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Sr.Data Scientist (NLP)


Akaike Technologies


Location

Bangalore | India


Job description

Role:

Data Science (NLP) Location:

Bengaluru (Hybrid) Experience:

4+ years

Job Description: We are seeking an experienced NLP Data Scientist to join our team. The ideal candidate will have a strong background in Natural Language Processing (NLP), Machine Learning, and Data Science. You will be responsible for developing and implementing NLP models to solve complex business problems.

Responsibilities Develop and implement NLP models to solve complex business problems using deep learning algorithms and neural networks Perform exploratory data analysis to gain insights into the data and develop data preprocessing pipelines for text data Work with stakeholders to define project requirements and scope, and collaborate with cross-functional teams to implement solutions Perform statistical analysis and evaluate model performance using appropriate metrics. Communicate findings and insights to technical and non-technical stakeholders Keep up-to-date with the latest developments in NLP and related fields

Requirements Bachelor's or Master's degree in Computer Science, Data Science, or a related field Minimum 4+ years of experience in NLP, Machine Learning, and Data Science Experienced Team Leads proficient in team management, coaching, mentoring, and decision-making. Strong background in customer stakeholder management Foster a collaborative and innovative team environment, encouraging knowledge sharing, best practices, and continuous learning. Set clear performance objectives, conduct regular performance evaluations, and provide constructive feedback to team members. Oversee and prioritize the team's project portfolio, ensuring projects are delivered on time and within budget. Collaborate with stakeholders to define project goals, requirements, and deliverables, ensuring alignment with business objectives. Monitor project progress, identify potential roadblocks, and proactively implement solutions to ensure successful project completion. Understanding of Project Life Cycle and adherence to project documentation Strong programming skills in Python and proficiency in other programming languages such as C++, Javascript, and Bash are appreciated. Experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras Strong understanding of BERT and other transformer models and the role of attention mechanism. Hands-on experience using NLP algorithms and techniques such as text pre-processing, language modeling, information extraction, sentiment analysis, topic modeling, machine translation, and Information Retrieval. Comprehensive understanding of evaluating NLP models using a range of benchmarking metrics, including but not limited to precision, recall, WER, BLEU score, ROUGE, METEOR, AUC-ROC, F1-score, and coherence Experience with data ingestion from databases like MySQL, MongoDB, etc. and data manipulation and visualization tools such as Pandas, NumPy, Matplotlib, Plotly Familiarity with cloud platforms such as AWS, GCP, or Azure and experience with deploying models to production environments using docker containers using version control tools like Git. Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders Proven track record of delivering NLP solutions that provide business value


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