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
About the Role:
Responsibilities:
- AI/ML Development & Implementation
- Provide senior technical leadership across AI/ML and GenAI initiatives, influencing architecture, design, and delivery
- Mentor and technically guide a team of ML/GenAI engineers and data engineers
- Define the architecture for machine learning and GenAI solutions across products and platforms
- Act as a hands-on delivery leaderdriving requirements gathering, solution design, model development, coding, and deployment of production-ready ML/GenAI solutions
- Develop and oversee statistical models for process management of pharma and life science companies, including predictive process monitoring
- Lead design decisions on data pipelines, model lifecycle, evaluation, deployment, and monitoring
- Evaluate and implement GenAI-powered solutions for document understanding, semantic retrieval, knowledge management, summarization, and reasoning tasks
- Architect and deploy LLM-powered production systems including RAG architectures, vector retrieval, evaluation frameworks, and safety controls
- Evaluate LLM performance, hallucination patterns, safety risks, and implement mitigation strategies
- Select and integrate appropriate LLM frameworks, vector databases, and orchestration tools (LangChain, LlamaIndex, etc.)
- Establish guidelines for responsible GenAI usage, evaluation, and safety
- Collaboration & Compliance
- Collaborate with product managers, quality, validation, and compliance teams to align technical solutions with business needs
- Lead security and compliance efforts to address AI risksincluding adversarial vulnerabilities, model drift, data governance, and regulatory obligationsensuring trustworthy and compliant AI systems
Requirement:
- Strong background in statistics and machine learning (regression, classification, time-series, Bayesian methods)
- Experience developing, deploying, and operating ML models in production environments
- Hands-on experience building or deploying LLM-powered applications and production GenAI systems
- Experience with RAG architectures, embeddings, vector search, and evaluation of retrieval quality
- Experience evaluating LLM performance, safety, hallucinations, and implementing mitigation strategies
- Proficiency in Python and ML libraries such as scikit-learn, TensorFlow/PyTorch, HuggingFace, pandas, NumPy, SciPy
- Familiarity with ML lifecycle management
- Experience with cloud ML environments such as AWS, Azure, or GCP
- Understanding of model observability, data versioning, and automated retraining pipelines
- Qualifications:
- Bachelor's or master's in computer science, Data Science, or a related field
- 8+ years in AI/ML solution development
- Experience in life sciences, pharma, or other regulated industries (nice to have but not required)
- Strong analytical thinking and problem-solving skills
- Familiarity with statistical process control concepts
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
