Tech Stack
AWSAzureBigQueryCloudGoogle Cloud PlatformHadoopJavaPythonPyTorchScikit-LearnSparkSQLTensorflow
About the role
- Design, develop, and implement machine learning models and algorithms to solve complex problems
- Preprocess and analyze large datasets to extract meaningful insights
- Build scalable ML pipelines and ensure data quality
- Deploy ML solutions into production environments using appropriate tools and frameworks
- Monitor and evaluate the performance of deployed models
- Collaborate with data scientists, software engineers, and product teams to integrate ML models into products and services
- Mentor and support junior data scientists or engineers
- Drive business insights and improve customer experiences through AI/ML solutions
Requirements
- Minimum of 5 years of relevant work experience
- Bachelor's degree or equivalent experience (MSc preferred)
- Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn
- Familiarity with cloud platforms (AWS, Azure, GCP)
- Hands-on experience with Python or Java
- Experience with Spark, Hadoop, BigQuery, SQL
- Comprehensive understanding of machine learning algorithms and explainable AI techniques
- Expertise in at least one: Computer Vision, Graph Mining, Natural Language Processing (NLP), or Generative AI (GenAI)
- Experience developing machine learning models at scale from inception to business impact
- Experience designing ML pipelines (model versioning, deployment, testing, monitoring)
- Experience mentoring and supporting junior data scientists or engineers
- Experience working in a multi-cultural and multi-location organization (advantageous)
- Strong communication skills; team player; delivery- and detail-oriented
- Flexible work environment (balanced hybrid model: 3 days in office, 2 days remote)
- Employee share options
- Health insurance
- Life insurance
- Wellness resources for physical and mental health
- Benefits and resources to support financial, physical, and mental wellbeing
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdata preprocessingML pipelinesmodel deploymentmodel performance evaluationPythonJavaTensorFlowPyTorchscikit-learn
Soft skills
mentoringcollaborationcommunicationteam playerdelivery-orienteddetail-oriented
Certifications
Bachelor's degreeMSc