Data Analyst / ML Engineer

Review Criteria:

• Strong Software Engineer fullstack profile using NodeJS / Python and React
• 6+ YOE in Software Development using Python OR NodeJS (For backend) & React (For frontend)
• Must have strong experience in working on Typescript
• Must have experience in message-based systems like Kafka, RabbitMq, Redis
• Databases - PostgreSQL & NoSQL databases like MongoDB
• Product Companies Only
• Tier 1 Engineering Institutes preferred (IIT, NIT, BITS, IIIT, DTU or equivalent)

Preferred:

• Experience in Fin-Tech, Payment, POS and Retail products is highly preferred
• Experience in mentoring, coaching the team.

Role & Responsibilities:

We are currently seeking a Senior Engineer to join our Financial Services team, contributing to the design and development of scalable system.

The Ideal Candidate Will Be Able To-

• Take ownership of delivering performant, scalable and high-quality cloud-based software, both frontend and backend side.
• Mentor team members to develop in line with product requirements.
• Collaborate with Senior Architect for design and technology choices for product development roadmap.
• Do code reviews.

Ideal Candidate:

• Thorough knowledge of developing cloud-based software including backend APIs and react based frontend.
• Thorough knowledge of scalable design patterns and message-based systems such as Kafka, RabbitMq, Redis, MongoDB, ORM, SQL etc.
• Experience with AWS services such as S3, IAM, Lambda etc.
• Expert level coding skills in Python FastAPI/Django, NodeJs, TypeScript, ReactJs.
• Eye for user responsive designs on the frontend.

The HR Business Partner (HRBP) acts as a strategic partner to business units, aligning HR strategies with business objectives. The HRBP will work closely with leadership and employees to improve work relationships, build morale, and increase productivity and retention. This role involves supporting and implementing HR initiatives including performance management, organizational development, change management, and workforce planning.

Solution Architect – .NET & Angular

Location: Chandigarh (with frequent onsite Jaipur)

Experience: 10+ years (3+ in architecture roles)

Employment Type: Full-Time (Contractual- 3-5 months)

Role Overview:

We are seeking a hands-on Solution Architect with deep expertise in the .NET and Angular stack to lead technical design and implementation for complex government IT projects. The role is focused on system architecture, integrations, performance, and code quality, working alongside an established project management team.

Key Responsibilities:

• Define and own solution architecture, including component design, data flow, integration patterns, and deployment topology.
• Lead preparation of HLD, LLD, and technical documentation as per government standards.
• Review and guide implementation of modules built on ASP.NET Core, Angular, and MSSQL.
• Ensure compliance with security, scalability, GIGW, and NIC integration standards.
• Conduct code reviews, resolve architectural blockers, and guide the team on tech decisions.
• Collaborate with DevOps on CI/CD, containerization, and infrastructure design.

Technical Skills:

• ASP.NET Core, Angular 12+, TypeScript
• MS SQL Server
• REST API design, JWT/OAuth2, caching, queues
• Govt Cloud
• Knowledge of government integration protocols (Aadhaar, DigiLocker, eOffice, etc.)

Preferred:

• Prior experience in at least 2 government/PSU projects
• Familiarity with STQC, GIGW, data residency, and compliance mandates
• Architecture certifications (e.g., TOGAF, Microsoft Azure)

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.