Developer II, AI/IA

Pune, IN

Boston Scientific

Boston Scientific is dedicated to transforming lives through innovative medical solutions that improve the health of patients around the world.

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Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.

About The Position:

We are seeking a talented and experienced Generative AI Developer to join our team. As a Mid-Level Generative AI Developer, you will play a key role in designing, developing, and deploying AI models that generate high-quality, creative outputs. You will work closely with a team of automation specialists and product managers to create solutions that meet business objectives and deliver exceptional user experiences.

 

Location: Pune, India

 

Key Responsibilities:

  • Model Development: Design, implement, and optimize generative models (e.g., GANs, VAEs, Transformers) for various applications, including text, image, and audio generation.
  • Data Management: Work with large datasets, perform data preprocessing, augmentation, and ensure the quality and integrity of training data.
  • Research and Innovation: Stay up-to-date with the latest research in generative AI and machine learning, and apply new techniques to enhance model performance and capabilities.
  • Collaboration: Collaborate with cross-functional teams to understand project requirements, define AI solutions, and integrate models into production systems.
  • Performance Optimization: Monitor and optimize the performance of generative models, including tuning hyperparameters, reducing latency, and improving the scalability of AI systems.
  • Documentation: Maintain comprehensive documentation of model architectures, training processes, and performance metrics.
  • Testing and Validation: Develop and implement rigorous testing and validation protocols to ensure the robustness and reliability of AI models.
  • Mentorship: Provide guidance and mentorship to junior developers and interns, fostering a collaborative and growth-oriented work environment.

Qualifications:

  • Experience: 3-5 years of experience in AI/ML development life cycle, with a focus on generative models.
  • Education: Bachelor's or master’s degree in computer science, Engineering, or a related field.
  • Technical Skills:
    • Proficiency in Python and relevant ML libraries/frameworks (e.g., StreamLit, TensorFlow, PyTorch, Scikit-Learn).
    • Experience with generative models such as GANs, VAEs, and Transformer-based architectures.
    • Strong understanding of deep learning techniques, neural network architectures and software engineering principles.
    • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Kubernetes).
    • Experience with data preprocessing, augmentation, and working with large-scale datasets.
  • Soft Skills:
    • Excellent problem-solving and analytical skills.
    • Strong communication skills and ability to work effectively in a team environment.
    • Ability to manage multiple projects and meet deadlines.
  • Bonus Skills:
    • Experience with NLP, computer vision, or audio processing.
    • Knowledge of reinforcement learning or unsupervised learning techniques.
    • Contributions to open-source projects in the AI/ML domain.

 

Requisition ID: 603783

 

As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen.

 

So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

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

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Tags: Architecture AWS Azure Computer Science Computer Vision Data management Deep Learning Docker Engineering GANs GCP Generative AI Generative modeling Kubernetes Machine Learning ML models NLP Open Source Python PyTorch Reinforcement Learning Research Scikit-learn Streamlit TensorFlow Testing Transformers Unsupervised Learning

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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