Data Scientist (Python, ML, SQL)
Rs 3 - 7 lakhs p.a.Systechcorp Inc
We are inviting applications for the role of Lead Consultant – Data Scientist with experience in Artificial Intelligence and Generative Models . We're seeking a talented and experienced professional to join our team and play a key role in developing cutting-edge, AI-powered solutions using large language models. Key Responsibilities
Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to generate actionable insights.
Design, develop, and implement:
Advanced statistical models
Machine learning algorithms
AI applications and generative models (using LLMs such as GPT-3, BERT, etc.)
Frameworks like Retrieval-Augmented Generation (RAG), Knowledge Graphs, etc.
Communicate insights clearly to both technical and non-technical stakeholders through presentations, reports, and data visualizations.
Monitor and optimize the performance of AI and generative models on an ongoing basis.
Stay updated with the latest trends, tools, and advancements in data science, AI, and generative modeling.
Mentor and guide junior team members to foster growth and collaboration within the team.
Minimum Qualifications
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
Proven experience in:
Data science and machine learning
AI applications and generative AI modeling
Strong programming skills in Python , R , or equivalent languages.
Hands-on experience with large language models (e.g., GPT-3 , BERT ) and frameworks such as RAG and Knowledge Graphs .
Experience working with large datasets using SQL , NoSQL , Hadoop , Spark , etc.
Excellent problem-solving, analytical, and critical thinking abilities.
Strong communication and interpersonal skills for cross-functional collaboration.
Preferred Qualifications
Experience deploying AI and generative models in production environments on AWS , Azure , or Google Cloud Platform (GCP) .
Familiarity with domain-specific data sources and challenges—especially in the Insurance industry.
Proven experience leading data science projects end-to-end, with demonstrated project management and team collaboration skills.
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