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Senior Data Science Architect
1 month ago
Job Summary:
We are seeking a highly skilled Senior Data Science Architect to join our team at HCL Technologies. The successful candidate will be responsible for designing and architecting large-scale data science solutions, leveraging their expertise in machine learning, artificial intelligence, and cloud computing.
Key Responsibilities:
- Design and develop large-scale data science solutions, ensuring scalability, performance, and security.
- Train and develop a team of data scientists to ensure a sufficient supply of trained manpower in the said technology and mitigate delivery risks.
- Continuously upskill with cutting-edge technologies to deliver high-quality, future-proof solutions meeting client expectations and industry standards.
- Leverage domain and technical expertise to gather client needs, deliver solutions, and craft a technology strategy aligned with business goals.
Requirements:
- 8-10 years of experience in developing data science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the MedTech, Healthcare, and Life Sciences domain.
- Strong skills in UNIX/Linux environments and command-line tools.
- Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models.
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AIML solutions as a service/REST API on Cloud or Kubernetes.
- Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools.
Preferred Qualifications:
- Specialization in Natural Language Processing is preferred.
- Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc.
- Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services.
What We Offer:
- A competitive salary and benefits package.
- A dynamic and supportive work environment.
- Opportunities for career growth and professional development.
How to Apply:
If you are a motivated and experienced data science professional looking for a new challenge, please submit your resume and a cover letter to [insert contact information].
