Data Science Job Vacancies in Delhi

As an AI Trainer, your main role will be to help improve and teach various AI systems by training them with relevant data and insights. You will work closely with teams to ensure these AI models can learn and adapt to new information effectively.Key Responsibilities:- Data Preparation: Collect and organize data that AI systems will use for learning. This is important because the quality of data affects how well the AI performs.- Model Training: Work on training AI models using specific algorithms. You will input data and adjust settings to help the model learn accurately.- Performance Evaluation: Test the AI models to see how well they perform. You will analyze the results to identify areas that need improvement.- Feedback Implementation: Based on your evaluations, provide feedback to improve the training process. Incorporating suggestions will help enhance AI functionality.- Collaboration: Work with other team members, including developers and analysts, to align efforts and share insights. Teamwork is crucial for developing effective AI systems.Required Skills and Expectations:- A Bachelors degree in fields like B.A, B.C.A, B.B.A, or B.Com is essential.- Strong analytical and problem-solving skills to understand and resolve challenges in AI training.- Basic knowledge of AI concepts and machine learning principles is advantageous, but not mandatory.- Excellent communication skills to share ideas and collaborate with others.- A willingness to learn and adapt, as AI technology is always evolving.- Prior experience in a related field is a plus, but fresh graduates are welcome to apply.

Job Responsibilities:Write effective, high-quality Python code to solve problemsClearly explain the reasoning behind the code in Jupyter notebooksDebug code and produce thorough documentationUsing free datasets (such as Kaggle, the UN, the US government, etc.), use your data analytic skills to formulate and respond to important business issuesEffectively communicate with researchers to comprehend their needs and share their findingsJob Requirements:Bachelors/Masters degree in Engineering, Computer Science (or equivalent experience)At least 4+ years of relevant experience as a data scientist2+ years of experience working with Python programming languages and Data ScienceDemonstrable experience with Data AnalysisSome familiarity with SQL is nice to haveExcellent critical thinking and problem-solving abilitiesStrong business sense combined with data analytic abilities to identify the key questions to ask from the dataset, provide clear answers, and explain the key findingsOutstanding communication abilities to work with researchers and stakeholders in an efficient mannerFluent in spoken and written English communication

Job Openings for 13 Urgent Required For Data Analyst / Data Science / IT Company Jobs for Freshers in Lucknow, Uttar Pradesh,Delhi, Delhi/NCR,Surat, Gujarat,Agra, Uttar Pradesh,Varanasi, Uttar Pradesh,Visakhapatnam, Andhra Pradesh,Kanpur, Uttar Pradesh,Nagpur, Maharashtra,Kochi, Kerala,Indore, Madhya Pradesh,Data Scientist,Data Analyst,Python Developer,Microsoft Excel, having Educational qualification of : Higher Secondary, Secondary School, Diploma, Professional Degree, Other Bachelor Degree, B.A, B.C.A, B.Com with Good knowledge in Data Scientist,Data Analyst,Python Developer,Microsoft Excel etc.Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary.