Senior Principal

2 weeks ago


Mumbai, Maharashtra, India Riverforest Connections Private Limited Full time

Role & Responsibilities:

As a Senior Principal - AI Architect at Riverforest Connections Private Limited, you will be responsible for managing various stakeholder relationships to gain consensus on complex technical solutions. Your expertise in architecting, designing, and implementing solutions both on-premises and in the cloud will be invaluable to our team.

Key Responsibilities:

  • Communication & Stakeholder Management: Strong communication skills with extensive experience in managing various stakeholder relationships to gain consensus on complex technical solutions.
  • Architecting & Designing Solutions: Deep expertise in architecting, designing, and implementing solutions both on-premises and in the cloud.
  • AI Frameworks & Model Deployment: Mastery of the latest AI frameworks with hands-on experience deploying and fine-tuning generative models, including Transformers.
  • Model Fine-Tuning & Customization: In-depth experience fine-tuning and customizing pretrained AI models with a solid understanding of AI patterns and best practices in data engineering and large-scale data processing.
  • Tools & Platforms: Proficient with a wide range of AI/ML tools and platforms, including Amazon SageMaker, Azure ML Studio, Azure Data Lake, Google BigQuery, AWS S3, Databricks, and Snowflake.
  • Programming Skills: Advanced programming skills in Python with the ability to analyze complex AI scenarios and provide strategic recommendations using Python-based services.

Candidate Profile:

We are seeking a post-graduate with 15 years of experience in GenAI, AI, ML, Architecting, Consulting, and the latest AI frameworks with hands-on experience in deploying and fine-tuning a variety of generative models.

Required Skills:

  • AI & ML Tools: Hands-on experience with Databricks, MLFlow, and various data science platforms.

Certifications:

Relevant certifications in AI/ML at the Architect/Lead level.

Location:

Mumbai, Pune, Bangalore, Chennai, Hyderabad, or Noida.



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