Job description Job Summary: We are seeking a highly skilled and creative AI ML Engineer LLM and NLP with deep expertise in artificial intelligence, natural language processing, and prompt design for large language models (LLMs). This role is crucial in crafting, optimizing, and scaling interactions with advanced AI systems to improve performance, user experience, and business outcomes across various applications. --- Key Responsibilities: Design, test, and refine prompts to optimize performance of LLMs such as GPT-4, Claude, Gemini, and open-source models. Collaborate with cross-functional teams (product, design, engineering, marketing) to develop AI-driven features and tools. Conduct rigorous experimentation and benchmarking of prompts and AI outputs for accuracy, safety, and usability. Automate prompt workflows and integrate prompt chains with APIs and tool stacks. Fine-tune models or build retrieval-augmented generation (RAG) pipelines when needed. Stay current with advancements in generative AI, NLP, and prompt engineering techniques. Contribute to building internal documentation, style guides, and prompt libraries. --- Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Data Science, Linguistics, or a related field (PhD a plus). 2+ years of experience working with LLMs, AI systems, or NLP frameworks. Strong understanding of transformer models, prompt engineering, and zero/few-shot learning. Must have experience with Prompt response and design Experience using OpenAI (ChatGPT, GPT API), Anthropic, Cohere, Hugging Face, or similar platforms. Proficiency in Python and use of AI libraries (LangChain, LlamaIndex, etc.). Excellent writing skills and a sensitivity to language nuance, tone, and context. Analytical thinker with a structured approach to testing and evaluation. --- Preferred Qualifications: Familiarity with fine-tuning LLMs or using vector databases for retrieval-based prompting. Experience working on AI-driven products in SaaS, education, enterprise, or creative tools. Understanding of prompt security, safety, and mitigation strategies for bias or hallucinations. Background in UX, technical writing, or content design is a plus. --- Role: IT & Information Security - Other Industry Type: IT Services & Consulting Department: IT & Information Security Employment Type: Full Time, Permanent Role Category: IT & Information Security - Other Education UG: B.Tech/B.E. in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills Artificial IntelligenceMachine LearningMl LLM

Job description Role & responsibilities Location - Bengaluru, Hyderabad and Mangalore GitHub Actions + DevOPS Terraform / Bicep AKS Cluster and deployment Cloud Technology majorly Azure SQL server, Fabric, Data bricks etc.. Good to have Powershell Flawless Communication Job Description We are seeking an experienced Sr. Azure GitHub DevOps Engineer to join our team, supporting a global enterprise client. In this role, you will be responsible for designing and optimizing DevOps pipelines, leveraging GitHub Actions and Azure DevOps tools to streamline software delivery and infrastructure automation. This role requires expertise in GitHub Actions, Azure-native services, and modern DevOps methodologies to enable seamless collaboration and ensure scalable, secure, and efficient cloud-based solutions. Key Responsibilities GitHub Actions Development: Design, implement, and optimize CI/CD workflows using GitHub Actions to support multi-environment deployments. Leverage GitHub Actions for automated builds, tests, and deployments, ensuring integration with Azure services. Create reusable GitHub Actions templates and libraries for consistent DevOps practices. GitHub Repository Administration: Manage GitHub repositories, branching strategies, and access permissions. Implement GitHub features like Dependabot, code scanning, and security alerts to enhance code quality and security. Azure DevOps Integration: Utilize Azure Pipelines in conjunction with GitHub Actions to orchestrate complex CI/CD workflows. Configure and manage Azure services such as: Azure Kubernetes Service (AKS) for container orchestration. Azure Application Gateway and Azure Front Door for load balancing and traffic management. Azure Monitoring, Azure App Insights, and Azure KeyVault for observability, diagnostics, and secure secrets management. HELM charts and Microsoft Bicep for Infrastructure as Code. Automation & Scripting: Develop robust automation scripts using PowerShell, Bash, or Python to streamline operational tasks. Automate monitoring, deployments, and environment management workflows. Infrastructure Management: Oversee and maintain cloud environments with a focus on scalability, security, and reliability. Implement containerization strategies using Docker and orchestration via AKS. Collaboration: Partner with cross-functional teams to align DevOps practices with business objectives while maintaining compliance and security standards. Monitoring & Optimization: Deploy and maintain monitoring and logging tools to ensure system performance and uptime. Optimize pipeline execution times and infrastructure costs. Documentation & Best Practices: Document GitHub Actions workflows, CI/CD pipelines, and Azure infrastructure configurations. Advocate for best practices in version control, security, and DevOps methodologies. Qualifications Education: Bachelor's degree in Computer Science, Information Technology, or related field (preferred). Experience: 3+ years of experience in DevOps engineering with a focus on GitHub Actions and Azure DevOps tools. Proven track record of designing CI/CD workflows using GitHub Actions in production environments. Extensive experience with Azure services, including AKS, Azure Front Door, Azure Application Gateway, Azure KeyVault, Azure App Insights, and Azure Monitoring. Hands-on experience with Infrastructure as Code tools, including Microsoft Bicep and HELM charts. Technical Skills: GitHub Actions Expertise: Deep understanding of GitHub Actions, workflows, and integrations with Azure services. Scripting & Automation: Proficiency in PowerShell, Bash, and Python for creating automation scripts and custom GitHub Actions. Containerization & Orchestration: Experience with Docker and Kubernetes, including Azure Kubernetes Service (AKS). Security Best Practices: Familiarity with securing CI/CD pipelines, secrets management, and cloud environments. Monitoring & Optimization: Hands-on experience with Azure Monitoring, App Insights, and logging solutions to ensure system reliability. Soft Skills: Strong problem-solving and analytical abilit

Job description We at EMIDS, are hiring for FHIR Engineer. Please find the details below and share your interest at aarati.pardhi@emids.com Job Description : We are looking for an experienced FHIR Engineer to design, implement, and support healthcare data solutions using the HL7 FHIR standard. The ideal candidate will have deep knowledge of FHIR, healthcare data formats, and clinical system integration, along with the ability to develop scalable and secure APIs and services within a regulated environment. Key Responsibilities: FHIR API Development: Design and build RESTful APIs based on FHIR R4/R5 standards. Implement and manage FHIR resource modeling, profiles, and extensions. Develop and maintain FHIR servers and client applications using tools like HAPI FHIR or cloud-based services (e.g., Azure API for FHIR, Google Cloud Healthcare API). Integration & Data Handling: Map and transform data from legacy formats (HL7 v2/v3, CDA, X12) to FHIR. Enable interoperability between EHR systems, third-party applications, and patient-facing platforms. Support SMART on FHIR, OAuth2.0, and identity integration for secure access. Testing & Compliance: Conduct validation and conformance testing using tools like Touchstone and Inferno. Ensure compliance with healthcare standards and privacy regulations (e.g., HIPAA, USCDI, ONC guidelines). Collaboration & Documentation: Work with architects, developers, and clinical informatics teams to ensure alignment with business and clinical requirements. Document technical designs, data flows, API specifications, and versioning. Required Skills: 6+ years of experience in healthcare IT, including at least 3 years working directly with FHIR. Strong experience with FHIR R4/R5, resource creation, profiling, and implementation. Solid understanding of HL7 v2/v3, CDA, and clinical data transformation. Hands-on experience with FHIR libraries and frameworks (e.g., HAPI FHIR, Firely, Smile CDR). Familiarity with SMART on FHIR, OAuth2.0, and authentication protocols. Programming experience in Java, Python, or .NET for API and backend development. Knowledge of clinical terminologies: SNOMED CT, LOINC, ICD-10. Familiarity with cloud platforms (Azure, AWS, or GCP) and containerization tools (Docker, Kubernetes) is a plus. Preferred Qualifications: HL7 or FHIR certification (e.g., HL7 Certified FHIR Professional). Experience with EHRs (Epic, Cerner, Meditech) or Health Information Exchanges (HIEs). Experience with US Core, Da Vinci Project, or IHE profiles. Role: Back End Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills HL7FHIRUS Healthcare HIPAAEHR

Job description Python React JS Full-Stack developer 7+ Frontend: React JS REST APIs: SWAGGER / POSTMAN Relational/NOSQL Databases Containerization: OpenShift Proficiency in Python DevOps/Git/Documentation Location - -Chennai/BLR/Pune/HYD Preferred candidate profile Role: Full Stack Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills NoSQLReact.JsPython GITContainerizationOpenshiftRest APIDevops

Job description 3 +yrs of exp as Data Engineer Exp in AWS Cloud Services, EC2, S3, IAM Exp on AWS Glue, DMS, RDBMS, MPP Databases like Snowflake, Redshift Knowledge on Data Modelling, ETL Process This role will be 5 days WFO. Plz apply only if you are open to work from office read more Key Skills Skills highlighted with ‘‘ are preferred keyskills PysparkGlueRedshift AwsAWSPython AirflowSQL

Job description Key Responsibilities: 1. Model Development and Deployment: Design, develop, and deploy generative AI models using cutting-edge techniques and frameworks. Utilize tools like LangChain, LangGraph, LangSmith to enhance model functionality and performance. Build models on complex RAG Architecture & should be able to incorporate AI security by design. 2. Agentic AI and Intelligent Systems: Develop and integrate intelligent agents and agentic AI systems to automate and optimize processes. Collaborate with cross-functional teams to implement agent-based solutions in various applications. 3. Research and Innovation: Stay updated with the latest advancements in AI and machine learning. Experiment with new algorithms and methodologies to improve existing models and systems. 4. Collaboration and Technical Leadership: Work closely with data scientists, software engineers, and product managers to ensure AI solutions meet business needs. Provide technical guidance and mentorship to junior team members. 5. Performance Optimization and Scalability: Optimize models for efficiency, scalability, and robustness in production environments. Monitor and evaluate system performance, implementing improvements as necessary. 6. Documentation and Knowledge Sharing: Document model architectures, processes, and key findings. Share insights and advancements with the team and stakeholders. Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience in developing and deploying generative AI models and machine learning systems. Proficiency in programming languages such as Python, with expertise in frameworks like TensorFlow, PyTorch, or Keras. In-depth knowledge of LangChain, Langraph, LangSmith, Agents, Agentic AI, and MCP. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes). Strong analytical and problem-solving skills. Excellent communication skills and ability to work collaboratively in a tea Mandatory Skills: Generative AI.Experience3-5 Years. Role: Data Platform Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Generative AI Agentic AIPyTorchLangChainAgentsLangSmithLangraphTensorFlow

Job description About the Role As a Site Reliability Engineer in the SRE Audit & Compliance Enablement team, you will play a key role in ensuring PhonePe s infrastructure and operations are always audit-ready. You ll combine technical depth with process rigor to build a sustainable, scalable, and proactive approach to audit readiness spanning systems, backups, documentation, and control validation. Roles and Responsibilities Audit & Compliance Enablement Create and maintain reusable evidence artifacts (e.g., access logs, architectural diagrams, control narratives). Represent SRE systems during audit walkthroughs and demos. Collaborate with Compliance, InfoSec, and SRE domain owners for control gap closures and evidence gathering. Backup & Archival Infrastructure Own and operate infrastructure responsible for backups of databases, application/system logs, and audit logs. Perform scheduled validations including data restores and integrity checks. Maintain and update a comprehensive catalog of backup datasets and their retention policies. Generate audit-friendly backup status reports and recovery evidence. Infra Scans & Coordination Support scheduling and execution of VAPT, configuration reviews, access reviews, and internal audits. Track issues to closure by working with SRE and platform teams. Automation & Tooling Build scripts and tools to automate evidence generation and health checks (e.g., backup summaries, uptime reports). Maintain audit SOPs, checklists, and internal documentation to drive repeatability and consistency. Skills Required 4-7 years of experience in SRE, Infrastructure, or Platform roles with strong Linux and cloud fundamentals. Hands-on experience managing or validating backup and archival systems. Familiarity with log management, monitoring, and observability platforms. Exposure to compliance and audit requirements (e.g., ISO 27001, PCI-DSS, SOC 2). Strong scripting skills in Shell/Python/Perl and comfort with automation tooling (e.g., Ansible, Terraform). Excellent documentation and collaboration skills. Preferred Qualifications Experience working closely with InfoSec or Compliance teams on audits or certification cycles. Exposure to enterprise backup and DR systems. Prior ownership of critical infra components with clear SLAs. Certifications in cloud platforms, security, or compliance frameworks. Role: Site Reliability Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills TerraformAnsible ShellVAPTPerlPython

Job description Project Role :Application Developer Project Role Description :Design, build and configure applications to meet business process and application requirements. Must have skills :Ab Initio Good to have skills :NAMinimum 3 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing application features, and ensuring that the applications function seamlessly within the business environment. You will also engage in problem-solving discussions and contribute innovative ideas to enhance application performance and user experience. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Ab Initio.- Good To Have Skills: Experience with ETL processes and data integration.- Strong understanding of application development methodologies.- Familiarity with database management systems and SQL.- Experience in troubleshooting and debugging applications. Additional Information:- The candidate should have minimum 3 years of experience in Ab Initio.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education Role: Data warehouse Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DBA / Data warehousing Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills ab initiosqletldevelopment methodologiesapplication development cssjspado.netdbmshibernatejquerymicroservicesplsqlspringdatabase managementjavaasp.netdebuggingcode reviewhtmlc#pythoncsql servertroubleshootingdata integration

Job description Project Role :AI / ML Engineer Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills :Product Development Management Good to have skills :NAMinimum 12 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Product Development Management.- Strong understanding of AI and ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Hands-on experience with chatbots and image processing. Additional Information:- The candidate should have a minimum of 12 years of experience in Product Development Management.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education Role: Machine Learning Engineer Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills artificial intelligencedeep learningproduct developmentdevelopment managementml image processingalgorithmschatbotpythonnatural language processingmachine learningtensorflowdata sciencecomputer visionpytorchkerasopencv

Job description Project Role :Application Developer Project Role Description :Design, build and configure applications to meet business process and application requirements. Must have skills :PySpark Good to have skills :Python (Programming Language), Apache Spark, Google BigQueryMinimum 5 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, participate in team meetings, and contribute to the overall success of projects by leveraging your expertise in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Good To Have Skills: Experience with Apache Spark, Python (Programming Language), Google BigQuery.- Strong understanding of data processing frameworks and distributed computing.- Experience in developing and deploying scalable applications.- Familiarity with cloud platforms and services. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education Role: Data warehouse Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DBA / Data warehousing Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills pysparkdistributed computingsparkpythondata processing web servicesjspdbmshibernatemicroservicessqlspringreact.jsapachejavaj2eemysqlbigqueryhadoopc#restoraclecgooglejavascriptapplication developmentspring bootnode.js