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Database Administrator (DBA)

EDUCATION,EXPERIENCE REQUIRED:

BE/MCA/ B.TECH / BCA

Exp -  Min 4 yrs  

CTC – Upto 12 LPA

Job Description:

1. Installing, Configuring, Managing, Monitoring and troubleshooting SQL Server 2005/2008/2008R2/2012/2014/2016
2. Database administration activities like Installation, Configuration, Backup & Recovery, and Database Security.
3. Providing availability solutions like Mirroring, Log Shipping, Replication and Always on.
4. Database Up gradation and Migration
5. Ensure performance monitoring, backup, restore, and security recovery solutions.
6. Troubleshooting expertise in SQL server issues under production environment.
7. Handling the entire production servers with skills and understanding client's requirement Experience in Database administration activities for DB Security (creating users, roles, and assigning permission to them).
8. Automating process by creating jobs, and error reporting using Alerts by SQL Server Agent.
9. Backup and Recovery strategy, Database Refreshes.
10. Creation and maintenance of Databases, creating Roles and managing user permissions.
11. Setting up, trouble shooting and maintenance of production server databases.
12. Providing Production support for Database and Applications.
13. SQL Server store procedure, functions, View, Index and trigger development.

 

Job requirement:

1. Deep understanding of OS and its management including kernel space management
2. Experience with Linux servers in virtualized environments
3. Experience installing, configuring, and maintaining services such as Bind, Apache, MySQL, Nginx, etc.
4. Experience in Monitoring tools like Nagios.
5. Familiarity with load balancing, firewalls, etc.
6. Proficient with network tools such as iptables, Linux IPVS, HA Proxy, etc.
7. Experience with virtualization technologies, such as Xen KVM and VMware.
8. Ability to build and monitor services on production servers

Associate/Sr. Associate

Roles & Responsibilities:

• Procurement contracts review and remediation for any changes due to GDPR, Schrems II, LIBOR etc.

• Contract negotiation support and outreach post remediation of impacted contracts

• Conduct contract risk review and gap analysis and identify potential impact

• Support the creation of commercial contracting like IT, ITES, IP, Data privacy, Hardware and Software purchase agreements, HR services, NDAs, SOW Review best practices and related materials (e.g. standard operating procedures, Playbooks and internal guidance);

• Relevant experience and expertise to handle routine queries associated with Framework Agreements, Outsourcing Agreements, Work Orders, Land Collaterals, Facility Letters, Personal Life Events, General Collaterals, etc for Software license/maintenance/support, Hardware purchase/support, Telecommunications, Technology services, Data centers, Cloud computing/SaaS, HR services, Commercial/customer propositions, Professional services (including consultancy), Utility services etc.

• Assist in identify contractual GAPS, administrative, Risk and Compliance Management of a contract once it’s signed off;

• Assist in implementation of these best practices and related materials (e.g. via training, mentoring, guidance), with the goal to improve commercial contracting standards both within the team and across the business over time;

• Providing hands-on support to the team with SOW reviews by providing quality control, monitoring adherence to corporate contracting policies, driving best practices, and with communications on reviews to business teams (including business team escalations);

• Advising on when issues need to be referred or escalated to colleagues in relevant teams such as Legal and providing support on these;

• Undertaking reviews directly for high profile, urgent and/or complex contract / SOWs (where applicable);

• Act as a facilitator between various support teams and business teams to resolve contract related queries;

• Enabling application of Contract Lifecycle Management tools and processes to reviewed/created contracts including Metrics, Allocation, Risk Tracking and Traceability;

• To align with the relevant teams to ensure compliance with other practices and processes including extracting key contractual obligations in the contract as per the defined SOPs;

• Ensure negotiated documents are streamlined to provide appropriate credit and legal protection to clients;

• Involve in legal research projects from time to time;

• Assist the wider group within the firm in standardizing documentation process for various regions thereby establishing best practices;

• Addressing queries (raised by internal stakeholders);

• Analyzing and assessing business processes, identifying issues and proposing pragmatic solutions while possessing a strong legal and business judgement;

• Possess a keen eye for detail and be able to capture critical data to be recorded into various systems.

Requirements:

• Educational Qualification: LL.B

• Experience: Essential 2 to 6 years preferably in IT / ITES / KPO / Banks/Inhouse counsel/ corporate counsel working on contracts

• Sound legal knowledge of law and good understanding of commercial and legal aspects of contracts.

• Should be able to draft, negotiate and conduct gap and risk analysis of customer as well as supplier contracts.

• Competence in broad range of banking and business laws

• Should be a great team player with people skills who can effectively and efficiently collaborate and build relationship with business clients at all level throughout

• Excellent communication and interpersonal abilities.

• Proficient computer skills

Job Summary

We are looking for a Software Engineer with 3–5 years of experience in Python development, browser automation, Azure cloud technologies, and API development. The ideal candidate should have hands-on experience in building automation solutions, cloud-native applications, and backend services using Python while collaborating with cross-functional teams to deliver scalable and reliable enterprise solutions.

Key Responsibilities

* Design, develop, test, and maintain Python-based applications and automation solutions.

* Develop browser automation scripts for enterprise web applications using Python.

* Create robust and dynamic element selectors to handle changing web interfaces.

* Implement exception handling, retry mechanisms, logging, and monitoring in automation solutions.

* Develop solutions to handle authentication workflows and CAPTCHA scenarios where permitted.

* Build and maintain RESTful APIs using FastAPI or similar Python frameworks.

* Develop serverless applications using Azure Functions and integrate with Azure services.

* Design and implement integrations using Azure Logic Apps, Service Bus, Storage Accounts, and Key Vault.

* Deploy and manage applications using Azure Container Registry (ACR), Azure Container Apps, and Azure Container Instances (ACI).

* Configure and manage KEDA for event-driven application scaling.

* Develop and maintain frontend applications using React.js, Node.js, or similar modern JavaScript frameworks.

* Design and optimize database solutions using SQL Server, PostgreSQL, or Azure Cosmos DB.

* Troubleshoot production issues and implement permanent fixes.

* Participate in code reviews, testing, deployment, and release activities.

* Follow coding standards, security best practices, and application performance guidelines.

Required Skills

Python Development

* Strong experience in Python programming.

* Experience developing scalable backend applications and automation solutions.

* Experience with asynchronous programming and API integrations.

Browser Automation

* Hands-on experience in browser automation using Python libraries such as Playwright or Selenium.

* Experience creating dynamic selectors and handling dynamic web elements.

* Strong understanding of synchronization techniques, waits, retries, and exception handling.

* Experience implementing logging, monitoring, and debugging for automation solutions.

* Familiarity with CAPTCHA handling approaches and authentication workflows.

Azure Cloud

* Hands-on experience with Azure Functions.

* Experience with Azure Logic Apps.

* Experience using Azure Storage Accounts.

* Experience with Azure Service Bus.

* Experience with Azure Key Vault.

* Understanding of cloud-native application design and Azure security best practices.

Containerization & Deployment

* Experience with Azure Container Registry (ACR).

* Experience deploying applications to Azure Container Apps.

* Experience with Azure Container Instances (ACI).

* Experience configuring and managing KEDA for event-driven autoscaling.

* Familiarity with container-based deployments and application lifecycle management.

### API Development

* Experience building REST APIs using FastAPI or similar Python frameworks.

* Strong understanding of REST principles, JSON, authentication, and API integrations.

Databases

* Experience with SQL Server and/or PostgreSQL.

* Experience with Azure Cosmos DB.

* Ability to write efficient SQL queries and optimize database performance.

Frontend Development

* Experience with React.js, Node.js, or similar frontend technologies.

* Understanding of modern web application architecture and API consumption.

Additional Skills

* Experience with Git and version control.

* Strong debugging and analytical skills.

* Good communication and teamwork skills.

Preferred Skills

* Experience with OCR and document processing solutions.

* Experience with Azure AI or AI-based services.

* Experience with event-driven architectures.

* Experience working in Agile/Scrum environments.

* Experience with automation platforms such as UiPath is an added advantage.

Education

Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.

AuxoAI is seeking a Senior Applied Scientist to design and deploy structured knowledge systems that enable reliable, schema-grounded AI and agent reasoning.

This role sits at the intersection of large language models, knowledge graphs, semantic architectures, and hybrid retrieval systems. The ideal candidate will build systems that transform unstructured data into structured knowledge representations, enforce semantic constraints, and enable hybrid symbolic–neural reasoning in production environments.

You will play a key role in designing scalable semantic infrastructures that support advanced AI use cases such as GraphRAG pipelines, structured extraction, and agent reasoning workflows.

You will work on problems where existing architectures may not be sufficient and will experiment with new approaches that combine machine learning, knowledge graphs, semantic constraints, and classical AI techniques to build reliable, production-grade systems.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities:

• Design schema-guided information extraction systems using zero-shot and few-shot structured prompting, constrained decoding approaches such as JSON schema enforcement or grammar-based decoding, and function-calling or tool-driven extraction techniques.
• Develop recursive or multi-stage extraction pipelines capable of handling nested entities, hierarchical structures, and cross-document relationships.
• Build ontology-driven systems using frameworks such as LinkML, OWL, SHACL, or similar schema modeling tools, and implement knowledge representations using RDF triples or labeled property graphs.
• Design and optimize entity resolution algorithms using techniques such as blocking strategies, embedding similarity, and rule-based matching.
• Develop ontology alignment techniques and graph embedding models such as Node2Vec or TransE-style approaches where appropriate.
• Design hybrid retrieval architectures combining dense vector retrieval, sparse retrieval techniques, and graph traversal algorithms such as BFS, DFS, path ranking, and neighborhood expansion.
• Build validation systems that enforce schema conformance, detect semantic inconsistencies, and reduce hallucinated or invalid structured outputs.
• Integrate structured knowledge systems into GraphRAG pipelines, agent planning frameworks, and tool-selection workflows.
• Deliver production-grade semantic systems with clear targets for latency, scalability, reliability, and data integrity.

Requirements

• 5+ years of experience building production AI or machine learning systems.
• Strong experience designing and implementing knowledge graphs or ontology-driven architectures.
• Hands-on experience implementing structured extraction techniques, including grammar-constrained decoding, JSON schema enforcement, or AST-style parsing approaches.
• Experience building entity resolution systems beyond simple embedding similarity methods.
• Experience working with graph query languages such as SPARQL or Cypher and optimizing graph query performance.
• Familiarity with RDF, OWL, or property graph data models and semantic data architectures.
• Strong Python engineering skills, with emphasis on data validation, schema integrity, and system reliability.
• Experience designing hybrid symbolic and neural AI systems.

Nice to Have:

• Experience implementing graph algorithms such as PageRank, community detection, or shortest-path algorithms for reasoning chains.
• Experience building graph-enhanced retrieval systems such as GraphRAG.
• Experience designing compositional semantic extraction pipelines.
• Experience implementing reasoning engines or rule-based inference systems.
• Experience benchmarking and evaluating structural extraction accuracy and consistency.

Company Description

Role Description

Qualifications

• Proficiency in Sales, Business Development, and Account Management
• Strong Communication Skills, Negotiation, and Relationship Management
• Strategic Planning, Market Research, and Sales Forecasting
• Experience in Healthcare, SaaS, or Technology Sales is a plus
• Bachelor's degree in Business, Marketing, or a related field
• Proven track record of meeting or exceeding sales targets
• Self-motivated, results-oriented, and client-focused

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

Srijan Technologies is currently hiring for the Assistant Manager / Manager – Financial Reporting with WFH option. (Delhi Location).


Location: Delhi (Currently WFH Due to Covid-19)
Immediate Joiners or candidates with a notice period within 30 days are preferred.

• Planning of purchase requirements as per manufacturing schedule/purchase indent
• Controlling budgets
• Managing and developing vendors
• Managing inventory
• Managing ongoing supplier relationships
• Preparing reports on purchases, including cost analyses
• Negotiating with supplier for economical pricing for best quality material

Desired Candidate Profile

• 10 years experience in Purchase
• Prior experience in an FMCG/Personal care company preferred
• Experience in purchasing ingredients, extract powders, solvents, and consumable items