Job Summary
We are seeking a highly skilled and experienced Senior Data Scientist with a strong focus on Generative AI and Natural Language Processing (NLP) to join our growing team.
You will play a crucial role in developing and implementing cutting-edge AI / ML solutions, leveraging your expertise in generative models, NLP, and deep learning to solve complex business challenges.
This role requires a deep understanding of advanced statistical and machine learning techniques, excellent communication skills, and the ability to collaborate effectively with product development and leadership teams.
Experience in a startup environment is a plus.
Key Responsibilities
- Data Acquisition & Automation : Identify relevant data sources and build automated data collection processes.
- Data Preprocessing : Preprocess structured and unstructured data to prepare it for model training and analysis.
- Model Development : Develop and innovate machine learning and deep learning algorithms, including generative AI models, NLP models, forecasting models, and network graphs.
- Model Building : Build predictive models, machine learning algorithms, and data pipelines for end-to-end solutions.
- Problem Solving : Propose data-driven solutions and strategies to address business challenges.
- Collaboration & Communication : Collaborate effectively with product development teams and communicate technical information clearly to senior leadership teams.
- Problem-Solving Sessions : Participate actively in problem-solving sessions, contributing your expertise and insights.
Required Technical Skills
Generative AI : Extensive background in generative AI algorithms and deep understanding of generative models.NLP : Deep understanding of NLP algorithms, techniques, and applications.Deep Learning : Strong knowledge of deep learning architectures and frameworks.Machine Learning : Solid foundation in machine learning algorithms, including supervised, unsupervised, and reinforcement learning.Statistical Modeling : Strong mathematical and statistical skills, including algebra and statistical modeling.Programming Languages : Fluency in at least one data science / analytics programming language (Python, R, Julia).Python is highly preferred.Data Pipeline Development : Experience building data pipelines for end-to-end solutions.Preferred Skills
Cloud Computing : Familiarity with cloud platforms (AWS, Azure, GCP) and their AI / ML services.Data Visualization : Experience with data visualization tools (i., Tableau, Power BI).Big Data Technologies : Knowledge of big data technologies (i., Spark, Hadoop).Required Experience & Qualifications
Education : Bachelor's degree in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research, or equivalent experience).Experience
5-6years of advanced analytics experience, preferably in startups or marquee companies.Startup experience is a plus.Personal Attributes
Strong problem-solving and analytical skills.Excellent communication and presentation skills, with the ability to explain complex technical concepts clearly.Ability to work independently and as part of a team.Proactive, self-motivated, and results-oriented.Passion for AI / ML and its potential to solve real-world problems(ref : hirist.tech)
Skills Required
Cloud Computing, Nlp, Machine Learning, Big Data Technologies, Data Visualization, Programming Languages, Statistical Modeling, Deep Learning