Platform Product Manager, AI/ML

at Valgenesis

Chennai, onsite, full time, 3+ years

posted 08 Apr 2026

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SAS
scikit-learn
SPC
Machine Learning
R
NLP
ANOVA
PLS
Agile
DOE
AWS
Python
Probabilistic modeling
Azure
SHAP
Generative AI
Regression
Clustering
Forecasting
Unsupervised learning
Anomaly detection
PCA
pandas
MLOps
GCP
Supervised learning
LIME
Statistical Modeling
statsmodels
Time-series analysis
MSPC

About the role

Posted: 2026-04-08

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.valgenesis.com/about

What you would do

Platform AI/ML Product Strategy

• Define and own the product strategy and roadmap for AI/ML and statistical capabilities as core platform services leveraged across multiple product domains (e.g., CPV, Process Management, Validation, Quality).

• Establish a unified AI/ML platform vision, including reusable models, services, and APIs that can be embedded across the ValGenesis product suite.

• Drive the evolution from fragmented statistical tooling to scalable, cloud-native, AI-powered platform capabilities.

• Identify and prioritize opportunities to apply machine learning, statistical modeling, and generative AI to improve decision-making, automation, and insights across the platform.

• Partner closely with AI/ML engineering and data platform teams to align on architecture, scalability, and long-term technical direction.

Statistical & AI/ML Product Definition

• Act as the subject matter expert (SME) for statistical methods, machine learning, and applied AI within the product organization.

• Define platform-level capabilities for:

• Statistical modeling frameworks (SPC, multivariate analysis, time-series analysis)

• Machine learning services (prediction, classification, anomaly detection)

• Generative AI services (automated insights, narrative generation, copilots)

• Establish standards for:

• Model selection, evaluation, and performance metrics

• Feature engineering and data requirements

• Model explainability and interpretability

Read from jobs.lever.co, last seen 4d ago.

What they are looking for

• Bachelor’s or Master’s degree in Statistics, Data Science, Applied Mathematics, Computer Science, or a related quantitative field.

• PhD strongly preferred in Statistics, Machine Learning, or a related discipline.

AI/ML & Statistical Expertise (Core Requirement)

• Deep expertise in statistical methods, including:

• SPC (control charts), process capability analysis

• Regression, ANOVA, DOE

• Multivariate methods (PCA, PLS, MSPC)

• Time-series analysis

• Strong working knowledge of machine learning techniques:

• Supervised learning (regression, classification)

• Unsupervised learning (clustering, anomaly detection)

• Forecasting and probabilistic modeling

• Experience with generative AI and NLP, particularly for automated insights and content generation.

• Hands-on experience with tools such as:

• Python (pandas, scikit-learn, statsmodels)

• R, SAS, or equivalent statistical environments

• Strong understanding of:

• Model validation, performance evaluation, and bias/variance tradeoffs

• Explainability techniques (e.g., SHAP, LIME)

• MLOps concepts (model deployment, monitoring, retraining)

Platform & Technical Experience

• Experience building or defining platform-level capabilities (APIs, shared services, reusable components).

• Familiarity with cloud platforms (AWS, Azure, GCP) and modern data architectures.

• Understanding of data engineering concepts, including pipelines, data quality, and feature engineering.

Regulated Environment Awareness

• Experience working in regulated industries (life sciences preferred but not required).

• Understanding of GxP expectations for software, including:

• 21 CFR Part 11, EU Annex 11

• GAMP 5 / CSA principles for software validation

• Familiarity with challenges of applying AI/ML in regulated environments (traceability, validation, auditability).

Product Management Skills

• 3+ years of product management experience in enterprise SaaS, data platforms, or AI/ML-driven products.

• Demonstrated ability to define highly technical product requirements for data science and engineering teams.

• Experience working in Agile environments with cross-functional teams.

• Strong analytical and strategic thinking with a platform mindset.

• Prior experience in a platform product management role.

• Experience delivering AI/ML capabilities as part of a SaaS platform.

• Background in life sciences, pharma, or other regulated industries.

• Familiarity with MLOps frameworks and tools.

• Published work, speaking engagements, or recognized expertise in AI/ML or applied statisti

We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations.

The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader.

How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.