Data Science Expert for Machine Learning and NLP

1 month ago

Pune, Maharashtra, India Data Dynamics Full time

About Data Dynamics

We are a forward-thinking organization seeking a highly skilled Data Science Expert for Machine Learning and NLP to join our team. As a key member of our data science division, you will be responsible for developing and deploying innovative machine learning models to drive business growth.

Estimated Salary: $140,000 - $180,000 per year

Job Description

In this role, you will collaborate with cross-functional teams to understand complex business problems and develop tailored solutions using machine learning algorithms. Your expertise in deep learning and natural language processing (NLP) will enable us to extract insights from large datasets and make data-driven decisions.

Main Responsibilities:

  • Design, develop, and deploy custom machine learning models to solve complex business problems.
  • Collaborate with data scientists and stakeholders to understand requirements and translate them into technical solutions.
  • Implement and optimize machine learning algorithms to train models on custom datasets.
  • Evaluate model performance using appropriate metrics and refine models to enhance accuracy and efficiency.
  • Perform data preprocessing tasks such as cleaning, normalization, and transformation to prepare data for model training.
  • Develop and implement feature engineering techniques to extract meaningful features from raw data.
  • Explore and experiment with various machine learning algorithms to identify the best fit for specific use cases.
  • Optimize algorithms for speed, scalability, and accuracy.
  • Develop and implement deep learning models for complex tasks such as image recognition, speech recognition, and NLP.
  • Work on NLP projects including text classification, sentiment analysis, named entity recognition, and machine translation.
  • Document the development process, including methodologies, code, and results for reproducibility and knowledge sharing.

Requirements

To succeed in this role, you will need:

  • A minimum of 4-5 years of hands-on experience in machine learning model development and deployment.
  • Proven experience in training and fine-tuning machine learning models on custom datasets.
  • Proficiency in Python and familiarity with machine learning libraries such as TensorFlow, PyTorch, Scikit-Learn, and Keras.
  • A strong understanding of various machine learning algorithms (e.g, regression, classification, clustering, neural networks) and their applications.
  • Experience with data preprocessing and feature engineering techniques.
  • Knowledge of optimization techniques and best practices for model training.
  • Proficiency in developing and deploying deep learning models using frameworks like TensorFlow or PyTorch.
  • Experience with NLP libraries and frameworks such as NLTK, SpaCy, Hugging Face Transformers, and BERT.
  • A strong understanding of deep learning architectures (e.g, CNNs, RNNs, LSTMs) and their applications in NLP tasks.

Bonus Points

Familiarity with version control systems (e.g, Git) and collaborative development workflows.

Experience with cloud platforms (e.g, AWS, GCP, Azure) for machine learning model deployment.

Understanding of big data technologies and frameworks (e.g, Hadoop, Spark) is a plus.

Soft Skills

We are looking for someone with excellent problem-solving skills, strong communication and collaboration skills, and the ability to work independently and as part of a team.

About You

If you are passionate about machine learning and NLP, have a strong track record of delivering high-quality results, and enjoy collaborating with cross-functional teams, we want to hear from you

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