Data scientist
3 weeks ago
Job Summary: We are seeking a highly skilled and motivated Senior Data Scientist with over 5 years of experience in applying advanced Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), and Computer Vision (CV) techniques to real-world problems. The ideal candidate will possess deep technical expertise, business acumen, and the ability to work independently and collaboratively in a fast-paced environment. Prior exposure to Generative AI models (LLMs, VLMs, MLLMs) and Big Data ecosystems is essential. Key Responsibilities: Act as a Data Scientist for data handling, extraction, manipulation; creating structured form of data and pulling tangible insights from data Uses predictive modelling, statistics, trend analysis and other data analysis techniques to explore data and to answer specific research questions. Design, develop, and implement end-to-end data science solutions using structured and unstructured data. Take inputs from the Manager/Consultant to develop statistical models (predictive modelling, forecasting etc.) and apply appropriate techniques such as Exploratory Analysis, Regression, and Association etc. Develop executive presentation to present the analytical insights derived from the data analysis. Flexible to work on any problem statement in the space of AI-ML (NLP, CV & Predictive Analytics & Maintenance etc.) Must have a business problem understanding specifically from the domain of Automobile, Manufacturing, E-commerce, Aviation & digital things. Ability to deal well with ambiguity and act with autonomy. Collaborates with the team in order to improve the effectiveness of computational models through the use of data and feedback from stakeholders. Supports development of machine learning models with guidance from more senior co-workers Support and mentor junior data science team members, as needed. Required Skills & Qualifications: 5+ years of experience as a Data Scientist or ML Engineer, working on real-world AI/ML projects. Strong expertise in Machine Learning, Deep Learning, NLP, and Computer Vision techniques. Hands-on experience with Generative AI models (LLMs, VLMs, MLLMs), and an understanding of multi-modal neural networks and Transformer architectures. Proficiency in Python, R, and key ML/DL libraries (Scikit-learn, Pandas, Tensor Flow, Py Torch, etc.). Strong knowledge of SQL-based and No SQL databases (My SQL, Postgre SQL, Oracle, Mongo DB). Experience with statistical tools and platforms like WEKA, KNIME, Power BI, etc. Working experience with Big Data technologies – HDFS, Spark, Hive, Sqoop, Map Reduce. Good understanding of cloud platforms (AWS, Azure, or GCP) – any hands-on experience is a plus. Excellent analytical, problem-solving, and communication skills. Domain experience in Automotive, Manufacturing, E-commerce, Aviation, or Digital Platforms is highly desirable. Ability to work both independently and within a team setting with a proactive mindset. Preferred Qualifications: Education: A bachelor's degree in computer science, computer engineering, information technology, or a related field is typically the minimum requirement. Preferred a master's degree in data science, or a related field for advanced roles. Experience: Data Scientist requires 5+ years of experience in related fields such as database administration, data engineering, programming and data analytics.
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