דרושים Hts Ai Transformation Leader ב-Honeywell ב-הודו

:– Engineering Operations Leader (EOPS), HTS BA

The major responsibilities include following:

Work closely with Global EOPS and HTS India Director’s on all HTS India spend, revenue and Accolade Hygiene report.

HTS India and Mexico EOPS would be reporting/matrixing into this role.

Work closely with BA EOPS Global Director on affordability model during AOP.

Asset utilization, calibration, SW license repository/renew/optimization, lab accreditation and other initiatives to enable and sustain BA to have world class labs.

Work with GBE PMO and Engineering at HTS to drive CSW vendor rationalization and feedback monitoring.

Drive and support HTS BA INDIA report on Program performances, EAC reports, productivity and HTS BA site KPIs.

Establish near to real-time operational metrics availability to the HTS GBE leaders along with predictive analytics capability.

15+ Years of experience with multi- dimensional exposure in the areas of Engineering Business and operations Management, Project Engineering/ Program management, Financial/Business acumen, and Data analytics.

Two years of experience as Engineering /Functional supervisor with experience in Engineering operations role is preferable, but not a limiting factor for exceptionally talented individuals.

Good oral and written communication skills with brevity. Exposure to executive communication is an added advantage.

Education Qualifications

B.E/B.com or equivalent

MBA/ Certification in Finance is added advantage.

• JOB ID: HRD262202
• Category: Business Management
• Location: Devarabisanahalli Village, KR Varturhobli,,East Taluk - Phase I,Bangalore,KARNATAKA,560103,India
• Exempt

Job Summary:

Key Responsibilities:

HR Analytics & Reporting:

• Leverage HR data and analytics to provide insights on workforce trends, employee performance, and engagement.

• Create dashboards, reports, and predictive models to support HR decision-making.

• Ensure data integrity and compliance with global HR policies and local labor laws.

Talent & Workforce Insights:

• Analyze workforce data to identify trends, risks, and opportunities all people process- workforce planning, attrition, succession health, compensation planning, DEI & Voice of employees, OEF and spans & layers.

• Partner with HR teams to forecast future workforce needs and optimize talent strategies.

HR Program Management:

• Develop, implement, and manage global HR programs in following areas including talent development, employee engagement, and workforce planning.

• Support the execution of HR transformation projects globally, ensuring alignment with business goals.

• Monitor and report on program effectiveness, making recommendations for continuous improvement.

HR Systems & Process Optimization:

• Work with HR technology teams to enhance HRIS systems and analytics tools.

• Automate reporting processes to improve efficiency and accuracy.

• Ensure alignment of HR systems and processes across multiple regions.

Qualifications & Skills:

• Bachelor’s or Master’s degree in Human Resources, Business Analytics, or a related field.

• 4+ years of experience in HR analytics, HR program management, or a similar role in a global environment.

• Strong analytical skills with proficiency in data visualization tools (e.g., Power BI, Tableau) and HRIS platforms (e.g., Workday, SAP SuccessFactors).

• Experience in statistical analysis, predictive modeling, and HR metrics development.

• Ability to work in a fast-paced, matrixed environment across multiple time zones.

• Excellent communication and stakeholder management skills.

• Strong understanding of global labor laws, compliance, and best HR practices.

• JOB ID: HRD261607
• Category: Human Resources
• Location: Devarabisanahalli Village, KR Varturhobli,,East Taluk - Phase I,Bangalore,KARNATAKA,560103,India

Advanced AI Engineer (Generative AI)

You will be part of the IT Information Management & Analytics team and in this role, you will at the forefront of implementing 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, next generation of AI Copilots/Assistants, etc.

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.

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.

YOU MUST HAVE

• Bachelors in Computer Science, Data Science or Engineering fields
• 4-6 years of IT experience in solution architect / data scientist / software development for large corporate/organizations
• Hands-on experience in 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
• 3+ years of hands-on experience with Python programming and statistical packages, and ML libraries such as scikit-learn, Keras, TensorFlow etc.

2+ years of experience in building AI solutions with NLP/NLG framworks such asKeras, 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
• Work experience / education in data science, data engineering and analytics
• 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

• Project experience with NLP/NLG, AI Conversational Agent (Chatbot), OCR
• 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 Agile and DevOps based team environment
• Certifications/ Course work in Generative AI, AI/ML and Cloud platforms
• Great communication skills

• JOB ID: HRD259145
• Category: Information Technology
• Location: Devarabisanahalli Village, KR Varturhobli,,East Taluk - Phase I,Bangalore,KARNATAKA,560103,India
• Exempt

You will be responsible to develop the definition of good through hands on cyber testing, architecture design. In addition you will work with the CPSO of BA to develop an Engineering Gen AI strategy & roadmap; perform market research; partner with strategic vendors and incubate new technologies, ideas and techniques that will ensure BA and Honeywell are able to leverage the latest and the best in the industry; and continues to be cybersecure. You will also need to leverage existing Honeywell Technology ecosystem; Experts, CoPs and other Tech Forums to ensure adoption of best practices & ideas

Key Responsibilities:

• Drive Honeywell COE Gen AI strategy. Establish current and future state landscape & roadmap with deep consideration of security, safety, and integrity of services.
• Provide Subject Matter Expertise on Generative AI adoption and Impactful deployment for cybersecurity for internal architecture, third party integration, and custom models.
• Collaborate with IT, Technical teams, Business SMEs for defining architectural cyber frameworks, common standards and solutions for product engineering
• Work closely with researchers, developers, and data scientists to implement and optimize AI/ML models in production environments.
• Perform Market Research to identify new opportunities, ideas and technology trends for adoption. Collaborate with Vendors and Industry leaders to accelerate adoption of latest technology trends and ideas that have strong business impact
• Engage with Chiefs, Fellows, other Tech talents and Tech forums to bring alignment of Cyber across SBGs of engineering and IT and maximize cross leverage of best practices/ideas
• Leverage existing BA and Honeywell ecosystem to collaborate and partner with Universities and Startups to accelerate New Idea evaluation and incubation. Participate in hackathons, and crowd sourcing platforms effectively to progress on cyber ‘definition of good’
• Coach & develop next set of Cyber Researchers, Data Scientists, Leads, Pen-Testers, and Engineering teams

YOU MUST HAVE

• Overall 10+ years of experience, out of which 5+ years of experience in cyber security identifying security risks, identifying best practices, and developing solutions
• Ability to articulate, document, and produce guides, instruction, and present cybersecurity AI methods and techniques
• Risk management and cybersecurity certifications and or experience

AI/ML Skills:

Proficiency in Python, R, SQL, and common AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, etc.

Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning etc.

Working knowledge in LLM models like Gemini, Llama, GPT, DALL-E and frameworks like LangChain & Vector databases like Faiss, Pinecone etc.

Experience in fine-tuning LLM using LoRA/QLoRA techniques.

Develop APIs and microservices to support Gen AI/ML applications.

Data Skills:

• Strong understanding of cloud platforms, particularly GCP, AWS, Azure, for deploying AI applications.
  Demonstrated experience in scaling AI/ML projects using MLOps practices for model lifecycle management.
• Ability to analyze complex data sets, derive insights, and solve sophisticated problems with innovative solutions.
• Strong communication and presentation skills, with the ability to explain complex AI/ML concepts and results to both technical and non-technical audiences.
• Strong understanding of Business Process, IT Industry Standards
• Stay up-to-date with the latest developments in Gen AI/ML and cloud technologies.
• Track record of innovation and leadership in productizing AI research

• JOB ID: HRD257273
• Category: Engineering
• Location: Devarabisanahalli Village, KR Varturhobli,,East Taluk - Phase I,Bangalore,KARNATAKA,560103,India
• Exempt