Sedin Technologies - Lead Data Scientist - NLP/Machine Learning

Lead Data Scientist
Location : Chennai
Experience : 10+ years
As a Lead Data Scientist at Datakulture, you will :

• Drive end-to-end delivery of data science projects, transforming business problems into analytical solutions.
• Lead a team of data scientists and ML engineers, providing technical guidance, code reviews, and mentorship.
• Engage with clients and internal stakeholders during pre-sales to shape solution architecture, project scope, and value propositions.
• Collaborate cross-functionally with domain experts, product managers, and engineers to ensure solutions are practical and impactful.
  

- Stay updated on advancements in AI/ML and apply cutting-edge techniques to real-world problems.-
- Represent Datakulture in thought leadership initiatives-whitepapers, blogs, webinars, or conference talks.-
Qualifications
Wed love to hear from you if you :

• 
  Have a Masters or Ph.D.- in Computer Science, Statistics, Mathematics, or a related field.
• Have 7+ years of hands-on experience in applied data science, statistical modeling, and machine learning.
• Have a track record of delivering ML projects in production, across domains such as retail, finance, or operations.
• Are skilled in Python, with strong knowledge of data manipulation, model development, and visualization.
  

- Are proficient in- Streamlit- for building interactive data apps and demos for business stakeholders.-
- Have solid experience building and deploying APIs using- FastAPI- (or Flask).-

• Understand machine learning deployment workflows and ML Ops practices (e.g., model versioning, monitoring, CI/CD).
• Have prior experience working with pre-sales or client-facing solutioning for analytics/AI projects.
  

- Demonstrate strong problem-solving, communication, and team leadership skills.-
Nice To Have

• Experience publishing research papers or contributing to open-source AI/ML projects.

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• Familiarity with modern NLP techniques, LLMs (fine-tuning, RAG, agents), and frameworks like LangChain or OpenAI APIs.
• Working knowledge of cloud platforms (AWS, GCP, or Azure) and scalable ML infrastructure.
  

- Exposure to BI tools (e.g., Power BI, Tableau) and data warehousing systems.-
Our Technology Stack

• Python and Jupyter Notebooks, SQL, Spark/PySpark
• Tensorflow, PyTorch
• Streamlit, Gradio, Flask
• MLflow, Weights & Biases, Docker, Airflow, FastAPI, GitHub Actions
• Github, Jira
• AWS, Azure, GCP, Dataiku, Databricks
  

(ref:hirist.tech)