2.0 - 10.0 years

0 Lacs

bengaluru, karnataka, india

On-site

Data Scientist with Python Job Location: Bangalore Work Experience: 2-10 years of professional experience in Data science role. Primary Skills : Python AI, ML, NLP, LLM, Neural Network Education Qualification: BE/Btech (Full time) Drive AI first solution and bring out industry leading cutting-edge AI solutions Provide an end-to-end AI based solution that excels in real client use-cases around Information Extraction Collaborate with cross functional teams (Product and Solution teams) and ensure that the AI solution is comprehensive as required by the use case Abreast with latest trends in AI technologies and provide technical leadership to execute large-scale, complex search solutions Help attract and recruit technical talent in the domain of Information Extraction Must-Have: Bachelors degree in computer science, Computer Engineering, or a related technical discipline. 2-10 years of software development experience with creating AI solutions High proficiency and experience in ML, NLP/NLU, Computer Vision, Narrow LM (BERT), General LLM, Gen AI Good hold over unsupervised learning, supervised learning, reinforcement learning and generative models Advanced knowledge of the HuggingFace (transformers, tokenizers, accelerate) and Langchain libraries Build, versioning and maintaining AI models along with performance optimizations to run at scale Create and maintain training data from large knowledge bases consisting of semantic relationships Experience with other NLP libraries like nltk, spacy, genism, etc Expertise in programming languages commonly used in AI development, such as Python and proficiency in libraries like NumPy and Pandas. Preferred: We need technical depth and an appreciation of business imperatives, we want to use technology to solve real-world problems, not indulge in over-engineering Experience with multilingual NLP A willingness to dive deep, experiment rapidly and get things done. Exceptional customer relationship skills including the ability to understand common technical requirements from multiple feature requests and lead engineering efforts to meet timelines with optimal solutions. Experience with Agile/Lean (Kanban, SCRUM), http / REST services, Linux. Proven experience mentoring and training the engineering community on complex technical issues. Disclaimer: Edgeverve Systems does not engage with external manpower agencies or charge any fees from candidates for recruitment. Show more Show less

Posted 5 days ago

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Data Scientist Axis My India

5.0 - 10.0 years

17 - 32 Lacs

Mumbai

Work from Office

Role & responsibilities Conduct relevant statistical tests to validate hypotheses and ensure data-driven outcomes. Design, develop, and deploy advanced statistical and machine learning models to analyze complex datasets, including those from the a app and other projects. Perform data fusion activities by leveraging techniques to merge, reconcile, and analyze information from disparate systems and formats. Employing modern weighing and projection methods to answer key business questions and predict future trends. Design and manage interactive dashboards using Power BI for real-time data visualization. Perform Exploratory Data Analysis (EDA) to identify patterns, anomalies, and opportunities. Collaborate with product and research teams by providing feedback based on analytical findings. Analyze survey data to extract actionable insights and trends. Define and create Key Performance Indicators (KPIs) based on APP data. Serve as the gatekeeper for data maps, ensuring data integrity and accessibility for stakeholders. Develop and maintain MIS dashboards Mentor the team and improve the overall performance of the team Preferred candidate profile Key skills / Abilities MSc in Statistics or a related quantitative field. Strong experience in statistical analysis, predictive modelling and data validation. Proficiency in Python and Power BI are necessary with experience of working in libraries used for numerical and text analysis such as Pandas, Numpy, PySpark, NLTK, SpaCy, Scikit-Learn, Genism. Experience of working with both parametric and non-parametric methods. Advanced knowledge of survey analytics and EDA techniques. Excellent communication skills for cross-functional collaboration. Experience with MIS dashboard development and KPI creation. High attention to detail and commitment to data quality. Experienced Required Experience working with app-based data and multi-project analytics environments. Familiarity with analyzing multiple survey data. Background in creating and managing KPIs aligned with business objectives. Exposure to big data technologies and cloud-based data platforms. Ability to work collaboratively in cross-functional teams involving product, research, and engineering stakeholders. Must have lead the data science team in past Experience of developing algorithm using combination of Data Science and statistics

Posted 2 months ago

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