Aldataset is a leading B2B consulting firm specializing in data-driven solutions. We empower businesses to overcome complex challenges using real-time data, advanced machine learning algorithms, and mathematical models. Our services help managers and executives make smarter, AI-powered decisions in competitive markets.
We are expanding our team and seeking a talented Machine Learning Engineer to design, develop, and deploy cutting-edge ML solutions for our B2B clients.
Key Responsibilities:
- Design and implement machine learning models and deep learning systems tailored to business problems
- Collaborate with data scientists, consultants, and clients to understand requirements and refine ML objectives
- Perform data preprocessing, feature engineering, and model training on large-scale datasets
- Deploy models into production environments and monitor performance for ongoing optimization
- Research and integrate the latest ML techniques (e.g., NLP, computer vision, predictive analytics) to enhance consulting deliverables
- Ensure scalable, efficient, and secure ML pipelines
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field
- 3+ years of experience in machine learning engineering or similar roles
- Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Experience with data processing tools (e.g., Pandas, NumPy) and cloud platforms (e.g., AWS, GCP, Azure)
- Solid understanding of algorithms, statistics, and software engineering best practices
- Experience in B2B environments or consulting is a plus
- Excellent problem-solving skills and ability to work in a collaborative team
What We Offer:
- Competitive salary and performance-based bonuses
- Opportunity to work on impactful B2B projects with real-world business applications
- Professional growth in a dynamic, innovative environment
- Flexible working arrangements (remote/hybrid options available)
- Health insurance and other benefits