5 Meta Llama Jobs

As an AI Data Scientist at Johnson Controls in Pune, India, you will be part of the Data Strategy & Intelligence team, contributing to the development and deployment of machine learning/Generative AI and time series analysis models in production. Your role will involve leveraging your deep knowledge of machine learning concepts, Large Language Models (LLM), and experience in developing and deploying ML/Generative AI/ time series models to optimize energy consumption, generate insights, and improve building operations. Your responsibilities will include developing and maintaining AI algorithms within digital products, applying machine learning and advanced algorithms to enhance building efficiency and user comfort, translating data into actionable recommendations, and ensuring the robustness of AI solutions through well-designed algorithms and software. To succeed in this role, you should be adept at applying machine-learning concepts to practical applications, collaborating with product managers, analyzing datasets, writing Python code for ML/Generative AI solutions, and implementing state-of-the-art techniques in Generative AI. You will work on pre-training and fine-tuning ML models over CPU/GPU clusters, following code-quality standards, developing test cases, and communicating key results to stakeholders. The ideal candidate will have a Bachelor's/Master's degree in Computer Science, Statistics, Mathematics, or related field, along with 5+ years of experience in developing and deploying ML models. Proficiency in Python and standard ML libraries, strong understanding of ML algorithms and techniques, experience with cloud-based ML/GenAI model development, and excellent communication skills are essential. Prior domain experience in smart buildings and working with Microsoft Azure Cloud is preferred. Join us at Johnson Controls to be part of a dynamic team driving innovation in AI-enabled enterprise solutions for smarter buildings and optimized energy utilization.,

You are an AI Data Scientist at Johnson Controls, contributing to the development and deployment of AI algorithms and capabilities within digital products. By leveraging data from commercial buildings and applying machine learning, GenAI, and advanced algorithms, you will optimize building energy consumption, reduce CO2 emissions, enhance user comfort, and generate actionable insights to improve building operations. Your role involves translating data into recommendations for stakeholders, ensuring robust and repeatable outcomes through well-designed algorithms and software. Your responsibilities include contributing to the AI team, collaborating with product managers to design new AI capabilities, exploring available datasets for potential applications, writing Python code to develop ML/GenAI/time series prediction solutions, and researching state-of-the-art techniques in Generative AI. You will pre-train and fine-tune ML models over CPU/GPU clusters, optimize for trade-offs, follow code-quality standards, develop test cases, identify and fix bugs, communicate key results to stakeholders, and leverage JIRA for work planning and issue tracking. The ideal candidate for this role holds a Bachelor's/Master's degree in Computer Science, Statistics, Mathematics, or a related field, with at least 5 years of experience in developing and deploying ML models. Proficiency in Python and standard ML libraries, a strong understanding of ML algorithms and techniques, experience with cloud-based ML/GenAI model development/deployment, and excellent communication skills are required. Preferred qualifications include prior domain experience in smart buildings and building operations optimization, as well as experience working with Microsoft Azure Cloud.,

Job Title: AI & Automation Developer Intern Location: Hyderabad (3 days/week onsite) Duration: 6 months (with strong potential for full-time conversion) What Youll Do: Build & Prototype Assemble off-the-shelf LLMs (Azure OpenAI, AWS Bedrock, Anthropic Claude, Meta LLaMA APIs) into chatbots, document agents and virtual assistants. Rapidly prototype in low-code/visual studios (Firebase Studio, v0, Lovable, etc) and with agentic frameworks (LangChain, AutoGen, MCP/A2A). Automate & Integrate Wire up IntelliDocs and productivity agents using RPA tools (UiPath, Power Automate, Q Developer). Connect your assistants to real systems via APIs, webhooks and microservices. Code with AI Helpers Leverage GitHub Copilot, Cursor, Windsurf, Cline and Developer to accelerate script, API and workflow development. Write unit/integration tests and help maintain our CI/CD pipelines. Live Projects Youll Support domusAI: Our internal ChatGPTstyle assistant that helps employees draft content, answer questions and automate routine tasks. domusDocs: A document-automation engine using in-house APIs to classify, extract and process business documents. Knowledge Based Agents: Smart helpers pre-loaded with application knowledge to troubleshoot user issues and cut down IT tickets. Multi-Agentic Framework: The architecture that lets specialized AI agents coordinate on complex workflowsyour chance to see multi-agent collaboration in action. Learn & Collaborate Join weekly innovation jams and lunch-and-learn sessions on prompt engineering, governance and new AI tools. Partner with mentors in our Automation Center of Excellence to refine your skills and share your learnings. Support & Iterate Help define test plans, troubleshoot issues and tune prompts for accuracy and performance. Gather feedback from business stakeholders and iterate quickly on your prototypes. Who You Are: Tech Enthusiast: Youve built at least one AI or automation projectcoursework, hackathon or personal repo. Curious Learner: Youre eager to explore new LLM services, low-code studios and agentic frameworks. Collaborative Communicator: You explain technical ideas clearly in English and enjoy working closely with SMEs and teammates. Self-Starter: You solve problems proactively using online resources, community forumsor even GPT agents of your own creation. Perks & Benefits: Stipend & Support: Competitive monthly stipend, plus access to enterprise AI platform licenses. Mentorship & Training: Dedicated mentor, structured workshops and certification support (UiPath, Azure AI, AWS ML). Hybrid Flexibility: Spend 3 days/week at our Hyderabad hub (if in Hyderabad)then work where you work best (home office or caf). Growth Path: High potential for full-time conversion; showcase your work in our global AI community. Fun Culture: Innovation jams, hackathons, aha! celebrationsand the occasional pajama-day.

As an AI Data Scientist at Johnson Controls located in Pune, India, you will be an integral part of the Data Strategy & Intelligence team. You will be responsible for developing and deploying machine learning/Generative AI and time series analysis models in production to contribute to optimized energy utilization, auto-generation of building insights, and predictive maintenance for installed devices. To excel in this role, you must possess a deep understanding of machine learning concepts, Large Language Models (LLM), time series models, and have hands-on experience in developing and deploying ML/Generative AI/time series models in a production environment. Your primary responsibilities will include developing and maintaining AI algorithms and capabilities within digital products at Johnson Controls. By leveraging data from commercial buildings and applying advanced algorithms, you will optimize building energy consumption, reduce CO2 emissions, enhance user comfort, and generate actionable insights to improve building operations. Additionally, you will translate data into recommendations for various stakeholders, ensuring that AI solutions deliver robust and repeatable outcomes through well-designed algorithms and software. Collaboration is key in this role, as you will work closely with product managers to design new AI capabilities, explore and analyze datasets, write Python code to develop ML/Generative AI/time series prediction solutions, implement state-of-the-art techniques in Generative AI, and pre-train and finetune ML models over CPU/GPU clusters. You will also uphold code-quality standards, develop test cases to validate algorithm correctness, and communicate key results to stakeholders effectively. The ideal candidate for this position should hold a Bachelor's/Master's degree in Computer Science, Statistics, Mathematics, or a related field, along with at least 5 years of experience in developing and deploying ML models. Proficiency in Python and standard ML libraries such as PyTorch, Tensorflow, and scikit-learn is essential. Moreover, a strong understanding of ML algorithms and techniques, experience in working with cloud-based ML/GenAI model development/deployment, and excellent communication skills are prerequisites for success in this role. Preferred qualifications include prior domain experience in smart buildings and building operations optimization, as well as experience working with Microsoft Azure Cloud.,

Data Scientist—Generative AI: Design, finetune & deploy LLMs, GANs & diffusion models. Build RAG pipelines with FAISS/Pinecone; use Python, PyTorch/TensorFlow, and Hugging Face. Create ML pipelines, ensure model ethics, and deploy via cloud.