Senior Machine Learning Engineer
PayPal
PythonPyTorchScikit-LearnTensorflow
AI/ML Engineer
A.P. Moller - Maersk
full-time
Posted on:
Location Type: Hybrid
Location: Bangalore • 🇮🇳 India
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
CloudPythonPyTorchScikit-Learn
About the role
- Design, develop, and implement robust, scalable, and optimized machine learning and deep learning models, with the ability to iterate with speed
- Write and integrate automated tests alongside models or code to ensure reproducibility, scalability, and alignment with established quality standards
- Implement best practices in security, pipeline automation, and error handling using programming and data manipulation tools
- Identify and implement the right data-driven approaches to solve ambiguous and open-ended business problems, leveraging data engineering capabilities
- Research and implement new models, technologies, and methodologies and integrate these into production systems, ensuring scalability and reliability
- Apply creative problem-solving techniques to design innovative tools, develop algorithms and optimized workflows
- Independently manage and optimize data solutions, perform A/B testing, evaluate performance and evaluate performance of systems
- Understand technical tools and frameworks used by the team, including programming languages, libraries, and platforms and actively support debugging or refining code in projects
- Contribute to the design and documentation of AI/ML solutions, clearly detailing methodologies, assumptions, and findings for future reference and cross-team collaboration
- Collaborate across teams to develop and implement high-quality, scalable AI/ML solutions that align with business goals, address user needs, and improve performance
Requirements
- BSc/MSc/PhD in computer science, data science or related discipline with 5+ years of industry experience building cloud-based ML solutions for production at scale, including solution architecture and solution design experience
- Good problem solving skills, for both technical and non-technical domains
- Good broad understanding of ML and statistics covering standard ML for regression and classification, forecasting and time-series modeling, deep learning
- 4+ years of hands-on experience building ML solutions in Python, incl knowledge of common python data science libraries (e.g. scikit-learn, PyTorch, etc)
- Hands-on experience building end-to-end data products based on AI/ML technologies
- Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD
- Strong foundation with expertise in neural networks, optimization techniques and model evaluation
- Experience with LLMs, Transformer architectures (BERT, GPT, LLaMA, Mistral, Claude, Gemini, etc.)
- Proficiency in Python, LangChain, Hugging Face transformers, MLOps
- Experience with Reinforcement Learning and multi-agent systems for decision-making in dynamic environments
- Knowledge of multimodal AI (integrating text, image, other data modalities into unified models)
- Team player, eager to collaborate and good collaborator.
Benefits
- Flexible work arrangements
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdeep learningPythonscikit-learnPyTorchneural networksReinforcement LearningTransformer architecturesMLOpsmultimodal AI
Soft skills
problem solvingcollaborationcreativityindependencecommunication
Certifications
BScMScPhD
