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Job Description
Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.
Role & Responsibilities
- Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
- LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
- Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
- Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
- Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
- Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.
Preferred Candidate Profile
- Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
- Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
- Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
- AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
- Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
- MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
- Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
- Education: Degree in Computer Science, Data Engineering, or related field.
Perks and Benefits
- Competitive Compensation: INR 20L to 30L per year.
- Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.
Role & Responsibilities
We are seeking a seasoned Solution Architect to design and lead AI infrastructure and private cloud initiatives. This role focuses on building scalable, high-performance environments to support AI/ML workloads, data platforms, and enterprise applications. The ideal candidate will have deep expertise in private cloud architectures, GPU-based computing, and modern data center technologies, along with the ability to align infrastructure strategy with business and AI innovation goals.
Key Responsibilities-
- Architect and design AI-ready infrastructure platforms, including GPU clusters, high-performance computing (HPC), and storage systems
- Define and implement private cloud solutions using technologies such as OpenStack and VMware
- Design scalable environments for AI/ML workloads, including training and inference pipelines
- Collaborate with data scientists, platform engineers, and infrastructure teams to translate AI requirements into infrastructure solutions
- Drive infrastructure modernization initiatives, including containerization and orchestration using Kubernetes
- Ensure high availability, performance, scalability, and security of AI platforms
- Design storage solutions optimized for AI workloads (e.g., distributed file systems, object storage)
- Implement networking architectures for high-throughput, low-latency data transfer
- Define automation strategies using Infrastructure as Code (IaC) and configuration management tools
- Establish governance, standards, and best practices for AI infrastructure and private cloud environments
- Evaluate emerging technologies and recommend solutions aligned with enterprise strategy
- Provide technical leadership and guidance across architecture, design, and implementation phases
Ideal Candidate
- Strong Solution Architect – AI Infrastructure & Private Cloud profiles
- Mandatory (Experience 1) – Must have 8+years of experience in IT infrastructure, cloud, or data center architecture roles
- Mandatory (Experience 2) – Must have strong expertise in private cloud and virtualization (OpenStack, VMware vSphere) along with solid knowledge of Linux, networking, and storage architectures.
- Mandatory (Experience 3) – Must have hands-on experience designing AI/ML infrastructure, including GPU-based systems (e.g., NVIDIA platforms), HPC, and AI-optimized storage
- Mandatory (Experience 4) – Must have strong experience with containerization and orchestration (Docker, Kubernetes) and IaC/automation tools (Terraform, Ansible)
- Mandatory (Experience 5) – Must have experience designing scalable AI/ML environments for training/inference pipelines, with high-throughput, low-latency networking and distributed storage
- Mandatory (Experience 6) – Must have familiarity with hybrid cloud integration (AWS, Azure, or GCP) and proven ability to lead architecture design with strong stakeholder management.
- Mandatory (Skill) – Must have familiarity with hybrid cloud integration involving AWS, Azure, or GCP.
- Preferred (Skill 1) – Certifications in cloud (AWS/Azure/GCP), Kubernetes, or VMware/OpenStack, along with experience in MLOps platforms and AI lifecycle management
- Preferred (Skill 2) – Knowledge of high-performance networking (InfiniBand, RDMA) and exposure to data lake architectures and big data platforms
- Preferred (Skill 3) – Experience in large-scale enterprise or hyperscale environments.
- Position: Appian Tech Lead
- Job Description:
- Extensive experience in Appian BPM application development
- Knowledge of Appian architecture and its objects best practices
- Participate in analysis, design, and new development of Appian based applications
- Mandatory Team leadership and provide technical leadership to Scrum teams Certification Mandatory- L1, L2 or L3
- Must be able to multi-task, work in a fast-paced environment and ability to resolve problems faced by team
- Build applications: interfaces, process flows, expressions, data types, sites, integrations,
- Proficient with SQL queries and with accessing data present in DB tables and views
- Experience in Analysis, Designing process models, Records, Reports, SAIL, forms, gateways, smart services, integration services and web services
- Experience working with different Appian Object types, query rules, constant rules and expression rules
Qualifucations
- At least 6 years of experience in Implementing BPM solutions using Appian 19.x or higher
- Over 8 years in Implementing IT solutions using BPM or integration technologies
- Experience in Scrum/Agile methodologies with Enterprise level application development projects
- Good understanding of database concepts and strong working knowledge any one of the major databases e g Oracle SQL Server MySQL
- Appian BPM application development on version 19.x or higher
- Experience of integrations using web services e g XML REST WSDL SOAP API JDBC JMS
- Good leadership skills and the ability to lead a team of software engineers technically
- Experience working in Agile Scrum teams
- Good Communication skills
Develop testing strategy, test plan and test scenarios for new feature set in existing applications and for new applications as well.
Perform Root Cause analysis for captured bugs
Prioritize and Categorize captured bugs
Develop, prioritize, and execute manual and automated regression test cases/scripts on releases.
Identify and create test data for sprint test demo
Create positive and negative tests for User Stories
Expected skill set (MUST HAVES):
Excellent command of Manual Testing and Automation Testing (Any tool).
Good knowledge of UI automation using Selenium or equivalent
Good knowledge in writing advanced SQL queries and data validation techniques
Good Experience of working in an Agile environment and
Expected skill set (Good to have)
- Act as a key point of contact to the Business Transformation Services, Business Analysis, and Functional Architecture and Solution Architecture groups throughout the implementation
- Interface with business stakeholders to determine key design/process decisions, and contribute to overall delivery plan.
- Deliver assigned tasks complete and on time as designated by the Programme Office to ensure smooth progress of the implementation.
- Contribute and take ownership for various project related tasks / planning activities as the programme evolves
- Knowledge and Practical experience of Project Management methodologies – ability to configure delivery work stream frameworks to progress timelines and delivery milestones
- Demonstrate ability in planning consulting/functional work & ownership of project outcomes
Qualification: MBA(Tier 1 B-School)
Requirements -
Roles and Responsibilities :
- Lead the delivery of high quality, innovative, flexible, cost-optimized, and scalable technical solutions that meet business requirements
- Design, Develop, test, and maintain software applications with MVC architectures, Microservices, and scalable cloud-native apps.
- Perform hands-on coding and provide thoughtful code reviews
- Mentor and lead team members to continuously improve quality and productivity of deliverables
- Demonstrate ability to work within an agile team as well as collaborate with many other teams on design and implementation strategies. Follow SCRUM Agile Development methodology
- Effective Communication Skills- An ability to express your ideas to the recipient & Co-ordinate and communicate with cross-functional team along with the client's team
- Problem Solving, Hustler - Get Stuff Done, Self-Disciplined Open-minded, User-Focused, Adaptive
- Lean Principles & Analytical Thinking
- Project planning, timelines, and milestones for execution and deliverables
- Participate in the Evaluation Review of your team member
Primary Skills
- Experience in building an enterprise web application using ReactJS as the frontend framework
- Experience with Redux and React Hooks
- Expert in HTML5, CSS3
- Experience in Bootstrap4 or CSS pre-processor like Less or Sass is highly desirable
- Strong knowledge of best practices and modern web design trends is necessary.
- Some experience with modern web-based typography.
- Excel at rapid prototyping and at writing good code.
- Experience with testing/debugging in multiple browsers and platforms.
- Expertise in using JavaScript
- Should have worked on REST client and WebSockets
- Should be able to write Unit testing using any one of the frameworks like Cypress, Jasmine, Karma, Jest, Enzyme, or any other similar framework.
- Should have experience in either one of the Build scripts like Gulp or Grunt or Webpack
- Low-Latency UI, Page optimization, and bundle build+caching
- Problem-solving and debugging skills
- Component-based architecture
Title:- Jira Consultant
Location:- Indore/Bangalore/Pune/Gurgaon
Contract Duration: 6-12 months
Job Description
Understand our business and advise on the best way to use JIRA
Help implement governance of our JIRA usage
Ensure JIRA projects are standardised for development teams
Document our usage of JIRA
Create training material for new hires
SME on workflow, plugins and all JIRA functionality
Consult with teams on how to use JIRA effectively – PMO, PLM Team, Solution Team, Leadership, Business Analysts, Tribe Leads, etc
Setup and maintain reports
Advise on best practices for maintaining JIRA.
Experience required
Experience of designing and managing large scale JIRA deployments in software development environments using agile.
- Familiarity with some ORM (Object Relational Mapper) libraries
- Able to integrate multiple data sources and databases into one system
- Good understanding of server-side templating languages
- Good understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
- Knowledge of user authentication and authorization between multiple systems, servers, and environments
- Understanding of fundamental design principles behind a scalable application
- Familiarity with event-driven programming in Python
- Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform
- Able to create database schemas that represent and support business processes
- Strong unit test and debugging skills
- Proficient understanding of code versioning tools Git



