Data Scientist

Job Description:

We are seeking a talented and experienced Data Scientist to join our dynamic team. The

ideal candidate will have a strong background in data analysis, machine learning, statistical

modeling, and artificial intelligence. Experience with Natural Language Processing (NLP) is

desirable. Experience delivering products that incorporate AI/ML, familiarity with Cloud

Services such as AWS highly desirable.

Key Responsibilities:

• Clean, prepare, and explore data to find trends and patterns
• Build, validate, and implement AI/ML models
• Extensively document all aspects of the work including data analysis, model

development, results

• Collaborate with other team members teams to incorporate AI/ML models into

software applications

• Stay updated with the laviptest advancements in AI/ML domain and incorporate into

day-to-day work

Required Skills/Qualifications:

• 3-5 years of experience in AI/ML related work
• Extensive experience in Python
• Familiarity with Statistical models such as Linear/Logistic regression, Bayesian

Models, Classification/Clustering models, Time Series analysis

• Experience with deep learning models such as CNNs, RNNs, LSTM, Transformers
• Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-

learn, Keras

• Experience with GenAI, LLMs, RAG architecture would be a plus
• Familiarity with cloud services such as AWS, Azure
• Familiarity with version control systems (e.g., Git), JIRA, Confluence
• Familiarity with MLOPs concepts, AI/ML pipeline tooling such as Kedro
• Knowledge of CI/CD pipelines and DevOps practices
• Experience delivering customer facing AI Solutions delivered as SaaS would be a

plus

• Bachelors degree in Computer Science, Engineering, or a related field, or equivalent

practical experience.

• Strong problem-solving skills and attention to detail
• Excellent verbal and written communication and teamwork skills

Benefits:

• Competitive salary and benefits package
• Opportunity to work on cutting-edge technologies and innovative projects
• Collaborative and inclusive work environment
• Professional development and growth opportunities

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