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Company Overview
A leading technology and data-driven organization is seeking Senior Data Scientists to drive generative AI and advanced machine learning initiatives. The organization focuses on innovative AI solutions across multiple business units, leveraging cutting-edge research in deep learning, NLP, computer vision, and AI-powered products. The team supports large-scale production systems, cloud deployment, and data-driven decision-making for enterprise-grade applications.
Summary
The Senior Data Scientist will be a key member of the in-house AI Center-of-Excellence team, leading advanced AI projects including generative multimodal AI, autonomous agents, NLP, computer vision, and recommender systems. This role combines hands-on technical expertise, research-driven innovation, and mentorship of junior and senior data scientists across multiple teams.
Key Responsibilities
Participate as a member of the AI Center-of-Excellence team, tackling advanced AI challenges and developing experimental models.
Research, design, and implement advanced machine learning algorithms and workflows to meet complex product requirements.
Define hypotheses, execute experiments, evaluate and optimize algorithms, with a focus on scalable and robust cloud deployment.
Provide technical guidance and mentorship to junior and senior data scientists within Kanban-based data squads.
Act as a technical expert in AI, advising on solution design, best practices, and innovative approaches.
Collaborate with business stakeholders to translate requirements into impactful AI features and products.
Work closely with cross-functional teams including data scientists, data engineers, and data strategists.
Manage end-to-end AI processes, including cloud and on-premises GPU compute resources for training large models and serving inference APIs.
Qualifications
PhD in Computer Science, Machine Learning, or related AI discipline (exceptional candidates without advanced degrees may be considered).
Strong problem-solving skills and experience as a technical lead.
Advanced programming skills in Python and proficiency in algorithm design, data structures, and SQL.
Intermediate-level mastery of functional/object-oriented programming using languages such as Scala, TypeScript/JavaScript, Java, or C#.
Hands-on experience with big-data processing frameworks such as Spark and Kafka.
Minimum 3 years of relevant industry experience in shallow and deep machine learning.
Experience with LLM APIs (OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, Meta LLaMA 2) and prompt engineering frameworks (LlamaIndex, LangChain).
Expertise in GPU-accelerated deep learning frameworks such as PyTorch or TensorFlow.
Proven ability to train, adapt, and deploy state-of-the-art AI models in production.
Familiarity with Bayesian statistics, causal networks, and probabilistic reasoning.
Experience with public cloud environments (AWS, Azure, GCP).
Excellent mentoring, interpersonal, and communication skills for both technical and non-technical stakeholders.
Experience with Agile, Scrum, or Kanban methodologies is a plus.
Disclaimer
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1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality. 2. No Client Relationship: This company is not a client of SpringCube unless stated. 3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job. 4. No Liability: SpringCube is not liable for inaccuracies.
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