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Description
Job Role: Azure AI/ML Engineer Role Overview: We are seeking an experienced and innovative Azure AI/ML Engineer to design, build, and deploy AI and ML solutions on Microsoft Azure . The ideal candidate will be responsible for designing, developing, and deploying cutting-edge AI/ML solutions to solve complex business problems Key Responsibilities : Design, build, train, and deploy machine learning models using Azure Machine Learning and integrate solutions with Copilot and Gemini-based technologies. Leverage pre-built capabilities of Azure Cognitive Services and tools like Microsoft Copilot AI for enhancing efficiency in development workflows. Work on end-to-end AI/ML pipelines, from data ingestion to production-ready deployment. Automate scalable pipelines for end-to-end AI/ML workflows, including data preparation, model training, and monitoring. Process, clean, and transform data to make it usable for modeling. Leverage Azure Data Factory, Azure Synapse Analytics, and Azure Databricks for data preparation. Ensure data pipelines are efficient, secure, and optimized for model deployment. Use advanced tools like Gemini for multi-modal data exploration to discover insights and inform model decisions. Utilize Microsoft Copilot as part of your workflow to automate code suggestions, simplify debugging, and accelerate solution prototyping. Empower development teams by integrating AI powered insights into predictive modeling and decision-making frameworks. Develop solutions integrating generative AI features powered by tools like Azure OpenAI with business workflows. Fine-tune machine learning models to improve accuracy, speed, and scalability.Use Copilot's suggestions and Gemini AI analytics to maximize prediction accuracy and efficiency where applicable. Monitor and retrain AI/ML models to maintain performance as business needs evolve. Ensure scalable, robust, and adaptive AI/ML models with MLOps pipelines on Azure Kubernetes Services (AKS) or Azure DevOps platforms. Seamlessly integrate AI/ML models into business applications. Collaborate with cross-disciplinary teams on solution delivery. Stay informed about the evolving capabilities of Copilot and Gemini and apply them to improve workflows and services. Explore new Azure AI/ML tools and technologies to enhance organizations capabilities. Use generative AI, large language models (LLMs), and other advanced techniques to address unique challenges. Experiment with large language models (LLMs) and advanced AI algorithms to push boundaries on AI-driven innovation. Ensure AI solutions follow best practices for responsible AI, including fairness, transparency, and ethical considerations. Maintain compliance with data security and governance standards in AI applications. Required Skills/Qualifications : 3+ years of experience working on AI/ML projects, with a focus on deploying solutions in Azure ecosystems. Proficiency in Python, R, or Java for AI/ML model development, with advanced usage of Microsoft Copilot AI for boosting productivity during coding and debugging. Hands-on knowledge of Azure AI Services, including Azure Machine Learning, Azure Cognitive Services, and Azure Databricks for AI initiatives. Hands-on experience with AI-powered development tools (Copilot, Gemini AI, Azure OpenAI. Strong understanding of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and deployment best practices. Expertise in data processing and pipeline-building tools like Azure Data Factory and Azure Synapse Analytics. Familiarity with leveraging Gemini AI for predictive analytics, actionable insights, and data visualization. Competency in building and handling CI/CD processes using Azure DevOps or equivalent platforms optimized with Copilot integration. Strong knowledge or background in deploying containerized AI applications using Docker, Kubernetes, and tools like Azure AKS. Ability to leverage Copilot for rapid prototyping, testing, and solving repetitive development tasks. Skilled in experimenting and scaling models with Gemini AI, focusing on multi-modal applications and next-gen analytics. Strong problem-solving ability with a demonstrated focus on real-world AI challenges. Solid knowledge of Azure AI best practices, from model selection to monitoring. Previous experience with responsible AI principles and implementing ethical guidelines in AI systems is a plus. Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, Information Technology or a related field. Relevant professional certifications like Azure AI Engineer Associate, Azure Data Scientist Associate, Microsoft Certified Solutions Expert in Data Management and Analytics. Job Role : Azure AI Solution Architect Role Overview: We are looking for an Azure AI Solution Architect with deep expertise in Microsoft Azure services to design and implement AI solutions on Microsoft Azure. This role requires proficiency in Azure AI/ML, AI-powered development tools like Copilot, and strategic AI integrations using Google Gemini and OpenAI. Key Responsibilities : Design end-to-end AI/ML solutions using Azure services, including Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure OpenAPI, while incorporating Copilot and Gemini capabilities into design workflows and development as appropriate. Architect scalable, secure, and high-performance AI systems that integrate seamlessly with business applications. Assess business objectives and requirements to determine where AI/ML can generate the most value and return on investment. Lead the development of AI/ML pipelines, including data preparation, model development, and production deployment, leveraging Copilot for development acceleration. Integrate AI models into cloud-based enterprise architectures while maintaining system integrity and scalability. Implement scalable data pipelines using Azure Synapse Analytics, Data Factory, and Microsoft Fabric. Apply Gemini AI for advanced analytics, feature engineering, and ensuring alignment with business goals. Provide input on AI strategy and roadmap, aligning Azure AI capabilities with industry-specific needs. Collaborate with data scientists, AI engineers, and other stakeholders to ensure architectural alignment and successful solution delivery. Explore the evolving potential of Copilot and Gemini, scaling their integration into AI/ML solutions and workflows. Foster innovation by identifying emerging Azure AI services and tools that can enhance business processes. Advise on MLOps practices using Azure DevOps and Azure Kubernetes Services (AKS) to ensure smooth model lifecycle management and to automate the monitoring and continuous improvement of deployed AI models. Ensure the highest standards of Responsible AI and ensure compliance with data governance, data privacy standards, and Azure-specific best practices. Required Skills/Qualifications : 5+ years of experience in designing and implementing AI solutions, with a focus on Azure ecosystems. Expertise in architecting AI/ML solutions using Azure services like Azure Cognitive Services, Azure Machine Learning, Azure OpenAI, and Azure Functions. Strong foundation in programming languages like Python, R, and Java. Proficient in designing secure, scalable, and high-performing AI systems. Skilled in managing and optimizing AI-driven workflows combining multiple tools. Hands-on experience with data tools like Azure Data Lake Storage, Azure Synapse Analytics, and Azure Data Factory Hands-on experience with Microsoft Copilot capabilities, including use in prototyping and debugging workflows. Proficiency in leveraging Gemini AI for data analysis, multi-modal insights, and large-scale AI experimentation. Deep understanding of machine learning algorithms, artificial intelligence frameworks (e.g., TensorFlow, PyTorch), and model interpretability. Knowledge of DevOps/MLOps practices using tools like Azure DevOps, Azure Kubernetes Service (AKS), and Docker. Ability to provide strategic guidance on the adoption of emerging tools like Copilot and Gemini in enterprise projects. Familiarity with generative AI technologies, including large language models and GPT-based solutions. Strong problem-solving skills with a focus on addressing real-world business requirements. Strong collaboration and communication skills, enabling seamless interaction with both technical teams and business stakeholders. Understanding of ethical AI practices to design equitable, trustworthy, and compliant AI systems. Bachelors or Masters degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field. Relevant certifications like Microsoft Azure Solutions Architect Expert, Azure Data Scientist Associate, Azure AI Engineer Associate. Azure Data Engineer Job Summary We are seeking skilled and motivated Azure Data Engineers to join our team in associate roles. The candidate will have hands-on experience in developing, implementing, and optimising data pipelines, leveraging the full suite of Azure data services. This role is critical for supporting our data-driven projects by ensuring efficient, secure, and reliable data solutions and flows across various platforms. Key Responsibilities Develop, maintain, and optimize scalable data pipelines to support organizations (including clients) data processing and analytics needs- for traditional and AI-driven environments. Work with Azure data services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Cosmos DB and Azure SQL Database. Design data ingestion, integration, and ETL/ELT strategies. Design and Implement ETL/ELT processes to extract, transform, and load data from diverse data sources into centralized data repositories. Design and Implement data lakes, data warehouses, and real-time analytics solutions Ensure data accuracy, completeness, and security within pipelines and storage. Ensure the quality of structured and unstructured data is maintained. Automate data workflows using technologies like Azure Functions, Logic Apps, or Python. Monitor and troubleshoot performance issues to identify opportunities for optimization. Collaborate with data scientists, architects, analysts and business stakeholders. Manage and enhance data integration across platforms to ensure uninterrupted flow of information. Perform data cleansing, transformation, and enrichment techniques to maintain high-quality datasets. Implement and enforce data governance, security and privacy practices in compliance with organizational & regulatory standards and industry best practices. Stay updated with the latest advancements in Azure data technologies and recommend innovative solutions. Required Skills/Qualifications Proven experience working with Azure data services, including (but not limited to) Azure Data Factory, Azure DataBricks, Azure Synapse Analytics, Azure DataLake, Azure SQL Database, Azure Blob Storage. Solid understanding of data modelling, data governance, data security & privacy and database design principles. Experience with designing data architectures supporting AI/ML workloads and big data technologies like Databricks, Dataproc, Hadoop or Apache Spark, Microsoft Fabric is a plus. Proficient with programming languages such as Python or SQL. Experience with Power BI for visualization and reporting is a plus. Strong problem-solving skills with the ability to translate complex data into clear insights Understanding of data modeling, warehousing, and lakehouse architectures Knowledge of Azure Machine Learning, ML Ops practices and ML model data requirements Experience with preparing and transforming data for ML model training, Azure ML integration with Synapse and DataBricks is a plus Strong communication skills, with the ability to engage both technical and non-technical stakeholders. Familiarity with DevOps (CI/CD for data pipelines) and Infrastructure as Code (IaC). Bachelors/Masters degree in Computer Science, Information Technology or a related field. Microsoft Azure Certifications such as Azure Data Engineer Associate. Azure Data Architect Job Summary We are seeking talented and experienced Azure Data Architects to join our team in associate roles. The chosen candidate will be responsible for designing and overseeing scalable, secure, high-performance data solutions. This role will involve working closely with stakeholders to understand business goals and organisation/client requirements, architecting modern data platforms on Azure, and ensuring alignment with best practices in data architecture, governance, and integration. Key Responsibilities Design and implement scalable, performant, and secure data architectures that meet business , technical and non-functional requirements. Define and design data models for transactional systems, operational data stores (ODS), and analytical environments. Leverage Azure services such as Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, Azure DataLake, Azure Data Factory, Azure DataBricks and Azure Cosmos DB for strategic data solution development. Collaborate with cross-functional teams to understand current and future data needs, aligning architecture to support these goals. Establish and enforce data governance, security and compliance standards, ensuring data integrity, quality, and security across all systems. Architect real-time and batch data processing solutions. Optimize and modernize existing data infrastructure to enhance efficiency and scalability. Provide technical leadership and mentorship to data engineers and other team members. Stay updated on advancements in cloud technologies, particularly in the Azure ecosystem, and propose solutions that benefit the organization. Develop best practice frameworks for data modeling, storage, integration, and analytics. Create architecture documentation, including data flow diagrams, technical designs, and roadmaps. Required Skills/Qualifications Extensive hands-on experience designing and implementing Azure-based data platforms and creation of corresponding architecture documentation, including data flow diagrams, technical designs, and roadmaps. Expertise in data modeling, including conceptual, logical, and physical schemas. Strong knowledge and expertise of Azure services like Azure Synapse, Azure Data Factory, Azure DataBricks, Azure DataLake and Azure SQL. Knowledge of Azure Machine Learning, ML Ops practices and ML model data requirements. Experience with AI/ML workloads and big data technologies like Databricks, Dataproc, Hadoop or Apache Spark, Microsoft Fabric is a plus. Solid understanding of cloud security practices like encryption/RBAC and compliance standards like GDPR/HIPAA. Proficiency in working with data governance tools, policies, and frameworks. Proficiency in DevOps(CI/CD pipelines) and programming languages like SQL, Python, and Infrastructure as Code. Experience with Power BI for visualization and reporting is a plus. Experience with preparing and transforming data for ML model training Bachelors/ Masters degree in Computer Science, Information Systems, Data Architecture or a related field. Microsoft Azure Certifications such as Azure Data Engineer Associate, Azure Solutions Architect Expert. Compensation: Day rate of INR10,000 to INR15,000 per day Permanent salary between 20 lakh to 50 lakh, depending on the experience Working from Home Opportunity to travel onsite
