Artificial Intelligence/Machine Learning Engineer - Python/R/Java

SALARY : 10LPA - 30LPA We are seeking a highly skilled and motivated Artificial Intelligence and Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in AI/ML, data science, and software engineering, with experience in building, deploying, and optimizing machine learning models in real-world applications. Key Responsibilities : - Model Development : Design, develop, and implement machine learning models and algorithms tailored to business needs, including supervised, unsupervised, and reinforcement learning models. - Data Processing : Collect, clean, and preprocess large datasets to ensure data quality and integrity. - Model Training & Optimization : Train, test, and tune models to achieve high accuracy and performance. Optimize models for efficiency and scalability. - Deployment : Deploy machine learning models into production environments, ensuring smooth integration with existing systems. - Research & Innovation : Stay updated with the latest AI/ML research and techniques. Apply innovative approaches to solve complex problems. - Collaboration : Work closely with cross-functional teams including data scientists, software engineers, and product managers to deliver AI-driven solutions. - Documentation : Create comprehensive documentation for models, processes, and systems to ensure maintainability and reproducibility. - Mentorship : Provide guidance and mentorship to junior engineers and interns within the team. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field. A Ph.D. is a plus. - Experience : 5-10 years of hands-on experience in AI/ML, data science, or related fields. Technical Skills : - Proficiency in programming languages such as Python, R, or Java. - Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). - Strong understanding of statistical methods, data mining, and predictive modeling techniques. - Experience with cloud platforms (e.g., AWS, GCP, Azure) for model deployment. - Familiarity with big data tools (e.g., Hadoop, Spark) and databases (SQL/NoSQL). - Knowledge of natural language processing (NLP), computer vision, or other specialized AI areas is a plus. Preferred Qualifications : - Experience with AI/ML in specific domains such as finance, healthcare, e-commerce, etc. - Contributions to open-source AI/ML projects or publications in peer-reviewed journals. - Certifications in AI/ML from recognized institutions or platforms. (ref:hirist.tech)

Location: in, IN

Posted Date: 11/10/2024