AI / ML Engineer

AI / ML Engineer

Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Machine Learning
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : BE

Summary: As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Your typical day will involve working with Machine Learning, developing and deploying advanced machine learning models using Python and associated libraries like Pandas, NumPy, and Scikit-learn. Roles & Responsibilities: - Lead the development and deployment of advanced machine learning models using Python and associated libraries like Pandas, NumPy, and Scikit-learn. - Design, build, and configure applications to meet business process and application requirements. - Collaborate with cross-functional teams, applying expertise in diverse machine learning algorithms, including experience in implementing various algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Communicate technical findings effectively to stakeholders, utilizing data visualization tools like Tableau or Power BI for clarity. - Stay updated with the latest advancements in machine learning and data science, integrating innovative approaches for sustained competitive advantage, including experience with TensorFlow, Natural Language Processing (NLP), and Big Data technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python. - Good To Have Skills: Experience with TensorFlow, Natural Language Processing (NLP), and Big Data technologies. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Experience in implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The ideal candidate will possess a strong educational background in statistics, mathematics, computer science, or a related field, along with a proven track record of delivering impactful data-driven solutions.