AI and ML Engineer

Job description

We are looking for a skilled AI/ML Engineer to design, build, and deploy intelligent systems that solve real business problems.

The ideal candidate should have proven hands-on experience in machine learning, large language models (LLMs), computer vision, and production-grade AI deployment.

You will work closely with product, engineering, and data teams to develop scalable AI-driven solutions.

Key...

Responsibilities

• Design, develop, and deploy machine learning and AI models for real-world applications

• Build and maintain data pipelines for model training, validation, testing, and monitoring

• Develop and fine-tune Large Language Model (LLM)-based solutions for automation, question answering, content generation, summarization, or decision-support workflows

• Build computer vision solutions using models such as YOLOv8 for object detection, tracking, and image/video analysis

• Analyze structured and unstructured datasets to identify patterns, trends, and optimization opportunities

• Train, evaluate, and optimize models for performance, scalability, and accuracy

• Integrate AI/ML solutions into web, mobile, or backend systems through APIs and production workflows

• Monitor deployed models, improve outputs over time, and ensure reliability in real-world environments

• Collaborate with cross-functional teams to translate business requirements into technical AI solutions

• Document model architecture, training workflows, deployment pipelines, and system behavior

Required Skills and Qualifications

• Strong experience in Python and common AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, or similar

• Proven experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, RAG pipelines, embeddings, and inference workflows

• Proven experience building and deploying computer vision solutions using YOLOv8 models

• Solid understanding of machine learning algorithms, deep learning, and model evaluation techniques

• Experience with data preprocessing, feature engineering, and model optimization

• Familiarity with SQL, databases, and handling structured/unstructured datasets

• Experience deploying AI/ML models into production environments

• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud

• Understanding of APIs, backend systems, and integration workflows

• Strong problem-solving skills with the ability to work independently and deliver production-ready solutions

Preferred Qualifications

• Experience with LLM orchestration frameworks, vector databases, and retrieval-augmented generation (RAG) systems

• Experience with NLP, computer vision, recommendation systems, or predictive analytics

• Familiarity with MLOps tools, Docker, Kubernetes, and CI/CD pipelines

• Experience with image annotation, model retraining, and performance optimization for detection/classification tasks

• Background in building AI-powered dashboards, automation tools, or decision-support systems

What We’re Looking For

• Someone who can move beyond experimentation and build production-ready AI solutions

• A developer with strong practical experience in both LLMs and computer vision, especially YOLOv8-based implementations

• A practical thinker who understands both technical implementation and business impact

• Strong communication skills and the ability to explain complex AI concepts clearly

• A builder who is comfortable working in a fast-paced environment

Employment Type

• Full-time / Part-time / Contract

Experience Level

• Mid-level to Senior-level

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