Senior AI/ML Developer
47 minutes ago
Interested to start your Career as a Senior AI/ML Developer(3+ Year Exp).
At 𝐥𝐨𝐰𝐭𝐨𝐮𝐜𝐡.𝐚𝐢, we empower enterprises to seamlessly deploy 𝐧𝐨-𝐜𝐨𝐝𝐞 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬 that automate processes, enhance customer experiences, and optimize IT operations—all while ensuring 𝐝𝐚𝐭𝐚 𝐩𝐫𝐢𝐯𝐚𝐜𝐲 𝐚𝐧𝐝 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 by running entirely within their own infrastructure.
Role Overview:
We are seeking a motivated and enthusiastic Senior AI/ML Engineer (4+ Year Exp) to join our growing team. The ideal candidate will have a strong interest in machine learning, data science, and AI technologies, and a passion for solving real-world problems using these skills. This is an entry-level role that offers the opportunity to work alongside experienced professionals, build foundational knowledge, and contribute to the development and deployment of AI solutions.
Key Responsibilities:
- Assist in the development, training, and deployment of machine learning models for various business applications.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Perform exploratory data analysis, feature engineering, and data preprocessing to improve model performance.
- Support in evaluating and selecting appropriate AI/ML algorithms and techniques based on project requirements.
- Contribute to model testing, validation, and iteration, ensuring alignment with accuracy and performance metrics.
- Document models, workflows, and code to ensure reproducibility and scalability of AI solutions.
- Stay up-to-date with the latest advancements in AI/ML technologies, frameworks, and best practices.
Qualifications and Skills:
- Education: Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
- Technical Skills:
- Basic understanding of machine learning algorithms and concepts (e.g., regression, classification, clustering).
- Proficiency in programming languages such as Python, R, or similar.
- Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Knowledge of data preprocessing, feature selection, and model evaluation techniques.
- Experience with basic data analysis and visualization using tools like Pandas, Matplotlib, or Seaborn.
- Analytical Skills: Strong problem-solving abilities with attention to detail and accuracy.
- Communication: Good verbal and written communication skills to effectively collaborate with team members and stakeholders.
- Passion for Learning: Eagerness to learn and grow in the field of AI/ML and keep up with emerging trends and technologies.
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