AI / ML Engineer

AI / ML Engineer

About DataAlchemy.ai

DataAlchemy.ai delivers practical, secure, and transformational AI solutions that simplify complex technology and drive measurable business impact. We offer comprehensive services—including AI strategy, digital transformation consulting, high-quality data labeling, LLM model training, sophisticated data engineering, and scalable deployment—empowering enterprises to automate decision-making and unlock new value.

Role Overview

We’re seeking a talented AI / ML Engineer to design, build, and deploy cutting-edge agentic AI and machine learning applications for our clients and internal platforms. In this hands-on engineering role, you’ll have the opportunity to experiment with the latest LLMs, multimodal models, and agent frameworks while contributing directly to production systems that serve global enterprise customers.

Key Responsibilities

• Develop, test, and deploy agentic AI and ML models for a variety of business use cases—including autonomous agents, planning, retrieval, and decision automation.
• Collaborate with technical leads and client stakeholders to analyze requirements, translate them into model specifications, and deliver high-impact solutions.
• Build and optimize AI / ML pipelines : data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
• Contribute to scalable architectures using PyTorch, TensorFlow, LangChain, LlamaIndex, and related frameworks.
• Apply MLOps best practices for reproducibility, CI / CD, version control, and model lifecycle management.
• Integrate external APIs, third-party libraries, and agentic components into robust enterprise solutions.
• Document technical designs, workflows, and deployment patterns for cross-team sharing and onboarding.
• Stay up-to-date with the latest developments in generative AI, LLMs, multimodal reasoning, retrieval-augmented generation, and agent systems.

Qualifications

What You’ll Get