
Entry Data Science Specialist
- Bangalore, Karnataka
- Permanent
- Full-time
- AI Model Development: Design, develop, and implement cutting-edge machine learning algorithms and models, focusing on NLP, Generative AI, and other AI technologies.
- Research and Innovation: Stay up to date with the latest advancements in machine learning and artificial intelligence. Conduct research to identify new techniques and approaches to improve our AI solutions.
- Data Analysis: Analyze large and complex datasets to extract meaningful insights. Apply statistical analysis and machine learning techniques to gain a deeper understanding of the data.
- Collaboration: Collaborate with cross-functional teams, including software engineers and data scientists, to integrate machine learning models into applications and systems effectively.
- Algorithm Optimization: Optimize machine learning algorithms for performance, scalability, and efficiency. Identify and resolve bottlenecks to ensure smooth and fast execution.
- Testing and Validation: Evaluate the performance of machine learning models using appropriate metrics. Conduct rigorous testing and validation to ensure the accuracy and reliability of the models.
- Documentation: Document the development process, algorithms, and models. Prepare clear and concise technical documentation for reference and knowledge sharing.
- Ability to conduct cost/benefit analysis, Business case development etc. Prioritize requirements and create conceptual prototypes and mock-ups.
- Master strategic business process modeling, traceability, and quality management techniques.
- Strong verbal and written communication and presentation skills.
- Experience identifying and communicating analytical outcomes, verbally and in writing, to both business and technical teams.
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)
- Proven Familiarity of Finance & Accounting principles and/or project accounting.
- Proven experience in developing and implementing machine learning models, particularly in areas like NLP and Generative AI.
- Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks.
- Strong understanding of deep learning architectures, algorithms, and frameworks.
- Experience with natural language processing techniques, sentiment analysis, text summarization, and related NLP tasks.
- Familiarity with generative models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
- Bachelor's degree in computer science, Information Management/IT, Statistics, Business Administration, or related disciplines.
- Master's Degree in Statistics, Business Administration or related disciplines is a plus.
- Certifications in Data Analytics & Data Science is a plus.
- Must have 1+ years of experience working on ML algorithms and related products.
- Must have 1+ years of experience working with relational databases (Oracle), query authoring (SQL).
- Experience in Business Intelligence tools like Qlik Sense, Tableau, Power BI is a plus.
- Experience on creating the Dashboards, Scorecards, Ad-hoc Reports.
- Strong Knowledge in ERP (Oracle EBS: Projects, AR, AP Modules)