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ValGenesis

Posted 11 months ago

Open

Senior Software Engineer, AI/ML

ChennaiRemoteFull-time

AI Summary

Senior AI/ML Engineer responsible for building and deploying production-grade ML models to improve customer experience, content generation, and predictive analytics for life sciences clients.

About this role

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:


We are seeking a highly skilled Senior 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:

  • Implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, i.e. 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.

    • Responsibilities

  • 4 - 8 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.

    • Skills

    ArangoDBCausal AICI/CDComputer VisionDevOpsDimensionality ReductionGenAI ToolsGenerative AIKubeflowLangChainLlamaIndexMLflowMLOpsNeo4jNLPNumPyOpenCVPandasPythonPyTorchReinforcement LearningRustSciKit-LearnSciPySequential ModelsTensorFlowVector Databases

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