Hiring an Experienced Artificial Intelligence Engineer (5+ Years)

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.