Job Title:
AI Developer – Big Data Analytics & Machine Learning
About the Role
We are seeking an experienced AI Developer with strong expertise in Big Data analytics, machine learning, and AI-driven solutions to join our technology team.
The ideal candidate will be responsible for designing, developing, and deploying AI-powered data models, working with large datasets, and enabling data-driven decision-making for business growth and operational excellence.
Key Responsibilities
- AI Model Development – Design, build, and deploy machine learning and deep learning models for predictive analytics, classification, clustering, recommendation systems, and anomaly detection.
- Big Data Processing – Develop and maintain pipelines for processing large-scale datasets from multiple sources using tools like Apache Spark, Hadoop, or cloud-based data platforms.
- Data Engineering – Work closely with data engineers to ensure data quality, accessibility, and scalability for AI applications.
- Model Evaluation & Optimization – Conduct experiments, optimize hyperparameters, and improve model performance for accuracy, efficiency, and scalability.
- Integration – Collaborate with software engineers to integrate AI models into production systems and applications.
- Data Visualization & Reporting – Create dashboards and visual analytics to present insights to stakeholders using tools such as Power BI, Tableau, or custom-built solutions.
- Research & Innovation – Keep abreast of emerging AI/ML technologies, frameworks, and best practices to ensure continuous improvement in solutions.
Requirements
Education & Experience:
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related field.
- 3+ years of hands-on experience in machine learning model development and big data analytics.
Technical Skills:
- Proficiency in Python, R, or Scala for data science and machine learning development.
- Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost).
- Strong knowledge of big data platforms (Apache Spark, Hadoop, Databricks) and data pipelines (Airflow, Kafka, etc.).
- Solid understanding of SQL and NoSQL databases.
- Experience with cloud platforms (AWS, Azure, or GCP) for AI/ML deployments.
- Familiarity with MLOps practices (CI/CD for ML, model versioning, monitoring).
Soft Skills:
- Strong analytical and problem-solving skills.
- Excellent communication skills to convey technical concepts to non-technical stakeholders.
- Ability to work collaboratively in a cross-functional environment.
Preferred Qualifications
- Experience with natural language processing (NLP), computer vision, or reinforcement learning.
- Knowledge of real-time data analytics and streaming data pipelines.
- Exposure to business intelligence tools and advanced statistical analysis.
What We Offer
- Competitive salary and performance-based bonuses.
- Opportunity to work on cutting-edge AI and big data projects with real-world impact.
- Professional development support, including training in emerging AI/ML technologies.
- Collaborative and innovative work culture.
Job Types: Full-time, Permanent, Contract
Contract length: 60 months
Pay: From $1,000.00 per month
Benefits:
Work Location: Remote