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.youtube.com/watch?v=tASq7Ld0JsQ
About The Role
We are seeking an entry level AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role.
Responsibilities
- Assist in developing AI-driven solutions using LLMs and RAG (Retrieval-Augmented Generation).
- Integrating APIs like OpenAI or LLama.
- Support the design and testing of AI-enhanced workflows.
- Implement database interactions (MySQL or PostgreSQL for structured data).
- Write and optimize Python/ Node.js scripts for the applications.
- Assist in developing production-grade ML models to enhance customer experience, content recommendation, content generation.
- Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation.
- Stay up to date with the latest in machine learning and artificial intelligence and influence AI/ML for the Life science industry.
Requirements
- 1 - 3 years of experience in AI/ML engineering.
- Strong programming skills in Python (FastAPI, Flask) or Node.js .
- Exposure to NLP, LLMs, AI APIs (ChatGPT, Perplexity.ai , LangChain, LlamaIndex).
- Familiarity with RESTful APIs and Graph Databases (Neo4j, ArangoDB).
- Basic understanding of cloud platforms (AWS, Azure, GCP).
- Passion for AI, NLP, and chatbot development.
- Familiarity with MLOps platforms, such as Kubeflow or MLFlow.
- Familiarity with one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models.
- Bonus: Knowledge of UI frameworks (React, Next.js ).
- Good to have – Qdrant or equivalent vector databases.
- Excellent written and verbal communication skills and interpersonal skills.
- Advanced degree in Computer Science, Machine Learning or related field.
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.