Philips Recruitment: Philips is hiring a Data Scientist to drive innovation in healthcare technology. The function entails studying complicated records, developing AI/ML models, and delivering insights to improve patient results. Ideal applicants have robust analytical competencies, experience in Python/R, and knowledge in machine getting to know. Join Philips to make a significant effect!
- Job Description: Philips Recruitment
- Company: Philips
- Salary: Not Disclosed
- Location: Bengaluru, India
- Qualification: Any Graduate
- Employment Type: Full Time, Permanent
About Company:
Philips is a international chief in health generation, devoted to improving humans’s lives thru meaningful innovation. Founded in 1891 and based in the Netherlands, Philips focuses on superior scientific imaging, patient monitoring, and personal health answers. With a strong emphasis on AI, facts technology, and digital transformation, the company develops modern healthcare technology to beautify affected person care and streamline medical workflows. Philips operates in over one hundred countries, driving sustainability and innovation to create a healthier destiny. Its assignment is to make existence higher for billions international thru smart, related health answers.
Philips Recruitment Job Description:
We are seeking a highly skilled Data Scientist with expertise in Generative AI to join our innovative team at Philips. This position involves developing, high-quality-tuning, and optimizing generative AI models to power innovation across diverse packages, consisting of text, photograph, audio, and video technology. The a hit candidate will collaborate with move-functional groups, such as system gaining knowledge of engineers, software developers, and product managers, to create cutting-edge AI answers that make a contribution to the advancement of healthcare and scientific technology.
Key Responsibilities:
1. Develop and Optimize Generative AI Models:
- Design, train, and satisfactory-track trendy generative models such as GPT, Stable Diffusion, StyleGAN, and LLaMA for real-international applications.
- Implement transfer mastering, reinforcement learning, and high-quality-tuning strategies to improve version efficiency.
- Explore and combine multimodal AI programs regarding textual content, vision, and audio processing.
2. Data Preparation & Engineering:
- Gather, smooth, and preprocess huge-scale datasets for education and evaluation of generative models.
- Develop green information pipelines to streamline records ingestion and transformation.
- Handle based and unstructured statistics and observe function engineering techniques to enhance version performance.
3. Experimentation & Model Evaluation:
- Conduct A/B testing and examine version overall performance the use of quantitative metrics including FID, BLEU, perplexity, ROUGE, and different applicable AI benchmarks.
- Optimize hyperparameters to enhance model accuracy and performance.
- Implement explainability techniques to interpret AI model outputs.
4. Research & Innovation:
- Stay updated with the brand new improvements in generative AI, deep studying, and large language fashions (LLMs).
- Contribute to analyze papers, patents, or open-source tasks associated with generative AI.
- Explore new techniques in set off engineering, retrieval-augmented generation (RAG), and reinforcement getting to know from human comments (RLHF).
5. Deployment & Scaling:
- Collaborate with ML engineers to deploy generative AI models into production environments the use of cloud structures like AWS, Azure, or Google Cloud.
- Work with frameworks like TensorFlow, PyTorch, and Hugging Face for version improvement and deployment.
- Ensure AI models are scalable, strong, and optimized for real-time overall performance.
6. Collaboration & Communication:
- Work closely with move-practical groups to integrate AI answers into enterprise strategies and healthcare packages.
- Present findings and model insights to stakeholders, leadership groups, and clients.
- Document technical tactics and version implementations for reproducibility and understanding sharing.
Required Skills & Expertise:
Technical Skills:
- Programming Languages: Proficient in Python (favored) and experience with ML libraries like TensorFlow, PyTorch, JAX.
- Generative AI Frameworks: Hands-on revel in with LLMs, diffusion models, GANs, VAEs, and transformers.
- NLP & Text Processing: Strong understanding of NLP ideas, techniques, and tools like NLTK, Gensim, and Hugging Face Transformers.
- Computer Vision: Experience working on vision-associated troubles the usage of generative AI fashions.
- Data Handling: Proficiency in running with SQL and NoSQL databases for huge-scale statistics processing.
- Cloud AI Services: Experience with AWS Bedrock, Azure AI Studio, and Google Cloud AI.
- MLOps & Deployment: Hands-on experience with Docker, Kubernetes, MLflow, and Kubeflow.
- Vector Databases & RAG: Familiarity with FAISS, Pinecone, and different retrieval-augmented technology strategies.
Soft Skills:
- Strong trouble-solving capabilities and potential to suppose analytically.
- Ability to work in a quick-paced, research-pushed environment.
- Excellent communique and teamwork talents.
- Passion for AI research, innovation, and generation trends.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field.
- 3+ years of experience in machine learning, deep learning, or AI research.
- At least 1 year of fingers-on enjoy in particular in Generative AI.
- Experience running with LLMs, diffusion fashions, GANs, or transformers.
- Strong publication report or contributions to open-supply AI initiatives is a plus.
- Knowledge of ethical AI, equity, and bias mitigation strategies.
Why Join Philips:
- Comprehensive Health & Wellness Programs: Philips offers considerable healthcare blessings, which includes clinical, dental, and imaginative and prescient plans, along with intellectual fitness guide, well being applications, and gymnasium memberships.
- Work-Life Balance & Flexibility: Employees enjoy hybrid paintings alternatives, bendy hours, beneficiant paid time without work, and parental go away to hold a healthful paintings-lifestyles stability.
- Career Growth & Learning Opportunities: Philips provides schooling programs, leadership development, mentorship, and tuition assistance to foster expert increase.
- Competitive Compensation & Rewards: Employees get hold of aggressive salaries, performance-primarily based bonuses, stock options, and retirement plans, making sure lengthy-term economic stability.
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