
Visionary AI Leader
4 days ago
Job Opportunity: Lead Data Scientist
Drive Innovation in AI and Machine Learning with our esteemed organization.
- Define and execute a comprehensive AI/ML strategy aligned with business objectives.
- Lead cutting-edge research, design, and development of machine learning and deep learning models, including LLMs, GANs, VAEs, Transformers, CNNs, and RNNs.
- Establish best practices for data pipelines, feature engineering, model deployment, and AI governance.
- Evaluate emerging AI/ML technologies and recommend their adoption where beneficial.
- Architect and implement Generative AI solutions with a focus on improving conversational AI experiences.
- Optimize LLMs (GPT, BERT, T5, etc.) for various business applications, including prompt engineering, fine-tuning, and model interpretability.
- Work on text generation, semantic search, intent recognition, and AI-driven recommendation systems.
The ideal candidate should possess expertise in NLP, Large Language Models (LLMs), Generative AI, and MLOps to lead the development of scalable AI-driven solutions.
Responsibilities include:
- Mentoring junior team members on best practices in data science, deep learning, and software engineering.
- Partnering with engineering, product management, and business stakeholders to integrate AI solutions into production.
- Conducting code reviews, design discussions, and knowledge-sharing sessions.
Qualifications & Experience:
- Education: Bachelor's or Master's in Computer Science, Data Science, AI, Statistics, or a related field.
- Experience: 5+ years of hands-on experience in machine learning, deep learning, NLP, and AI-driven applications.
- Machine Learning & AI: Proficiency in Classical ML (Regression, Decision Trees, Random Forests, SVMs, Gradient Boosting, etc.) and Deep Learning (CNNs, LSTMs, GANs, Transformers, etc.).
- LLM & NLP Expertise: Strong experience with GPT, BERT, T5, Hugging Face Transformers, NLTK, and SpaCy.
- Programming & Tools: Proficiency in Python, PyTorch, TensorFlow, NumPy, Pandas, Scikit-learn, and MLOps tools (MLflow, Kubernetes, Docker, AWS SageMaker, Azure ML, etc.).
- Big Data & Cloud: Experience working with large-scale datasets, cloud-based AI solutions (AWS, Azure, GCP), and distributed computing frameworks (Spark, Dask, Hadoop).
- Model Deployment: Strong understanding of APIs, CI/CD pipelines for ML models, containerization (Docker, Kubernetes), and model monitoring.
Soft Skills & Leadership:
- Strong leadership skills with the ability to mentor and develop junior data scientists.
- Exceptional problem-solving and critical-thinking abilities.
- Strong communication skills to effectively convey complex AI concepts to business stakeholders.
- Proactive ownership of projects, ensuring timely delivery and alignment with business needs.
- Ability to manage multiple projects and prioritize effectively in a fast-paced environment.
Key qualities sought in this role include a proven track record of driving AI innovation, strong technical leadership skills, and excellent communication abilities to bridge gaps between technical teams and business stakeholders.
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