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AI Engineer Job Vacancies in Thiruvananthapuram

  • 5 - 11 yrs
  • Thiruvananthapuram
Pyspark Developer Pandas NumPy SQLAlchemy Scikit-learn. Azure Cloud Services Azure Data Factory Databricks Developer ETLELT MLOps
We are looking for an AI Engineer with 5 to 11 years of experience to join our team in Thiruvananthapuram. In this full-time role, you will work on developing innovative AI solutions and applications.**Key Responsibilities:**- **Develop AI Models:** Create and train advanced machine learning models to solve complex problems, ensuring they are accurate and efficient.- **Conduct Research:** Stay updated on the latest AI trends and research findings to implement cutting-edge techniques into projects.- **Collaborate with Teams:** Work closely with data scientists and software engineers to integrate AI features into existing applications and systems.- **Optimize Algorithms:** Fine-tune algorithms for performance improvements, ensuring they meet project requirements and consumer needs.- **Debug and Test:** Perform thorough testing and debugging of AI systems to identify issues and enhance functionality.- **Document Solutions:** Maintain clear documentation of algorithms and processes to facilitate knowledge sharing and onboarding of new team members.**Required Skills and Expectations:**The ideal candidate should have a strong foundation in machine learning, deep learning, and data analytics. Proficiency in programming languages such as Python or Java is essential, along with experience in frameworks like TensorFlow or PyTorch. You should possess excellent problem-solving skills and the ability to work collaboratively in a team. Strong communication skills are necessary to explain complex concepts to non-technical stakeholders and to contribute effectively to discussions. A degree in Computer Science, Engineering, or a related field is preferred.
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Machine Learning Research Assistant Artificial Intelligence Python Data Science R&D PhD Research Deep Learning Academic Research AI Engineer Research Programmer Neural Networks Model Development Research and Development
Role: Research Programmer(Python)Industry Type: IT Services & ConsultingDepartment: Research & DevelopmentEmployment Type: Full Time, PermanentSalary: NegotiableJob Description:We are seeking a Machine Learning Research Assistant to support our Research and Development (R&D) projects in the field of AI and data-driven PhD research. The role involves developing, testing, and implementing machine learning models, data analysis, and assisting in the preparation of academic research papers and technical documentation.Key Responsibilities: Assist in designing and implementing machine learning algorithms and deep learning models for research applications. Conduct data preprocessing, feature engineering, and model evaluation. Perform literature reviews to identify trends and methods relevant to ongoing research projects. Support PhD researchers with technical coding assistance and research data analysis. Prepare research reports, documentation, and result visualizations. Collaborate with the R&D team to explore new technologies and research directions in AI and ML.Required Skills: Strong programming skills in Python, NumPy, Pandas, TensorFlow, or PyTorch. Knowledge of machine learning algorithms, data analytics, and model optimization. Experience with research writing or academic publications is a plus. Strong analytical, problem-solving, and communication skills.Best Regards,Anand Kumar LHRPanacorp Software Solutions
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AI / ML Engineers

Acharya Virtual Solutions Private Limited

  • 3 - 5 yrs
  • 20.0 Lac/Yr
  • Thiruvananthapuram
AI Engineer Machine Learning
AI Engineers would be responsible for researching, developing and deploying artificial intelligence solutions. They should also have curiosity, attention to detail, creativity, and a passion for AI. They should be adaptable, customer-focused, ethical, and persistent in their work, to fit the requirement for an AI/ML Engineer Trainee. Some of the responsibilities for the role would be:Create and implement machine learning and deep learning models that can be used for data analysis, natural language processing, computer vision, and other tasks. Collect and process large amounts of data from various sources to train and test AI models. Analyze the performance of AI models to ensure they meet the required accuracy and reliability standards. Improve the performance of AI models by optimizing their parameters, hyperparameters, and architectures. Work closely with stakeholders such as data scientists, software engineers, project managers, and business analysts to ensure that AI solutions meet business needs
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