Data Scientist Job Vacancies in Nagercoil

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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Python Machine Learning Data Management
Job Title: Data ScientistLocation: [Nagercoil]Job Type: Full-TimeExperience: 03 years (Freshers can apply if skilled)Salary: [1.5 - 2.5] LPAAbout the Role:We are seeking a skilled and analytical Data Scientist to join our team. You will work on extracting insights from large datasets, building predictive models, and supporting data-driven decisions. The ideal candidate has a strong foundation in statistics, machine learning, and programming.Responsibilities:Collect, clean, and analyze structured and unstructured dataDevelop and deploy machine learning models and algorithmsVisualize data and present insights using tools like Power BI, Tableau, or matplotlibCollaborate with teams to understand business needs and translate them into data solutionsConduct A/B testing and statistical analysis to evaluate strategiesMonitor model performance and maintain data pipelinesRequirements:Bachelor's/Master's in Computer Science, Data Science, Statistics, or related fieldProficiency in Python, R, or SQLExperience with ML frameworks (e.g., Scikit-learn, TensorFlow, Keras)Strong knowledge of statistics and data wranglingFamiliarity with databases and cloud services (e.g., AWS, GCP, Azure) is a plusGood communication and problem-solving skillsPreferred Skills:Knowledge of NLP, deep learning, or computer visionExperience with big data tools like Spark or HadoopHands-on with Git, Jupyter Notebooks, and APIsNote: Freshers with strong projects or certifications are welcome to apply.
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