Founded in 2007, Consilium Software is an AI orchestrated CX Solution Platform for the world’s leading CX. By synthesizing data from over 5 billion annual interactions, our UniSuite™ platform delivers precise, data-driven intelligence that optimizes agent performance and customer satisfaction. We combine a 35-year legacy of reliability with cutting-edge generative and predictive AI, enabling 2,000+ enterprise clients across 50+ countries to automate complex journeys at scale.
Consilium Software operates globally, with its headquarters in Canada, development labs in India, and offices in Malaysia, Taiwan, Indonesia, Thailand, Australia, USA, and Singapore.
To learn more, visit our website: https://www.consiliumsoftware.com/
Press Release : https://www.linkedin.com/pulse/press-release-twimbit-recognizes-consilium-softwares-8ov0c
About Role:
We are looking for a Data Science Engineer (AI) with 2–3 years of hands-on experience in building, deploying, and optimizing machine learning and AI-driven solutions. You will work closely with product, engineering, and business teams to transform data into actionable insights and scalable AI models.
Key Responsibilities
- Design, develop, and deploy machine learning and AI models for real-world business problems
- Perform data collection, cleaning, feature engineering, and exploratory data analysis (EDA)
- Build and optimize predictive, classification, NLP, or recommendation models
- Develop data pipelines for model training, evaluation, and deployment
- Collaborate with software engineers to productionize models (MLOps)
- Monitor model performance, accuracy, drift, and scalability
- Translate business requirements into data-driven solutions
- Document models, methodologies, and findings for stakeholders
Required Skills & Qualifications
- 2–3 years of experience in Data Science, Machine Learning, or AI Engineering
- Strong proficiency in Python (NumPy, Pandas, Scikit-learn)
- Experience with ML frameworks such as TensorFlow or PyTorch
- Solid understanding of statistics, probability, and linear algebra
- Experience working with SQL and relational databases
- Hands-on experience with data visualization tools (Matplotlib, Seaborn, Power BI, or Tableau)
- Familiarity with REST APIs and model integration
- Knowledge of NLP or Speech Analytics is a plus
- Experience with cloud platforms (AWS / Azure / GCP) is an advantage
Preferred / Nice to Have
- Exposure to MLOps tools (MLflow, Kubeflow, Airflow, Docker)
- Experience in real-time analytics or streaming data
- Knowledge of AI ethics, bias, and model explainability
- Experience in contact center analytics, speech intelligence, or CX AI
What We Offer
- Opportunity to work on AI-driven, enterprise-scale products
- Collaborative, innovation-focused work environment
- Learning and growth opportunities in AI, data science, and cloud technologies
- Competitive compensation and benefits
Job Types: Full-time, Permanent
Benefits:
- Cell phone reimbursement
- Flexible schedule
- Health insurance
- Internet reimbursement
- Life insurance
- Paid sick time
- Paid time off
- Provident Fund
- Work from home
Work Location: In person
