Data Scientist / ML Engineer

Job Summary

At Xyqo, we build cutting-edge AI solutions that help businesses unlock the true potential of data. We’re looking for a Data Scientist / ML Engineer who is passionate about turning raw data into intelligent models that drive real-world impact.

In this hybrid role, you’ll be responsible for designing, building, and deploying machine learning models that power Xyqo AI-driven platforms across various industries. You will collaborate closely with engineers, product managers, and designers to bring smart, scalable solutions to life.

Key Responsibilities

• Analyze complex datasets to uncover trends, patterns, and opportunities for AI solutions

• Design, develop, and train machine learning models using Python, TensorFlow, PyTorch, or similar frameworks.

• Perform feature engineering, model selection, hyperparameter tuning, and validation

• Work on end-to-end ML pipelines, including data preprocessing, model deployment, and monitoring

• Collaborate with software engineers to integrate models into production-ready systems

• Conduct A/B testing and performance evaluations to optimize model accuracy and efficiency

• Communicate findings and insights clearly to both technical and non-technical stakeholders

• Stay current with the latest advancements in AI/ML research and apply them to Xyqo projects

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field

• 2–5 years of professional experience in machine learning, data science, or a similar role

• Strong coding skills in Python (and libraries like pandas, NumPy, scikit-learn, etc.)

• Proficiency in at least one deep learning framework (e.g., TensorFlow, PyTorch, Keras)

• Experience working with structured and unstructured data, including large-scale datasets

• Solid understanding of ML algorithms, statistics, and model evaluation metrics

• Familiarity with cloud services (AWS, GCP, or Azure) for AI deployment

• Experience with NLP or Computer Vision projects

Perks & Benefits

• Competitive salary + performance-based bonuses

• Remote-first work environment (with optional hybrid spaces)

• Annual learning & development stipend

• Opportunities to work on high-impact, global AI projects

• Access to exclusive AI/ML research and training sessions

• Paid time off + company-wide wellness days

• Collaborative, inclusive team culture focused on innovation and growth

• Health and wellness benefits (country-specific)

If you're excited about solving complex problems with machine learning, enjoy working in a dynamic and forward-thinking environment, and want to help shape the future of AI — we'd love to hear from you.