous model training. Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop. Collaborate with client facing teams to understand business context at a high level and contribute in technical requirement gathering. Implement basic features aligning with technical requirements. Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors. Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews. Write unit tests as well as higher level tests to handle expected edge cases and errors gracefully, as well as happy paths. Uses bug tracking, code review, version control and other tools to organize and deliver work. Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues and dependencies. Consistently contribute in researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions. What You ll Bring A master's or bachelor s degree in Computer Science or related field from a top university. 4+ years hands-on experience in ML development. Good understanding of the fundamentals of machine learning Strong programming expertise in Python, PySpark/Scala. Expertise in crafting ML Models for high performance and scalability. Experience in implementing feature engineering, inferencing pipelines, and real time model predictions. Experience in ML Ops to measure and track model performance, experience working with MLFlow Experience with Spark or other distributed computing frameworks. Experience in ML platforms like Sage maker, Kubeflow. Experience with pipeline orchestration tools such Airflow. Experience in deploying models to cloud services like AWS, Azure, GCP, Azure ML. Expertise in SQL, SQL DB's. Knowledgeable of core CS concepts such as common data structures and algorithms. Collaborate well with teams with different backgrounds / expertise / functions

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deployment. - Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. - Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. - Collaborate with business stakeholders to gather requirements and translate them into data science use cases. - Build robust data pipelines and use statistical and machine learning methods to drive insights. - Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. - Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications : - Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. - Minimum 8 years of relevant experience in data science, with a strong focus on optimization. - Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. - Experience with end-to-end lifecycle of internal optimization projects. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. - Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. - Familiarity with dashboards and visualization tools like Power BI or Tableau. - Prior experience in consulting or internal centers of excellence (CoE) is a plus.