Job Description- Solution Architect: AI Platforms About Codvo At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. The Role We are seeking an experienced and visionary Solution Architect to join our dynamic team. As a Solution Architect, you will be the primary technical bridge between our clients most complex business challenges and the groundbreaking capabilities of our AI platform. You will be responsible for designing robust, scalable, and innovative solutions that leverage our platforms MCP-first architecture to deliver transformative business value. This is a key role that requires a blend of deep technical expertise, strategic thinking, and exceptional client-facing communication skills. You will be instrumental in demonstrating the power of our platform and ensuring our clients success. Key Responsibilities Client Engagement Discovery: Collaborate closely with enterprise clients to understand their business processes, pain points, data ecosystems, and strategic goals. Solution Design Architecture: Design end-to-end solutions by mapping client requirements to our platforms offerings (e.g., Knowledge Hubs, Conversational AI, Real-time Insights, and Agentic Automation). Create detailed architecture documents, data flow diagrams, and technical specifications. MCP Workflow Ontology Design: Architect the core intelligence for client solutions. This includes designing client-specific ontologies and defining the structure, logic, and composition of Model Context Protocols (MCPs) to automate complex reasoning and workflows. Technical Leadership: Serve as the deep technical expert on the platform for both clients and internal teams. Provide guidance on best practices for data integration, RAG implementation, and agentic automation. Proof of Concept Prototyping: Lead the technical design and development of Proof of Concept (PoC) projects to demonstrate the feasibility and value of our solutions for specific client use cases. Cross-functional Collaboration: Work closely with our Engineering teams to ensure proposed solutions are feasible, scalable, and align with the platforms core architectural principles. Partner with the Product team to provide feedback from the field that informs the future roadmap. Implementation UAT Guidance: Provide architectural oversight and technical guidance during the implementation and User Acceptance Testing (UAT) phases of client projects, ensuring the delivered solution meets the design specifications and business requirements. Continuous Learning: Maintain a deep understanding of the rapidly evolving AI landscape, including new LLM capabilities, agentic frameworks, and industry best practices, and integrate this knowledge into solution designs. Required Qualifications Skills Experience: 8+ years of experience in a technical role such as Solution Architecture, Enterprise Architecture, or senior-level Software Engineering, with at least 3+ years in a client-facing capacity. Architectural Expertise: Proven ability to design and document complex, distributed, and scalable software systems. Deep understanding of microservices, event-driven architecture, and MCP-first design principles. AI/ML Acumen: Strong foundational knowledge of modern AI concepts, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and vector databases (e.g., Qdrant, Pinecone, Weaviate). Data Integration: Hands-on experience designing data pipelines and integrating with diverse enterprise data sources (e.g., relational databases like PostgreSQL, unstructured document stores like SharePoint, APIs, and data warehouses). Cloud Proficiency: Experience architecting solutions on a major cloud platform (AWS, Azure, or GCP). Technical Foundation: Proficiency in Python is strongly preferred. Familiarity with containerization (Docker) and orchestration (Kubernetes) is essential. Communication: Exceptional verbal and written communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. Preferred Qualifications (Nice to Have) Direct, hands-on experience designing or building systems using agentic AI frameworks (e.g. LangGraph, CrewAI). Knowledge of semantic web technologies, including ontologies (OWL/RDF) and graph databases (e.g., Neo4j). Familiarity with the concepts behind the Model Context Protocol (MCP) or similar advanced agentic architectures. Experience with modern observability stacks, particularly OpenTelemetry. Experience designing multi-tenant enterprise software platforms. Knowledge of enterprise security patterns and identity management systems.

Company Overview: At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. Technical or Functional Responsibilities: Successfully gather and analyze technical requirements for projects through client interactions requirement gather process such as, workshops, questionnaire, survey etc. Create detailed business requirement documents, functional specifications documents, user journey, process flows and wireframes. Create presentations, documents collaterals such as client pitch decks, governance meeting deck, demo outline document, UAT sign-off document, go-live presentation etc. Collaborate with development teams to ensure clear understanding and implementation plan of all functional non-functional requirements. Translate business requirements into technical specifications - maintain azure DevOps board, define features and user stories with detailed descriptions acceptance criteria. Ensure alignment with project goals and objectives being met within defined timeline. Domain/ Practice Ownership: Conduct regular research and analysis of industry trends and best practices for one or more dedicated practice areas assigned and report to team/ management on the evolving practices in market in form of practice area specific Solution Catalogue, Market research deck. Propose innovative ideas, plans thought leaderships for growth of the practice areas. Gather in-depth domain know-how techno-functional skills to be champion of the assigned practice areas. Stay updated on emerging trends, and best practices. Create various product solution related collaterals such as, whitepaper, blog, Solution/ Practice pitch deck, case studies etc. Knowledge transfer to other team members on domain know-how, to enhance overall team competency. Planning, Estimation, and Execution: Develop project plans and timelines for all pre-sales product-solutioning related activities, ensuring alignment with overall project goals. Ensure accurate effort estimations along with development team, contributing to project planning and resource allocation. Active participation in project scrum meetings provide necessary inputs or coordinate with other stakeholders for seamless execution without any roadblocks. Monitor and report progress on project deliverables, identifying/ addressing potential roadblocks proactively. Proactive Communication Ownership Responsibilities: Communicate effectively with stakeholders to gather requirements and provide updates throughout the project lifecycle. Take ownership of presales solutioning deliverables, ensuring quality, accuracy, and adherence to timeline. Proactively identify and communicate risks, issues, and dependencies, proposing mitigation strategies. Experience: 6-8 Years Location: Remote

Part-time - Personal Injury Paralegal (AI-Generated Settlement Demand Reviewer) Location: Remote- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai Employment Type: Part time Part-Time (1020 hours per week, flexible schedule) Position Overview Were developing an AI-driven agent to draft settlement demand notes, and we need an experienced Personal Injury Paralegal to review, enhance, and validate the AIs outputs. The ideal candidate will have a strong background in personal injury settlement preparation, exceptional attention to detail, and the ability to identify and correct inaccuracies in AI-generated content. Youll work closely with our legal team and AI engineers to ensure every demand package is accurate, persuasive, and fully compliant with jurisdictional standards. Key Responsibilities Review AI-Generated Drafts Examine settlement demand notes produced by the AI agent for accuracy, completeness, and proper organization. Identify errors or omissions in liability narratives, damage calculations, medical summaries, and policy-limit references. Enhance language for clarity, professionalism, and persuasive impact, ensuring tone aligns with firm standards. Content Improvement & Validation Verify that medical records, bills, wage-loss documentation, and expert opinions are correctly interpreted and summarized Cross-check all numerical values (medical expenses, lost wages, future-care estimates) against source documents. Confirm that statutory deadlines, comparative fault percentages, and damage caps are properly applied. Case File Management Organize and maintain case files (electronic and/or hard copy) so supporting documents align with AI-generated narratives. Tag any missing or inconsistent data points and liaise with attorneys or medical providers to procure necessary information. Legal Research & Compliance Research relevant case law, local court rules, and insurance adjuster guidelines to ensure demand letters meet current jurisdictional requirements. Advise on any new legal developments that should be incorporated into automated templates. Collaboration & Feedback Loop Provide structured feedback to AI engineers regarding common errors, formatting improvements, or language enhancements. Assist in refining prompts and templates to improve future AI drafts. Participate in weekly alignment meetings with attorneys, AI developers, and project managers to review quality metrics and set improvement goals. Drafting & Correspondence After AI review, prepare final settlement demand packagescombining improved narrative, medical summaries, and attachmentsfor attorney approval. Draft follow-up correspondence to insurance adjusters, defense counsel, and expert witnesses when supplemental documentation or clarifications are needed. Quality Control & Reporting Maintain a checklist for each demand package to ensure all elements (liability analysis, damages breakdown, supporting exhibits) are present and accurate. Generate weekly reports tracking AI accuracy scores, number of revisions, and turnaround times. Flag any systemic AI issues to the legal and engineering teams for corrective action. Required Qualifications Minimum 5 years of hands-on Personal Injury Paralegal experiencespecifically with settlement demand preparation and review. Certificate or Associates degree in Paralegal Studies (preferred). Proficiency with case management systems (e.g., Clio, Filevine, MyCase) and document-review platforms. Strong command of medical terminology, billing codes, and damage calculations. Proven ability to draft clear, persuasive settlement demand letters. Excellent written and verbal communication skills with meticulous attention to detail. Experience working with or reviewing AI-generated legal documents (preferred but not mandatory). Ability to work independently, manage deadlines, and juggle multiple files in a fast-paced environment. Reliable internet connection and quiet workspace (for remote work). Desired Skills & Attributes Familiarity with insurance adjuster protocols, and jurisdiction-specific settlement practices. Basic understanding of prompt engineering or experience collaborating with AI/ML teams Advanced Excel skills for damage-analysis spreadsheets. Strong critical thinking and problem-solving aptitudeable to spot subtle inaccuracies or inconsistencies in complex data sets. High level of discretion and ability to maintain confidentiality of client information. Collaborative mindsetcomfortable providing structured feedback to both attorneys and software engineers. Work Schedule & Compensation Schedule: 7:30 PM 11:30 PM , approximately 1020 hours per week. Occasional urgent requests may require same-day review. Compensation: Competitive hourly rate, commensurate with experience. Benefits:N/A (part-time, hourly). Potential to expand hours or take on additional projects based on performance and firm needs.

Part-time - Personal Injury Paralegal (AI-Generated Settlement Demand Reviewer) Remote - India Employment Type: Part time Part-Time (10-20 hours per week, flexible schedule) Position Overview Were developing an AI-driven agent to draft settlement demand notes, and we need an experienced Personal Injury Paralegal to review, enhance, and validate the AIs outputs. The ideal candidate will have a strong background in personal injury settlement preparation, exceptional attention to detail, and the ability to identify and correct inaccuracies in AI-generated content. Youll work closely with our legal team and AI engineers to ensure every demand package is accurate, persuasive, and fully compliant with jurisdictional standards. Key Responsibilities Review AI-Generated Drafts Examine settlement demand notes produced by the AI agent for accuracy, completeness, and proper organization. Identify errors or omissions in liability narratives, damage calculations, medical summaries, and policy-limit references. Enhance language for clarity, professionalism, and persuasive impact, ensuring tone aligns with firm standards. Content Improvement & Validation Verify that medical records, bills, wage-loss documentation, and expert opinions are correctly interpreted and summarized Cross-check all numerical values (medical expenses, lost wages, future-care estimates) against source documents. Confirm that statutory deadlines, comparative fault percentages, and damage caps are properly applied. Case File Management Organize and maintain case files (electronic and/or hard copy) so supporting documents align with AI-generated narratives. Tag any missing or inconsistent data points and liaise with attorneys or medical providers to procure necessary information. Legal Research & Compliance Research relevant case law, local court rules, and insurance adjuster guidelines to ensure demand letters meet current jurisdictional requirements. Advise on any new legal developments that should be incorporated into automated templates. Collaboration & Feedback Loop Provide structured feedback to AI engineers regarding common errors, formatting improvements, or language enhancements. Assist in refining prompts and templates to improve future AI drafts. Participate in weekly alignment meetings with attorneys, AI developers, and project managers to review quality metrics and set improvement goals. Drafting & Correspondence After AI review, prepare final settlement demand packagescombining improved narrative, medical summaries, and attachmentsfor attorney approval. Draft follow-up correspondence to insurance adjusters, defense counsel, and expert witnesses when supplemental documentation or clarifications are needed. Quality Control & Reporting Maintain a checklist for each demand package to ensure all elements (liability analysis, damages breakdown, supporting exhibits) are present and accurate. Generate weekly reports tracking AI accuracy scores, number of revisions, and turnaround times. Flag any systemic AI issues to the legal and engineering teams for corrective action. Required Qualifications Minimum 5 years of hands-on Personal Injury Paralegal experiencespecifically with settlement demand preparation and review. Certificate or Associates degree in Paralegal Studies (preferred). Proficiency with case management systems (e.g., Clio, Filevine, MyCase) and document-review platforms. Strong command of medical terminology, billing codes, and damage calculations. Proven ability to draft clear, persuasive settlement demand letters. Excellent written and verbal communication skills with meticulous attention to detail. Experience working with or reviewing AI-generated legal documents (preferred but not mandatory). Ability to work independently, manage deadlines, and juggle multiple files in a fast-paced environment. Reliable internet connection and quiet workspace (for remote work). Desired Skills & Attributes Familiarity with insurance adjuster protocols, and jurisdiction-specific settlement practices. Basic understanding of prompt engineering or experience collaborating with AI/ML teams Advanced Excel skills for damage-analysis spreadsheets. Strong critical thinking and problem-solving aptitudeable to spot subtle inaccuracies or inconsistencies in complex data sets. High level of discretion and ability to maintain confidentiality of client information. Collaborative mindsetcomfortable providing structured feedback to both attorneys and software engineers. Work Schedule & Compensation Schedule: 7:30 PM 11:30 PM , approximately 10-20 hours per week. Occasional urgent requests may require same-day review. Compensation: Competitive hourly rate, commensurate with experience. Benefits:N/A (part-time, hourly). Potential to expand hours or take on additional projects based on performance and firm needs. Location- Remote, Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad

About the Role We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications. In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions. You will also be expected to apply modern LLMOps practices, handle schema-constrained generation, optimize cost and latency trade-offs, mitigate hallucinations, and ensure robust safety, personalization, and observability across GenAI systems. Responsibilities Generative AI Pipeline Development Design and implement scalable and modular pipelines for data ingestion, transformation, and orchestration across GenAI workloads. Manage data and model flow across LLMs, embedding services, vector stores, SQL sources, and APIs. Build CI/CD pipelines with integrated prompt regression testing and version control. Use orchestration frameworks like LangChain or LangGraph for tool routing and multi-hop workflows. Monitor system performance using tools like Langfuse or Prometheus. Data and Document Ingestion Develop systems to ingest unstructured (PDF, OCR) and structured (SQL, APIs) data. Apply preprocessing pipelines for text, images, and code. Ensure data integrity, format consistency, and security across sources. AI Service Integration Integrate external and internal LLM APIs (OpenAI, Claude, Mistral, Qwen, etc.). Build internal APIs for smooth backend-AI communication. Optimize performance through fallback routing to classical or smaller models based on latency or cost budgets. Use schema-constrained prompting and output filters to suppress hallucinations and maintain factual accuracy. Retrieval-Augmented Generation (RAG) Pipelines Build hybrid RAG pipelines using vector similarity (FAISS/Qdrant) and structured data (SQL/API). Design custom retrieval strategies for multi-modal or multi-source documents. Apply post-retrieval ranking using DPO or feedback-based techniques. Improve contextual relevance through re-ranking, chunk merging, and scoring logic. LLM Integration and Optimization Manage prompt engineering, model interaction, and tuning workflows. Implement LLMOps best practices: prompt versioning, output validation, caching (KV store), and fallback design. Optimize generation using temperature tuning, token limits, and speculative decoding. Integrate observability and cost-monitoring into LLM workflows. Backend Services Ownership Design and maintain scalable backend services supporting GenAI applications. Implement monitoring, logging, and performance tracing. Build RBAC (Role-Based Access Control) and multi-tenant personalization. Support containerization (Docker, Kubernetes) and autoscaling infrastructure for production. Required Skills and Qualifications Education Bachelors or Masters in Computer Science, Artificial Intelligence, Machine Learning, or related field. Experience 5+ years of experience in AI/ML engineering with end-to-end pipeline development. Hands-on experience building and deploying LLM/RAG systems in production. Strong experience with public cloud platforms (AWS, Azure, or GCP). Technical Skills Proficient in Python and libraries such as Transformers, SentenceTransformers, PyTorch. Deep understanding of GenAI infrastructure, LLM APIs, and toolchains like LangChain/LangGraph. Experience with RESTful API development and version control using Git. Knowledge of vector DBs (Qdrant, FAISS, Weaviate) and similarity-based retrieval. Familiarity with Docker, Kubernetes, and scalable microservice design. Experience with observability tools like Prometheus, Grafana, or Langfuse. Generative AI Specific Skills Knowledge of LLMs, VAEs, Diffusion Models, GANs. Experience building structured + unstructured RAG pipelines. Prompt engineering with safety controls, schema enforcement, and hallucination mitigation. Experience with prompt testing, caching strategies, output filtering, and fallback logic. Familiarity with DPO, RLHF, or other feedback-based fine-tuning methods. Soft Skills Strong analytical, problem-solving, and debugging skills. Excellent collaboration with cross-functional teams: product, QA, and DevOps. Ability to work in fast-paced, agile environments and deliver production-grade solutions. Clear communication and strong documentation practices. Preferred Qualifications Experience with OCR, document parsing, and layout-aware chunking. Hands-on with MLOps and LLMOps tools for Generative AI. Contributions to open-source GenAI or AI infrastructure projects. Knowledge of GenAI governance, ethical deployment, and usage controls. Experience with hallucination suppression frameworks like Guardrails.ai, Rebuff, or Constitutional AI. Experience and Shift Shift Time: 2:30 PM to 11:30 PM IST Location: Remote- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Job Title: PostgreSQL Database Administrator We are looking for an experienced 5 to 6 year old and detail-oriented PostgreSQL Database Administrator to join our dynamic team. The ideal candidate will be responsible for managing and optimizing PostgreSQL databases, ensuring high performance, and assisting in the design and implementation of database systems. They will also play a key role in database troubleshooting, backups, migrations, and scaling solutions to meet company needs. Key Responsibilities: Database Design & Management: Design, implement, and manage PostgreSQL database systems. Perform regular maintenance of PostgreSQL databases, including updates, backups, and restores. Ensure database availability, reliability, and performance tuning. Optimization & Troubleshooting: Monitor and optimize the performance of PostgreSQL databases. Write efficient SQL queries, create stored procedures, and optimize and diagnose slow-running queries for better performance. Troubleshoot and resolve database issues, performance bottlenecks, and outages. Ensure, high availability, high responsiveness of database, including fine tuning of queries, creating relevant indexes, defining partition strategies. Monitoring, Maintenance, and Capacity Planning: Perform regular database maintenance tasks (index rebuilds, statistics updates, vacuuming, etc.) Forecast growth and plan for scaling, adjusting storage and compute resources accordingly. Implement and maintain data retention policies that comply with legal, regulatory, and business needs. Design purging and archiving processes for stale or obsolete data to optimize performance and reduce storage costs. Ensure policies are consistently enforced across environments (ex:/ production, UAT, dev) Backup & Disaster Recovery: Implement and maintain regular backup and disaster recovery processes for databases. Perform database replication and clustering for high availability. Understanding Data Usage and Access Patterns Evaluate how applications and users interact with the data. Use this insight to guide decisions on indexing, partitioning, and caching strategies. Document data flows and relationships to ensure system-wide data awareness. Document tables, columns and entity relationships. Security & Compliance: Enforce database security policies, including user access management and data encryption. Ensure compliance with relevant data protection regulations and standards. Collaboration & Development: Work with developers to optimize application queries and database design. Assist in database migrations and upgrades to new versions of PostgreSQL. Participate in code reviews, system design discussions, and database architecture planning. Skills & Qualifications: Experience: Proven experience as a PostgreSQL Database Administrator. Strong knowledge of PostgreSQL database design, administration, and performance tuning. Technical Skills: Proficiency with SQL and PL/pgSQL. Experience with PostgreSQL clustering, replication, and sharding. Familiarity with database backup tools (pg_dump, pg_basebackup) and high-availability techniques (replication, failover) tools like patroni, pgpool2 etc. Understanding of PostgreSQL performance tuning, indexing, and query optimization. Preferred Skills: Should have experience in Azure-managed databases. Ability to manage databases (specifically Percona Postgres Distribution) in Kubernetes environments. Expertise in managing Postgres databases on cloud virtual machines (VMs). Proficiency in configuring distributed storage solutions like Citus. Experience in database partitioning to optimize large datasets. Should have experience in configuring tablespaces in PostgreSQL. Additional Skills: Knowledge of containerization technologies and orchestrations such as Docker and Kubernetes for PostgreSQL deployment. Experience with cloud platforms (AWS, Azure, Google Cloud) and PostgreSQL in the cloud. Familiarity with scripting languages like Python, Bash, or Shell scripting for automating database operations. Summary: This role is pivotal for ensuring the seamless operation of PostgreSQL databases and their integration into scalable, high-performance solutions. The candidate s expertise in advanced PostgreSQL features, cloud platforms, and distributed database solutions will contribute significantly to achieving our organization s

Company Overview: At Codvo, software and people transformations go hand-in-hand We are a global empathy led technology services company Product innovation and mature software engineering are part of our core DNA Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results About the Role: We are seeking a highly experienced and visionary AI Senior Technical Lead to drive the technical direction and execution of our AI initiatives This role is pivotal in shaping our AI strategy, leading a team of talented AI engineers, and ensuring the delivery of innovative and impactful AI solutions As a technical leader, you will be responsible for defining architectural vision, driving best practices, and fostering a culture of technical excellence across diverse AI domains Responsibilities: Technical Leadership & Strategy: Define and communicate the technical vision and strategy for AI projects Lead the architectural design and implementation of complex AI systems Evaluate and recommend emerging AI technologies and methodologies Drive the adoption of best practices for AI development, deployment, and maintenance Contribute to the strategic planning of AI initiatives, aligning them with business goals Team Leadership & Mentorship: Lead and mentor a team of AI engineers, providing technical guidance and support Foster a collaborative and innovative team environment Conduct code reviews and ensure code quality Identify and address skill gaps within the team Facilitate knowledge sharing and continuous learning AI System Development & Implementation: Oversee the development and deployment of scalable and robust AI solutions Ensure the performance, reliability, and security of AI systems Drive the development of AI pipelines and infrastructure Lead the integration of AI models with existing systems and applications Troubleshoot and resolve complex technical issues Research & Innovation: Stay abreast of the latest advancements in AI and machine learning Identify opportunities to apply AI to solve complex business challenges, including opportunities within Generative AI Drive research and development efforts to explore new AI technologies Evaluate and prototype new AI solutions Collaboration & Communication: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers Communicate complex technical concepts to both technical and non-technical audiences Provide technical presentations and demonstrations Document technical designs, code, and processes Required Skills and Qualifications: EducationBatchelors or Masters or Ph.D in Computer Science, Artificial Intelligence, Machine Learning, or a related field Experience: 8+ years of experience in AI/ML development, with a proven track record of leading complex AI projects Extensive experience in designing and implementing scalable AI systems Proven experience in leading and mentoring technical teams Deep understanding of machine learning and deep learning algorithms and architectures Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services Technical Skills: Expertise in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Strong understanding of AI infrastructure and deployment strategies Experience with MLOps best practices Experience with vector databases, and LLM implementations Proficiency in software development principles and best practices Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) Soft Skills: Exceptional leadership and communication skills Strong problem-solving and analytical skills Ability to think strategically and drive innovation Excellent interpersonal and collaboration skills Strong presentation skills Preferred Qualifications: Experience with Generative AI technologies and methodologies (e.g., GANs, Diffusion Models, Transformers for generation) Experience with natural language processing (NLP) or computer vision Contributions to open-source AI projects Experience with distributed systems and big data technologies Experience with prompt engineering

Job TitleOpenShift Architect LocationIndia (remote) Job TypeFull-Time Shift Timing2:30 PM IST to 11:30 PM IST Company Overview: At Codvo, software and people transformations go"hand-in-hand We are a global empathy-led technology services company Product innovation and mature software engineering are part of our core DNA Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results About The Role : We are seeking a seasoned Red Hat OpenShift Architect to join our team and play a crucial role in our Red Hat partnership initiatives The ideal candidate will have extensive experience in architecting and implementing OpenShift solutions and will be responsible for engaging with clients to understand their needs and provide tailored solutions Key Responsibilities: Lead the design and implementation of Red Hat OpenShift solutions Engage with clients to gather requirements and provide technical expertise Collaborate with internal teams to ensure successful project delivery Act as a technical lead and mentor for other team members Support pre-sales activities by providing technical insights and crafting proposals Stay updated with the latest Red Hat technologies and industry trends Qualifications: Red Hat OpenShift Architect Certification (required) Extensive experience in architecting and deploying OpenShift solutions Strong understanding of cloud infrastructure and containerization Excellent communication and presentation skills Ability to work collaboratively in a team environment Willingness to travel to client locations as needed Preferred Skills: Experience with Ansible and other Red Hat technologies Familiarity with other cloud platforms and DevOps practices

Full-Stack Engineering Manager Company Overview: At Codvo, software and people transformations go"hand-in-hand We are a global empathy-led technology services company Product innovation and mature software engineering are part of our core DNA Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results About The Role : Create full stack cloud applications by conceptualizing, designing, and implementing them using effective coding techniques From creation to launch, work through the entire software development lifecycle Collaborate with cross-functional team members to design, develop, review and test applications Stay updated with emerging technologies and apply them to the operational activities in the organization Design and build scalable APIs Managing each projects scope and timeline Driving hiring of new team members, mentoring and supporting there career development Should have very good knowledge on Agile frameworks Write clean, efficient, and reusable code Develop highly efficient user interface components Preferred Skills: Bachelors/Masters degree in Computer Science (or equivalent experience) 5+ years of significant experience as a full-stack developer (rare exceptions for highly skilled developers) Proficient with one or more front-end technologies such as React, JavaScript, Vue.js, HTML/CSS, Redux, Angular, UX Design, WordPress, Spark, or UI Design Proficient with one or more back-end technologies such as Node, Python, PHP, Java, Go/Golang, Ruby on Rails, Django, Google Cloud Platform, Laravel, among others Strong leadership quality to drive the team Excellent interpersonal and communication skills Efficient with Client-handling skills Work Experience9+ Years LocationRemote Work Timings2:30PM to 11:30PM Show more Show less

Azure and AWS Infrastructure Management: Design, implement, and manage scalable, reliable, and secure cloud infrastructure on Azure and AWS. Extensive experience with core Azure services such as Azure Virtual Machines, Azure App Services, Azure SQL Database, Azure Active Directory, Azure Storage, Azure Kubernetes Service and Azure Networking. CI/CD Pipelines: Develop and maintain CI/CD pipelines using Jenkins and Bitbucket Pipelines, ensuring efficient and error-free deployments. Kubernetes (AKS): Deploy, manage, and scale containerized applications using Azure Kubernetes Service (AKS). Helm Charts: Create, maintain, and manage Helm charts for Kubernetes deployments. Infrastructure as Code (IaC): Automate infrastructure provisioning and management using Terraform. Monitoring and Logging: Implement monitoring, logging, and alerting solutions using the ELK stack (Elasticsearch, Logstash, Kibana) to ensure the health and performance of the infrastructure and applications. Security: Implement security best practices in all aspects of the DevOps lifecycle, including infrastructure, CI/CD pipelines, and applications. Troubleshooting: Diagnose and resolve infrastructure and application issues, ensuring minimal downtime and optimal performance. Qualifications: Experience: Minimum 6 years of experience in a DevOps role. Azure and AWS: Extensive experience with Azure and AWS services and infrastructure. CI/CD: Strong experience with Jenkins and Bitbucket Pipelines or other CI/CD tools. Kubernetes: Proficiency with Azure Kubernetes Service (AKS) and container orchestration. Helm: Experience with Helm charts for managing Kubernetes applications. Terraform: Proficiency in using Terraform for Infrastructure as Code (IaC). Scripting and Automation: Proficiency in scripting languages such as Bash, Python, or PowerShell. Monitoring Tools: Experience with the ELK stack (Elasticsearch, Logstash, Kibana) for monitoring and logging. Version Control: Proficiency with version control systems, particularly Git and Bitbucket. Soft Skills: Strong problem-solving skills, excellent communication skills, and the ability to work in a team environment. Location : Remote, Chennai, Hyderbad, Kolkata, Pune, Ahmedabad Work Timings : 2:30PM-11:30PM

Key Responsibilities: Backend Service Development: Design and implement robust, scalable, and maintainable backend services using Python. Utilize appropriate frameworks and libraries to streamline development and enhance productivity. Integrate AI models and algorithms into backend services, ensuring efficient and reliable communication. AI Model Integration: Collaborate with data scientists and AI engineers to understand AI model requirements and specifications. Develop APIs and interfaces to facilitate seamless integration of AI models into backend services. Cloud Infrastructure Management: Deploy and manage backend services on cloud platforms (e.g., AWS, Azure & GCP). Leverage cloud-native technologies and services to optimize infrastructure costs and performance. Ensure the security and compliance of cloud infrastructure. Collaboration and Mentorship: Work collaboratively with a cross-functional team of engineers, data scientists, and project stakeholders. Provide technical guidance and mentorship to junior engineers. Qualifications and Skills: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in Python programming, with a focus on backend development. Strong understanding of object-oriented programming (OOP) principles and design patterns. Experience with Python web frameworks (e.g., Django, Flask) and RESTful API development. Proficiency in cloud technologies (e.g., AWS, Azure & GCP) and containerization (e.g., Docker & Kubernetes). Familiarity with AI principles, machine learning algorithms, and deep learning frameworks (e.g., TensorFlow, PyTorch). Preferred Qualifications: Experience with large-scale distributed systems and microservices architectures. Knowledge of data engineering principles and big data technologies (e.g., Apache Spark). Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote Work Timings 2.30 pm -11.30 pm

Position Overview:We are seeking a highly skilled Senior Database Administrator (DBA) with a strong background in database design, data architecture, and performance engineering. The ideal candidate will have at least 10 years of experience in core DBA activities, with extensive knowledge of PostgreSQL in a cloud environment, particularly deploying Kubernetes containerized databases. Key Responsibilities: Database Design & Architecture: Collaborate with cross-functional teams to design and implement robust database architectures that meet business requirements. Develop and maintain data models, schemas, and database structures to ensure optimal data management and accessibility. Performance Engineering: Monitor and analyze database performance, identifying and resolving bottlenecks to enhance overall system efficiency. Implement performance tuning strategies, including indexing, query optimization, and partitioning. DBA Activities: Manage and maintain PostgreSQL databases in a cloud environment, ensuring high availability, reliability, and security. Perform regular database backups, recovery, and disaster recovery planning to safeguard data integrity. Develop and execute database migration plans and strategies as needed. Containerization & Cloud Deployment: Deploy and manage containerized PostgreSQL databases using Kubernetes, ensuring efficient orchestration and scaling. Work with cloud services (AWS, Azure, GCP) to optimize database solutions and leverage cloud-native features. Documentation & Best Practices: Create and maintain comprehensive documentation for database configurations, procedures, and processes. Establish and enforce database best practices, policies, and standards across the organization. Collaboration & Support: Collaborate with developers, data engineers, and other stakeholders to support application development and data-related initiatives. Provide on-call support and troubleshooting for database-related incidents and performance issues. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field; Masters degree is a plus. Minimum of 10 years of experience in database administration with a strong focus on PostgreSQL. Extensive experience with cloud environments (AWS, Azure, GCP) and container orchestration tools, particularly Kubernetes. Proficiency in database design, data modeling, performance tuning, and optimization techniques. Strong knowledge of database security best practices and data governance. Excellent problem-solving skills and the ability to work independently and as part of a team. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders. Preferred Skills: Experience with additional databases (e.g., MySQL, Oracle) is a plus. Familiarity with scripting languages (e.g., Python, Bash) for automation and process improvement. Knowledge of DevOps practices and CI/CD methodologies related to database deployment. Location-Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

About Codvo.ai : Codvo.ai is an AI-first product engineering company dedicated to revolutionizing the way businesses innovate and deliver products. We leverage cutting-edge artificial intelligence and data-driven methodologies to empower our clients with agile, efficient, and scalable solutions. Our commitment to excellence and innovation has positioned us as leaders in the AI product engineering space. Key Responsibilities: Develop and maintain software applications using .NET framework, C# and .NET Core, with a focus on writing clean, maintainable, and testable code. 100% Participation in Agile ceremonies, including Sprint Planning, Daily Stand-ups, Retrospectives, and Sprint Reviews. Work closely with product owners, designers, and other stakeholders to understand project requirements and translate them into technical solutions. Utilize Azure cloud services to architect, implement, and deploy scalable and reliable solutions. Collaborate with team members to identify and address technical challenges, ensuring timely delivery of quality software. Adhere to Agile practices and principles, promoting continuous improvement and innovation within the team. Communicate effectively with team members, stakeholders, and clients to provide updates on project progress and address any concerns or issues. Identify technical skill & capability gaps within team and arrive at roadmap to close the gaps in collaboration with internal and external partners as appropriate.? Analyze and evaluate applications and systems to identify areas for improvement, suggesting upgrades and changes to enhance system performance, security, and functionality. Key Requirements: 8+ years extensive experience and advanced knowledge with .NET framework, MVC and .NET Core, with strong proficiency in C# programming language. Solid knowledge of Object-Oriented design principles, Test Driven Development, DDD and software engineering best practices. Strong experience working with SQL databases and server (Azure SQL DB, MS SQL Server) Ability to communicate complex technical or architecture concepts in a simple manner and can adapt to different audiences. Experience navigating large complex applications Proven ability to work in a collaborative, cross-functional Agile team environment. Hands-on experience with Agile practices, including Sprint Planning, Daily Stand-ups, Retrospectives, and Continuous Integration/Continuous Deployment (CI/CD). Experience with source code management tools (e.g. git), build management tools (e.g. Maven) and continuous integration/delivery processes and tools (e.g. Jenkins, Ansible, Azure Pipelines) Expertise in Azure cloud services. Strong problem-solving, analytical, and debugging skills. Excellent communication and interpersonal skills for effective collaboration with team members, stakeholders, and clients. Commitment to writing clean, maintainable, and testable code following industry best practices and coding standards. Experience : 5-8Years Work Location : (Remote), Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad

About the Role We are looking for a hands-on and passionate Full Stack Lead to join our team and take a leading role in the development of cutting-edge applications, including those involving machine learning and AI. You will be responsible for designing, developing, and deploying full stack solutions, guiding and mentoring other developers, and ensuring the delivery of high-quality, scalable, and maintainable code. You will have a deep understanding of front-end and back-end technologies, with proven expertise in React, Node.js, and Python, as well as some hands-on experience with ML engineering principles. Responsibilities: Technical Leadership: o Provide technical leadership and guidance to a team of full stack developers. o Design and architect full stack solutions for complex applications, including those with AI/ML components. o Define coding standards and best practices, and ensure adherence across the team. o Conduct code reviews and provide constructive feedback. o Stay up-to-date with the latest technologies and trends in full stack development and AI/ML. Full Stack Development: o Develop and maintain web applications using React, Node.js, and Python. o Build reusable components and libraries for future use. o Design and implement RESTful APIs for communication between front-end and back-end. o Optimize applications for maximum speed and scalability. o Write clean, efficient, and well-documented code. AI/ML Integration: o Collaborate with data scientists and ML engineers to integrate machine learning models into applications. o Build and maintain the infrastructure for deploying and serving ML models. o Implement data pipelines for processing and feeding data to ML models. o Monitor the performance of ML models in production and identify areas for improvement. Project Management: o Participate in sprint planning and task estimation. o Track progress and report on development activities. o Identify and mitigate potential risks and issues. o Ensure timely delivery of high-quality software. Skills: Essential: o JavaScript (Mastery): Deep understanding of JavaScript, including ES6+ features and asynchronous programming. Mastery of React ecosystem, including state management (e.g., Redux, Context API), routing, and testing. o Node.js (Proficiency): Proficient in building scalable and performant back-end applications with Node.js and Express.js. Experience with middleware, authentication, and authorization. o Python (Proficiency): Proficient in Python and at least one web framework (e.g., Flask, Django). Experience with data structures, algorithms, and object-oriented programming. o Databases (Experience): Experience with both relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB). Ability to design database schemas and optimize queries. o API Design (Experience): Solid understanding of RESTful API design principles. Experience with API documentation tools (e.g., Swagger). o Version Control (Mastery): Mastery of Git and version control best practices, including branching, merging, and conflict resolution. o Containers and Orchestration (Experience): Hands-on experience with Docker for containerizing applications. Familiarity with Kubernetes for orchestrating and managing containers. o Testing (Proficiency): Proficient in writing unit tests and integration tests. Experience with testing frameworks for both front-end and back-end. o Communication & Collaboration (Mastery): Excellent written and verbal communication skills. Proven ability to collaborate effectively with cross-functional teams. o Leadership & Mentorship (Proficiency): Strong leadership and mentoring skills. Ability to guide and motivate a team of developers. Desirable: o Cloud Platforms (Experience): Experience with cloud platforms like AWS or Azure. Knowledge of cloud services relevant to application deployment and scaling. o DevOps (Experience): Experience with DevOps practices and CI/CD pipelines. Familiarity with tools like Jenkins or Azure DevOps. o Machine Learning (Experience): Familiarity with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data processing and visualization tools. Qualifications: Essential: o Bachelor's degree in Computer Science or related field. o 6+ years of experience in full stack development, with at least 2 years in a lead role. o Proven experience in developing and deploying applications with AI/ML components. Location - Remote, Hyderabad,ahmedabad,pune,chennai,kolkata,Delhi / NCR,Mumbai,Bengaluru

About the Role: We are seeking a highly skilled and passionate Data Engineer to join our growing team dedicated to building and supporting cutting-edge analytical solutions. In this role, you will play a critical part in designing, developing, and maintaining the data infrastructure and pipelines that power our optimization engines. You will work in close collaboration with our team of data scientists who specialize in mathematical optimization techniques. Your expertise in data engineering will be essential in ensuring seamless data flow, enabling the development and deployment of high-impact solutions across various areas of our business. Responsibilities: Design, build, and maintain robust and scalable data pipelines to support the development and deployment of mathematical optimization models. Collaborate closely with data scientists to deeply understand the data requirements for optimization models. This includes: Data preprocessing and cleaning Feature engineering and transformation Data validation and quality assurance Develop and implement comprehensive data quality checks and monitoring systems to guarantee the accuracy and reliability of the data used in our optimization solutions. Optimize data storage and retrieval processes for highly efficient model training and execution. Work effectively with large-scale datasets, leveraging distributed computing frameworks when necessary to handle data volume and complexity. Contribute to the development and maintenance of thorough data documentation and metadata management processes. Stay up to date on the latest industry best practices and emerging technologies in data engineering, particularly in the areas of optimization and machine learning. Qualifications: Education: Bachelor's degree in computer science, Data Engineering, Software Engineering, or a related field is required. Master's degree in a related field is a plus. Experience: 3+ years of demonstrable experience working as a data engineer, specifically focused on building and maintaining complex data pipelines. Proven track record of successfully working with large-scale datasets, ideally in environments utilizing distributed systems. Technical Skills - Essential: Programming: High proficiency in Python is essential. Experience with additional scripting languages (e.g., Bash) is beneficial. Databases: Extensive experience with SQL and relational database systems (PostgreSQL, MySQL, or similar). You should be very comfortable with: Writing complex and efficient SQL queries Understanding performance optimization techniques for databases Applying schema design principles Data Pipelines: Solid understanding and practical experience in building and maintaining data pipelines using modern tools and frameworks. Experience with the following is highly desirable: Workflow management tools like Apache Airflow Data streaming systems like Apache Kafka Cloud Platforms: Hands-on experience working with major cloud computing environments such as AWS, Azure, or GCP. You should have a strong understanding of: Cloud-based data storage solutions (Amazon S3, Azure Blob Storage, Google Cloud Storage) Cloud compute services Cloud-based data warehousing solutions (Amazon Redshift, Google Big Query, Snowflake) Technical Skills - Advantageous (Not Required, But Highly Beneficial): NoSQL Databases: Familiarity with NoSQL databases like MongoDB, Cassandra, and DynamoDB, along with an understanding of their common use cases. Containerization: Understanding of containerization technologies such as Docker and container orchestration platforms like Kubernetes. Infrastructure as Code (IaC): Experience using IaC tools such as Terraform or CloudFormation. Version Control: Proficiency with Git or similar version control systems. Soft Skills: Communication: Excellent verbal and written communication skills. You'll need to effectively explain complex technical concepts to both technical and non-technical audiences. Collaboration: You'll collaborate closely with data scientists and other team members, so strong teamwork and interpersonal skills are essential. Problem-Solving: You should possess a strong ability to diagnose and solve complex technical problems related to data infrastructure and data pipelines. Adaptability: The data engineering landscape is constantly evolving. A successful candidate will be adaptable, eager to learn new technologies, and embrace change. Additional Considerations: Industry Experience: While not a strict requirement, experience working in industries with a focus on optimization, logistics, supply chain management, or similar domains would be highly valuable. Machine Learning Operations (MLOps): Familiarity with MLOps concepts and tools is increasingly important for data engineers in machine learning-focused environments.

Product Vision & Roadmap: Own the product vision, strategy, and roadmap for digital products for Mortgage industry. Product Backlog Management: Assist in managing and prioritizing the product backlog, ensuring that the team always works on high-impact tasks, considering Mortgage industry standards and best practices. Requirement Gathering: Collaborate with stakeholders to understand business needs and translate them into detailed user stories and acceptance criteria. Sprint Planning: Participate in sprint planning meetings, helping to define what can be delivered in the upcoming sprint and setting realistic goals. Stakeholder Communication: Act as a point of contact between the development team and stakeholders, ensuring clear communication of progress and challenges. User Feedback Incorporation: Gather feedback from end-users and stakeholders, incorporating it into product development to ensure the final product meets user needs. Market Research: Conduct market research to stay informed about industry trends and competitor products in the Mortgage space, to use these insights to refine product strategy. Quality Assurance: Work closely with the QA team to ensure the product meets quality standards and fulfils user requirements. Agile Methodology: Work within an Agile framework, actively participating in all scrum ceremonies, including daily standups, sprint reviews, and retrospectives. Performance Monitoring: Monitor the performance of the product and suggest improvements or adaptations based on data analysis. Product end-to-end ownership: Ensure products are delivered on time and within budget, meeting quality standards and regulatory requirements. Domain SME: Act as a subject matter expert for Mortgage industry, providing guidance and insights to the team. Requirements: Masters degree in business Administration or related field. Must have very good experience in product management in the mortgage industry. Strong understanding of mortgage industry experience and best practices. Excellent communication and interpersonal skills. Ability to work effectively in a fast -paced dynamic environment. Experience working with cross- functional team. Experience: 5-10 Years Job Location: Remote Work Timings: 2.30 pm -11.30 pm IST Skills : - Mortgage industry experience,Excellent communication ,Requirements Gathering and Analysis

At Codvo, software and people transformations go together We are a global empathy-led technology services company with a core DNA of product innovation and mature software engineering We uphold the values of Respect, Fairness, Growth, Agility, and Inclusiveness in everything we do Overview: We are seeking an experienced SharePoint Migration Solution Architect to lead the strategic and technical migration of up to 20,000 SharePoint sites to Nintex and/or InfoPath platforms This role requires deep technical knowledge of SharePoint (on-premise and Online), Nintex, InfoPath, and related workflow/form technologies You will be responsible for assessing, planning, executing, and validating the migration of complex forms, workflows, and integrations in a high-scale, enterprise environment Key Responsibilities: Lead the discovery and assessment of existing SharePoint forms, workflows, and site configurations across a large-scale environment (up to 20K sites) Analyze business processes and translate them into scalable solutions using Nintex or InfoPath Design and develop reusable migration frameworks for form/workflow transformation Rebuild or redesign legacy SharePoint Designer workflows and InfoPath forms using Nintex Workflow and Nintex Forms Collaborate with enterprise architects, business analysts, and end-users to ensure proper functionality and user experience post-migration Implement automated testing and validation strategies to ensure consistency across migrated content Troubleshoot complex issues related to permissions, content types, metadata mapping, and integration with external systems Provide governance recommendations for workflow and form management post-migration Coordinate UAT, training, and change management activities with business units Required Skills & Qualifications: 6+ years of experience with SharePoint (2013/2016/2019/Online) in a development, migration, or architecture role 5+ years of hands-on experience with Nintex Workflow/Form development (on-prem and/or O365) Strong experience with InfoPath, including form design, rules, data connections, and SharePoint integration Proficiency in PowerShell scripting, PnP, and CSOM for automation and reporting Deep understanding of SharePoint architecture, content types, list/library structures, permissions, and versioning Experience with third-party migration tools such as ShareGate, Rencore, or AvePoint is a strong plus Familiarity with external system integrations (e.g., SQL, SAP, REST APIs) within SharePoint/Nintex environments Excellent troubleshooting, documentation, and communication skills Ability to manage priorities in a complex, fast-paced enterprise environment Preferred Qualifications: Nintex Certifications (e.g., Nintex Certified Workflow Professional) Microsoft 365 or SharePoint certifications Experience with Power Platform (Power Apps / Power Automate) is a plus Experience with large-scale migrations and enterprise change management strategies Show more Show less

About The Role Senior Computer Vision Machine Learning Engineer About Us At Codvo, software and people transformations go together We are a global empathy-led technology services company with a core DNA of product innovation and mature software engineering We uphold the values of Respect, Fairness, Growth, Agility, and Inclusiveness in everything we do Job Overview We are looking for a Senior Computer Vision Machine Learning Engineer to lead the development of real-time CV/ML systems, with an emphasis on deploying models on edge platforms like the NVIDIA IGX Orin The ideal candidate will have experience in designing robust vision pipelines, training and optimizing deep learning models, and working closely with hardware platforms for deployment Responsibilities Lead the design, development, and deployment of end-to-end computer vision and deep learning models Optimize and deploy CV/ML pipelines on edge platforms, particularly NVIDIA IGX (Orin preferred) Work with cross-functional teams to integrate models into real-time applications (e.g., robotics, safety systems, industrial inspection) Develop and maintain datasets, perform data augmentation, and ensure quality training inputs Leverage NVIDIA SDKs (e.g., DeepStream, TensorRT, TAO Toolkit, CUDA) for performance and acceleration Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints Stay up to date with the latest research and techniques in computer vision, edge AI, and embedded ML Requirements Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field 5+ years of experience in Computer Vision and Machine Learning (deep learning emphasis) Proficiency in Python, C++, TensorFlow, PyTorch Strong understanding of model optimization techniques for edge deployment Hands-on experience with NVIDIA platforms- IGX, Jetson, or Xavier (IGX Orin highly preferred) Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit) Solid knowledge of vision tasksobject detection, tracking, classification, segmentation Familiarity with containerization (Docker), CI/CD pipelines, and version control (Git) Preferred Qualifications Experience in industrial AI, medical imaging, or robotics Exposure to RTOS, safety-critical systems, or IEC 61508/ISO 26262 environments Familiarity with ONNX, OpenCV, ROS, or GStreamer What We Offer Opportunity to work on cutting-edge AI/edge technology with real-world impact Collaborative and fast-paced engineering culture Flexible working hours and remote work options Competitive salary and benefits package Show more Show less

About The Role : Responsibilities: Lead and manage end-to-end SharePoint migration projects, ensuring timely delivery and adherence to project scope and budget Collaborate with stakeholders to gather requirements, define project objectives, and develop detailed project plans Coordinate with cross-functional teams, including IT, business units, and external vendors, to ensure seamless migration processes Conduct risk assessments and develop mitigation strategies to address potential project challenges Monitor project progress, track key performance indicators, and provide regular status updates to stakeholders Ensure data integrity and security throughout the migration process Develop and maintain comprehensive project documentation, including project plans, status reports, and post-migration evaluations Provide training and support to end-users to facilitate smooth adoption of the new SharePoint environment Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field Proven experience as a Project Manager, with a focus on SharePoint migration projects on latest versions Strong understanding of SharePoint architecture, features, and migration tools Excellent project management skills, including the ability to manage multiple projects simultaneously Proficiency in project management software and tools (e.g., Microsoft Project, JIRA) Exceptional communication and interpersonal skills, with the ability to work effectively with diverse teams Strong problem-solving skills and attention to detail PMP or PRINCE2 certification is a plus Location Remote Experience 7+ years Show more Show less

At Codvo, software and people transformations go together We are a global empathy-led technology services company with a core DNA of product innovation and mature software engineering We uphold the values of Respect, Fairness, Growth, Agility, and Inclusiveness in everything we do Overview: We are seeking an experienced SharePoint Migration Solution Architect to lead the strategic and technical migration of up to 20,000 SharePoint sites to Nintex and/or InfoPath platforms This role requires deep technical knowledge of SharePoint (on-premise and Online), Nintex, InfoPath, and related workflow/form technologies You will be responsible for assessing, planning, executing, and validating the migration of complex forms, workflows, and integrations in a high-scale, enterprise environment Key Responsibilities: Lead the discovery and assessment of existing SharePoint forms, workflows, and site configurations across a large-scale environment (up to 20K sites) Analyze business processes and translate them into scalable solutions using Nintex or InfoPath Design and develop reusable migration frameworks for form/workflow transformation Rebuild or redesign legacy SharePoint Designer workflows and InfoPath forms using Nintex Workflow and Nintex Forms Collaborate with enterprise architects, business analysts, and end-users to ensure proper functionality and user experience post-migration Implement automated testing and validation strategies to ensure consistency across migrated content Troubleshoot complex issues related to permissions, content types, metadata mapping, and integration with external systems Provide governance recommendations for workflow and form management post-migration Coordinate UAT, training, and change management activities with business units Required Skills & Qualifications: 10+ years of experience with SharePoint (2013/2016/2019/Online) in a development, migration, or architecture role 6+ years of hands-on experience with Nintex Workflow/Form development (on-prem and/or O365) Strong experience with InfoPath, including form design, rules, data connections, and SharePoint integration Proficiency in PowerShell scripting, PnP, and CSOM for automation and reporting Deep understanding of SharePoint architecture, content types, list/library structures, permissions, and versioning Experience with third-party migration tools such as ShareGate, Rencore, or AvePoint is a strong plus Familiarity with external system integrations (e.g., SQL, SAP, REST APIs) within SharePoint/Nintex environments Excellent troubleshooting, documentation, and communication skills Ability to manage priorities in a complex, fast-paced enterprise environment Preferred Qualifications: Nintex Certifications (e.g., Nintex Certified Workflow Professional) Microsoft 365 or SharePoint certifications Experience with Power Platform (Power Apps / Power Automate) is a plus Experience with large-scale migrations and enterprise change management strategies Show more Show less