MACHINE LEARNING ENGINEER SKILLS, EXPERIENCES, AND JOB REQUIREMENTS
Published: Mar 10, 2026. The Machine Learning Engineer has experience developing and deploying scalable machine learning systems using Python, modern ML/DL frameworks, big data technologies, and cloud platforms. This role requires strong knowledge of machine learning theory, statistics, data engineering, distributed systems, and software engineering best practices such as CI/CD and MLOps. The engineer also demonstrates the ability to build robust production-ready models, work with large and diverse datasets, and collaborate effectively to deliver data-driven solutions.
Essential Hard and Soft Skills for a Machine Learning Engineer Resume
- Machine Learning
- Deep Learning
- AWS Cloud
- Data Pipelines
- MLOps Practices
- Model Deployment
- Computer Vision
- Natural Language Processing
- Big Data Processing
- Kubernetes Orchestration
- Cross-Functional Collaboration
- Stakeholder Communication
- Technical Leadership
- Problem Solving
- Strategic Thinking
- Research Mindset
- Agile Adaptability
- Mentorship
- Business Alignment
- Continuous Learning
Summary of Machine Learning Engineer Knowledge and Qualifications on Resume
1. BS in Software Engineering with 6 years of Experience
- Experience developing and deploying machine learning systems into production
- Strong experience working with a variety of relational SQL and NoSQL databases
- Strong experience working with big data tools (Hadoop, Spark, Kafka, etc.)
- Experience with at least one cloud provider solution (AWS, GCP, Azure)
- Strong experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Industry experience building innovative end-to-end Machine Learning systems
- Ability to quickly prototype ideas and solve complex problems by adapting creative approaches
- Experience working with distributed systems, service-oriented architectures and designing APIs
- Strong knowledge of data pipeline and workflow management tools
- Expertise in standard software engineering methodology, e.g., unit testing, test automation, continuous integration, code reviews, design documentation
2. BS in Computer Science with 5 years of Experience
- Expertise in Python and its ecosystem
- Detailed understanding of machine learning, software engineering and distributed computing basics
- Experience with DBMS and different data models (relational, columnar, document, etc.)
- Competency in building HTTP-based APIs for distributed systems
- Experience with machine learning tools such as Pandas, Numpy, Scikit-Learn, TensorFlow, PyTorch, DeepAR, Prophet, Catboost, XGBoost, Spark, PySpark and tasks such as Time Series forecasting, Computer Vision, Recommendation Systems
- Understanding how web applications are built and organized
- Experience with continuous integration and continuous development
- Strong Python skills
- Background in Machine Learning with proficient knowledge of MLOps tools, e.g., Kubernetes, Django, Docker
- Experience transforming research prototypes into robust and scalable products running on cloud infrastructure or edge devices
- Good soft and communication skills
3. BS in Electrical Engineering with 7 years of Experience
- Strong ability to problem solve, apply lateral thinking and work autonomously
- Must have tertiary qualifications in a relevant field (e.g., computer science, data science, mathematics, statistics)
- Demonstrate statistical inference and decision intelligence with quantifiable data-driven evidence
- Demonstrate working knowledge of the main components of cloud-based data environments
- Demonstrate the application of SQL fundamentals to support the exploration and profiling of data
- Demonstrate solid object orientated python coding including classes, inheritance, functions, loops, dictionaries, and lists
- Demonstrate manipulation of Spark dataframes
- Production experience in the implementation of feature engineering and data pre-processing techniques
- Understand and apply the fundamentals of supervised classification and prediction (regression) models and unsupervised clustering models
- Must have created models using deep neural networks and understand the theory of the network used
- Demonstrated the principles of model training, testing, generalisation, and validation techniques based on the type of model being deployed
- Able to design and implement ML/AI Ops, version control, CI/CD pipelines and automation of test plans
4. BS in Computer Engineering with 3 years of Experience
- Experience and eagerness for further development in camera and/or LiDAR-based perception algorithms
- Strong Interpersonal skills, including proactive deadline management and pointed stakeholder communications
- Ability to program in Pytorch, Python,
- Ability to research and implement the latest cutting-edge AI technologies
- High proficiency in fundamental technical skills (Programming language like Java/Python/R database language like SQL
- Strong UNIX background
- Working knowledge of Hadoop, Map-Reduce, Hive, Pig)
- Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, PyTorch, etc)
5. BS in Mathematics with 5 years of Experience
- Experience doing quantitative analysis and using complex statistical models
- Strong programming and data analytics skills
- Expert understanding of git, Python and at least one deep framework such as TensorFlow / Keras or PyTorch
- Up-to-date knowledge of machine learning techniques, general deep learning and predictive modelling
- Strong understanding of Google Cloud Platform, DevOps and software development tools
- Expertise in Data Ingestion / Processing and Modelling
- Able to express complex data needs and understand data quality-cleansing processes and methods
- Extensive corporate data knowledge
- Aware of critical company business processes and underlying data
- Fluency in SQL for writing efficient queries on large datasets
- Good knowledge of the Linux operating system
- Ability to write robust code in Python, Java and R
6. BS in Information Technology with 4 years of Experience
- Strong computer science fundamentals, algorithms, and data structures background
- Experience programming in Python
- Strong knowledge of ML/DL fundamentals and techniques
- Proven experience in applied ML/DL, computer vision, natural language processing, and/or audio processing
- Experience working with any of the following ML/DL frameworks: Tensorflow, Pytorch
- Experience working in agile teams following SCRUM or KANBAN
- Processes and applications of artificial perception in robotics (UGV and/or UAV)
- Previous experience working in start-ups
7. BS in Applied Statistics with 8 years of Experience
- Deep knowledge in at least one field of ML through graduate degrees, or through equivalent professional experience
- Proficient in software development and understanding of coding best practices
- Familiarity with code reviewing, version control systems, good code hygiene, documentation, etc.
- Good written and oral communication skills in communicating with a mixed technical and non-technical audience
- Experienced in working within a team to successfully deliver an ML solution
- Experience in solving problems in healthcare or biomedical settings
- Experience in working with varied data modalities, including time series, images, natural language text, genomics, speech, etc.
- Cloud-based development experience
- Experience in working with problems in both data-deficient and large-scale data settings
- Experience in working within cross-disciplinary and cross-functional teams
- Demonstrated track record of developing novel, state-of-the-art ML methods through peer-reviewed publications or patent filings
- Experience in ML and software development
8. BS in Machine Learning with 5 years of Experience
- Good experience as a Machine Learning or backend Software Engineer
- Strong experience with Python and standard Python ML libraries (PyTorch, TensorFlow, Numpy, Pandas)
- Knowledge of Data Engineering and Machine Learning
- Ability to work in an international environment and communicate in English
- Strong team spirit
- Experience in DevOps and MLOps
- Experience working with distributed frameworks (Spark, Dask, etc.)
- Knowledge in ML / DL (e.g., convolutional neural networks, generative models, recurrent neural networks, transformers), AI-based recommender systems, data mining and clustering, and predictive modelling to apply these techniques on real-world problems
- Ability to do exploratory analysis on large volumes of data and find key descriptive and inferential properties
- Strong skills in software engineering practices with expertise in applicable programming languages and frameworks such as Python, C++, scikit-learn, XGBoost, Pytorch and Tensorflow, respectively
9. BS in Robotics Engineering with 6 years of Experience
- Experience in C++(main language)/Python languages
- Basic practical experience in machine learning/data science
- Knowledge of Windows and Linux development environments
- Knowledge of Intel development tools and libraries
- Knowledge of development on GPU
- Excellent coding skills and software development experience
- Must be proficient with Python, Spark or Scala
- Strong background in Machine Learning
- Knowledge of retrieval and ranking (leveraging deep learning)
- Able to build machine learning models in Python (with some work in Spark)
- Excellent communication/ collaboration skills
10. BS in Computational Physics with 4 years of Experience
- Experience as a machine learning engineer
- Experience in Python programming
- Familiarity with Sklearn, Tensorflow, Keras, or Pytorch
- Experience in database and SQL
- Good to have an understanding of the AWS ecosystem (MWAA, Redshift, Athena, S3, Glue, etc.)
- Understanding of data warehouse and data lake
- Understanding of CI/CD pipeline (Jenkins, Gitlab, Github, etc.)
- Superb analytical and problem-solving abilities
- Great communication and collaboration skills
- Excellent time management and organizational abilities
11. BS in Electrical Engineering with 7 years of Experience
- Passion for green technology
- Excellent communication and organization skills
- Independent and proactive, especially in building new products
- Prior experience with Python and Python unit and integration tests
- Prior experience with a Python machine learning library, such as TensorFlow, Keras, PyTorch, or SciKit
- Prior experience building and pushing time-series forecasting algorithms to a production environment
- Prior experience working on team-based software
- Proficiency in developing extensible, object-oriented software using test-driven development techniques
- Experience with Git version control
- Mathematical understanding of linear programming and optimization
- Knowledge of power, energy, and electrical physics
- Familiarity with utility markets, programs, and tariffs
- Familiarity with Jira
12. BS in Computer Science with 5 years of Experience
- Production coding experience and comfort with an on-call rotation
- Previous experience in machine learning and statistics fundamentals
- History of developing production APIs, implementing robust tests, and using profiling or telemetry tools
- Comfort implementing, resourcing, and debugging PySpark workflows
- Aptitude with data storage and caching, such as SQL and Redis
- Experience with production-ready machine learning packages such as scikit-learn or SparkML
- Strong understanding of SQL and NoSQL
- Experience working with Hadoop or Spark and AWS, GCP, or Azure
- Understanding of a Linux environment
- Knowledge of the data pipeline
- Passionate about building exciting solutions and growth opportunities
13. BS in Data Science with 4 years of Experience
- Knowledge of cloud systems such as AWS, Azure, GCP and containerisation such as Docker
- Experience working with large, real-world datasets
- Demonstrated in-depth understanding of product development lifecycle
- Demonstrated aptitude for and interest in peer mentorship
- Experience deploying code into production through CI/CD tools
- Knowledge of biostatistics/life sciences/healthcare technology
- Knowledge of UX principles
- Experience working in the Hadoop ecosystem
- Prior working experience in management training
14. BS in Computer Engineering with 2 years of Experience
- Self-driven, critical thinker with an entrepreneurial mindset
- Prior startup experience
- Excellent communication skills, both verbal and written
- Prior experience solving computer vision problems such as object detection and image classification
- Experience in Medical device design engineering
- Experience working within an ISO 13485 QMS system
- Hands-on approach to problem-solving
- Self-directed, detail-oriented, and enjoy figuring out the most important problem to work on
15. BS in Data Engineering with 7 years of Experience
- Experience using one or more machine learning frameworks such as scikit-learn, PyTorch, TensorFlow and Keras
- Excellent communication, presentation, and documentation skills
- Experience with optimization, estimation algorithms, distributed algorithm design, and hands-on implementation of these techniques
- Ability to serve as a technical lead such as building technical requirements, software design, implementation, and clear communication
- Experience implementing end-to-end data science and machine learning projects
- Professional handling of Python and SQL
- Demonstrable experience with machine learning models
- Proficiency in mainstream deep learning frameworks
- Experience with cloud computing and GPU-accelerated environments
- Demonstrable experience working with state-of-the-art deep learning architectures
- Knowledge of the main components of a machine learning project pipeline, including data wrangling, feature engineering, training and evaluation
16. BS in Machine Learning with 5 years of Experience
- Demonstrated industry experience deploying Tensorflow, PyTorch, MXNet, and/or Keras models to a production environment for inference and/or automated model retraining,
- Depth of knowledge leveraging Kubeflow, Apache NiFi, Apache Airflow, AWS Step Functions, directed acyclic graphs (DAG), or other algorithmic pipeline orchestration architectures,
- Expert on CI/CD software best practices and using an agile framework for software deployment,
- Fluent in GoLang and Python
- Experience with Deep Learning
- Thrives in a fast-paced startup environment
- Passionate about the fintech and e-commerce markets
- Experience with deep learning and neural networks
- Experience with Lambda, Step Functions, AWS cloud development
- Experience in fintech, banking, or digital advertising industries
17. BS in Robotics Engineering with 6 years of Experience
- Knowledge to model and simulate systems to test algorithms for suitability
- Knowledge of a broad set of algorithms and applied math
- Must know Big Data techniques and tools
- Must have experience of high level software languages (e.g., Java, C/C++, etc.)
- Must know scripting languages (e.g., MATLAB, Python, Bash, etc.)
- Knowledge of simulation tools and model-based design (e.g., Simulink)
- Ability of unit testing and software validation techniques
- Possess knowledge of application lifecycle management tools (e.g., DOORS, PTC Integrity, TFS)
- Knowledge of source control systems (e.g., Git, Subversion)
- Ability to work with software configuration management processes and workflows
- Knowledge of software development standards/guidelines (e.g., CMMI)
- Knowledge of heavy machinery or automotive
- Must possess the ability to write specifications that describe software function
- Prior experience in reading and interpreting documents such as safety rules, operating and maintenance manuals, procedure manuals, and software specifications
- General Competencies Of The Machine Learning Engineer
18. BS in Computer Science with 5 years of Experience
- Experience in technology development in the field of image/video processing for autonomous vehicles and/or robotic systems
- Proficient in C, C++ and Python programming
- Familiar with Windows and Linux programming environments
- Familiar with ROS, OPENCV library
- Experience in applying Deep Learning Networks to solve computer vision problems
- Experience in embedded systems implementation, such as ARM, DSP or FPGA
- Experience in a similar role as a Machine Learning Engineer, Software Engineer with Computer Vision experience, etc.
- Experience in building and evaluating machine learning and deep learning models
- Experience putting machine learning models into production (GCP, AWS)
- Fluency in Python
19. BS in Data Science with 4 years of Experience
- Project experience in machine learning and statistical modeling
- Hands-on experience in building data science applications and machine learning pipelines
- Working knowledge of one or more SQL languages: Oracle, MySQL, PostgreSQL, Redshift, etc.
- Development experience in at least one programming language: Python, Java, C++, etc.
- Knowledge of common machine learning and statistics frameworks and concepts
- Experience with large data sets, distributed computing and cloud computing platforms
- Working experience in MLOps
- Experience with Automation tools like Airflow
- Must have Salesforce experience/certification
20. BS in Electrical Engineering with 7 years of Experience
- Previous working in machine learning engineer
- Previous work in a software/machine learning engineering role
- Strong expertise in A/B testing
- Able to drive causal impact using A/B testing
- Experience with recommender and/or ranking systems
- Solid theoretical knowledge of Machine Learning and Statistical concepts, including Deep Learning, as well as performance tradeoffs
- Strong hands-on experience with the standard Python DS stack
- Able to write clean and production-ready code
- Experience in collaborating across cross-functional teams including analytics and product management
- Working proficiency in English
- Experience with ML automation stack (MLFlow, Kubeflow, etc)
- Experience with smart Feed development
- Experience with Kubernetes and Docker
21. BS in Applied Mathematics with 6 years of Experience
- Hands-on experience in a similar role at a company using cutting-edge ML tools and Deep Learning research, Computer Vision or NLP
- Sound mathematical knowledge (linear algebra, probability theory, stats, matrix calculus)
- Reasonable understanding of theoretical ML principles, e.g., optimization, representation learning, generalization, topics such as semi-supervised or adversarial learning, image classification, object detection, segmentation
- Familiarity with Python and ideally one more programming language
- Experience with Deep Learning / Scientific tools, e.g., PyTorch, TF/Keras/JAX, SciKit Learn, Numpy, Pandas, OpenCV, etc.
- Creative thinker, problem solver and a willingness for continual learning
- Excellent communication, listening and presentation skills with diverse audiences and experience supporting and mentoring peers
- Experience with orchestration platforms (Kubernetes, containerization, and microservice design)
- Familiarity with distributed systems and architectures, test-driven development, CI/CD
- Previously published research papers in deep learning or other related fields
22. BS in Mathematics with 5 years of Experience
- Strong programming skills in languages like C++, Python, Java, Scala, Rust, or Go
- Experience with one or more of the following: PyTorch/PyTorch Lightning, TensorFlow, JAX
- Experience with cloud computing and infrastructure including Amazon Web Services (AWS) and distributed computing libraries like Apache Spark
- Experience with containerization and orchestration tools like Docker, Singularity, and Kubernetes
- Experience with deploying and maintaining deep learning systems and services in production at scale, including using MLOps frameworks like Weights and Biases
- Experience developing and maintaining codebases and software libraries, following industry best practices
- Strong background in statistics and machine learning, with experience in designing, building, and testing models
- Hands-on experience implementing production machine learning systems at scale
- Experience with data pipeline tools like Apache Beam and cloud platforms like GCP or AWS
23. BS in Applied Statistics with 8 years of Experience
- Proficient with Python
- Experience with PyTorch, TensorFlow, pyAudioAnalysis, librosa, and OpenCV (or similar)
- Experience with large-scale machine learning projects
- Knowledge of emotion recognition and speech recognition
- In-depth understanding of SOTA Machine Learning principles
- Excellent communication and teamwork skills
- Experience in defining and managing research projects with academia
- Experience in Software Development
- Experience programming in languages such as Python or Java
- Experience with Machine Learning in academia or industry
- Experience with Unix/Linux environments
- Proficient in programming languages: C/C++, Python, familiar with shell
- Good knowledge of Linux/Android development environment and tools
- Ability to customize and extend various machine learning frameworks, such as TensorFlow, and so on
- Familiar with optimization theory, such as convex optimization, numerical optimization, nonlinear programming, graph optimization, etc.
- Familiar with machine learning mathematics, related knowledge, probability and statistics, functional analysis, etc., open source contributions with high stars
24. BS in Data Engineering with 7 years of Experience
- Strong proficiency with Java, Python, Scala or C++
- Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing
- Advanced knowledge of performance, scalability, enterprise system architecture, and engineering best practices
- Experience with computer science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis
- Hands on development experience with at least, one modern programming language such as Java, C++, C#, Scala, etc.
- Strong mathematical background and interest,
- Good confidence in using the Python ecosystem for efficient prototyping of ideas
- Strong interest and skills in software engineering and object-oriented programming (ideally in C++), allowing to integrate algorithms within a complex software framework
- Eagerness to be part of a high-skilled, dynamic team where talent is both challenged and supported
- Fluency in English and ideally German (or willingness to learn German)
- Industry experience building production web-scale systems that support Machine Learning models
- Expertise with Python
- Hands-on experience with Spark or a similar distributed framework
25. BS in Machine Learning with 5 years of Experience
- Deep knowledge of statistical methods and machine learning, with special emphasis on deep learning algorithms
- Experience in algorithms, machine learning, data science, or statistics
- Experience solving problems using Machine Learning Frameworks (e.g., PyTorch, TensorFlow)
- Experience with Big Query
- Comfortable with writing complex SQL queries for data retrieval and transformation
- Proficient in Python / Pyspark
- Prior experience in management consulting and/or analytics-based consulting
- Practical experience in designing and implementing deep neural network-based speech processing algorithms (e.g., Tensorflow, PyTorch)
- Strong programming skills in Python
- Working knowledge of Docker and Git
- Experience with Google Cloud Platform infrastructure
- Excellent problem-solving, communication, and collaboration skills
26. BS in Artificial Intelligence with 4 years of Experience
- Expertise in working with big data sets and ETL
- Strong understanding of Machine Learning concepts
- Knowledge of professional software engineering practices, best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems
- Proficiency with additional programming languages
- Experience building complex, large-scale distributed software systems
- Good knowledge of software engineering best practices
- Good knowledge of statistics
- Knowledge in deep learning and machine translation
- Understanding of the explore-exploit trade-off, and associated algorithms
- Experience in A/B testing
27. BS in Robotics Engineering with 6 years of Experience
- Very good knowledge of C++
- Practical knowledge of CI tools (git, CMake, Jenkins, github, GitLab)
- Ability to learn and acquire new knowledge quickly
- Good self-reliant skills, especially the ability to solve complex technical problems quickly
- Good command of English
- Experience leading large-scale projects that directly impact a similar business
- History using Python for machine learning model development and deployment
- Commercial experience building machine learning models into production settings
- Prior experience leading business-critical projects
- History of owning the machine learning lifecycle from end-to-end
28. BS in Computer Science with 5 years of Experience
- Experience in Software Engineering
- Solid understanding of Math and CS fundamentals
- Strong analytical skills
- Practical experience in Deep Learning (applying ML to real-world projects)
- Experience in Natural Language Processing
- Able to perform applied research projects and bring them to production
- Experience with one or more general-purpose languages (Java, C/C++, Python, etc.)
- Professional experience with Tensorflow/Pytorch or other popular ML frameworks
- Demonstrated ability to write high-quality code
- Team player with strong communication skills
- Proficiency in the written and spoken English language
29. BS in Data Science with 4 years of Experience
- Advanced degree in a quantitative discipline (i.e., computer science, applied mathematics, statistics, etc.) or equivalent experience
- Enterprise machine learning experience, designing and deploying models at scale using software development best practices
- Working experience in Python development
- Experience with Data Mining
- Experience with Data Modeling and notebook-based Data Science workflow
- Experience with either one of Tensorflow, Pytorch, Theano, or any other equivalent
- Experience with deploying models for real-time inference or batch processing
- Experience using some of the following: AWS, FastAPI, SQLAlchemy, Alembic, Docker
- Experience with Enterprise SaaS
30. BS in Electrical Engineering with 7 years of Experience
- Prior experience in any mix of Software development / Research / Data Science
- Great communication skills and a collaborative mindset
- Experience with Python
- Working knowledge of SQL
- Familiar with ML/Data Science libraries, e.g., Sklearn, Pandas, Numpy, Tensorflow, Spacy
- Interacting with cloud-based computing and storage resources
- Enjoys the entire process, i.e., understanding the business problems, gathering/extracting data, cleansing it, performing statistical analysis and everything in between
- Professional experience building analytics for geospatial data, satellite data, aerial imagery, LiDAR
- Experience with deep learning, computer vision, or photogrammetry
- Experience with geospatial technologies (e.g. PostGIS, GDAL/OGR, Rasterio, Shapely, GeoPandas, etc).
- Experience with workflow management engines (i.e., Luigi, Airflow, Pachyderm, etc.)
- Experience with automated deployment of models at scale
- Experience building APIs
- Working knowledge or experience shipping code with Kubernetes
- Experience using Spark or equivalent
- Cross-functional skills in data science, engineering or GIS, or work experience in customers’ industries (DoD, energy, insurance to start)
31. BS in Applied Mathematics with 6 years of Experience
- Experience with cloud computing platforms such as AWS or GCP
- Experience with Kubernetes
- Fluent in spoken and written English
- Good communication skills to express ideas and opinions
- High-quality standards of coding
- Programming experience with at least one software programming language
- Experience in software development
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience in building large-scale machine-learning infrastructure for online recommendation, ad ranking, personalization, or search, etc.
- Experience with ML libraries/frameworks such as Tensorflow, AWS Sagemaker, Keras, PyTorch, etc.
- Experience with Big Data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza
32. BS in Mathematics with 5 years of Experience
- Working experience as a data scientist, data engineer, or machine learning engineer, besides studies
- In-depth understanding of data science and proven affinity with data engineering (or vice versa)
- Solid programming experience in Python
- Proficiency in SQL, Git, command line, Docker, and API frameworks
- Proven experience in building models ready for production
- Knowledge of statistics and mathematics
- Ability to teach and learn from teammates
- Experience delivering applied machine learning products, including taking a product through design, implementation, and production
- Familiarity with Python (including NumPy, SciPy, Pandas), JVM, and Linux
- Familiarity with a variety of modeling techniques including classical and deep learning
- Experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems
33. BS in Artificial Intelligence with 4 years of Experience
- Working relatively autonomously but also having close interaction with the rest of the development team
- Extensive experience in Python
- Proven experience in machine learning theory and practice, through previous work, published research, high placement in relevant online competitions (i.e., Kaggle), post-graduate studies, or some advanced online course
- Computer Science/Engineering degree (or STEM with a heavy element of computer science)
- Prior experience with eHealth
- Working experience in Industry/full-time Machine Learning or Data Science
- Experience with TensorFlow, PyTorch, and Keras
- Strong programming skills in Python
- Database experience in SQL or MongoDB
34. BS in Data Engineering with 7 years of Experience
- Software engineering experience across multiple languages such as Python, Java, C/C++, R, Scala 
- Extensive experience with cheminformatics tools and platforms such as JChem, RDKit, OpenBabel, Pipeline Pilot, KNIME, MOE, or Schrödinger
- Experience with predictive drug development methods, such as pharmacophore models, crystal structure-based models, QSAR methods, or free energy calculations
- Experience with standard statistical analysis and machine learning techniques 
- Experience with popular analytical tools such as Pandas, Scikit-learn, Tensorflow, PyTorch, Jupyter, or ggplot2
- Experience with scalable analysis tools and platforms such as Hadoop, Spark, AWS, or GCP
- Exercise excellent oral and written communication skills, conveying new ideas to team and in touchpoints with product managers, healthcare experts, and partners in healthcare start-ups
- Demonstrate high initiative and are self-driven to excellence
- Embody a growth-mindset and are excited to receive feedback and continuously learn to deepen their understanding of ML and improve their interpersonal skills
- Demonstrate deep understanding in at least one subfield of ML and contribute knowledge to other team members
35. BS in Robotics Engineering with 6 years of Experience
- Demonstrated mastery in communication of technical ideas to non-technical audiences
- Ability to translate customer goals into practical engineering solutions
- Good understanding of foundational statistics concepts and algorithms: linear/logistic regression, random forest, boosting, NNs, etc.
- Passion for learning (new problem domains, algorithms, tools, etc.) and for analyzing data
- Strong programming skills with fluency in at least one of Python, Java, Scala, C/C++
- Familiar with industry-standard software engineering practices and systems knowledge
- Working knowledge of Unix/Linux systems
- Ability to access, manage, transfer, integrate and analyze complex datasets, especially using SQL
- Familiarity with libraries such as pandas, TensorFlow, scikit-learn
- Industry experience in software engineering and data science
- Experience working on large data sets, especially with Spark
- Experience with Python and Java
Editorial Process and Content Quality
This content is developed by the Lamwork Editorial Team using structured analysis of real-world job data, skill requirements, and hiring patterns.
Research framework by Lam Nguyen, Founder & Editorial Lead.
Reviewed by Thanh Huyen, Managing Editor.
Learn more about our editorial standards.