Data Scientist

Area(s) of responsibility Key Responsibilities: Technical Prowess: • Technical Architecture: Design and implement scalable data pipelines, machine learning models, and NLP systems. • Code Review and Mentoring: Provide guidance and mentorship to team members on code quality, best practices, and technical challenges. • Research and Innovation: Stay abreast of the latest advancements in deep learning, NLP, and GenAI, identifying opportunities for innovation and improvement. Deep Learning and NLP Expertise: • Model Development: Build and optimize deep learning models using TensorFlow, Theano, or other relevant frameworks. • NLP Solutions: Develop and implement NLP solutions for tasks such as text classification, named entity recognition, sentiment analysis, and language generation. • GenAI Integration: Leverage GenAI tools to enhance existing models and develop innovative solutions for complex language-related problems. Python and API Development: • Python Proficiency: Demonstrate strong programming skills in Python, including expertise in data manipulation, scientific computing libraries, and web frameworks. • API Design and Implementation: Develop RESTful APIs to integrate machine learning and NLP models into existing systems. • Streamlit: Utilize Streamlit for building interactive data applications and dashboards. Communication and Collaboration: • Effective Communication: Clearly articulate technical concepts to both technical and non-technical stakeholders. • Team Collaboration: Foster a collaborative environment within the team and effectively communicate with other departments. • Cross-Functional Collaboration: Work closely with product managers, engineers, and business analysts to understand requirements and deliver impactful solutions. Qualifications: • Education: Master's or Ph.D. in Computer Science, Data Science, or a related field. • Experience: • Overall 10 – 15 years of experience with 7+ years of experience in data science or machine learning, with a proven track record of delivering production-ready solutions. • 2+ years of experience leading technical teams. • Strong expertise in Python, deep learning frameworks (TensorFlow, Theano), NLP libraries (spaCy, NLTK, Hugging Face), and GenAI tools. • Experience with API development (Flask, FastAPI) and Streamlit) Preferred Skills: • Cloud Platforms: AWS, Azure, GCP • Big Data Technologies: Spark, Hadoop • MLOps: Experience with model deployment, monitoring, and continuous integration/continuous delivery (CI/CD) pipelines.