About the job
The future is what you make itWhen you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers, and doers who make the things that make the future. Working at Honeywell isn’t just about developing cool things. That’s why all of our employees enjoy access to dynamic career opportunities across different fields and industries.
Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell.
Key Responsibilities
Collaborating with multi-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
Conducting research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and find opportunities to integrate them into our products and services.
Optimizing existing generative AI models for improved performance, scalability, and efficiency.
Engineer prompts and optimize few-shot techniques to enhance LLM's performance on specific tasks.
Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyper-parameters, ensuring task generalization, and exploring model interpretability for robust web app integration.
Collaborate with ML and Integration engineers to demonstrate LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app.
Be a proactive partner to your business stakeholders and provide insights.
Tackle business-critical questions by developing and testing hypotheses, and aid evidence-based decision making.
Partner with Product Managers, Data Engineers, Data Scientists, and Business Stakeholders to drive business decisions and product roadmaps.
MLOps, Software Engineering concepts, Solution Architecture Design, and Development.
YOU MUST HAVE
BTech/Master’s in engineering/Technology or MSc with 4-6 years of relevant experience or PhD with 3+ years’ experience.
Big Data and Analytics (i.e. Apache/Databricks Spark)
Knowledge on data engineering tasks
Automated deployment of Machine learning models in cloud environment.
Problem solver at heart with experience in Machine learning, Data Science and Statistics.
Cloud friendliness (AWS /Azure) to leverage distributed computing/scalability.
Experience in Deep Learning and classical Machine Learning, including but not limited to CNN/RNN architectures, Reinforcement learning, Graph Neural networks, OpenCV
Proficient in Python and have experience working with machine learning and NLP processing techniques and tools.
Worked on Vector DB and SQL databases: MongoDB, PostgreSQL, SQL Server
Solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
Proficient in Langchain, LLMs
Strong knowledge of data structures, algorithms, and software engineering principles.
Tools you may use include Azure services such as Azure Machine Learning and Azure prompt flow, as well as python, Langchain, Streamlit, docker, git, and elastic search.
Additional Information
- JOB ID: req430715
- Category: Engineering
- Location: HW Camp II,Bldgs 9A&9B,Plot C2,RMZ Ecoworld,Varturhobli,Sarjapur Marathahalli Outer Ring Road,Bangalore,KARNATAKA,560103,India
- Exempt
