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383 Sandoz Jobs

Sr. Specialist - AI/ML

8-9 years

₹ 9 - 13.75L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Hyderabad / Secunderabad

1 vacancy

Sr. Specialist - AI/ML

Sandoz

posted 1d ago

Job Description

Location: Hyderabad
As an AI Technical Specialist, you will play a key role in developing and implementing advanced AI solutions, working closely with suppliers and vendors to ensure successful rollout and integration

Job Description
Major Accountabilities
  • Solution Development: Design and implement scalable Generative AI solutions for applications such as drug discovery, medical writing automation, clinical trials, regulatory submissions, and real-world evidence generation.
  • LLM Development & Optimization: Collaborate with data scientists and ML engineers to develop, fine-tune, and optimize large language models (LLMs) for life sciences applications, including scientific literature analysis, regulatory intelligence, and patient engagement.
  • AI Infrastructure: Contribute to the design of Generative AI solutions leveraging cloud platforms (AWS, Azure, GCP) or on-premises infrastructure, ensuring data security and regulatory compliance.
  • MLOps & Deployment: Implement best practices for GenAI model deployment, monitoring, and lifecycle management within GxP-compliant environments.
  • Compliance & Governance: Ensure Generative AI solutions comply with regulatory standards (FDA, EMA, GDPR, HIPAA, GxP, 21 CFR Part 11) and adhere to responsible AI principles, including bias mitigation.
  • Performance Optimization: Drive efficiency in generative AI models, focusing on cost optimization and scalability while maintaining data integrity and compliance.
  • Stakeholder Collaboration: Work with cross-functional teams, including platform teams and engineering teams from various suppliers/vendors, to align Generative AI initiatives with enterprise and industry-specific requirements.
  • Research & Innovation: Stay current with the latest advancements in Generative AI, multimodal AI, AI agents, and synthetic data generation to incorporate emerging technologies.
Required Qualifications:
  • Bachelor s or master s degree in computer science, AI, Data Science, Bioinformatics, or a related field.
  • Experience: 8+ years experience in Big data, AI/ML development with at least 6 years in an AI/ML role in pharma, biotech, or life sciences.
  • Technical Expertise:
    • Strong proficiency in Generative AI, large language models (LLMs), multimodal AI, and deep learning for pharma applications.
    • Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, Scikit-learn, etc.).
    • Experience with data engineering, ETL pipelines, and big data technologies (Spark, Kafka, Databricks, etc.).
    • Knowledge of cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI).
    • Experience in the deployment of a Lightweight LLM in a Pharma SaaS Platform
  • MLOps & DevOps: Familiarity with CI/CD, containerization (Docker, Kubernetes), vector databases, and real-time model monitoring.
  • Regulatory & Ethical AI: Understanding of AI governance, responsible AI principles, and compliance requirements for Generative AI in pharma.
  • Problem-Solving: Strong analytical and problem-solving skills with the ability to develop innovative Generative AI solutions for life sciences use cases.
  • Communication: Good communication skills to articulate AI solutions to technical and non-technical stakeholders.

Employment Type: Full Time, Permanent

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What people at Sandoz are saying

4.2
 Rating based on 9 Specialist reviews

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Specialist salary at Sandoz

reported by 53 employees with 5-12 years exp.
₹7.5 L/yr - ₹15 L/yr
12% more than the average Specialist Salary in India
View more details

What Sandoz employees are saying about work life

based on 413 employees
69%
52%
55%
93%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Sandoz Benefits

Submitted by Company
Competitive compensation
Pay equity
Pay for sustainable performance
Differentiated benefits and wellbeing programs
Values & integrity
Balanced rewards
Submitted by Employees
Free Transport
Health Insurance
Cafeteria
Job Training
Free Food
Soft Skill Training +6 more
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