PYTHON DATA ENGINEER)_URGENT HIRING

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact me on nine three one six one two zero one three two

Role Overview

We are hiring a Principal Datacenter Backend Developer to architect and build highly scalable, reliable backend platforms for modern data centers. This role owns control-plane and data-plane services powering orchestration, monitoring, automation, and operational intelligence across large-scale on-prem, hybrid, and cloud data center environments.

This is a hands-on principal IC role with strong architectural ownership and technical leadership responsibilities.

Key Responsibilities

• Own end-to-end backend architecture for datacenter platforms (orchestration, monitoring, DCIM, automation).
• Design and build high-availability distributed systems at scale.
• Develop backend services using Java (Spring Boot / Micronaut / Quarkus) and/or Python (FastAPI / Flask / Django).
• Build microservices for resource orchestration, telemetry ingestion, capacity and asset management.
• Design REST/gRPC APIs and event-driven systems.
• Drive performance optimization, scalability, and reliability best practices.
• Embed SRE principles, observability, and security-by-design.
• Mentor senior engineers and influence technical roadmap decisions.

Required Skills

• Strong hands-on experience in Java and/or Python.
• Deep understanding of distributed systems and microservices.
• Experience with Kubernetes, Docker, CI/CD, and cloud-native deployments.
• Databases: PostgreSQL/MySQL, NoSQL, time-series data.
• Messaging systems: Kafka / Pulsar / RabbitMQ.
• Observability tools: Prometheus, Grafana, ELK/OpenSearch.
• Secure backend design (OAuth2, RBAC, audit logging).

Nice to Have

• Experience with DCIM, NMS, or infrastructure automation platforms.
• Exposure to hyperscale or colocation data centers.
• AI/ML-based monitoring or capacity planning experience.

Why Join

• Architect mission-critical platforms for large-scale data centers.
• High-impact principal role with deep technical ownership.
• Work on complex, real-world distributed systems problems.

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).

Job Location

Bengaluru, India

Job Type

Contractual Position with Potential for Full-Time Employment Based on Performance Review

Experience Required

4 years of experience in Java & Technologies

Company Description

Welcome to Unitalks Technologies! We are a managed services provider that helps our clients hire top-quality talent. We are hiring for one of our clients in Bengaluru, more details will be provided about the company and culture later in the process.

Role Description

This is a contract role for a Senior Java Software Engineer. As a Senior Java Software Engineer, you will be responsible for designing and developing software solutions, building and maintaining Microservices architectures, and programming using Spring Boot. This role is based in Bengaluru and is an on-site position.

Qualifications

• Software Development and Programming skills
• Experience with Microservices and the Spring Boot
• Proficiency in Java, SQL and UNIX
• Good in deployment on different platforms like AWS, Azure, etc.
• Strong problem-solving and analytical skills
• Excellent communication and teamwork abilities
• Bachelor's or Master's degree in Computer Science or a related field
• Experience with Agile methodologies and CI/CD pipelines
• Knowledge of cloud platforms and containerization technologies is a plus

Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.

KEY RESPONSIBILITIES OF THE POSITION :

• Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
• Solid understanding and experience of deep learning architectures and algorithms
• Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
• Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
• Should have experience of 2-3 production implementations of machine learning projects.
• Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
• Work with business analysts/consultants and other necessary teams to create a strong solution
• Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
• Should developing solutions using python in AI/ML projects
• Should be able to train and build a team of technical developers
• Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
• Desired to have knowledge on any of the cloud solutions such as Azure or AWS
• Desired to have knowledge on any of container technology such as Docker
• Should be able to build strong relationships with project stakeholders

Keywords:

• Python
• Artificial Intelligence
• Machine Learning
• AWS
• Django
• NLP

We are looking for a Java Developer with experience in building high-performing, scalable, enterprise-grade applications.

You will be part of a talented software team that works on mission-critical applications. Java developer roles and responsibilities include managing Java application development while providing expertise in the full software development lifecycle, from concept and design to testing.

Java developer responsibilities include designing, developing and delivering high-volume, low-latency applications for mission-critical systems.

Experience : 2+ years

Location : Mumbai (WFO only) Initial few months work from home

Notice Period : 0 to 30 days ( Immediate joiners are preferred)

Roles & Responsibilities :

(This role encompassing both API engineering using Java stack and web development

Experience in designing, developing, testing and successfully deploying critical and complex projects.)

• Contribute in all phases of the development lifecycle
• Write well designed, testable, efficient code
• Ensure designs are in compliance with specifications
• Prepare and produce releases of software components
• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

· Build reusable code and libraries for future use

Required Skill set :

· Java background with a minimum of 3+ years experience in Java technologies.

· Experience in designing and developing application backend using frameworks like Spring Boot, Spring MVC, Jersey, JPA, Hibernate, SQL, Linux, JSON, XML, OAuth etc.

· Well & good if has Experience with frontend technologies

· Experience with both SQL and NoSQL database systems and writing SQL queries

· Strong experience building, designing, and consuming Restful web services.

· Exposure of Cloud Infrastructure - AWS and Alibaba Cloud

· Excellent understanding of ORM and Database concepts

· Experience with developing unit test code using JUNIT, Power Mock/EasyMock/Mockito etc.

· Experience with Git, Maven and CI/CD pipelines to deploy on Cloud applications

· Experience & knowledge on Micro services Architecture and API development using Java, spring, Spring Boot

· Experienced in roles conducting requirements gathering, writing user stories, creating application design and using design patterns

· Good knowledge on credentials/secrets management and data encryption techniques

· Good knowledge on coding standards, design patterns, unit testing.

· Good hands-on BitBucket/Github is preferred.