Sr SDE- ML

Unify Technologies is looking for Sr SDE- ML to join our dynamic team and embark on a rewarding career journey

• Algorithm Development: Design, develop, and implement machine learning models and algorithms to solve complex problems, leveraging libraries like TensorFlow, PyTorch, or Scikit-learn
• Model Training and Evaluation: Collect, preprocess, and analyze data for training ML models, evaluate model performance, and fine-tune algorithms for optimal results
• Integration with Applications: Integrate machine learning functionalities into software applications, ensuring seamless interaction and data flow between ML components and other systems
• Feature Engineering: Identify and engineer relevant features from raw data, collaborating with data engineers or scientists to improve model performance
• Deployment and Optimization: Deploy machine learning models into production environments, optimize algorithms for scalability, efficiency, and real-time performance
• Collaboration: Work closely with cross-functional teams including data scientists, software engineers, product managers, and stakeholders to understand requirements and deliver ML-driven solutions
• Experimentation and Innovation: Research, explore, and experiment with new ML techniques, frameworks, or technologies to enhance existing models or develop new approaches
• Skills and Qualifications:Machine Learning: Strong background in machine learning concepts, supervised/unsupervised learning, neural networks, deep learning architectures, and model evaluation techniques
• Programming Languages: Proficiency in programming languages like Python, R, or Julia for ML development, data manipulation, and model implementation
• ML Frameworks and Libraries: Experience with popular ML frameworks like TensorFlow, PyTorch, scikit-learn, and libraries such as Pandas, NumPy, etc
• Data Handling: Ability to work with large datasets, data preprocessing, feature extraction, and manipulation using SQL, NoSQL databases, or other data processing tools
• Software Engineering: Strong software development skills, understanding of software design patterns, version control (Git), and proficiency in building scalable and maintainable code