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Data Science Innovator: Lead Machine Learning Projects in Python

2 weeks ago

Pune, Maharashtra, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Unlock Your Potential as a Senior Data Scientist in Python

Job Opportunity

Seeking a Highly Motivated and Skilled Data Scientist to Drive Innovation

As a senior data scientist, you will play a pivotal role in designing, implementing, and optimizing machine learning models and algorithms to tackle complex business challenges.

Responsibilities:

  • Design, implement, and optimize machine learning algorithms using R and Python.
  • Work on developing predictive models and decision-making systems.
  • Conduct exploratory data analysis to understand data patterns and insights.
  • Collaborate with data engineers to ensure the availability and quality of data for model training.
  • Deploy machine learning models into production environments.
  • Collaborate with cross-functional teams to integrate models into existing systems.
  • Continuously optimize and improve the performance of machine learning models.
  • Stay updated on the latest advancements in ML algorithms and technologies.
  • Work closely with software engineers to ensure seamless integration of AI/ML solutions.
  • Collaborate with clients to understand their business requirements and customize solutions.

Skills:

  • Excellent programming skills with the ability to implement complex algorithms in Python or R.
  • Experience with cloud-based platforms (AWS, Azure, GCP) for deploying machine learning models.
  • Strong experience of minimum 5 years in developing and implementing machine learning algorithms.
  • Experience with model deployment and integration into production systems.
  • Hands-on experience with use of standard classical machine learning libraries such as Scikit learn, NLTK, OpenCV as well as deep learning libraries Tensorflow, PyTorch, Keras.
  • Understanding of machine learning algorithms, techniques, and concepts (linear regression, logistic regression, decision trees, random forests, neural networks, etc).
  • Experience with data preprocessing, feature engineering, and model evaluation techniques of structured and unstructured data.
  • Proven experience with identifying, creating and selecting relevant features or variables to enhance model performance.
  • Ability to collaborate effectively with cross-functional teams.
  • Previous experience working on real-world AI/ML projects.
  • Should be focused on linear algebra, machine learning, and statistics & probability are preferred.
  • Ability to have a basic knowledge of the LLMs and optimal use of the GenAI models.
  • Strong problem-solving and critical-thinking skills.
  • Excellent communication and collaboration skills.