Lead AI/ML Engineer

4 days ago

Ahmedabad, Gujarat, India Armakuni Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Armakuni (AWS Premier Partner)
, a trusted partner in helping organizations leverage cloud-native technologies to achieve agility, scalability, and resilience.

  • Cloud-Native Transformation :
    Guiding businesses through adopting cloud-native practices to optimize their operations
  • DevOps and Platform Engineering :
    Building robust, secure, and scalable platforms tailored to your unique needs.
  • Data Engineering :
    With our data engineering service you can transform your data into actionable business outcome
  • Gen AI & ML :
    Empower Business strategy with AI-Driven growth through Gen-AI Services
  • Tailored Solutions
    : Providing expert consulting services to deliver long-term success for your teams.

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currently hiring
Lead AI/ML Engineer
to join our team

The following are requirements of skills set:

Skills :
Gen AI, LLMs, AWS Sagemaker, AWS Bedrock, MLOps-Mlflow, Kuberflow

Experience :
5-8 Years

Location :
Ahmedabad

Roles & Responsibilities :

Model Development & Deployment:

  • Design, build, and deploy machine learning models to production environments using AWS SageMaker, AWS Bedrock, and other AWS AI/ML services.
  • Develop and deploy Generative AI applications using various LLMs.
  • Work on data preprocessing, exploratory data analysis (EDA), feature engineering, and model training pipelines using various ML pipelines and AWS services.
  • Implement best practices for model versioning, monitoring, and scaling in production.

Collaboration & Communication

  • Collaborate with data engineers to translate business requirements into ML models and work on data science-related problems as needed.
  • Work with DevOps and Data Engineering teams to deploy and maintain models in production, with a strong understanding of MLOps.
  • Present findings and progress to stakeholders, ensuring alignment with business objectives.

Innovation & Improvement

  • Continuously explore and implement new AWS AI/ML services (e.g., Amazon Rekognition, Comprehend, Lex, Polly, AWS Bedrock, and open-source LLMs) to improve existing solutions.
  • Optimize models for performance, scalability, and cost-effectiveness in the AWS cloud environment.

Documentation & Compliance:

  • Maintain detailed documentation of model architectures, training processes, and deployment pipelines.
  • Ensure compliance with industry standards and data privacy regulations.

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