Location:
Chennai/Bangalore/Pune/Hyderabad

• 
  Design and review
  machine learning architecture
  pipelines end-to-end

• 
  Architect scalable models using tools like
  TensorFlow, PyTorch, Scikit-learn

• 
  Drive
  data strategy
  , feature stores, model lifecycle (training, deployment, monitoring)

• 
  Collaborate with data engineering and product teams to align technical goals

• 
  Define standards for
  MLOps, model governance
  , and responsible AI

Must-Have Skills

• 
  8+ years in ML/DL, data science, or AI-related roles

• 
  Expertise in
  Python
  , ML frameworks, distributed computing (Spark, Dask)

• 
  Cloud-native ML deployment on
  AWS SageMaker, Azure ML, GCP Vertex AI

• 
  Knowledge of
  Kubeflow, MLFlow, Airflow
  , Docker/K8s for ML pipelines

• 
  Strong grasp of
  ML lifecycle management, monitoring, and retraining

Job Title: Java Architect

Key Responsibilities

• 
  Own the technical design for backend systems built on
  Java / Spring Boot

• 
  Create solution blueprints, architecture documents, and design patterns

• 
  Guide teams on microservices, containerization, API design, and DevOps

• 
  Conduct code reviews, architecture assessments, and risk mitigation

• 
  Collaborate with product and infrastructure teams for seamless delivery

Must-Have Skills

• 
  Proficiency in
  Java 11+/Spring Boot
  , RESTful APIs, ORM frameworks

• 
  Experience with
  Kubernetes, Docker
  , messaging systems (Kafka, RabbitMQ)

• 
  Strong grasp of
  cloud-native development
  (AWS, Azure, GCP)

• 
  In-depth understanding of
  microservices, DDD, clean architecture

• 
  Performance tuning, scalability, and reliability design

Job Title: Solution Architect

Key Responsibilities

• 
  Analyze requirements and design technical solutions across platforms

• 
  Create architecture roadmaps for applications, integrations, and cloud infrastructure

• 
  Lead
  POCs
  , architecture evaluations, and tech selection

• 
  Align solutions with
  enterprise architecture standards
  and
  security best practices

• 
  Act as a technical bridge between stakeholders, developers, and leadership

Must-Have Skills

• 
  Strong experience in
  application architecture
  , APIs, and system integration

• 
  Familiarity with
  cloud platforms
  (Azure, AWS, GCP)

• 
  Solid understanding of
  data architecture, DevOps practices
  , CI/CD pipelines

• 
  Experience with
  design patterns, scalability, and resilience planning

• 
  Great communication, documentation, and stakeholder management skills