Leverage cutting-edge technologies and methodologies to deliver data-driven insights and solutions for complex customer needs, with a key focus on AI, machine learning, and Natural Language Processing (NLP).
Requirements
- Expertise in Natural Language Processing (NLP)with a deep understanding of the latest NLP stack, including transformer-based architectures such as BERT, GPT, T5, and newer models like GPT-4, PaLM, and other state-of-the-art large language models (LLMs) that are driving the evolution of NLP applications.
- Extensive experiencewith advanced machine learning and deep learning frameworks such as TensorFlow 2.x, PyTorch, Hugging Face, and JAX for NLP and other advanced AI tasks.
- Deep knowledge of cloud services (AWS, GCP, Azure)and their use in data science workflows, particularly for deploying machine learning models at scale.
- Expertise in Python, with advanced knowledge of modern data science and machine learning libraries such asPandas, NumPy, SciPy, scikit-learn, spaCy, as well as cutting-edge NLP frameworks likeHugging Face Transformers, Datasets, andNLTKfor efficient model training, fine-tuning, and data preprocessing.
- Strong programming skills inPython, R, and SQL, with advanced proficiency in handling large-scale data usingdistributed data systemslikeApache Spark,cloud-native NoSQL databasessuch asMongoDB,Cassandra, andDynamoDB, as well as search engines likeElasticsearchandvector databasesfor semantic search (e.g.,Pinecone,Weaviate).
- Hands-on experiencewith data ingestion, data wrangling, and data pipeline orchestration using tools likeApache Kafka,Apache Spark,Airflow, and distributed computing frameworks likeDaskandRay.
- Experience with advanced data science methodologies, includingensemble learning,deep reinforcement learning,transfer learning, and deployinglarge pre-trained modelsfor real-time inference and production.
Responsibilities
- Lead and execute complex customer engagements, utilizing specialized expertise in AI, Machine Learning, and NLP, including building POCs, integrations, and deployments with customer workflows.
- Apply a combination of technical, product, and data science expertise to co-create solutions that address specific customer needs, including ideation, clarification, technical design, and documentation.
- Lead detailed customer presentations for complex technical propositions, focusing on explaining advanced data science concepts and AI/ML solutions in an accessible way.
- Oversee and contribute to the development of Proof of Concepts, ensuring integration with customer workflows and systems.
- Lead the technical design and implementation of AI and machine learning solutions that integrate with existing client infrastructure.
- Drive the adoption of advanced data science and AI technologies to deliver high-value solutions.
- Develop and present strategies for scaling AI solutions, utilizing cloud platforms (Azure, AWS, GCP) for production-ready deployments.
Other
- 10+ years of experiencein data science or a related field, with a focus on AI, machine learning, and NLP, preferably in a senior technical or leadership role.
- Bachelor's or Master's degreein Computer Science, Engineering, Data Science, or related field. A Ph.D. in a relevant field is a plus.
- Manage relationships with internal and external stakeholders, ensuring that project and customer-specific technical requirements are captured, refined, and translated into actionable solutions.
- Lead and mentor junior team members, fostering a collaborative environment for continuous learning and technical growth.
- Demonstrated success in delivering solutions in complex, fast-paced environments with a focus on customer satisfaction and technical excellence.
