Software Engineer, AI/ML

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:: Implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, ie. revenue, engagement, and customer satisfaction.  

Collaborate with data product managers, software engineers and SMEs to identify AI/ML opportunities for improving process efficiency.  

Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis.  

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:: 2 - 4 years of experience in AI/ML engineering, with a track record of handling increasingly complex projects.  

Strong programming skills in Python, Rust.  

Experience with Pandas, NumPy, SciPy, OpenCV (for image processing)  

Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch.  

Experience with GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs.  

Experience with one or more Graph DBs - Neo4J, ArangoDB  

Experience with MLOps platforms, such as Kubeflow or MLFlow.  

Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models.  

Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems.  

Thorough understanding of software product development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices.  

Excellent written and verbal communication skills and interpersonal skills.  

Advanced degree in Computer Science, Machine Learning or related field.  

Experience in the life science domain or a related field is preferable

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.