SDE 3

Role: Python Developer (Immediate Joiner)

Location: Gurugram, India (Onsite)

Experience: 4+ years

Company: Mizzle Cloud Pvt Ltd

Working Days: 6 Days( 5 days- WFO, Sat- WFH)

Job Summary

We are seeking a skilled Python Django Developer with expertise in building robust, scalable, and efficient web applications. Must have 3+ years of core work experience. The ideal candidate will have hands-on experience with RabbitMQ, Redis, Celery, and PostgreSQL to ensure seamless background task management, caching, and database performance.

Key Responsibilities

• Develop, maintain, and enhance Django-based web applications and APIs.
• Design and implement message broker solutions using RabbitMQ to manage asynchronous communication.
• Integrate Redis for caching and session storage to optimize performance.
• Implement and manage task queues using Celery for background processes.
• Work with PostgreSQL for database design, optimization, and query tuning.
• Collaborate with front-end developers, DevOps engineers, and stakeholders to deliver high-quality software solutions.
• Write clean, modular, and well-documented code following best practices and standards.
• Debug, troubleshoot, and resolve issues across the application stack.
• Participate in code reviews, system design discussions, and team meetings.
• Ensure scalability, reliability, and security of applications.

Technical Skills:

• Must have minimum 4+ years of relevant work experience.
• Strong proficiency in Python and Django framework.
• Experience with message brokers, particularly RabbitMQ.
• Familiarity with Redis for caching and session management.
• Hands-on experience with Celery for distributed task queues.
• Proficiency in PostgreSQL, including database design and optimization.
• Knowledge of RESTful API design and development.
• Understanding of Docker and containerized applications.

Preferred Skills:

• Experience with CI/CD pipelines.
• Familiarity with cloud platforms (AWS, GCP).
• Knowledge of Django ORM and its optimizations.
• Basic understanding of front-end technologies (HTML, CSS, JavaScript).

Soft Skills:

• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
• Ability to work in an agile environment and adapt to changing requirements.

Educational Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

Job Description – AI Tech Lead

Location: Bangaluru

Experience: 10+ Years

Function: AI Center of Excellence (CoE)

Reporting To: Senior Vice President – CX / Head of AI CoE

We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.

The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.

2. Key Responsibilities

A. Solution Architecture & Strategy

• Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
• Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
• Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
• Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.

B. Project Delivery & Execution Leadership

• Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
• Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
• Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
• Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.

C. Technical Hands-on Expertise

• Architect and build complex AI systems involving:
• Large Language Models (LLMs) & GenAI apps
• Agentic workflows and autonomous task orchestration
• Predictive modeling, forecasting, optimization, and statistical modeling
• Knowledge graphs, vector databases, embeddings
• Data engineering pipelines (ETL/ELT) and cloud-native architectures
• Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.

D. Team Leadership & Mentoring

• Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
• Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
• Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.

E. Stakeholder & Client Management

• Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
• Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
• Support pre-sales with solutioning, effort estimation, and technical presentations.

3. A. Technical Skills

• Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
• Hands-on experience building applications using:
• LLMs, RAG, fine‑tuning, prompt engineering
• Autonomous AI agents & multi-agent systems
• Predictive ML models (Regression, Classification, Clustering, NLP, CV)
• Expertise in microservices architecture, API design, scalable deployments.
• Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
• Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.

B. Functional & Domain Skills

• Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
• Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.

C. Leadership & Soft Skills

• Strong team leadership and mentoring experience.
• Excellent communication, client-facing abilities, and stakeholder management skills.
• Strong decision-making, problem-solving, and delivery ownership.

4. Qualifications

• Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
• 10–15 years total experience with at least 5+ years leading AI/ML projects.
• Demonstrated success delivering large-scale AI programs in enterprise environments.
• Certifications in AI/ML, cloud, or architecture (preferred).

Experience in Core Java and Spring Boot.

 • Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns. 

• Should have the ability to analyze, design, develop and test complex, low-latency clientfacing applications. 

• Good development experience with RDBMS.

 • Good knowledge of multi-threading and high-performance server-side development. • Basic working knowledge of Unix/Linux. 

• Excellent problem solving and coding skills. 

• Strong interpersonal, communication and analytical skills. 

• Should have the ability to express their design ideas and thoughts

• Strong experience in Core Java, Multi-Threading, data structures (List/Map/Set) and unit testing with (Junit, Mockito)
• Strong experience with Spring Framework (Spring MVC, Spring REST, Spring Data), ORM frameworks (JPA, Hibernate) and RDBMS (Oracle/MySQL/Postgres)
• Strong experience in applying Object-Oriented design principles and Design Patterns
• Good knowledge of Multi-Tier architecture, Micro Services architecture and Service Oriented Architecture 
• Exposure to AWS Cloud, NoSQL Database (Mongo, Cassandra), Message Broker (Active
• MQ/RabbitMQ/Apache Kafka) and Big Data Technologies (Hadoop/Hive/Spark)
• Additionally, must possess capability to review code, produce technical specification document
• and knowledge of code quality tools (PMD/FindBugs/Sonar)

Job Description

• Java engineer with 6-8 years of experience , person with strong Java, spring core, Springboot, Rest API , Microservices hands-on experience.
• Knowing Kafka is a plus.
• Well versed with CICD, Agile processes . good attitude, good communication skills.

Role

• Code development, testing, team coordination,
• Open to work on non-tech activities along with coding also.
• Should be ready and flexible to work from Impetus office and customer office as per the requirement of project.

What you need to have: