Senior Data Scientist

Presight is looking for a Senior Data Scientist who will spearhead our LLM initiatives, optimize existing models, and develop novel applications based on open source LLM or OpenAI API. The successful candidate will ensure the quality and performance of our AI solutions, keeping our technology at the industry's cutting edge.

Responsibilities
Key Responsibilities:

• Develop and optimize LLMs using techniques such as Transformer architectures, attention mechanisms, and tokenization.
• Lead LLM application development, aligning outputs with business needs.
• Collaborate on scalable data pipelines for training LLMs.
• Extract relevant features for machine learning tasks from large datasets.
• Translate technical information for non-technical stakeholders, and mentor junior team members.

Qualifications

• Masters or Ph.D. degree in Computer Science
• 5 - 7 years of experience in the field
• Hands-on experience with GPT, BERT, or related LLMs
• Proficiency in Python, TensorFlow or PyTorch, and NLP libraries such as NLTK, SpaCy, Stanza, etc.
• Experience with vector databases, text embeddings, and their applications in information retrieval or recommendation systems
• Experience with MLOps tools (e.g., Kubernetes, Docker) and practices for model lifecycle management
• Proven problem-solving skills, attention to detail, and the ability to adapt in a fast-paced environment

What We Look For
If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. A bias for action and a passion to conquer new frontiers in the Big Data Analytics space is at the heart of the Presight community.

What Working at Presight Offers

• Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
• Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.
• Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits, and more.