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Generative AI Model DevelopmentModel Fine-Tuning & Optimization Job Location: Pune Location Flexibility: Primary Location Only At Fujitsu, our purpose is to make the world more sustainable by building trust in society through innovation. Founded in Japan in 1935, Fujitsu has been a pioneer in technology and innovation for decades. Today, as a world-leading digital transformation partner, we are committed to transforming business and society in the digital age. With approximately 130,000 employees across over 50 countries, Fujitsu offers a broad range of products, services, and solutions. We collaborate with our customers to co-create solutions that drive enterprise-wide digitalization while actively working to address social issues and contribute to the United Nations Sustainable Development Goals (SDGs). Generative AI Engineer NLP & Machine Learning Specialist 3-6 year of Exp. Strong Expertise Generative AI Model Development Natural Language Processing (NLP) Machine Learning & Deep Learning Python Programming for AI Development Model Fine-Tuning & Optimization AI Model Deployment & MLOps (Docker, Kubernetes, CI/CD) Data Science & Statistics Basic Proficiency Large Language Models (LLMs) & Open-Source AI Frameworks Data Engineering & Data Processing (Apache Spark, Pandas, NumPy, PyTorch, Scikit-learn, TensorFlow) Conversational AI & Chatbot Development (LangChain, AutoGen) Cloud AI Platforms (GCP, AWS, Azure) Knowledge Only Open-Source Contributions in AI Software Design Principles & Architecture AI Ethics & Bias Mitigation Primary Skills Generative AI Model Development Design, develop, and deploy state-of-the-art generative AI models, including open-source LLMs, tailored for specific business needs. Natural Language Processing (NLP) Implement advanced NLP techniques such as text generation, summarization, translation, and sentiment analysis for AI-driven solutions. Machine Learning & Deep Learning Apply cutting-edge ML and deep learning algorithms to enhance AI model accuracy and efficiency in real-world applications. Python Programming for AI Development Strong proficiency in Python (or R/Java) for developing and implementing AI models, leveraging frameworks like Hugging Face, OpenAI GPT, spaCy, and NLTK. Model Fine-Tuning & Optimization Customize pre-trained AI models for domain-specific use cases, optimizing them for performance, scalability, and efficiency. AI Model Deployment & MLOps Develop, deploy, and maintain AI models in production environments using FastAPI, Django, and MLOps tools such as Docker, Kubernetes, and CI/CD pipelines. Secondary Skills Large Language Models (LLMs) & Open-Source AI Frameworks Data Engineering & Data Processing Conversational AI & Chatbot Development Cloud AI Platforms (GCP, AWS, Azure) Open-Source Contributions in AI AI Ethics & Bias Mitigation Relocation Supported No Visa Sponsorship Approved No At Fujitsu, we are committed to an inclusive recruitment process that values the diverse backgrounds and experiences of all applicants. We believe that hiring people from a wide variety of backgrounds makes us stronger, not because it's the right thing to do, but because it allows us to draw on a wider range of perspectives and life experiences. .
Here's where they are and how to stand out in your next interview.
24.795Jobs
9.577IN
74%EN
That number includes positions in India (9,577), Poland (3,429), the United States (1,753), Singapore (787), and Brazil (779). If you're looking to move or work remotely, check which countries match your goals — then filter WorkMundi by location to see what's actually hiring near you.
Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.