Software Engineer

About the Role

We are looking for a skilled AI/ML Engineer to join our team and contribute to building next-generation applications for our international clientele. If you are passionate about technology and eager to explore new opportunities, we encourage you to connect with us.

Responsibilities

• Implement and deploy Machine Learning solutions to address complex challenges and deliver tangible business value, such as increased revenue, improved engagement, and enhanced customer satisfaction.
• Collaborate with data product managers, software engineers, and subject matter experts (SMEs) to identify opportunities for leveraging AI/ML to improve process efficiency.
• Develop production-ready ML models to enhance customer experiences, content recommendation, content generation, and predictive analytics.
• Monitor and optimize model performance through data enhancement, feature engineering, experimentation, and online/offline evaluations.
• Stay abreast of the latest advancements in machine learning and artificial intelligence, and contribute to shaping the future of AI/ML within the life sciences industry.

Requirements

• 2 to 4 years of experience in AI/ML engineering, with a proven record of successfully managing increasingly complex projects.
• Proficiency in Python and Rust programming languages.
• Experience with libraries such as Pandas, NumPy, SciPy, and OpenCV for image processing.
• Hands-on experience with ML frameworks including scikit-learn, TensorFlow, and PyTorch.
• Familiarity with Generative AI tools like Langchain, LlamaIndex, and open-source Vector Databases.
• Experience with one or more Graph Databases, such as Neo4j or ArangoDB.
• Experience with MLOps platforms like Kubeflow or MLFlow.
• Expertise in at least one of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, or Sequential Models.
• Proven ability to build, deploy, measure, and maintain machine learning models for real-world problem-solving.
• A solid understanding of the software product development lifecycle, DevOps practices (build, CI/CD tools), and best practices.
• Excellent written and verbal communication skills, along with strong interpersonal abilities.
• An advanced degree in Computer Science, Machine Learning, or a related field is preferred.

Our Mission

Since 2005, ValGenesis has been a disruptor in the life sciences industry, pioneering the first digital validation lifecycle management system. Our VLMS revolutionized compliance-based validation activities and continues to set the industry standard. Today, we are committed to innovation, expanding our portfolio beyond validation to offer an end-to-end digital transformation platform. By integrating our purpose-built systems with expert consulting services, we empower GxP-regulated processes to meet evolving regulatory and quality expectations.

The Team You'll Join

We prioritize our customers' success, embedding their experience into every decision, from product development to marketing, sales, services, and support. We are inspired by the mission of life sciences companies to improve human quality of life. Our team fosters collaboration through open communication, mutual support, and a willingness to contribute wherever needed. Innovation is at the core of ValGenesis, driving both product development and individual growth as we continuously strive for excellence.

Our Work Environment

Our offices in Chennai, Hyderabad, and Bangalore operate on a 5-day-per-week, onsite model. We believe that in-person interaction and collaboration are crucial for fostering creativity, building community, and ensuring our future success.

ValGenesis is an equal-opportunity employer committed to merit-based hiring. We aim to employ the most qualified individuals for every role. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by local law.

Please note that we may utilize artificial intelligence (AI) tools to assist with certain aspects of the hiring process, such as reviewing applications or analyzing resumes. These tools support our recruitment team but do not replace human judgment. Final hiring decisions are always made by human recruiters. For further information on how your data is processed, please contact us.