330 Azure Ml Jobs - Page 11

The role requires you to design, develop, and maintain complex, high-performance, and scalable MLOps systems that interact with AI models and systems. You will collaborate with cross-functional teams, including data scientists, AI researchers, and AI/ML engineers, to comprehend requirements, define project scope, and ensure alignment with business goals. Your expertise will be crucial in selecting, evaluating, and implementing software technologies, tools, and frameworks within a cloud-native (Azure + AML) environment. Troubleshooting and resolving intricate software issues to ensure optimal performance and reliability when interfacing with AI/ML systems is an essential part of your responsi...

Were Hiring: Lead AI Engineer Experience:5+ Years Experience Location: Kolkata Company: Decorpot Key Skills & Expertise: * AI Frameworks:TensorFlow, PyTorch, TensorFlow\.js, Hugging Face * 3D Integration:Three.js, Babylon.js, WebGL * Cloud Platforms:AWS (SageMaker, S3), Google Cloud AI, Azure ML * Version Control:Git (GitHub/GitLab) * Collaboration Tools:JIRA, Slack, Trello (Agile workflows) * Testing:Postman (API), Selenium (Web apps) Apply Now: perambhargav.reddy@decorpot.com

Design, develop, deploy ML models for real-world applications Implement, optimize ML pipelines using PySpark & MLflow Structured/ unstructured data using Pandas, NumPy Train models using scikit-learn, TensorFlow, PyTorch. Integrate LLMs Required Candidate profile Strong in Python, ML algorithms, model development, evaluation techniques Exp in PySpark model lifecycle management, MLflow Pandas, NumPy, and Scikit-learn, LLMs (OpenAI, Hugging Face Transformers)

Role & responsibilities ML Engineer Role Summary Implements and operationalizes machine learning models, managing the end-to-end ML lifecycle including training, deployment, and monitoring. Detailed Responsibilities Package and deploy ML models using Azure ML pipelines. Automate retraining and versioning workflows. Build and maintain model scoring APIs and batch inference jobs. Monitor performance and drift in deployed models. Implement CI/CD for ML (MLOps). Optimize resource utilization and performance of ML workloads. Key Skills and Technologies Azure ML, MLflow Python (ML frameworks) AKS (Azure Kubernetes Service) for model hosting CI/CD for ML workflows Model monitoring and alerting Expe...

We have multiple roles : Lead AI Developer Senior AI developer Senior software engineer Tech lead - ML Architect Requirement : Skilled and innovative AI Developer to design, develop, and deploy AI and machine learning solutions that solve real-world business problems. The ideal candidate will work. Technical skills : Programming Languages: Python (primary), R, SQL ML Frameworks: TensorFlow, PyTorch, Scikit-learn Data Handling: Pandas, NumPy, Spark Model Deployment: Docker, FastAPI, Flask, Azure ML, MLflow Cloud Platforms: Azure (preferred), AWS, GCP Version Control & CI/CD: Git, GitHub, Azure DevOps Optional: Experience with NLP, computer vision, or generative AI models Required Qualificatio...

Mode: FTE Relevant experience should not be less than 8 yrs. Job Location Noida sector 16, WTT Tower. Hybrid Preferred is diversity candidates, immediate joiners Job role: AI Platform Lead Requirements: Proven track record with more than 5 years of experience in AI/ML platform management or similar roles Strong knowledge of machine learning, data analytics, and cloud computing Extensive hands-on experience with technologies such as Dataiku, Azure ML, Azure AI Foundry, and related systems Well-versed in agile methodologies, DevOps practices, and CI/CD pipeline management Ability to manage multiple priorities in a fast-paced, dynamic environment Skilled in leading cross-functional teams and ex...

Design, build, and scale MLOps systems on Azure, integrating GenAI and edge deployments. Collaborate with AI teams, lead tech decisions, develop CI/CD/data pipelines, and support model optimization, deployment, and monitoring in production.

As a Data Scientist with over 5 years of experience, you will be responsible for leveraging your strong analytical and problem-solving skills along with your programming knowledge to drive hypothesis quickly through the discovery phase of projects. You will be expected to have advanced skills in statistical/programming software such as R, Python, and data querying languages like SQL, Hadoop/Hive, Scala. Additionally, you should possess hands-on experience in feature engineering, hyperparameter optimization, and producing high-quality code, tests, and documentation. Your role will involve utilizing Microsoft Azure or AWS data management tools like Azure Data Factory, Data Lake, Azure ML, Syna...

We are seeking a skilled and experienced AI/ML Engineer to join our Bangalore-based team. The ideal candidate will have a strong background in machine learning, data preprocessing, and deploying AI solutions in cloud environments. This role requires a hands-on professional with a consulting mindset who can translate business needs into actionable AI/ML solutions. The candidate will lead and support the design, implementation, and optimization of AI-powered tools across various business or public sector environments. The role also includes client interaction, mentoring junior staff, and contributing to end-to-end project lifecyclesfrom data ingestion to model deployment and monitoring. Lead t...

As an Azure - Development Consultant/Senior Consultant/Specialist at Hitachi Solutions India Pvt Ltd, you will be responsible for leveraging your 3 to 8 years of experience to work with Microsoft Azure Stack IoT Hub, Event Hub, Azure Functions, Azure Logic Apps, Azure Data Factory, Cosmos DB, Azure data bricks, Azure ML, IoT Edge, Docker, and Python. You will utilize your expertise in Serverless Functions (Using Java/Python), App services, Azure Kubernetes services, and more to configure, monitor, and handle scale scenarios for Network Service Components on Azure. Your experience in implementing Azure security, authentication, and single sign-on will be beneficial for the role. In addition t...

You have a total of 8+ years of experience, with at least 4 years in AI, ML, and Gen AI technologies. You have successfully led and expanded AI/ML teams and projects. Your expertise includes a deep understanding and practical experience in AI, ML, Deep Learning, and Generative AI concepts. You are proficient in ML frameworks like PyTorch and/or TensorFlow and have worked with ONNX runtime, model optimization, and hyperparameter tuning. You possess solid experience in DevOps, SDLC, CI/CD, and MLOps practices, with a tech stack that includes Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, and ELK stack. You have deployed AI models at an...

As a part of this role, you will be responsible for setting up a Center of Excellence (CoE) and business practice for Enterprise AI solutions. You will be tasked with establishing Data Science & Analytics as a Service (DaaS) and building a practice with capabilities to create solution blueprints and roadmaps, orchestrate data acquisition, management, and engineering, as well as develop AI/ML models to solve analytical problems. It will be essential to stay updated with industry trends and developments to ensure the practice remains cutting-edge. In addition, you will promote collaboration and engagement within the team and with stakeholders. Your responsibilities will include creating techni...

About KPMG in India KPMG entities in India are professional services firm(s) affiliated with KPMG International Limited since August 1993. Leveraging the global network of firms, professionals at KPMG in India are well-versed in local laws, regulations, markets, and competition. With offices across various cities in India such as Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada, KPMG entities offer services to national and international clients across sectors. The services aim to be rapid, performance-based, industry-focused, and technology-enabled, reflecting a deep understanding of global and local industr...

As a Sr. Data Scientist with over 5 years of professional experience, you will be joining the data team of Inferenz, a client of Uplers. Your primary responsibility will involve analyzing large datasets, developing predictive models, and deriving actionable insights to facilitate strategic decision-making. This role presents an exciting opportunity to create a tangible impact by leveraging machine learning, statistical analysis, and business intelligence within a dynamic work environment. Your key responsibilities will include extracting insights and constructing models to comprehend and predict key metrics. You will collaborate closely with stakeholders to identify business challenges and t...

The role of warehousing and logistics systems is becoming increasingly crucial in enhancing the competitiveness of various companies and contributing to the overall efficiency of the global economy. Modern intra-logistics solutions integrate cutting-edge mechatronics, sophisticated software, advanced robotics, computational perception, and AI algorithms to ensure high throughput and streamlined processing for critical commercial logistics functions. Our Warehouse Execution Software is designed to optimize intralogistics and warehouse automation by utilizing advanced optimization techniques. By synchronizing discrete logistics processes, we have created a real-time decision engine that maximi...

You are an experienced Senior Machine Learning Engineer looking to leverage your expertise in building and deploying ML model pipelines at scale. As part of Salesforce's Marketing AI/ML Algorithms and Applications team, you will play a crucial role in developing high-impact ML solutions that enhance marketing effectiveness and deliver customer value. In this role, you will collaborate closely with Data Science, Data Engineering, Product, and Marketing teams to design, implement, and operate end-to-end ML solutions at scale. Your responsibilities will include designing and developing scalable ML platforms and pipelines, implementing MLOps best practices for model serving and lifecycle managem...

As a Learning Data Science/Machine Learning Professional at our organization, you will be responsible for conducting live instruction sessions to teach core topics in data science and machine learning. These topics include supervised and unsupervised learning, deep learning, model evaluation, and MLOps. You will engage with learners through interactive sessions to ensure a comprehensive understanding of the subject matter. Collaboration with content teams is a crucial aspect of this role. You will work closely with these teams to design labs, conduct code walkthroughs, and develop real-world case studies utilizing Python, scikit-learn, TensorFlow/PyTorch, and cloud-based data science and mac...

As an MLOps Engineer at Neolytix, you will play a crucial role in developing and implementing intelligent claims analysis, prioritization, and denial resolution models for our AI-driven healthcare claims management application. This involves working closely with healthcare experts and engineers to orchestrate Large Language Models (LLMs) and Small Language Models (SLMs) to optimize revenue cycle processes, minimize Accounts Receivable (AR) dollars, and enhance claim resolution efficiency. Your responsibilities will include designing and implementing AI/ML models for claims prioritization, denial resolution, and revenue cycle optimization. You will be tasked with developing and fine-tuning LL...

As an AI / ML Engineer, you will be responsible for utilizing your expertise in the field of Artificial Intelligence and Machine Learning to develop innovative solutions. You should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or a related field. With a minimum of 6 years of experience in AI/ML, you are expected to demonstrate proficiency in Python and various ML libraries such as scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn. In this role, you will need a strong understanding of machine learning algorithms and deep learning architectures including CNNs, RNNs, and Transformers. Hands-on experience with TensorFlow, Py...

We are looking for a Senior Solution Architect with 10+ years of experience in software development and AI/ML, including 5+ years in Generative AI and Azure ML, with hands on experience in designing and deployment of scalable AI solutions, drive innovation, and collaborate across teams to integrate cutting-edge technologies into business processes. Responsibilities & Skills: Architect and implement AI solutions using Generative AI, ML, and Azure ML aligned with business goals. Lead development of Generative AI models (e.g., GPT, DALL•E, BERT) for NLP, computer vision, and automation. Expert in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn); strong understanding of learning tech...

Tezo is a new generation Digital & AI solutions provider, renowned for delivering exceptional outcomes to customers through cutting-edge analytics, data proficiency, technology, and digital excellence. We are currently looking for a highly experienced and dynamic Practice Head in Data Science & AI to spearhead our data practice in Hyderabad. This role is tailored for a technology leader well-versed in Data Science, Artificial Intelligence (AI), and Machine Learning (ML), with a track record of building and expanding data practices. The ideal candidate should possess strong business acumen, experience in solution selling, and pre-sales expertise. As the Practice Head in Data Science & AI at T...

We are seeking a talented Systems Architect (AVP level) with specialized knowledge in designing and expanding Generative AI solutions for production environments. In this pivotal position, you will collaborate across various teams including data scientists, ML engineers, and product leaders to mold enterprise-level GenAI platforms. Your responsibilities will include designing and scaling LLM-based systems such as chatbots, copilots, RAG, and multi-modal AI, architecting data pipelines, training/inference workflows, and integrating MLOps. You will be tasked with ensuring that systems are modular, secure, scalable, and cost-effective. Additionally, you will work on model orchestration, agentic...

As a Software Engineer specializing in AI/ML/LLM/Data Science at Entra Solutions, a FinTech company within the mortgage Industry, you will play a crucial role in designing, developing, and deploying AI-driven solutions using cutting-edge technologies such as Machine Learning, NLP, and Large Language Models (LLMs). Your primary focus will be on building and optimizing retrieval-augmented generation (RAG) systems, LLM fine-tuning, and vector search technologies using Python. You will be responsible for developing scalable AI pipelines that ensure high performance and seamless integration with both cloud and on-premises environments. Additionally, this role will involve implementing MLOps best ...

NTT DATA is looking for a Systems Integration Specialist to join their team in Bangalore, Karntaka (IN-KA), India. As a Systems Integration Specialist, your main responsibility will be to build machine learning models for predicting asset health, process anomalies, and optimizing operations. You will also work on sensor data pre-processing, model training, and inference deployment. Collaboration with simulation engineers for closed-loop systems will also be a part of your role. The ideal candidate should have 4-6 years of experience and possess the following skills: - Experience in time-series modeling, regression/classification, and anomaly detection. - Familiarity with Python, scikit-learn...

We are looking for a Systems Architect (AVP level) with extensive experience in designing and scaling Generative AI solutions for production. As a Systems Architect, you will play a crucial role in collaborating with data scientists, ML engineers, and product leaders to shape enterprise-grade GenAI platforms. Your responsibilities will include designing and scaling LLM-based systems such as chatbots, copilots, RAG, and multi-modal AI. You will also be responsible for architecting data pipelines, training/inference workflows, and MLOps integration. It is essential to ensure that the systems you design are modular, secure, scalable, and cost-effective. Additionally, you will work on model orch...