1924 Azure Cloud Jobs - Page 21

We are seeking a skilled and motivated DevOps Engineer to join our dynamic team. The ideal candidate will have a strong background in CI/CD pipelines, cloud infrastructure, containerization, and automation, along with basic programming knowledge.

Looking for Back-end developers with following skills. Minimum of 3 Years experience .NET & Azure Exp in React , Javascript & CSS will be an advantage Good Communication Required Candidate profile Candidates with good analytical and functional skills. Good communication to work with overseas clients Documentation skills Testing Skills

Key Responsibilities: Platform Development: Design and build backend services and platform features using Ruby on Rails as the primary framework. System Architecture: Collaborate with engineering teams to define and implement scalable and maintainable systems architecture. API Design: Develop and maintain RESTful or GraphQL APIs that support front-end and third-party integrations. Database Management: Work with relational databases (SQL, PostgreSQL, MySQL) to design data models, write complex queries, and optimize database performance. Message Queuing & Event Streaming: Work with Kafka for event-driven architecture and message queuing to ensure system reliability and scalability. Caching: Implement caching strategies using tools like Redis to optimize performance and reduce latency. Performance & Scalability: Optimize platform services for performance, scalability, and reliability, particularly for large-scale data handling. Code Quality & Testing: Follow best practices for clean, maintainable code, and write automated tests to ensure system reliability. Collaboration: Work closely with cross-functional teams, including frontend developers (React/Typescript), DevOps, and product teams, to deliver high-quality, user-friendly features. Continuous Improvement: Stay up-to-date with new technologies, industry trends, and best practices to continuously improve the platform. Required Skills & Qualifications: Strong experience with Ruby and Ruby on Rails (primary focus). Proficiency in SQL and experience with relational databases (PostgreSQL, MySQL). Experience working with Kafka for building event-driven architectures and handling messaging queues. Strong understanding of API design (RESTful, GraphQL) and integration with various systems. Nice to have a Familiarity with backend caching techniques using Redis. Ability to write clean, maintainable, and efficient code following best practices and design patterns. Experience with version control systems like Git. Knowledge of testing frameworks and practices (e.g., RSpec, Minitest). Strong problem-solving skills, attention to detail, and the ability to troubleshoot complex technical issues. Excellent communication skills and the ability to work effectively in a collaborative team environment. Preferred Qualifications: Elixir experience or willingness to learn. Familiarity with React and TypeScript for full-stack development. Experience with Docker and containerization. Familiarity with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of CI/CD pipelines and automated deployment practices. Familiarity with Agile methodologies and project management tools. Why Join Us: Be part of a dynamic, innovative team working on cutting-edge technologies. Opportunities for professional growth and career advancement. Competitive salary and benefits package. Flexible work hours and remote work options.

Job Description: Role Overview We are seeking a highly skilled AI Engineer with 8-12 years of experience to lead the development of Generative AI (GenAI) and Machine learning solutions for internal projects. This role requires a self-driven leader with exceptional communication, strategic thinking, and expertise in data analytics and visualization to deliver innovative GenAI tools tailored to internal team needs while driving cross-functional collaboration. Key Responsibilities GenAI Development: Design and develop advanced GenAI models (e.g., LLMs, DALL E models) and AI Agents to automate internal tasks and workflows. Exposure to LLMs: Utilize Azure Open AI APIs, experience on models like GPT4o, O3 , llama3 Enhance the existing R AG based application: In depth understanding of stages of RAG - chunking, retrieval etc. Cloud Deployment: Deploy and scale GenAI solutions on Azure Cloud services (e.g., Azure Function App) for optimal performance. In depth understanding of ML models like linear regression, random forest, decision trees. In depth understanding on clustering and supervised models. AI Agent Development: Build AI agents using frameworks like LangChain to streamline internal processes and boost efficiency. Data Analytics : Perform advanced data analytics to preprocess datasets, evaluate model performance, and derive actionable insights for GenAI solutions. Data Visualization: Create compelling visualizations (e.g., dashboards, charts) to communicate model outputs, performance metrics, and business insights to stakeholders. Stakeholder Collaboration: Partner with departments to gather requirements, align on goals, and present technical solutions and insights effectively to non-technical stakeholders. Model Optimization: Fine-tune GenAI models for efficiency and accuracy using techniques like prompt engineering, quantization, and RAG (Retrieval-Augmented Generation). LLMOps Best Practices: Implement GenAI-specific MLOps, including CI/CD pipelines (Git, Azure DevOps) Leadership: Guide cross-functional teams, mentor junior engineers, and drive project execution with strategic vision and ownership. Helicopters, strategic Thinking: Develop innovative GenAI strategies to address business challenges, leveraging data insights to align solutions with organizational goals. Self-Driven Execution: Independently lead projects to completion with minimal supervision, proactively resolving challenges and seeking collaboration when needed. Continuous Learning: Stay ahead of GenAI, analytics, and visualization advancements, self-learning new techniques to enhance project outcomes. Required Skills & Experience : 8-12 years in AI/ML development, with at least 4 years focused on Generative AI and AI agent frameworks. Education: BTech/BE in Computer Science, Engineering, or equivalent (Masters or PhD in AI/ML is a plus). Programming: Expert-level Python proficiency, with deep expertise in GenAI libraries (e.g., LangChain, Hugging Face Transformers, PyTorch, Open AI SDK) and data analytics libraries (e.g., Pandas, NumPy), sk-learn. Mac Data Analytics: Strong experience in data preprocessing, statistical analysis, and model evaluation to support GenAI development and business insights. Data Visualization: Proficiency in visualization tools (e.g., Matplotlib, Seaborn, Plotly, Power BI, or Tableau) to create dashboards and reports for stakeholders. Azure Cloud Expertise: Strong experience with Azure Cloud services (e.g., Azure Function App, Azure ML, serverless) for model training and deployment. GenAI Methodologies : Deep expertise in LLMs, AI agent frameworks, prompt engineering, and RAG for internal workflow automation. Deployment : Proficiency in Docker, Kubernetes, and CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for production-grade GenAI systems. LLMOps: Expertise in GenAI MLOps, including experiment tracking (e.g., Weights & Biases), automated evaluation metrics (e.g., BLEU, ROUGE), and monitoring. Communication: Exceptional verbal and written skills to articulate complex GenAI concepts, analytics, and visualizations to technical and non-technical stakeholders. Strategic Thinking: Ability to align AI solutions with business objectives, using data-driven insights to anticipate challenges and propose long-term strategies. Problem-Solving : Strong analytical skills with a proactive, self-starter mindset to independently resolve complex issues. Collaboration: Collaborative mindset to work effectively across departments and engage colleagues for solutions when needed. Preferred Skills Experience deploying GenAI models in production environments, preferably on Azure Familiarity with multi-agent systems, reinforcement learning, or distributed training (e.g., DeepSpeek). Knowledge of DevOps practices, including Git, CI/CD, and infrastructure-as-code. Advanced data analytics techniques (e.g., time-series analysis, A/B testing) for GenAI applications. Experience with interactive visualization frameworks (e.g., Dash, Streamlit) for real-time dashboards. Contributions to GenAI or data analytics open-source projects or publications in NLP, generative modeling, or data science

- PHP (Laravel/Symfony), Node.js, TypeScript, and React - database design and optimization (MySQL, MongoDB) - AWS or Azure cloud services and infrastructure - Terraform, CloudFormation - containerization (Docker) and Kubernetes orchestration

As an AI/ML Consultant, you will be responsible for designing and overseeing the architecture of AI and machine learning solutions. You will work closely with data scientists, engineers, and business stakeholders to ensure that our AI/ML initiatives are scalable, robust, and aligned with business objectives. Your expertise in machine learning, deep learning, natural language processing (NLP), and generative AI will be crucial in guiding the development and deployment of advanced AI solutions. Responsibilities: Design and architect end-to-end AI/ML solutions that meet business requirements and technical specifications. Develop and implement scalable machine learning and deep learning models, ensuring they integrate seamlessly into existing systems. Create architectures for NLP applications, including text processing, sentiment analysis, named entity recognition, and language modelling. Leverage generative AI and large language models (LLMs) to develop innovative applications. Collaborate with data engineers to design data pipelines and ensure data quality and accessibility. Provide technical leadership and guidance to data scientists and engineers throughout the development lifecycle. Evaluate and select appropriate AI/ML tools, frameworks, and technologies to meet project needs. Ensure best practices in AI/ML model development, including versioning, testing, and validation. Stay updated with the latest advancements in AI/ML technologies and incorporate them into architectural designs. Communicate complex AI/ML concepts and solutions effectively to non-technical stakeholders. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Proven experience (8+ years) in designing and implementing AI/ML solutions, with a strong focus on machine learning, deep learning, NLP, and generative AI. Extensive experience with machine learning algorithms, model development, and deployment. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and Keras. Strong expertise in NLP techniques and tools, including experience with LLMs like Gemini, GPT, BERT, etc. Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services. Knowledge of big data technologies and tools such as Hadoop, Spark, and Kafka. Proficiency in programming languages such as Python, R, and Java. Excellent problem-solving skills and the ability to design robust, scalable AI/ML architectures. Strong communication skills, with the ability to present technical concepts to both technical and non-technical audiences. Experience in leading and mentoring technical teams. Preferred Qualifications: Experience with MLOps practices and tools for continuous integration and deployment of machine learning models. Familiarity with data visualization tools such as Looker, Tableau, Power BI, or similar.

Fast API, Azure UI Search API (React) Cosmos DB (API for MongoDB), Data Factory Data Bricks Proficiency in Python and R Azure Cloud Basics (Azure DevOps) Gitlab End-to-end AI solution delivery AI integration and deployment

Job Description: As a Full Stack Developer ( .NETCore/MVC ), your primary responsibility will be designing, developing, and maintaining software applications throughout the entire software development life cycle. You will work closely with our team of developers, designers, and project managers to deliver scalable, high-performance, and cutting-edge solutions. Responsibilities: 1. Create and maintain web-based applications using the latest .NET technologies, including ASP.NET Core, C#, MVC, and Web API. 2. Collaborate with the team to define software requirements and technical designs. 3. Write clean, efficient, and thoroughly documented code, adhering to industry best practices and coding standards. 4. Implement front-end interfaces using HTML, CSS, and JavaScript frameworks such as Angular, React, or Vue.js. 5. Design and manage relational databases (SQL Server, MySQL, or similar) and optimize queries for optimal performance. 6. Integrate third-party APIs and services to enhance application functionality. 7. Conduct comprehensive testing, debugging, and troubleshooting to ensure software quality and reliability. 8. Participate in code reviews and offer constructive feedback to enhance code quality and maintainability. 9. Keep abreast of the latest trends and advancements in software development, .NET technologies, and related frameworks. 10. Collaborate with cross-functional teams to identify and address technical issues and improve system performance. 11. Assist in deploying applications to production environments and monitor their performance. 12. Contribute to continuous improvement initiatives within the development team. Requirements: 1. Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). 2. Proven work experience of 5-12 Yrs as a Full Stack Developer, specifically with expertise in .NET technologies. 3. Strong proficiency in C#, ASP.NET Core, MVC, Web API, and related frameworks. 4. Knowledge of Cloud Servies/AIML 5. Experience in front-end development using HTML, CSS, JavaScript, and modern JavaScript libraries or frameworks (e.g., Angular, React, Vue.js). 6. Solid understanding of object-oriented programming principles and design patterns. 7. Knowledge of relational databases and SQL, with the ability to write optimized queries. 8. Familiarity with version control systems (e.g., Git) and agile development methodologies. 9. Experience working with cloud platforms (Azure, AWS, or Google Cloud) is advantageous. 10. Excellent problem-solving skills and meticulous attention to detail. 11. Effective communication skills and the ability to work collaboratively in a team environment. 12. Strong analytical and critical-thinking skills to design and develop efficient solutions. Perks and Benefits: Innovative Environment: Be part of a team thats at the forefront end of cloud technology. Career Growth: Opportunities for professional development and career advancement. Collaborative Culture: Work with a supportive team in a collaborative environment. 5 Day's working, Mon-Fri.

We are seeking a driven and dynamic Business Development Executive with hands-on experience in cloud hosting solutions. This role involves identifying and closing business opportunities, handling end-to-end sales cycles, and representing the company.

Job Title: Lead Data Engineer Location: Gurgaon/Pune/Hyderabad/Bengaluru/Chennai Work Mode: Hybrid (2-3 days office in a week) Job Description: 6+ years of hands-on experience in data processing focused projects Proficiency with Java, Python, or Scala, and SQL Knowledge of Apache Spark Experience with one of the major cloud providers AWS, Azure or GCP Hands-on experience with selected data processing technologies, such as Hadoop, MongoDB, Cassandra, Kafka, and Elasticsearch, as well as Python libraries (Pandas, NumPy, etc.) and data processing tools from cloud providers (EMR, Glue, Data Factory, BigTable, etc.) Relevant experience with version control systems and code review processes Knowledge of Agile methodologies Basic knowledge of Linux and Bash scripting Nice to have Hands-on experience with Databricks and Delta-Lake Ability to build Apache Airflow pipelines Experience with the Snowflake platform

Job Title: Sr. Data Engineer Location: Gurgaon/Pune/Hyderabad/Bengaluru/Chennai Work Mode: Hybrid (2-3 days office in a week) Job Description: 3+ years of hands-on experience in data processing focused projects Proficiency with Java, Python, or Scala, and SQL Knowledge of Apache Spark Experience with one of the major cloud providers AWS, Azure or GCP Hands-on experience with selected data processing technologies, such as Hadoop, MongoDB, Cassandra, Kafka, and Elasticsearch, as well as Python libraries (Pandas, NumPy, etc.) and data processing tools from cloud providers (EMR, Glue, Data Factory, BigTable, etc.) Relevant experience with version control systems and code review processes Knowledge of Agile methodologies Basic knowledge of Linux and Bash scripting Nice to have Hands-on experience with Databricks and Delta-Lake Ability to build Apache Airflow pipelines Experience with the Snowflake platform

Hi, Greetings from Eximius Tech Innovations Pvt Ltd We are actively looking for who has 5+ years of experience as a Mulesoft Developer. Please find the below Job Description and required skills. Role & responsibilities: Design,develop and deploy integrations using mulesoft Work with cross-functional teams to identify integration requirements and develop solutions. Develop and maintain APIs, microservices and data integrations. Collaborate with QA teams to high-quality deliverables. Trouble-shoot and resolve integration issues. Stay up to date with industry trends and emerging technologies. Preferred candidate profile 5+ years of experience with mulesoft development Experience with API design, development and deployment. Strong programming skills Java,Python or similar languages. Experience with agile development methodologies. Excellent problem solving and communication skills. Experience with cloud-based integrations (AWS, Azure) Knowledge of Devops practices and tools (jenkins,docker) Experience with Data transformation and mapping (json,xml) Good to have salesforce certified integration architect certification. If you have interest for this position, please share your resume to hrbp@eximiustech.com Thanks & Regards, HR Department Eximius Tech Innovations

Looking for immediate to 15 days joiners and candidates should be currently located in Bangalore or Chennai. Total Experience : 7+ years Interview Mode : Virtual plus Face to Face Team Management experience in must. We are looking for a skilled and experienced Lead Data Scientist with a strong background in building AI-driven applications and solutions. In this role, you will play a critical role in advancing generative AI capabilities, creating solutions that streamline processes, and optimizing data insights across the organization. The ideal candidate will be highly analytical, with a deep understanding of machine learning algorithms, advanced data processing techniques, and hands-on experience with Azure Open AI services. Role & responsibilities AI Solution Development: Lead the development and enhancement of AI tools, including generative AI models, natural language processing (NLP) applications, and predictive analytics. Machine Learning & Deep Learning: Utilize supervised and unsupervised learning methods to address complex data science challenges. Apply advanced techniques, such as deep learning and neural networks, to optimize model performance. Data Engineering & Processing: Implement and improve data collection methods to ensure robust data pipelines. Focus on building systems that can efficiently process high volumes of data. Data Visualization: Design impactful visualizations using tools such as Power BI, making data insights accessible and actionable for stakeholders. Azure Open AI Expertise: Leverage Azures suite of AI tools, including LLMs and Custom Vision, for scalable, cloud-based deployment of AI solutions. Indexing & Document Optimization: Develop optimized indexing methods and document management strategies for high-volume data handling, especially within Azure Blob storage. Prompt Engineering: Apply prompt engineering techniques to improve the efficiency and accuracy of AI models, focusing on maximizing the effectiveness of LLM-based systems. Cross-functional Collaboration: Work with various teams to identify business challenges, translate them into data science projects, and implement data-driven solutions. Mentorship: Mentor junior data scientists, fostering an environment of growth and continuous learning. Preferred candidate profile Educational Background: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field. Experience: At least 9+ years of relevant experience in data science, with a focus on AI model deployment and application development in a cloud environment, specifically Azure Open AI with at least 2 of those years in a supervisory or leadership capacity. Technical Skills: Proficient in Python and SQL for data manipulation, model building, and analysis. o Extensive experience with large language models (LLMs) and RAG architecture. Advanced skills in machine learning algorithms, deep learning, and NLP. Familiarity with Azure Blob storage and optimization techniques for high-volume document processing. Strong data visualization abilities, with proficiency in tools such as Power BI, Tableau, or similar. Problem-Solving Skills: Strong analytical and debugging skills to identify, analyze, and solve complex data challenges. • Communication Skills: Ability to communicate complex technical concepts to non technical stakeholders effectively. If interested, Kindly revert with your updated resume at kritika_gupta@persolapac.com. Thanks & Regards Kritika Gupta Lead Consultant Persolkelly CONFIDENTIAL NOTE: By submitting your resume or personal data, you acknowledge reading and agreeing to our Privacy Policy . You hereby provide voluntary consent to the collection, use, processing, and disclosure of your data by us and our affiliates, in line with the Privacy Policy . and applicable laws. If you wish to withdraw your consent or have any concerns, you may submit a request to our designated consent manager, as outlined in our Privacy Policy . We prioritize your privacy. SECURITY NOTE: We at PERSOLKELLY India or our representatives, do not ask job seekers for fees, personal banking information, or payments through unofficial channels. Official communications will only come from @persolkelly.com. Report any suspicious activity to Contactus_in@persolkelly.com . Click here to find out how you can safeguard yourself from job scams.

Roles and responsibilities - The individual will be responsible for designs, builds, and maintains scalable data solutions including data models, ETL pipelines, and real-time processing systems He/she is also responsible for mentoring junior team members and play a pivotal role in overseeing the technical aspects of data related projects. MUST HAVE Experience on working with ETL on a data warehouse or big data projects. Experience with cloud services like Azure or GCP or AWS with respect to the data related services, could be just ETL, data cleanup or BI but has potential to be groomed in a 1-2 month period. Should have energy and enthusiasm to get into new things, able to stretch. Good SQL skills and able to solve complex problems in database SQL language efficiently. Able to identify and resolve performance and scalability issues. Can work as an individual contributor. Basic understanding of reporting tools and basic visuals. Actively participate and manage design and code reviews. Help in estimation the task with assistance. Guide team members on the project, including structured problem solving, development of best practices, etc. Good communication and analytical skills. GOOD TO HAVE Understands agile project development concepts like sprint/scrum etc. Good to have exp in Python. Certifications in SQL and cloud technologies. Experience on Master data management or data governance related areas. Understands concepts like streaming data processing, data lake, and distributed data architecture.Role & responsibilities

We are hiring for a renowned bank in the US, partnered with TO THE NEW. Position Summary: Reporting to the Director, Infrastructure & IT Operations, the Sr. Cloud Engineer works with internal IT, business, and 3 rd party suppliers to architect/design and implement cutting-edge infrastructure solutions, in MS Azure/AWS cloud in a hands-on capacity. This position works as an in-house resource to define future infrastructure technology initiatives aligned with the business requirements, SaaS/Cloud First approach and leads all projects and discussions related to On-prem and Cloud infrastructure. The role also requires the ability to lead & conduct solutions discovery exercises with internal stakeholders/vendors, and excellent interpersonal and presentation skills. Responsibilities: Conduct independent analysis and assessment of ABC Banks existing Cloud footprint to identify any gaps or issues, and recommend and implement necessary changes as per Cloud best practices related to security, hardening and cost management etc. Strong understanding of Infrastructure as Code (IaC) principles and best practices is essential, including experience with coding for infrastructure provisioning, maintainin CI/CD pipelines, and using source control tools. Familiarity with DevOps methodologies and tools is a plus. Develop and refine solutions and services for Cloud Landing zones, focusing on Azure landing zones Develop, document, and maintain Azure Tenant, subscriptions strategy, and Landing Zone concepts Drive and lead On-prem to Cloud migration of existing On-prem ABC systems while minimizing the technical debt and costs during project life Create an infrastructure automation pipeline to deliver Infrastructure as Code (IaaC) and build/manage workflows to create immutable infrastructure (Golden Images) Configure IAM policies, security groups and roles as per the Azure best practices Monitor the infrastructure and develop utilization reports for fine tuning, cost management and continuous enhancements and improvements Provide complete operational and administrative support including cost and billing management for the Cloud platforms Participate in Disaster Recovery exercise, review lessons learned and make appropriate changes to the environment Produce and maintain all required artifacts, documentation, and architectural design diagrams Make recommendations to improve process efficiency and effectiveness; lead cost saving initiatives, define/uphold architectural design standards and configurations to ensure consistency, maintainability, and flexibility with respect to overall system, technical and product roadmaps Keeps up to date with emerging cloud technology open source and cloud vendors such as Azure to build scalable, highly available, and fault-tolerant systems Available to support after hours deployments, production issues/outages and emergency situations when required Requirements - Any Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics from a reputable University, or equivalent industry experience Azure Architect certification is preferred Proficient with presentation and drawing tools such as PowerPoint and Visio Proficient knowledge of various Cloud services, Micro Services design, and technology operations Strong understanding of TCP/IP networking as well as Cloud Load Balancers, Route53/DNS, Security Groups, VPCs, VPN/API Gateways, Elastic IPs, Subnets, Route tables, RDS, NAT configuration and security best practices for cloud Knowledge/Expertise to allow connectivity from other systems (Informatica-SaaS, Tableau online (SaaS), Salesforce (SaaS), on-prem databases/filesystems) to resources within ABC AWS environment (Azure BLOB, S3, Redshift, etc.) Experienced with Serverless technologies such as Azure Functions Experience with DevOps & CI/CD pipeline tools and infrastructure Blue/Green deployment automation streamlining AMI maintenance and management Previous working experience with a solution provider in a professional services capacity Preferred Minimum 10 years industry experience with 4-5 years of Cloud experience

Role & responsibilities This role requires close partnership and collaboration with Software Development Teams and HVAC Subject Matter Experts. Essential Job Duties centre around creation and execution of test scripts as well as assisting in creation and execution of quality metrics. Required Qualifications: Bachelors degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education 2 to 4 years of Information Technology Testing experience At least 2 years working in an Agile setting, preferably within the SAFe framework Experience with test automation including best practices to utilize and keep tests current Success in supporting and improving code releases including organizing and tagging work items to improve testing accuracy and, ultimately, code quality Demonstrable experience in creating and revising test plans Demonstrable experience in gathering and reporting on quality metrics Mastery of SDLC and related concepts for releasing software Experience in Requirements Planning, ideally in a PI Event setting Experience with 8D or other Root Cause Analysis processes Preferred Qualifications: Experience working on SAFe Agile Teams Planning and Co-ordination skills Good Communication and Analytical skills

Qualifications Required: 8+ years of relevant industry experience leading the design, development, and deployment of machine learning models Experience being the technical lead for multiple project teams simultaneously Expert understanding of the state of the art of two or more fields in artificial intelligence; NLP and generative AI, probabilistic graphical models, time-series analysis, weak supervised learning, etc Understanding of LLMs and prompt engineering Previous experience mentoring, training, and developing junior members of the team; experience in employee performance reviews Expert understanding of Python and other common languages Deep understanding of machine learning model development life cycles Extensive experience using common machine learning and deep learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain Extensive experience with at least one cloud-based ecosystem (Azure, GCP, AWS) Experience in an Agile working environment and at least one related project management tool (Azure DevOps, Jira, etc.) Demonstrated ability to write high-quality, production-ready code (readable, well- tested, well-documented, with well-designed APIs) Demonstrated ability to develop novel machine learning methods that go beyond putting together existing open-source code, and to apply problem-solving skills to complex issues Solid understanding of Docker, Jenkins, Kubernetes, and other DevOps tools Excellent written and verbal communication skills Ability to travel as needed

Responsibilities: * Develop AI solutions using Python, NLP & Deep Learning on Azure Cloud * Optimize ML models for production environments * Collaborate with cross-functional teams on data analysis & model deployment

Exp - 6 - 9 Years Level - Assistant Manager Skill - ..Net with Azure(Only Azure Services - No DevOps profiles) Location - Hyderabad/Bangalore Hybrid Mode (2 days WFO in a week) Work timings - 9am-4pm, 7pm- 9pm Key Qualifications: A bachelors degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Strong software engineering foundation with the understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices, etc. 5+ years proven experience with most of the following: Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL. 5+ years of experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. Strong preference will be given to candidates with experience in AI/ML and GenAI. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

Company Description Multiverse Solutions Private Limited is a global, independent, end-to-end IT Services Company with a presence in India, UAE, and North America. The company focuses on guiding clients on their digital transformation journeys and helping them accelerate their client-facing digital services. Multiverse Solutions harnesses the power of innovation to thrive on change, offering services in cloud, infrastructure, applications, analytics, and more. Role Description This is a full-time on-site role for an Enterprise Sales Manager at Multiverse Solutions Private Limited. The Enterprise Sales Manager will be responsible for sales presentations, account management, lead generation, sales operations, and overall sales activities to drive revenue growth and client acquisition. Qualifications Cloud sales provides expertise and leadership regarding Cloud Architecture for both infrastructure and applications in our latest generation private cloud, CLOUD, Microsoft Azure, Google Cloud and AWS. Sample responsibilities for this position include: 1.Forge strong working relationships with Partners. 2.Collaborate with channel partners executive, sales, and technical teams to satisfy partner technology growth objectives 3.Foster and develop increased awareness of Cloud services within partners, professional and personal networking groups 4.Develops and executes successful targeted territory development plans to help achieve or exceed growth, revenue, and margin targets. 5.Demonstrate the ability to understand, provide face to face (f2f) demo capability, sell and negotiate cloud Infrastructure as a Service (IaaS) and Hybrid Cloud related solutions 6.Develops and manages all phases of the business development cycle including managing proposal negotiations, the statement-of-work, and completion of all contract details 7.Regarded as a thought leader, staying current with new trends and developments within this area of expertise. Required Skills for this position include: 1.4+ years of relevant experience in selling public cloud solutions. 2.Proven ability to analyze sales data, predict market trends, customer needs, and identify new opportunities for cloud solutions. 3.Fast moving start-up with use case-driven experience. 4.Ability to operate independently in an entrepreneurial environment. 5.Practical understanding of the usage and value of the following systems and architectures: 6.Amazon AWS, Microsoft Azure and/or Google Cloud 7.Ability to travel within the region. Willingness to travel as needed to meet clients and attend industry events.

Overview Overview Annalect is currently seeking a Senior Data Engineer to join our Technology team. In this role you will build Annalect products which sit atop cloud-based data infrastructure. We are looking for people who have a shared passion for technology, design & development, data, and fusing these disciplines together to build cool things. In this role, you will work on one or more software and data products in the Annalect Engineering Team. You will participate in technical architecture, design and development of software products as well as research and evaluation of new technical solutions Responsibilities Designing, building, testing, and deploying data transfers across various cloud environments (Azure, GCP, AWS, Snowflake, etc). Developing data pipelines, monitoring, maintaining, and tuning. Write at-scale data transformations in SQL and Python. Perform code reviews and provide leadership and guidance to junior developers. Qualifications Curiosity in learning the business requirements that are driving the engineering requirements. Interest in new technologies and eagerness to bring those technologies and out of the box ideas to the team. 3+ years of SQL experience. 3+ years of professional Python experience. 3+ years of professional Linux experience. Preferred familiarity with Snowflake, AWS, GCP, Azure cloud environments. Intellectual curiosity and drive; self-starters will thrive in this position. Passion for Technology: Excitement for new technology, bleeding edge applications, and a positive attitude towards solving real world challenges. Additional Skills BS BS, MS or PhD in Computer Science, Engineering, or equivalent real-world experience. Experience with big data and/or infrastructure. Bonus for having experience in setting up Petabytes of data so they can be easily accessed. Understanding of data organization, ie partitioning, clustering, file sizes, file formats. Experience working with classical relational databases (Postgres, Mysql, MSSQL). Experience with Hadoop, Hive, Spark, Redshift, or other data processing tools (Lots of time will be spent building and optimizing transformations) Proven ability to independently execute projects from concept to implementation to launch and to maintain a live product. Perks of working at Annalect We have an incredibly fun, collaborative, and friendly environment, and often host social and learning activities such as game night, speaker series, and so much more! Halloween is a special day on our calendar since it is our Founding Day – we go all out with decorations, costumes, and prizes! Generous vacation policy. Paid time off (PTO) includes vacation days, personal days, and a Summer Friday program. Extended time off around the holiday season. Our office is closed between Xmas and New Year to encourage our hardworking employees to rest, recharge and celebrate the season with family and friends. As part of Omnicom, we have the backing and resources of a global billion-dollar company, but also have the flexibility and pace of a “startup” - we move fast, break things, and innovate. Work with modern stack and environment to keep on learning and improving helping to experiment and shape latest technologies

JD Primary skills: • Solid experience in building ML Models. • Proficient in SQL, Python, PySpark, Spark ML language. • Good understanding of cloud platforms such as AWS (preferred), Azure or GCP. • Proficient in source code controls using Github. Secondary skills: • Experience using any Auto ML products like DataRobot / H2O AI. • Provide inputs to build Artificial Intelligence (AI) roadmap for marketing based on TE&O architecture and capability delivery timelines. • Accountable for identifying, embedding, promoting, and ensuring continuous improvement within the use of new data and advanced analytics across the teams

We are looking for immediate joiner + who can join us within 30 Days for below position Senior Snowflake DBT Developer Primary Role We are seeking a skilled Senior Snowflake DBT Developer to join our data engineering team. The ideal candidate will have solid experience developing ETL/ELT pipelines on snowflake + DBT, strong SQL skills, and hands-on expertise working with Snowflake and DBT on the Azure cloud platform. This role involves designing, building, and maintaining scalable data transformation workflows and data models to support analytics and business intelligence. Key Responsibilities: Design, develop, and maintain data transformation pipelines using DBT to build modular, reusable, and scalable data models on Snowflake. Develop and optimize SQL queries and procedures for data loading, transformation, and analysis in Snowflake. Load and manage data efficiently in Snowflake from various sources, ensuring data quality and integrity. Analyze and profile data using SQL to support business requirements and troubleshooting. Collaborate with data engineers, analysts, and business stakeholders to understand data needs and translate them into technical solutions. Implement best practices for DBT project structure, version control (Git), testing, and documentation. Work on Azure cloud platform, leveraging its integration capabilities with Snowflake. Participate in code reviews, unit testing, and deployment processes to ensure high-quality deliverables. Troubleshoot and optimize data pipelines for performance and cost-effectiveness. Desired Skills Qualification Bachelors degree in science, Engineering and related disciplines. Work Experience 5-7 years of experience in data engineering or development roles, with at least 2 years of hands-on experience in Snowflake and 2 years with DBT. Experience developing ETL/ELT pipelines and working with data warehouse concepts. Strong proficiency in SQL, including complex query writing, data analysis, and performance tuning. Proven experience loading and transforming data in Snowflake. Hands-on experience working on Azure cloud platform and integrating Snowflake with Azure services. Familiarity with DBT Core features such as models, macros, tests, hooks, and modular project structure. Good understanding of data modeling concepts and dimensional modeling (star/snowflake schemas). Experience with version control systems like Git and CI/CD workflows is a plus. Strong analytical, problem-solving, and communication skills.

Position Title : Service desk Engineer REPORTING TO: Service Desk Manager Environment Testing Europe WORKING LOCATION: Bangalore - India OVERALL OBJECTIVES: As part of the IT Infrastructure Support Team for Environment Testing Europe. You will join a growing international team to work on maintenance of newly deployed segregated IT User Zones and Application Availability Groups servers, end user device management and Cloud infrastructures. Your role will be to support daily operations tasks and to support project workload including design & implementation of new infrastructure. You will collaborate with number of different IT Support and Delivery Teams on daily basis. It will require Microsoft Server & Client OS, Azure, SCCM and Intune engineering skills. Open mind and ability to cooperate with multiple individuals in a multicultural environment is essential. SPECIFIC ASSIGNMENTS : As part of the Environment Testing Europe Team you will act as primary contact to support infrastructure regarding: Workplace related queries and issues. M365 problems (Outlook, Office, Teams, OneDrive, SharePoint, Windows). Identity and Access Management queries. Infrastructure related problems for service provided to Environment Testing Europe. Applications related problems requiring triage to respective application support group. Main activities, but not limited to, are: Register, classify, route, follow-up and resolve request according to internal processes. As 1st Level Support Provides technical support to end-users by identifying problems, researching and answering questions, troubleshooting problems or forward them to the 2nd level support Own the incoming requests and manages escalations. Support in creation operational documents/instructions for Service Desk team. Identify and document Workarounds. Support maintenance and accuracy of Knowledge articles available for end-users via service portal. Identify candidates for Service Catalogue items based on commonly requested items by end users. REQUIRED SKILLS : An ideal candidate should have: 2+ years of experience in Service Desk agent function. Basic understanding of Azure Cloud and M365. Excellent communication and interpersonal skills. Very good command of English written and spoken. Can do approach and capability to work in dynamically changing environment. Below skills will be an advantage: Service Now, BMC Helix knowledge. ITIL Foundation certificate. Azure Cloud knowledge. File name: Page 1 of 2

We're hiring a full stack developer with 5+ years of experience to build and maintain web apps. Must be skilled in React, Node.js, MongoDB, and Python. Strong problem-solving, UI/UX, and documentation skills required. Mumbai/Navi-Mumbai/Thane only.