Artificial Intelligence Specialist

7 days ago

India PharmSight Research and Analytics Full time
About PharmSight Research and Analytics

PharmSight Research and Analytics is a leading innovator in bio-pharma analytics, providing cutting-edge AI-powered solutions that transform product research, market intelligence, and healthcare decision-making. Our team is dedicated to improving patient outcomes and driving advancements in the pharmaceutical industry through the application of advanced artificial intelligence.

Why Work with Us?

  • Competitive Compensation Package: Best-in-class salary with structured career progression
  • Flexible Work Environment: Option to work from anywhere, at any time
  • Global Client Exposure: Collaborate with leading pharmaceutical companies on impactful projects
  • Career Growth & Recognition: A flat hierarchy with ample opportunities for leadership and professional development

Job Overview

As an AI Developer/Engineer at PharmSight Research and Analytics, you will be at the forefront of designing, developing, and deploying generative AI applications using state-of-the-art large language models (LLMs). You will be instrumental in crafting innovative AI solutions that solve complex challenges in bio-pharma analytics, product research, and market intelligence, directly impacting our clients ability to make data-driven decisions. This role demands a unique combination of deep technical expertise, creative problem-solving, and a passion for advancing AI technologies within the healthcare and pharmaceutical domains.

Key Responsibilities:

  • Architect, implement, and optimize large language models (LLMs) such as GPT, LLaMA, and BERT, tailoring them to the specific needs of bio-pharma analytics, product research, and market intelligence
  • Experiment with diverse model architectures, hyperparameters, and training methodologies to maximize performance for targeted healthcare and pharmaceutical applications
  • Fine-tune pre-trained models to address domain-specific challenges, ensuring exceptional accuracy, relevance, and contextual understanding
  • Design and refine prompts to optimize LLM performance in generating accurate, insightful, and actionable outputs
  • Develop instruction-tuning pipelines that align model behavior with specific business objectives and user requirements
  • Continuously iterate on prompt strategies to enhance model interpretability and mitigate the risk of hallucinations or irrelevant outputs
  • Conduct rigorous evaluations of LLMs using industry-standard metrics such as perplexity, BLEU, ROUGE, and domain-specific accuracy scores
  • Perform in-depth error analysis, bias detection, and fairness audits to ensure models meet the highest ethical and regulatory standards
  • Benchmark model performance against industry best practices and competitor solutions to maintain a competitive edge and drive continuous improvement
  • Deploy LLMs into production environments, ensuring scalability, reliability, and low-latency performance to meet the demands of real-world applications
  • Optimize models for inference speed and resource efficiency through techniques like quantization, distillation, and pruning
  • Implement robust monitoring systems to track model performance in real-time and deploy timely updates to address drift or degradation in output quality
  • Collaborate closely with data engineers and analysts to seamlessly integrate LLM outputs into PharmSight's analytics platforms
  • Leverage graph databases (e.g., vector graphs, hybrid graphs) to enhance structured knowledge extraction from unstructured text
  • Develop APIs and intuitive interfaces that facilitate seamless interaction between LLMs and other critical system components
  • Remain at the forefront of LLM research, actively exploring advancements in areas such as few-shot learning, reinforcement learning from human feedback (RLHF), and multimodal models
  • Prototype and rigorously test emerging techniques to enhance model capabilities and address novel challenges in the bio-pharma domain
  • Contribute findings to open-source projects, publish research insights, and represent PharmSight in AI research communities
  • Work collaboratively with cross-functional teams including data scientists, product managers, and domain experts, ensuring that LLM development is aligned with critical business goals
  • Mentor junior developers and analysts, providing guidance on LLM techniques, coding best practices, and emerging trends in AI

Requirements

  • Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
  • AI & ML Experience: 3+ years of hands-on experience in AI/ML development, with a strong focus on large language models (LLMs)
  • Expertise in Python and deep learning frameworks (e.g., TensorFlow, PyTorch)
  • Solid understanding of prompt engineering, model optimization, and NLP techniques
  • Healthcare/Pharma Knowledge: Solid understanding of healthcare data, bio-pharma industry dynamics, and regulatory requirements
  • Analytical Mindset: Exceptional problem-solving skills with the ability to translate business needs into innovative AI-driven solutions
  • Communication Skills: Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams and explain complex AI concepts to non-technical stakeholders
  • (Bonus Skill) Experience in MLOps (e.g., Docker, Kubernetes, CI/CD pipelines, model monitoring)
  • (Bonus Skill) Proficiency in cloud platforms (AWS, Azure, or GCP) for scalable AI deployment
  • (Bonus Skill) Experience with knowledge graph construction and multimodal data integration (Eg, Neo4j, Entity extraction, nodes extraction)

Join Our Team

We offer a comprehensive benefits package and the opportunity to work on cutting-edge AI projects that are transforming the pharmaceutical industry. We are committed to fostering a collaborative and innovative work environment where you can grow your skills and make a real impact.

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