Job Description
The Opportunity- Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
- Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.
- Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats.
- Design and deploy machine learning models for threat classification, anomaly detection, and risk scoring.
- Build LLM-based agents capable of contextual reasoning, summarization, classification, and workflow execution.
- Engineer prompt strategies and structured evaluation frameworks to ensure reliability and repeatability.
- Develop multi-agent systems that automate operational tasks and drive measurable workforce efficiency gains.
- Integrate AI outputs into enforcement platforms (e.g., conditional access triggers, device isolation logic, adaptive workflows).
- Implement regression, classification, clustering, or anomaly detection models aligned to real-world telemetry.
- Design guardrails, kill switches, and rollback mechanisms to ensure safe AI deployment in regulated environments.
- Partner with Data Engineering to develop feature pipelines and production-ready datasets.
- Build model monitoring and feedback loops to continuously improve precision and reduce false positives.
- Contribute to ontology-driven reasoning and entity-aware AI decisioning where applicable.
- 3–6+ years of hands-on AI/ML engineering experience.
- Strong proficiency in Python and modern ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, or equivalent).
- Experience deploying production AI systems integrated into enterprise platforms or APIs.
- Demonstrated experience with LLM-based systems, prompt engineering, or agent-based workflows.
- Strong understanding of supervised and unsupervised learning techniques.
- Experience building evaluation metrics for model performance and business impact.
- Ability to translate ambiguous operational problems into structured AI solutions.
- Strong systems-thinking mindset and engineering discipline.
- Experience building multi-agent orchestration systems.
- Familiarity with Microsoft Defender XDR, Sentinel, KQL, or related security platforms.
- Experience with Microsoft Copilot Studio or similar enterprise AI orchestration tools.
- Exposure to MITRE ATT&CK mapping, risk engines, or behavioral threat modeling.
- Experience integrating AI outputs into automation platforms (ServiceNow, Logic Apps, API-driven workflows).
- Experience implementing AI governance, drift monitoring, and production lifecycle management.
- Familiarity with graph-based reasoning or ontology-driven AI models.
- Deploy at least one AI-driven agent or model integrated into a live enterprise workflow.
- Demonstrate measurable reduction in manual triage, operational steps, or ticket volume.
- Establish monitoring and evaluation frameworks for model performance.
- Deliver AI outputs that can safely trigger conditional automation actions.
- Own critical AI decisioning logic used in autonomous security workflows.
- Contribute directly to platform-level enforcement and measurable efficiency gains.
- Enable explainable AI outputs suitable for governance and executive review.
- Be recognized as a core builder of autonomous defense and operational optimization capabilities.
#HYDIT2025
Required Skills:
Data Engineering, Design Applications, Information Security, LLM Architecture, Machine Learning (ML), Software Development, Software Development Life Cycle (SDLC), System Designs, System Integration, TestingPreferred Skills:
Current Employees apply HERE
Current Contingent Workers apply HERE
Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
RegularRelocation:
DomesticVISA Sponsorship:
NoTravel Requirements:
No Travel RequiredFlexible Work Arrangements:
HybridShift:
Not IndicatedValid Driving License:
NoHazardous Material(s):
n/aJob Posting End Date:
07/23/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Skills Required
- 3-6+ years of hands-on AI/ML engineering experience
- Strong proficiency in Python
- Experience with modern ML frameworks (scikit-learn, PyTorch, TensorFlow or equivalent)
- Experience deploying production AI systems integrated into enterprise platforms or APIs
- Demonstrated experience with LLM-based systems, prompt engineering, or agent-based workflows
- Strong understanding of supervised and unsupervised learning techniques
- Experience building evaluation metrics for model performance and business impact
- Ability to translate ambiguous operational problems into structured AI solutions
- Experience building multi-agent orchestration systems
- Familiarity with Microsoft Defender XDR, Microsoft Sentinel, and KQL
- Experience with Microsoft Copilot Studio or similar enterprise AI orchestration tools
- Exposure to MITRE ATT&CK mapping, risk engines, or behavioral threat modeling
- Experience integrating AI outputs into automation platforms (ServiceNow, Logic Apps, API-driven workflows)
- Experience implementing AI governance, drift monitoring, and production lifecycle management
- Familiarity with graph-based reasoning or ontology-driven AI models
- Background in Data Engineering, System Integration, SDLC, testing, and system design
What We Do
MSD Animal Health Technology Labs specializes in the development of animal health management solutions. We are a multidisciplinary product company, a diverse team of ~450 closely collaborating scientists, AI experts, software, hardware, and mechanical engineers… working alongside veterinarians and other animal experts. Our passion? Shaping the future of animal health and well-being (for much better!). Our products and platforms identify trends and predict the likelihood of health outcomes for HUNDREDS of MILLIONS of animals each year, from pets, to poultry, farm animals, and even fish. We provide actionable insights for veterinarians, farmers, and producers, changing the way people care for animals in 150 markets. So, if you’re looking to work in a company that combines pioneering science and technology, dedicated colleagues, and animals, you’ll find it all here – come join us! Visit our website: https://www.msd-animal-health.com/animal-health-intelligence/technology-labs/
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