Senior Developer Gen AI - Data Suite R&D

Bangalore, IN

Sapiens

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Sapiens is on the lookout for a Senior Gen AI Developer to become a key player in our Bangalore team. If you're a seasoned Gen AI Developer pro and ready to take your career to new heights with an established, globally successful company, this role could be the perfect fit.

 

Location: Bangalore

 

Working Model: Our flexible work arrangement combines both remote and in-office work, optimizing flexibility and productivity.

This position will be part of Sapiens’ Digital (Data Suite) division, for more information about it, click here: https://sapiens.com/solutions/digitalsuite-customer-experience-and-engagement-software-for-insurers/

 

We are seeking a highly skilled and experienced Senior Gen AI Developer to join our innovative team. The ideal candidate will be responsible for designing, developing, and deploying advanced Generative AI models and applications, including LLMs, GANs, and other cutting-edge AI models. This role will play a key part in enhancing our product offerings, driving technical excellence, and implementing scalable AI solutions to meet complex business needs.

 

What you’ll do: 

  • Model Development & Optimization
    • Design, develop, and fine-tune Generative AI models, including transformer-based architectures, GANs, VAEs, image generation models and other advanced models.
    • Implement techniques for model optimization, such as quantization, pruning, and distillation, to ensure efficient model performance.
    • Experiment with different architectures, hyperparameters, and training methodologies to optimize model performance
    • methodologies to optimize model performance
  • Data Pipeline & Infrastructure
    • Develop robust data pipelines to support generative model training and fine-tuning processes, ensuring data quality and availability.
    • Work closely with MLOps and data engineering teams to streamline model deployment, monitoring, and version control.
  • Application Development & Integration
    • Build end-to-end Generative AI applications, from prototyping to deployment, ensuring seamless integration with existing systems.
    • Design APIs and other interfaces for integrating GenAI models into various applications.
  • Performance Monitoring & Model Improvement
    • Set up monitoring tools and frameworks to track model performance and accuracy over time, implementing model retraining where necessary.
    • Address issues related to model drift, retraining, and update requirements for enhanced model effectiveness.
  • Research & Innovation
    • Stay updated with the latest developments in GenAI, ML, and NLP, driving continuous innovation within the team.
    • Present research findings within internal teams to contribute to our thought leadership.

 

What to Have for this position.

Must have Skills.

 

  • Education: Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or a related field.
  • Experience: 5-7 years in AI/ML, with at least 2 years in Generative AI model development and deployment.
  • Certifications (optional): AI/ML certifications or training in GenAI frameworks is a plus.
  • Technical Proficiency
    • Strong expertise in GenAI frameworks and tools (e.g., Hugging Face, OpenAI API, DeepSpeed, DALL-E, and others).
    • Proficient in programming languages such as Python and experience with ML libraries such as TensorFlow, PyTorch, Keras, etc.
    • Solid understanding of transformer architectures, attention mechanisms, LLM fine-tuning, and reinforcement learning techniques.
    • Familiarity with machine learning techniques and algorithms
  • Data Engineering & MLOps
    • Hands-on experience with data pipelines and working knowledge of MLOps tools like Docker, Kubernetes, MLflow, and cloud platforms (AWS/Azure/GCP).
    • Proficient in managing large-scale datasets, implementing ETL processes, and ensuring data quality for training models.
  • Problem-Solving & Analytical Skills
    • Demonstrated ability to break down complex business requirements and design scalable GenAI solutions that address these needs.
    • Strong skills in debugging, model interpretability, and addressing model bias.
  • Communication & Collaboration
    • Good verbal and written communication skills to explain technical concepts to stakeholders.
    • Experience collaborating across multidisciplinary teams, including data engineers, MLOps, and business stakeholders.

 

 

Preferred Skills :

 

  • Experience with large language models, text generation, and language understanding tasks
  • Experience with image generation and computer vision techniques
  • Knowledge of reinforcement learning and its application to generative AI.
  • Experience with model explainability, ethical AI, and interpretability techniques.
  • Experience in deploying GenAI models for industry-specific applications (e.g., Insurance , healthcare, finance, customer service).
  • Knowledge of frontend/backend frameworks and API development.

 

About Sapiens :

 

Sapiens is a global leader in the insurance industry, delivering its award-winning, cloud-based SaaS insurance platform to over 600 customers in more than 30 countries. Sapiens’ platform offers pre-integrated, low-code capabilities to accelerate customers’ digital transformation. With more than 40 years of industry expertise, Sapiens has a highly professional team of over 5,000 employees globally.

For More information visit us on www.sapiens.com.

 

Sapiens is an equal opportunity employer. We value diversity and strive to create an inclusive work environment that embraces individuals from diverse backgrounds.

 

 

Disclaimer: Sapiens India does not authorise any third parties to release employment offers or conduct recruitment drives via a third party. Hence, beware of inauthentic and fraudulent job offers or recruitment drives from any individuals or websites purporting to represent Sapiens . Further, Sapiens does not charge any fee or other emoluments for any reason (including without limitation, visa fees) or seek compensation from educational institutions to participate in recruitment events. Accordingly, please check the authenticity of any such offers before acting on them and where acted upon, you do so at your own risk. Sapiens shall neither be responsible for honouring or making good the promises made by fraudulent third parties, nor for any monetary or any other loss incurred by the aggrieved individual or educational institution. 

In the event that you come across any fraudulent activities in the name of Sapiens , please feel free report the incident at sapiens to sharedservices@sapiens.com

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: API Development APIs Architecture AWS Azure Computer Science Computer Vision DALL-E Data pipelines Data quality Docker Engineering ETL Finance GANs GCP Generative AI Keras Kubernetes LLMs Machine Learning MLFlow ML models MLOps Model deployment Model training NLP OpenAI Pipelines Prototyping Python PyTorch R R&D Reinforcement Learning Research TensorFlow

Perks/benefits: Career development Flex hours Team events

Region: Asia/Pacific
Country: India

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