Location: Hybrid / Remote / Onsite – Based on client needs
Department: Data Science / Artificial Intelligence
Employment Type: Full-Time
About the Role
We are seeking a passionate and experienced Machine Learning Engineer to join our AI and Data Science team. In this role, you will design, develop, and deploy machine learning models that solve real-world problems and enhance business capabilities. You’ll work closely with data scientists, software engineers, and product teams to bring intelligent solutions into production.
Key Responsibilities
- Design and implement machine learning models and algorithms for classification, regression, clustering,recommendation, and more.
- Build scalable data pipelines and model training workflows.
- Collaborate with cross-functional teams to understand business challenges and translate them into ML solutions.
- Deploy models into production environments and monitor performance.
- Optimize models for accuracy, efficiency, and scalability.
- Conduct experiments, analyze results, and iterate on model improvements.
- Stay current with the latest research and advancements in machine learning and AI.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field.
- 3–6 years of experience in machine learning or applied AI roles.
- Strong programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with data preprocessing, feature engineering, and model evaluation.
- Knowledge of cloud platforms (AWS, Azure, GCP) and ML deployment tools.
- Solid understanding of statistics, probability, and linear algebra.
Preferred Skills
- Experience with deep learning, NLP, or computer vision.
- Familiarity with MLOps tools and practices (e.g., MLflow, Kube-flow).
- Exposure to big data technologies (Spark, Hadoop) and real-time data processing.
- Understanding of ethical AI and model interpretability.
Why Join Us?
- Work on cutting-edge AI projects with real-world impact.
- Be part of a collaborative and innovative team culture.
- Access to continuous learning and development opportunities.
- Competitive compensation and benefits package.