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Senior AI-ML Engineer

Senior AI-ML Engineer

Myridius x Aethereusmohali, gujarat, in
1 day ago
Job description

About Us

Aethereus is now part of Myridius, formerly known as RCG Global Services. This strategic integration combines Aethereus’ expertise in cutting-edge solutions with Myridius’ legacy of delivering transformative business outcomes. At Aethereus, we are passionate about outcomes. We are a team of strategists, designers, architects and tinkerers who are passionate about business outcomes led by technology platforms.

We are a Salesforce boutique focused on US, Europe, Australia and India. We are one of the select few players who approach Salesforce engagements with twin focus on vertical specific and Industry 4.0 driven propositions. Our team of professionals have rich experience in Salesforce platform and deep connects in the Salesforce ecosystem and work on the cutting edge clouds, often closely with Salesforce. We are agile and nimble and constantly looking to deliver value to our clients - from rapid Salesforce implementations to improving the ROI from existing investments.

Experience Required

8-10 years in ML with recent experiences in AI engineering with focus on production-grade implementations.

Role Overview

We're seeking a seasoned AI / ML Engineer to architect and deploy advanced generative AI solutions using AWS Bedrock. You'll work independently with minimal supervision, engage directly with clients, and drive technical excellence in cutting-edge AI initiatives.

Key Responsibilities

  • Design and implement production-ready generative AI solutions using AWS Bedrock and related services
  • Build and deploy agentic AI frameworks and multi-agent systems
  • Lead client-facing technical discussions, requirement gathering, and solution presentations
  • Architect end-to-end ML pipelines from prototyping to production deployment
  • Evaluate and integrate latest LLMs, RAG architectures, and prompt engineering techniques
  • Mentor junior engineers and establish best practices for AI / ML development.

Required Skills

AWS & Cloud

  • Extensive hands-on experience with AWS Bedrock (Claude, Titan, Llama models)
  • Strong knowledge of AWS SageMaker, Lambda, S3, EC2, and other ML services
  • Experience with cloud-based ML infrastructure and cost optimization

    • Generative AI & LLMs

  • Deep expertise in latest LLM technologies and foundation models
  • Proven track record with RAG (Retrieval Augmented Generation) systems
  • Advanced prompt engineering and fine-tuning experience
  • Knowledge of vector databases (Pinecone, Weaviate, OpenSearch)

    • Agentic Frameworks

  • Hands-on experience with any of the LangChain, LlamaIndex, AutoGen, Google ADK, or OpenAI SDK.
  • Building multi-agent systems and autonomous AI workflows
  • Tool integration and function calling implementations

    • Core ML / AI

  • Strong foundation in machine learning algorithms and deep learning
  • Experience with PyTorch, TensorFlow, Hugging Face Transformers
  • MLOps practices : CI / CD, model versioning, monitoring, and governance

    • Software Engineering

  • Proficient in Python with clean, maintainable code practices
  • API development (REST / GraphQL) and microservices architecture
  • Version control (Git), containerization (Docker / Kubernetes)

    • Soft Skills

  • Excellent communication skills for client interactions and technical presentations
  • Self-driven with ability to work independently and make architectural decisions
  • Strong problem-solving mindset with business acumen
  • Comfortable navigating ambiguity and driving projects to completion

    • Preferred Qualifications

  • Experience with enterprise AI deployments and compliance requirements
  • Knowledge of AI safety, responsible AI practices, and bias mitigation
  • Contributions to open-source AI / ML projects
  • Publication record or speaking engagements in AI / ML domain
  • AWS certifications (ML Specialty, Solutions Architect)

    • What We Offer

  • Opportunity to work on cutting-edge AI projects
  • Direct client engagement and visibility
  • Collaborative environment with innovation focus
  • Professional development and certification support
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