Lead Data Model Architect

4 days ago

Tiruppur, Tamil Nadu, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Artificial Intelligence/Machine Learning Engineer

This role involves designing and implementing advanced data models to support strategic business objectives.

You will work closely with cross-functional teams to turn complex data into actionable insights.

  • Develop and deploy machine learning models using Python, PyTorch, scikit-learn, and other relevant libraries.
  • Extract meaningful patterns from large datasets and communicate findings to stakeholders.
  • Design and implement data-driven solutions, including real-time and batch processing systems.
  • Collaborate with engineers to build scalable and efficient data pipelines.

The ideal candidate will bring a strong background in developing and deploying AI/ML models and building scalable, data-driven solutions.

We are looking for a highly skilled engineer to join the team.

Key Responsibilities:

1. Develop and maintain robust engineering-grade code that integrates seamlessly into production environments.

2. Work closely with cross-functional teams to drive measurable business outcomes.

3. Collaborate with engineers to build scalable and efficient data pipelines.

4. Stay up-to-date with industry trends and advancements in AI/ML.

Required Skills:

1. 5+ years of experience in AI/ML and software development.

2. Strong proficiency in Python and relevant libraries, including PyTorch, scikit-learn, and pandas.

3. Experience with machine learning model development, deployment, and maintenance.

4. Strong understanding of data structures, algorithms, and software design patterns.

5. Experience with databases, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).

6. Experience with GitHub, Docker, and AWS.

7. Familiarity with RESTful API design and development.

8. Experience with real-time and batch processing systems.

Nice to Have:

1. Experience with time series forecasting and analysis.

2. Knowledge of deep learning frameworks like TensorFlow or Keras.

3. Familiarity with natural language processing (NLP).

4. Experience with data visualization tools like Matplotlib, Seaborn, or Plotly.

5. Knowledge of Agile development methodologies and Scrum framework.

6. Experience with cloud platforms like AWS SageMaker, Google Cloud AI Platform, or Azure Machine Learning.

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