Data Scientist Leader for AI Innovation
3 days ago
We are seeking an exceptional Data Scientist to lead the development and deployment of machine learning models at Hexaview Technologies private Limited.
About UsAt Hexaview Technologies, we empower businesses to make informed decisions through cutting-edge data analytics solutions. Our team is dedicated to delivering innovative technology that drives growth and efficiency.
Salary Range: ₹1,200,000 - ₹1,800,000 per annum (dependent on qualifications and experience)
Job DescriptionThis role involves collaborating with cross-functional teams to design, develop, and deploy data-driven solutions for complex business challenges. The ideal candidate will have a strong background in machine learning, Python programming, and cloud platforms.
- Key Responsibilities:
- Lead the development of end-to-end machine learning projects from problem formulation and data collection to model evaluation and deployment.
- Evaluate model performance over time and integrate machine learning solutions into production systems.
- Work closely with product managers, data scientists, software engineers, and stakeholders to translate business requirements into technical solutions.
Requirements:
- A minimum of 3-5 years of professional experience in designing, developing, and deploying machine learning models in a production environment.
- Strong proficiency in Python and experience with machine learning libraries/frameworks such as H2o, scikit-learn, TensorFlow, or PyTorch.
- Demonstrated expertise in various machine-learning techniques and solid understanding of software engineering principles, version control, and agile development methodologies.
- Experience with cloud platforms like AWS, Azure, or GCP, and containerization technologies like Docker or Kubernetes.
- Proven track record of leading and delivering complex machine-learning projects from conception to deployment.
- Excellent problem-solving skills and the ability to work collaboratively in a fast-paced team environment.
- Good communication skills to explain technical concepts to both technical and non-technical stakeholders.
Mandatory Requirements:
- A minimum of 4 years of hands-on coding experience in Python.
- Deep hands-on exposure to mathematical and statistical concepts like probability theory, set theory, linear algebra, probability distribution functions, hypothesis testing, etc.
- Mathematical understanding of Machine Learning and optimization algorithms such as Linear and Logistic Regressions, Gradient Descent, MLE, Bagging, and Boosting, etc.
- Model deployment and monitoring experience in any one of the Cloud Systems: GCP (Vertex AI), AWS (Sagemaker or BedRock), Azure (Azure ML).
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