Advanced AI Engr

Key Skills

Agile methodologies, Algorithms, Apache Hadoop, Apache Hive, Continuous Integration & Continuous Delivery - CI/CD, Data pipelines, Keras software library, Machine learning techniques, PySpark, Scikit-learn, Scrum Agile Methodology, TensorFlow

Job Description

The future is what you make it. When 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. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars. 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. Are you ready to help us make the future?

Join a company that is transforming from a traditional industrial company to a contemporary digital industrial business, harnessing the power of cloud, big data, analytics, Internet of Things, AI/ML (Machine Learning), Automation and design thinking. You will support change that brings value to our customers, partners, and shareholders through the creation of innovative software and data-driven products and services. You will help engineer contemporary applications and services, constructing solutions that remain scalable, adaptable and replicable. You will be part of transforming Honeywell's IT organization through the delivery of technology products that will directly impact the company's growth.

You will be part of the IT Information Management & Analytics team and in this role, you will work on the design and implementation of state-of-the-art Generative AI, Machine Learning and AI Cognitive Services enhanced business use cases. This Advanced AI Engineer role will work with the business stakeholders, IT business partners, functional consultants, and infrastructure/technology teams to deliver innovative AI technology solutions that accelerate digital transformation and drive operational efficiency as well as business growth. You will focus primarily on the full cycle delivery of AI/ML use cases from requirements/design to release, driving the evolution of AI/ML infrastructure/process, and enabling Intelligent Apps & Automation, AI Chatbots, etc.

Key Responsibilities:

• Develop and Deploy advanced Generative AI large language models, Machine Learning and Deep Learning Models/algorithms to enhance and/or automate existing business processes with predictive and intelligent decision making, content aggregation and contextualized insights.

• Collaborate with data scientists and data engineers to build production-level models and pipelines, including any required preprocessing of input datasets and postprocessing after model inference.

• Processing, cleansing and verifying the integrity of structured and unstructured business data used for analysis.

• Analyze large amount of information to discover underlying trends and patterns that are relevant for solving business problems. Select features and perform proper data transformation to optimize datasets for building the models.

• Evaluate, visualize and communicate the AI/ML model results and correlation with business KPI’s.

• Work in a startup-type environment to design and build innovative applications using Automation, Machine Learning/Cognitive Service, business / functional proofs-of-concepts to scalable, production ready solutions across a strategic business group

• Actively lead, analyze and recommend highly complex business opportunities, through assessments/workshops, detailed data analysis/modeling and overall end-end solutioning to propose predictive, AI Driven solutions that drive the most business value with sustained impact.

• Work within project planning constraints, communicating any identified project risks and issues to the delivery/project manager and provide inputs to the change control process.

• Help develop standard operation practices and support the Operations Teams through UAT and after go-live.

• Work closely with the operations team to change, optimize existing Automation and AI/ML processes and help build effective model performance monitoring, alert and notification framework to proactively identify problems/issues before business impact.

• Partner and effectively communicate with Non-IT / Business users, functional counterparts and stakeholders to understand the underlying business problem, and work with the extended team to define and communicate the right technical solution.

YOU MUST HAVE

• Bachelor’s in computer science, data science or engineering fields
• 6+ years of IT experience in solution architect / data scientist / software development for large corporate/organizations
• Hands-on experience in Large Language Model (LLM) engineering and LLMOps, including advanced prompt engineering and fine-tuning of LLMs.
• 3+ years of experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc
• 2+ years of experience in building AI solutions with NLP/NLG framworks such as Keras, TensorFlow, HuggingFace Transformers and libraries (like NLTK, Spacy, genism)
• 2+ years of experience working on data science platform Databricks

• 2+ years of experience in building IT use cases / solutions especially around AI/ML cognitive services, based on Cloud infrastructure and services such as Azure cloud platforms and Databricks.

WE VALUE

• Master’s degree in computer science, data science or engineering fields
• Excellent understanding of Machine Learning techniques and proficiency in feature analysis, algorithm selection and model hyperparameter tuning.
• Understanding of application development framework like LangChain, LlamaIndex, and knowledge of vector index, vector databases

• Hands-on experience with Python programming and statistical packages, and ML libraries such as scikit-learn, Keras, TensorFlow etc.
• Experience with Big data platform technologies Hadoop, PySpark, Hive, etc.
• Experience with DevSecOps framework, develop CICD pipelines, orchestrate workflow using Airflow, Opsera
• Experience with Docker and Kubernetes
• Working Experience in an Agile/Scrum/Scaled team environment
• Certifications/ Course work in Generative AI, AI/ML and Cloud platforms
• Great communication skills