Location: Remote

Job Type: Full -Time / Part - Time

Experience Level: Mid / Senior / Experienced

We are seeking an experienced AI/ML Engineer to design, develop, and deploy intelligent

systems that transform data into actionable insights and business value. This role focuses on

building scalable machine learning solutions, predictive models, decision-support systems, and

AI-powered applications that enhance operational efficiency and support data-driven

decision-making.

The ideal candidate combines strong software engineering fundamentals with hands-on

experience developing, deploying, and maintaining AI/ML solutions in production environments.

● Design, develop, and deploy machine learning models and AI-powered applications.

● Build predictive analytics, classification, recommendation, forecasting, and optimization

solutions.

● Translate business requirements into scalable AI/ML systems.

● Improve operational efficiency through intelligent automation and decision-support tools.

● Ensure model accuracy, reliability, explainability, and performance.

● Work with large-scale structured and unstructured datasets.

● Develop data pipelines for model training, validation, and inference.

● Perform feature engineering, data preprocessing, and model evaluation.

● Collaborate with data engineering teams to ensure data quality and availability.

● Deploy machine learning models into production environments.

● Build and maintain scalable model-serving infrastructure.

● Containerize and orchestrate AI services using Docker and Kubernetes.

● Monitor model performance, drift, reliability, and system health.

● Implement CI/CD pipelines for machine learning workflows.

● Integrate AI services into APIs, applications, and enterprise platforms.

● Design scalable cloud-based AI solutions using AWS, Azure, or Google Cloud.

● Ensure security, compliance, and governance requirements are met.

● Optimize model inference performance and infrastructure costs.

● Partner with product managers, software engineers, data engineers, and business

stakeholders.

● Research and evaluate emerging AI/ML technologies and frameworks.

● Drive innovation through experimentation, prototyping, and continuous improvement.

● Provide technical guidance and mentorship to engineering teams when needed.

● Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine

Learning, or a related field.

● 5+ years of software engineering experience.

● 2+ years of experience building and deploying machine learning systems in production

environments.

● Strong programming skills in Python. ● Experience with machine learning frameworks such as TensorFlow, PyTorch,

Scikit-learn, or XGBoost.

● Strong understanding of statistics, machine learning algorithms, and model evaluation

techniques.

● Experience designing and consuming RESTful APIs.

● Experience with relational and non-relational databases.

● Strong knowledge of software development best practices and system design.

● Experience with Large Language Models (LLMs), Generative AI, and

Retrieval-Augmented Generation (RAG).

● Experience with NLP, computer vision, recommendation systems, or predictive analytics.

● Hands-on experience with MLOps tools and frameworks.

● Experience with vector databases and semantic search systems.

● Familiarity with model monitoring, explainability, and governance frameworks.

● Experience working in regulated industries such as healthcare, finance, insurance, or

automotive.

● Knowledge of distributed data processing frameworks such as Apache Spark.