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

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or related field.
• 2+ years of hands-on experience developing and deploying AI/ML models in production settings.
• Proficiency in Python and major ML frameworks: PyTorch, TensorFlow, and at least one agentic or orchestration library (LangChain, LlamaIndex, etc.).
• Experience building, fine-tuning, and evaluating LLMs, multimodal models, or retrieval-augmented systems.
• Familiarity with MLOps processes—containerization (Docker), cloud AI environments (AWS, GCP, Azure), and code/documentation best practices.
• Strong analytical, problem-solving, and communication skills; ability to collaborate in distributed teams.
• Experience in retail analytics, supply chain, digital transformation, or related business domains is a plus.

What You’ll Get

• Opportunity to build real-world agentic AI systems used by enterprise clients in multiple industries.
• Collaborative global environment and access to cutting-edge AI/ML technologies and infrastructure.
• Flexible remote work setup and career growth opportunities in a fast-paced startup.
• Competitive compensation and performance-driven incentives.