- Minimum 4 years of experience in relevant field. - Hands on experience in Databricks, SQL, Azure Data Factory, Azure DevOps - Strong expertise in Microsoft Azure cloud platform services (Azure Data Factory, Azure Data Bricks, Azure SQL Database, Azure Data Lake Storage, Azure Synapse Analytics). - Proficient in CI-CD pipelines in Azure DevOps for automatic deployments - Good in Performance optimization techniques like using temp tables, CTE, indexing, merge statements, joins. - Familiarity in Advanced SQL and programming skills (e.g., Python, Pyspark). - Familiarity with data warehousing and data modelling concepts. - Good in Data management and deployment processes using Azure Data factory and Databricks, Azure DevOps. - Knowledge on integrating every azure service with DevOps - Experience in designing and implementing scalable data architectures. - Proficient in ETL processes and tools. - Strong communication and collaboration skills. - Certifications in relevant Azure technologies are a plus

Over 10 years in IT, with 5+ years designing and deploying large Azure solutions. Strong knowledge of Azure services like Compute, Networking, Storage, DevOps, AKS, and Serverless Functions. Hands-on with infrastructure as code tools like Terraform, ARM, or Bicep, and DevOps practices. Experienced with microservices, Docker, and Kubernetes. Skilled in Azure AD and role-based access control for managing identity and access. Good understanding of databases like SQL, NoSQL, Cosmos DB, and tools like Databricks and Synapse. Proven ability to lead technical teams and work across different functions. Great at explaining complex cloud topics to both technical and non-technical people. Holds Azure and architecture certifications (e.g., Azure Solutions Architect, Azure DevOps Expert, TOGAF). Bachelors or Masters degree in Computer Science, IT, or related field, or equivalent experience. Location: Chennai

We are seeking a highly skilled and motivated AI/ML Engineer with 2-5 years of experience in the software industry. The ideal candidate will have a strong foundation in machine learning, deep learning, and large language models, along with hands-on expertise in modern ML tools and frameworks. Design, develop, and deploy machine learning and deep learning models to solve real-world problems. Apply expert-level proficiency in Python to build and optimize scalable AI solutions. Work extensively with large language models (LLMs) such as LLaMA, Zephyr, Mistral, and OpenAI APIs. Implement and fine-tune transformer-based models, including BERT, GPT, RoBERTa, and related architectures. Leverage ML frameworks and libraries like PyTorch, Langchain, and Spacy in model development. Build and maintain robust MLOps infrastructure to support the complete ML lifecycle. Collaborate with cross-functional teams to integrate AI/ML capabilities into production systems. Demonstrate excellent problem-solving and critical thinking abilities to tackle complex AI challenges.

Job Description : Senior Automation Test Engineer SaaS We are seeking a seasoned Senior Automation Test Engineer with 8+ years of experience in automation testing, preferably in product-based companies working on SaaS platforms. The ideal candidate will have strong technical expertise, leadership abilities, and a solid understanding of modern testing tools and practices. Responsibilities & Qualifications Lead automation testing efforts for SaaS products, ensuring high quality and performance. Proficient in tools like Selenium, Appium, Cypress, and performance tools like JMeter, LoadRunner. Strong coding skills in Java, Python, or JavaScript. Experience with CI/CD pipelines (e.g., Jenkins) and version control (e.g., Git). Deep understanding of software testing methodologies and best practices. Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Familiarity with Agile/Scrum development processes. Excellent analytical, communication, and problem-solving skills. Proven leadership and mentoring experience. Bachelors degree in Computer Science, Engineering, or related field (ref:hirist.tech) Show more Show less

Senior Machine Learning Engineer Job Description We are seeking a highly skilled and motivated AI/ML Engineer with 25 years of experience in the software industry. The ideal candidate will have a strong foundation in machine learning, deep learning, and large language models, along with hands-on expertise in modern ML tools and frameworks. Responsibilities And Qualifications Design, develop, and deploy machine learning and deep learning models to solve real-world problems. Apply expert-level proficiency in Python to build and optimize scalable AI solutions. Work extensively with large language models (LLMs) such as LLaMA, Zephyr, Mistral, and OpenAI APIs. Implement and fine-tune transformer-based models, including BERT, GPT, RoBERTa, and related architectures. Leverage ML frameworks and libraries like PyTorch, Langchain, and Spacy in model development. Build and maintain robust MLOps infrastructure to support the complete ML lifecycle. Collaborate with cross-functional teams to integrate AI/ML capabilities into production systems. Demonstrate excellent problem-solving and critical thinking abilities to tackle complex AI challenges. (ref:hirist.tech) Show more Show less

7+ years of hands-on experience in AI/ML and Big Data projects. Strong proficiency in Python , SQL , TensorFlow , PyTorch , Scikit-learn , and Spark MLlib . Proven experience designing and deploying scalable AI/ML models in cloud environments (preferably GCP ; AWS/Azure is a plus). Solid understanding of data modeling , data warehousing , and ETL in Big Data contexts. Ability to apply statistical and machine learning techniques to derive actionable business insights. Skilled in building and optimizing Big Data pipelines and integrating ML models into production. Strong communication skills with the ability to present complex findings to both technical and non-technical audiences. Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. Bachelors or Masters degree in Computer Science , Data Science , Engineering , Statistics , Mathematics , or a related quantitative field.

8 to 10 years of experience as a Java Developer or Team Lead Strong hands-on coding skills Experience with relational databases such as MS SQL, MySQL, and Oracle Skilled in Java, Spring Boot, Microservices, Hibernate (version 5 or higher), and REST APIs Location : Gurgaon Work Mode : Hybrid

Job Description Demonstrate hands-on and in-depth expertise in designing, developing, testing, implementing, and integrating Privileged and Identity Access Management (PAM/IAM) systems in complex enterprise environments. Possess strong hands-on experience with both on-premises and cloud-based PAM solutions, ensuring robust and scalable deployments. In-depth knowledge and experience with leading PAM tools such as CyberArk, Delinea, and Thycotic. Practical experience with identity governance platforms including SailPoint, Saviynt, and BeyondTrust. Proficient in authentication technologies such as Active Directory, multi-factor authentication (MFA), and standard IAM protocols. Assess and analyze stakeholder requirements to architect effective and secure PAM solutions tailored to business needs. Design and implement technical cybersecurity controls, establishing and promoting PAM best practices and enterprise security standards. Collaborate with cross-functional teams to define design specifications and implement privileged access controls and processes. Provide escalation-level support for production PAM infrastructure and ensure operational continuity. Develop and maintain comprehensive documentation including High-Level Design (HLD), Low-Level Design (LLD), implementation guides, and operational manuals. (ref:hirist.tech) Show more Show less

Job Description Over 7 years of functional experience with Oracle E-Business Suite (EBS), specifically in Release 12 (R12.2.6). Hands-on experience with Oracle Purchasing (PO) and Sub-ledger Accounting (SLA) modules, including configuration, testing, and user support. In-depth functional expertise across Oracle Financial modules including General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), Cash Management (CM), and Fixed Assets (FA). Proven knowledge and implementation experience in Project Accounting (PA) and Property Management (PM) modules. Proficient in managing intercompany transactions using the Advanced Global Intercompany System (AGIS). Skilled in gathering business requirements, performing GAP analysis, and preparing functional design documents. Experience with end-to-end implementation, post-production support, and upgrades in Oracle EBS financials. Strong collaboration with technical teams and business users to drive system enhancements and issue resolutions. Location : Gurugram Work Mode : Hybrid (ref:hirist.tech) Show more Show less

Job Description 7+ years of hands-on experience in AI/ML and Big Data projects. Strong proficiency in Python, SQL, TensorFlow, PyTorch, Scikit-learn, and Spark MLlib. Proven experience designing and deploying scalable AI/ML models in cloud environments (preferably GCP; AWS/Azure is a plus). Solid understanding of data modeling, data warehousing, and ETL in Big Data contexts. Ability to apply statistical and machine learning techniques to derive actionable business insights. Skilled in building and optimizing Big Data pipelines and integrating ML models into production. Strong communication skills with the ability to present complex findings to both technical and non-technical audiences. Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related quantitative field. Location : Gurugram (ref:hirist.tech) Show more Show less

Job Description Possess 8 to 10 years of professional experience as a Java Developer or Team Lead, demonstrating leadership and technical expertise. Proven ability to write clean, efficient, and maintainable code with strong hands-on coding skills. Extensive experience working with relational databases including MS SQL, MySQL, and Oracle. Proficient in Java programming with a solid understanding of object-oriented design principles. In-depth knowledge and practical experience with Spring Boot for building scalable applications. Skilled in developing and maintaining Microservices architectures in distributed systems. Experienced with Hibernate version 5 or higher for effective object-relational mapping. Proficient in designing and integrating RESTful APIs for seamless communication between services. Demonstrated ability to troubleshoot, optimize, and improve performance of complex systems. Strong problem-solving skills and the ability to work collaboratively in Agile development environments. (ref:hirist.tech) Show more Show less

5+ Years Strong background in SQL development combined with solid experience in AWS cloud services and Azure Data Factory (ADF) for building and managing data pipelines. Hands-on experience with high availability solutions such as Always On Availability Groups, database replication, and log shipping. Expert-level proficiency in T-SQL with hands-on experience in SQL Server 2016 or later, including query optimization and performance tuning. Strong programming skills in Python , particularly for scripting, data manipulation, and automation of data processes. Deep understanding of SQL Server backup and recovery models , with expertise in implementing disaster recovery strategies and best practices. Extensive experience with Microsoft BI tools , including SQL Server Integration Services (SSIS), Reporting Services (SSRS), and Analysis Services (SSAS). Proven ability to work in environments governed by data governance and compliance frameworks , ensuring secure and accurate data handling. Familiarity with Alteryx is an added advantage, though not mandatory.

Responsibilities Design, develop, and deploy scalable ETL workflows and data pipelines Build and monitor data workflows using AWS-native services Develop and maintain infrastructure as code using Terraform or CloudFormation Collaborate with teams to implement effective data transformations and optimize pipelines Ensure data security and compliance through proper use of AWS IAM and KMS Participate in code reviews, testing, and production support Document processes, data flows, and infrastructure : Minimum 6 years of experience in AWS ETL development Strong experience with AWS services including EC2, IAM, KMS, Lambda, Batch, Terraform/CFT, EventBridge, Managed Kafka, Kinesis, and Glue Proficient in PySpark for big data processing within AWS Glue Solid understanding of data modeling concepts Proficiency in Python for scripting and development Knowledge of SQL and NoSQL data storage techniques Competence in SQL query performance tuning, index management, and database structure Strong problem-solving, communication, and collaboration skills Job Type : Full-time (ref:hirist.tech) Show more Show less

Minimum 4 years of experience with JavaScript and Node.js. 1.5+ years of experience with Azure Logic Apps, Functions, and API Management. Build and deploy scalable cloud-native applications. Design and manage APIs and backend services on Azure. Work closely with teams to understand and implement requirements. Use CI/CD tools and Git for version control and deployment. Troubleshoot and resolve issues in Azure environments. Strong communication and problem-solving skills. Location: Pune Job Type: Full-time Show more Show less