Python ML Engineer

As a Python ML Engineer at Solulever, your primary role will involve designing, developing, and deploying machine learning models using Python and popular ML frameworks such as TensorFlow, PyTorch, and scikit-learn. You will collaborate with data scientists and domain experts to understand business requirements and translate them into machine learning solutions. Additionally, you will preprocess and analyze large datasets to extract meaningful insights and features for model training. Your responsibilities will also include optimizing and fine-tuning machine learning models for performance and scalability, implementing and maintaining data pipelines, evaluating model performance, and staying up-to-date with the latest advancements in machine learning and AI technologies. Furthermore, you will participate in code reviews and contribute to a culture of high code quality and best practices. Key Responsibilities: - Design, develop, and deploy machine learning models using Python and popular ML frameworks such as TensorFlow, PyTorch, and scikit-learn. - Collaborate with data scientists and domain experts to understand business requirements and translate them into machine learning solutions. - Preprocess and analyze large datasets to extract meaningful insights and features for model training. - Optimize and fine-tune machine learning models for performance and scalability. - Implement and maintain data pipelines to support machine learning workflows. - Evaluate model performance using appropriate metrics and techniques. - Monitor and troubleshoot deployed models to ensure accuracy and efficiency. - Stay up-to-date with the latest advancements in machine learning and AI technologies. - Participate in code reviews and contribute to a culture of high code quality and best practices. Qualifications: - Bachelors degree in Computer Science, Engineering, or related field. - 2+ years of experience as an ML Engineer or similar role. - Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). - Strong understanding of ML algorithms and statistical methods. - Experience with data preprocessing and feature engineering. - Familiarity with cloud platforms like AWS, GCP, or Azure. - Proficient in SQL and working with relational databases. - An analytical mindset and strong attention to detail. - Excellent communication and teamwork skills. Preferred Qualifications: - Experience with NLP or Computer Vision. - Knowledge of big data tools like Hadoop, Spark, Flink, or Kafka. - Exposure to containerization (Docker, Kubernetes). - Understanding of CI/CD and DevOps for ML pipelines. - Experience with monitoring tools and model performance dashboards. Whats it like to work here Big on learning, fun Fridays, hackathons, chai breaks, and memes on Teams. At Solulever, we celebrate inclusivity, diversity, and being your full self. We have a flat culture where we talk openly, solve fast, and build boldly. You will have the opportunity to build things that ship, scale, and shape real outcomes. In our zero fluff hierarchy, your ideas matter more than your job title. As a Python ML Engineer at Solulever, your primary role will involve designing, developing, and deploying machine learning models using Python and popular ML frameworks such as TensorFlow, PyTorch, and scikit-learn. You will collaborate with data scientists and domain experts to understand business requirements and translate them into machine learning solutions. Additionally, you will preprocess and analyze large datasets to extract meaningful insights and features for model training. Your responsibilities will also include optimizing and fine-tuning machine learning models for performance and scalability, implementing and maintaining data pipelines, evaluating model performance, and staying up-to-date with the latest advancements in machine learning and AI technologies. Furthermore, you will participate in code reviews and contribute to a culture of high code quality and best practices. Key Responsibilities: - Design, develop, and deploy machine learning models using Python and popular ML frameworks such as TensorFlow, PyTorch, and scikit-learn. - Collaborate with data scientists and domain experts to understand business requirements and translate them into machine learning solutions. - Preprocess and analyze large datasets to extract meaningful insights and features for model training. - Optimize and fine-tune machine learning models for performance and scalability. - Implement and maintain data pipelines to support machine learning workflows. - Evaluate model performance using appropriate metrics and techniques. - Monitor and troubleshoot deployed models to ensure accuracy and efficiency. - Stay up-to-date with the latest advancements in machine learning and AI technologies. - Participate in code reviews and contribute to a culture of high code quality and best practices. Qualifications: - Bachelors degree in Computer Science, Engineering, or relat