Senior Data Science Manager
First seen by Alion on Sep 25, 2026.
Job Description :
About the Role :
We are seeking a seasoned AI professional with a strong background in Generative AI, Deep Learning, and Large Language Models (LLMs). As a senior leader, you will play a pivotal role in designing, developing, and scaling cutting-edge generative AI solutions that transform how we interact with data, customers, and products. This is a highly strategic and technical role, ideal for someone who thrives at the intersection of research, engineering, and leadership.
Key Responsibilities :
- Lead the design and development of generative AI solutions, including LLMs, diffusion models, GANs, and transformers.
- Oversee the lifecycle of AI projects from problem framing, data acquisition, model development, to deployment and monitoring.
- Mentor and lead a team of ML/AI engineers and researchers; provide technical guidance and architectural vision.
- Collaborate with cross-functional teams (Product, Engineering, Data Science, Design) to embed AI capabilities into business-critical products.
- Evaluate and implement state-of-the-art open-source or proprietary models (e.g., GPT, Claude, LLaMA, DALL-E, Stable Diffusion).
- Drive model fine-tuning, prompt engineering, RLHF (Reinforcement Learning with Human Feedback), and scalable training strategies.
- Ensure ethical and responsible AI development aligned with industry best practices.
Required Qualifications :
- 12 - 16 years of experience in AI/ML, with at least 3 - 5 years in Generative AI or LLM-based development.
- Advanced degree (PhD or Master's) in Computer Science, Machine Learning, Mathematics, or related field.
- Strong programming skills in Python, and experience with ML/DL frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
- Proven experience working with LLMs (e.g., GPT, BERT, T5, LLaMA) or vision-language models.
- Deep understanding of deep learning architectures : Transformers, Attention Mechanisms, GANs, VAEs, etc.
- Track record of deploying AI models in production environments (MLOps experience is a plus).
- Familiarity with cloud platforms (AWS, Azure, GCP) and scalable model training/inference pipelines.
Preferred Qualifications :
- Experience leading AI research initiatives or contributing to publications.
- Hands-on with vector databases, embedding models, retrieval-augmented generation (RAG).
- Strong understanding of AI ethics, fairness, interpretability, and safety in generative models.
- Prior experience in domains such as healthcare, fintech, enterprise SaaS, or creative industries is a plus.
Why Join Us?
- Work on cutting-edge generative AI applications with real-world impact.
- Be part of a fast-growing, innovation-driven AI team.
- Competitive compensation, flexible work environment, and opportunities for professional growth.
Skills
Generative AI, Python, Deep Learning, Machine Learning, PyTorch, Tensorflow, RAG, LLM, LLama, Data Scientist