Senior AI-ML Engineer

Myridius x Aethereusbelagavi, India

7 days 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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Senior Engineer • belagavi, India

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