Data Scientist - NLP/Deep Learning

Objective of this role : - Collaborate with product design and engineering teams to develop an understanding of needs. - Research and devise innovative statistical models for data analysis. - Build innovative models and integrate them in our product. - Communicate findings to all stakeholders. - Keep current with technical and industry developments. Key Responsibilities : Custom Model Development : - 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. Model Training and Evaluation : - 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. Data Preprocessing and Feature Engineering : - 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. Algorithm Optimization : - Explore and experiment with various machine learning algorithms to identify the best fit for specific use cases. - Optimize algorithms for speed, scalability, and accuracy. Deep Learning and NLP : - Develop and implement deep learning models for complex tasks such as image recognition, speech recognition, and natural language processing (NLP). - Work on NLP projects including text classification, sentiment analysis, named entity recognition, and machine translation. Collaboration and Documentation : - Work closely with cross-functional teams to integrate machine learning solutions into production environments. - Document the development process, including methodologies, code, and results for reproducibility and knowledge sharing. Qualifications : Experience : - 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. Technical Skills : - Proficiency in Python and familiarity with machine learning libraries such as TensorFlow, PyTorch, Scikit-Learn, and Keras. - 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. Deep Learning and NLP Skills : - 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. - Strong understanding of deep learning architectures (e.g, CNNs, RNNs, LSTMs) and their applications in NLP tasks. Additional Skills : - 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 : - Excellent problem-solving skills and the ability to troubleshoot complex issues. - Strong communication and collaboration skills. - Ability to work independently and as part of a team. - Detail-oriented with a focus on delivering high-quality results. (ref:hirist.tech)

Location: pune, IN

Posted Date: 11/24/2024