Hire Remote Senior
Data Science Developers
in Germany

Seasoned machine learning engineer and researcher with 5+ years of experience leveraging deep learning and NLP to make computers intelligent. Skilled in computer vision, speech processing, language understanding, GANs, and cloud model deployment.

Data ScienceMachine LearningNLPAIDeep LearningLLMPythonTensorFlowComputer VisionPyTorch

I am a skilled ML Engineer with experience in client interactions, project lifecycle management, and model development. Proficient in Python, Pytorch, and various AI technologies. Award-winning and top-rated on Upwork.

Data ScienceDeep LearningAIMachine learningNLPReinforcement LearningLarge Language ModelsComputer VisionPythonPyTorchOpenCVYOLOOpenAIRetrieval-Augmented GenerationBERTGPT-3Image SegmentationOpenVINOONNX

Looking for new adventures and challenges! A seasoned Senior Data Scientist and Machine Learning Engineer, with 5+ years of expertise in advanced text and statistical analytics, ML, statistical modeling, and NLP applications. Skilled in extracting insights from complex datasets to drive data-driven decision-making. Proficient in programming languages like Python, SQL, and Java and tools like GCP, and AWS. Exceptional problem-solver, adept at teamwork, and effective communication skills. Seeking a role as a Machine Learning Engineer, Data Scientist, Data Engineer, or Data Analyst. - \- Open to Relocate (in Germany) \## Skills Summary \# Technical Proficiency \- Programming Languages and Frameworks: Advanced proficiency in Python, Flask, and Java for full-stack Machine Learning development. \- AI/ML Technologies: Hands-on experience applying classification, regression, clustering, deep learning, image processing, and NLP techniques to solve real-world problems. \- Libraries: Expertise in NumPy, Pandas, PySpark, TensorFlow, Keras, PyTorch, sci-kit-learn, OpenCV, SciPy, SpaCy, Matplotlib, Seaborn, and Plotly for data exploration, modeling, and visualizations. \- Cloud Technologies: Extensive experience architecting and deploying end-to-end data science solutions on AWS (SageMaker, EC2, Lambda, S3) and GCP (Vertex AI, Compute&App Engine) platforms. \- Databases: In-depth working knowledge of SQL, MySQL, PostgreSQL, BigQuery, MongoDB, and Spark for efficient data storage, manipulation, and querying large datasets. \- Data Science and Misc. Technologies: Hands-on with generative AI, large language models, mathematics, time series analysis, recommendation engines, NLP applications, and Jupyter Notebook. \- Deployment/MLOps: Expertise using MLFlow, Airflow, FlaskAPI, TensorBoard, CI/CD, and Agile methodologies for robust model operationalization. \# Soft Skills \- Communication: Strong presentation skills to report influential findings to technical and non-technical stakeholders. \- Problem-Solving: Critical thinking and analytics to address challenging problems methodically. \- Collaboration: Proven team player with the ability to build consensus and achieve group objectives. \- Business Acumen: Track record of strategic business recommendations by translating complex analytics into actionable insights. Continuous Learning and Adaptability \- Innovation Mindset: Passion for self-improvement and hands-on experience with emerging technologies. \# Ethics & Compliance \- Data Privacy: Knowledge of data privacy, ownership, and ethical use as per regulatory standards like GDPR, and CCPA. \- Compliance: Understanding of legal frameworks to ensure projects meet quality and security compliances.

Data ScienceMachine LearningNLPLarge Language ModelsData EngineeringPythonGoogle Cloud PlatformAWSAPIGoogle BigQueryApache SparkTensorFlowCommunication SkillsScikit-learnPandasElasticsearchPython 3ETLApache KafkaSQLLinuxApache AirflowMLOps