Cloud AI Solutions Architect

24 hours ago

Hyderabad, Telangana, India beBeeMLOps Full time ₹ 8,00,000 - ₹ 10,00,000

About Company :

We balance innovation with a culture that's open and friendly, backed by a well-established parent company known for its ethical reputation. We help customers achieve outcomes that benefit both business and society by unlocking the value of their data and applications.

About Client:

Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India. It generates annual revenue of over $4.29 billion (₹35,517 crore) and has a workforce of around 86,000 professionals operating in more than 40 countries.

The company operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, it achieved a net profit of $553.4 million (₹4,584.6 crore) and recorded a strong order inflow of $5.6 billion, highlighting growing demand across its service lines.

Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries.

Job Title: Sr. MLOps Specialist – AWS Cloud

Location: Hyderabad

Type: Contractor

About ValueMomentum – Advanced Analytics Center

ValueMomentum has established an Advanced Analytics Center to strengthen AI and analytics capabilities in the Property & Casualty (P&C) Insurance sector. This unit focuses on revolutionizing insurance with innovative AI solutions, fostering reusability, experimentation, and capability development.

Our environment is dynamic, collaborative, and innovation-driven, comprising data scientists, analysts, and consultants. The Advanced Analytics team delivers cutting-edge AI/analytics solutions across the P&C value chain – Product/Underwriting, Claims, Distribution, and Enterprise IT.

Job Summary:

We're seeking an experienced Sr. MLOps Specialist with deep expertise in AWS services and machine learning deployment best practices. The role involves designing, building, and maintaining scalable, secure, and automated ML pipelines. You'll bridge the gap between data science and engineering teams, ensuring ML models are production-ready and efficiently managed throughout their lifecycle.

Key Responsibilities

  1. Design & Implement MLOps Pipelines
  2. Infrastructure & Cloud Management
  3. Monitoring, Logging & Observability
  4. Governance & Compliance
  5. Collaboration & Enablement

Required Skills & Qualifications

  • 8+ years experience in DataOps, DevOps, or ML Engineering with focus on cloud-based ML pipelines.
  • Strong expertise with AWS services, including Amazon SageMaker (training, deployment, Pipelines, Model Monitor)
  • Proficiency in Python, Bash, scripting for automation.
  • Hands-on with CI/CD tools (Jenkins, GitHub Actions, CodeBuild).
  • Solid understanding of ML lifecycle (feature engineering, training, deployment, monitoring).

Benefits

As an experienced Sr. MLOps Specialist, you will have the opportunity to work with a dynamic team, delivering cutting-edge AI/analytics solutions across various industries.

Others

You will be responsible for designing, building, and maintaining scalable, secure, and automated ML pipelines using AWS services and machine learning deployment best practices.

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