Data Scientist / ML Engineer

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

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)