AI / ML Engineer

QueueBuster group; Dadri; In loco; INR 2.000.000 - 4.000.000; Tempo pieno

Descrizione del lavoro

QueueBuster group seeks a Senior AI/ML Engineer to lead the design, development, and deployment of intelligent agent-based systems and scalable ML solutions for enterprise applications. You will guide AI/ML development, translate roadmaps into actionable tasks, and collaborate across Product and Engineering teams while advancing Generative AI and Responsible AI practices.

The role requires 3+ years of ML experience, strong Python skills, and hands-on expertise with LangChain, LLMs, and cloud

Competenze

• Bachelor/Master/PhD in CS/AI or related field.
• 3+ years of AI/ML engineering experience.
• Proficient in Python and ML frameworks (TensorFlow, PyTorch).
• Experience deploying ML models and agent-based systems at scale.

Mansioni

• Design, build, and optimise AI/ML models and systems.
• Architect autonomous agents powered by LLMs.
• Integrate agents with enterprise APIs and cloud systems.
• Collaborate with Product and Engineering teams to deliver AI features.

Conoscenze

Python

LangChain

TensorFlow

PyTorch

HuggingFace

NLP

Reinforcement Learning

Multi-agent

Cloud Platforms

MLOps

Generative AI

LLM Fine-tuning

Responsible AI

Open-source

AI Platforms

Product Focus

Formazione

PhD / MS in CS or related

Strumenti

LangChain

AutoGPT

CrewAI

HuggingFace

TensorFlow

PyTorch

AWS

Azure

GCP

Descrizione del lavoro

We are seeking an accomplished Senior AI/ML Engineer to spearhead the design, development, and deployment of intelligent agent-based systems and advanced machine learning solutions. This role combines technical expertise, product-focused innovation, and hands‑on engineering expertise to deliver scalable AI capabilities that power next‑generation enterprise applications.

The candidate will have responsibilities across the following functions:

Strategy and Execution:

• Contribute to AI/ML Development: Design, build, and optimise AI/ML models and systems that align with product and business objectives.
• Technical Roadmap Execution: Translate defined technical roadmaps into actionable engineering tasks, ensuring timely delivery of high-quality solutions.
• Cross‑Functional Collaboration: Work closely with Product, Engineering, and Business teams to implement AI‑driven features and support transformation initiatives.
• Continuous Learning and Innovation: Stay updated on emerging AI/ML technologies and apply them to enhance product capabilities and performance.

AI Agent Development:

• Architect and implement intelligent autonomous agents powered by Large Language Models (LLMs).
• Build agent-based systems using frameworks such as LangChain, AutoGPT, CrewAI, and other emerging technologies.
• Design multi‑agent collaboration frameworks and task orchestration pipelines for complex workflows.

Integration and Scalability:

• Integrate AI agents with enterprise APIs, databases, and external systems.
• Optimise performance, reliability, and scalability of deployed AI solutions.
• Apply best practices in MLOps, CI/CD, and cloud‑native ML workflows.

Innovation and Governance:

• Stay updated on emerging AI/ML trends, including Generative AI, multi‑modal architectures, and reinforcement learning.
• Promote adoption of Responsible AI frameworks, ensuring fairness, transparency, and compliance.
• Document workflows, experiments, and outcomes to support organisational knowledge sharing.

Requirements:

• Bachelor's/Master's/PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• 3+ years of experience in AI/ML engineering.
• Strong programming expertise in Python (experience with LangChain, TensorFlow, PyTorch, Hugging Face is a plus).
• Proven track record of deploying ML models and agent-based systems at scale in cloud environments (AWS, Azure, GCP).
• Solid understanding of multi‑agent architectures, NLP, reinforcement learning, and workflow orchestration.
• Excellent problem‑solving, analytical, and stakeholder management skills.
• Hands‑on experience with Generative AI, LLM fine‑tuning, and advanced deep learning architectures.
• Knowledge of Responsible AI frameworks and bias mitigation techniques.
• Contributions to open‑source AI/ML projects on forecasting and credit scoring preferred.
• Experience in building AI platforms or internal ML tooling for product organisations.