Associate Director

3 weeks ago

Hyderabad, India Talent Worx Full time

Key Responsibilities : - Lead and mentor a team of NLP engineers and data scientists to deliver world-class NLP solutions.- Study and refine data science prototypes to convert them into scalable production models.- Design and develop NLP applications aligned with product and business goals.- Select and curate appropriate annotated datasets for supervised learning methods.- Implement effective text representation techniques (e.g., embeddings, transformers, n-grams) to convert natural language into features for ML pipelines.- Research, evaluate, and implement the best algorithms and tools for NLP tasks such as sentiment analysis, named entity recognition, and text classification.- Train, evaluate, and optimize machine learning models; perform statistical analyses to refine performance.- Integrate NLP models into production systems and deploy them at scale.- Extend or build on machine learning libraries to meet custom NLP requirements.- Stay up to date with emerging trends in machine learning, deep learning, and generative AI, and guide the team in adopting cutting-edge Skills : - Programming Languages : Expert in Python; proficient in Java (C++ optional).- NLP Frameworks & Libraries : Hugging Face Transformers, spaCy, NLTK, Gensim.- Machine Learning/DL Frameworks : TensorFlow, PyTorch, Scikit-learn.- Text Representation Techniques : Bag of Words, TF-IDF, Word2Vec, GloVe, BERT, Sentence Transformers.- Algorithms & Models : Classification algorithms (SVM, Random Forest), sequence models (LSTMs, GRUs), attention-based and transformer architectures.- Data Handling : Pandas, NumPy, and tools for statistical analysis.- MLOps & Deployment : Git, Docker, Kubernetes, MLflow, REST APIs, CI/CD pipelines.- Cloud Platforms : AWS, Azure, or GCP for scalable deployments.- Big Data Tools (Preferred) : Apache Spark, Hadoop, or data lake & Qualifications : - Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.- Proven track record of leading NLP projects and deploying solutions in production environments.- Relevant certifications in AI/ML or cloud technologies (e.g., AWS ML Specialty, TensorFlow Developer) are a Attributes : - Strong leadership, mentoring, and cross-functional collaboration skills.- Excellent communication and problem-solving abilities.- Strategic thinker who can balance technical depth with business priorities.- Passion for staying ahead in the rapidly evolving AI/NLP landscape. (ref:hirist.tech)

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