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Lead Data Scientist

2 weeks ago

Ahmedabad, Gujarat, India DXFactor Full time

**About Us**

DXFactor is a Great Place to Work certified company that offers a dynamic work environment for professionals seeking to leverage their expertise in data science and machine learning.

We are a US-based tech company with clients across the globe, including Fortune 500 companies. Our team works together to deliver innovative solutions that drive business growth and success.


**Job Overview**

We are looking for an experienced Data Scientist with a strong background in machine learning to join our team as a Lead Data Scientist. In this role, you will be responsible for designing, developing, and implementing end-to-end data science pipelines that drive business value.


**Key Responsibilities**

  • Design and develop data science pipelines that integrate various data sources and provide actionable insights
  • Gather, clean, and preprocess data from multiple sources to ensure its quality and accuracy
  • Build, train, and evaluate machine learning models using appropriate algorithms and techniques
  • Develop prompts for large language models (LLMs) and other generative AI systems to enhance their performance
  • Deploy models to production environments and monitor their performance to ensure optimal results
  • Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions
  • Document processes, methodologies, and results to ensure knowledge sharing and collaboration
  • Stay up-to-date with the latest trends and advancements in data science and machine learning to continuously improve skills and expertise


**Required Skills and Qualifications**

  • Minimum 2+ years of professional experience in data science or related roles
  • Strong proficiency in Python and popular data science libraries such as pandas, NumPy, scikit-learn, etc.
  • Experience with common machine learning algorithms, including decision trees, linear/logistic regression, random forest, XGBoost, and other supervised and unsupervised learning methods
  • Demonstrated experience with prompt engineering for LLMs and generative AI models
  • In-depth knowledge of Agentic GenAI architecture and applications
  • Knowledge of deep learning frameworks such as TensorFlow and PyTorch
  • Ability to build APIs using Flask, Django, or FastAPI
  • Familiarity with MLOps practices and tools such as MLflow and Kubeflow
  • Experience with cloud platforms such as AWS, GCP, and Azure
  • Strong analytical and problem-solving skills


**What We Offer**

We offer a competitive salary package, opportunities for career growth and development, and a collaborative work environment that encourages innovation and creativity. If you are passionate about data science and machine learning, and have the skills and experience required for this role, we encourage you to apply.