📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Honeywell 👥 Experience 0-2 years 🎓 Qualification Bachelor's degree in a technical engineering discipline 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹7.0 – ₹12.0 LPA 🏢 Industry Technology 🛠 Key Skills machine learning deep learning Python TensorFlow PyTorch AI Engr I at Honeywell — Full Details & How to Apply Honeywell is seeking an AI Engr I in Bengaluru, Karnataka, India , where fresh graduates can leverage their machine learning skills to develop cutting-edge AI solutions. This role offers a unique opportunity for recent graduates to dive into the world of artificial intelligence and contribute to innovative projects that impact millions. The demand for AI engineers is surging in India, with the technology sector rapidly integrating AI into its solutions. As a leader in this space, Honeywell is at the forefront of this transformation, making the AI Engr I position crucial for driving advancements in intelligent algorithms and enhancing the company's AI capabilities. What sets Honeywell apart as an employer is its rich history and commitment to innovation. Founded in 1906 , Honeywell employs over 110,000 people globally and is recognized for its pioneering products in aerospace and building technologies. This role not only contributes to the company's legacy but also offers a collaborative culture that fosters growth and creativity. We encourage 2022, 2023, 2024, 2025 graduates with a Bachelor's degree in a technical engineering discipline and 0-2 years experience to apply. The salary for this position ranges from ₹7.0 – ₹12.0 LPA , making it an attractive opportunity for fresh talent entering the field. In this role, you will gain hands-on experience with industry-leading tools such as TensorFlow and PyTorch , essential for developing scalable AI applications. This position opens doors to advanced career paths, allowing you to progress into senior AI roles within just 2-3 years , enhancing your professional trajectory in the technology sector. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the AI Engr I role at Honeywell is to develop innovative AI solutions that address real-world challenges, leveraging cutting-edge technologies to enhance operational efficiency. Develop and implement machine learning algorithms using Python to solve specific business problems, ensuring models are effective and efficient. Utilize TensorFlow to build and optimize deep learning models for various applications, focusing on accuracy and performance metrics. Collaborate with cross-functional teams, including data scientists and software engineers, to integrate AI solutions seamlessly into existing systems. Analyze performance metrics to evaluate the effectiveness of AI models, making data-driven improvements based on findings. Take ownership of specific projects, ensuring timely delivery and adherence to quality standards throughout the development process. Document processes and results, creating clear reports for stakeholders to understand project outcomes and implications. Engage with clients to understand their needs, providing tailored AI solutions that meet specific requirements and expectations. This role fosters an ownership culture, allowing individuals to make a direct impact on projects and contribute to the overall success of Honeywell . Required Skills & Technical Competencies The ideal candidate for the AI Engr I position should possess a robust skill profile that includes both technical and analytical competencies essential for AI development. Technical Skills Machine Learning — entry — essential for developing predictive models that address specific business challenges. Deep Learning — entry — practical application in building neural networks for complex data analysis tasks. Python Programming — entry — used daily for scripting and model development, proficiency is crucial for success in this role. TensorFlow — entry — familiarity is necessary for implementing deep learning solutions effectively. PyTorch — entry — knowledge of this framework aids in developing and optimizing AI models. Soft Skills & Professional Competencies Analytical Problem-Solving — critical for troubleshooting issues and optimizing AI models based on performance metrics. Effective Communication — necessary for documenting processes and engaging with clients to understand their needs. Time Management — essential for taking ownership of projects and ensuring timely delivery of AI solutions. Attention to Detail — important for evaluating model performance and making data-driven improvements. Good to Have (Bonus Skills) Experience with data visualization tools, enhancing the ability to present findings effectively to stakeholders. Knowledge of cloud platforms like AWS , which can facilitate scalable AI deployments. Familiarity with version control systems like Git , streamlining collaboration and code management. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in relevant areas. Eligibility Criteria This role is designed for recent graduates who are eager to start their careers in AI and possess the foundational knowledge required for success. A Bachelor's degree in Computer Science, Data Science, AI, or related fields is required to ensure foundational knowledge. Eligible batches include 2022, 2023, 2024, and 2025 , allowing fresh graduates to apply directly after completing their studies. No prior experience is necessary, making this role ideal for recent graduates eager to start their careers. A minimum academic performance of 60% is preferred to demonstrate a solid understanding of technical concepts. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a candidate's application. Documentation & Portfolio Requirements Ensure your resume is formatted clearly, highlighting your educational background, relevant projects, and any technical skills. Include links to your portfolio or GitHub for easy access to your work. Pro tip: Tailor your application to highlight specific projects that demonstrate your expertise in machine learning and deep learning frameworks. Salary for AI Engr I at Honeywell 💰 Compensation ₹7.0 – ₹12.0 LPA The advertised compensation for the AI Engr I role at Honeywell is ₹7.0 – ₹12.0 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Honeywell The selection process for the AI Engr I role is designed to identify candidates with strong technical skills and cultural fit. 1 Online Assessment — 60 minutes, testing coding skills and basic machine learning concepts 2 Technical Interview — focuses on machine learning algorithms, Python programming, and problem-solving skills 3 Behavioral Interview — assesses cultural fit and teamwork through scenario-based questions 4 HR Interview — discusses salary expectations, company culture, and next steps in the hiring process Topic-wise Preparation Guide Round 1: Online Assessment Data Structures — understanding arrays, lists, and trees is crucial for coding challenges — GeeksForGeeks Basic Algorithms — sorting and searching algorithms relevant to machine learning tasks — Khan Academy Machine Learning Fundamentals — key concepts and algorithms that may be tested — Coursera Python Syntax — familiarity with Python's syntax and libraries used in AI — W3Schools Round 2: Technical Interview Machine Learning Algorithms — in-depth knowledge of supervised and unsupervised learning techniques — Coursera Deep Learning Concepts — understanding neural networks and their applications — Coursera Python Libraries — practical knowledge of libraries like NumPy and Pandas — freeCodeCamp Model Evaluation Techniques — metrics for assessing model performance — Khan Academy Data Preprocessing — techniques for preparing data for machine learning — GeeksForGeeks Round 3: Behavioral Interview Behavioral Questions — using the STAR method to articulate past experiences — MindTools Team Collaboration — examples of successful teamwork in projects — MindTools Technical Deep-Dive — discussing specific projects or technologies used in previous work or studies — YouTube Timeline & Expectations The typical timeline from application to offer can range from 2 to 4 weeks , depending on the number of candidates and interview schedules. Prepare thoroughly for each round, as Honeywell values both technical expertise and cultural fit. Expected Interview Questions for AI Engr I at Honeywell These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain the difference between supervised and unsupervised learning. How would you implement a neural network using TensorFlow? What are the key metrics for evaluating a machine learning model? Describe a project where you used Python for data analysis. What challenges did you face while working with deep learning models? How do you handle overfitting in machine learning? Behavioral Questions Describe a time when you faced a challenge in a project and how you overcame it. How do you prioritize tasks when working on multiple projects? Give an example of how you worked effectively in a team. What motivates you to work in the field of AI? Role-Specific Questions What interests you about developing AI solutions at Honeywell? How do you stay updated with the latest trends in AI and machine learning? What specific skills do you bring to this role that set you apart? Structure your answers using the STAR method to clearly demonstrate your experiences and skills. Resume Tailoring & ATS Keywords for AI Engr I Optimizing your resume for ATS is crucial for standing out in the selection process. ATS Keywords to Include AI Engineering Machine Learning Deep Learning Python TensorFlow PyTorch Data Science Algorithms Predictive Models Analytical Skills Problem Solving Collaboration Resume Tips for This Role Highlight relevant projects that demonstrate your skills in machine learning and AI. Emphasize your technical degree and any coursework related to AI or data science. Include links to your GitHub or portfolio showcasing your coding projects. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not pertain to the role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or unrelated job experiences; focus on relevant technical and soft skills. About Honeywell Founded in 1906 , Honeywell is headquartered in Charlotte, North Carolina , and operates in over 70 countries with a workforce of over 110,000 employees . With a rich history spanning more than 115 years , the company has established a significant global footprint, providing innovative solutions across various sectors. Honeywell's core offerings include advanced technologies such as Honeywell Aerospace , Building Technologies , and Performance Materials and Technologies . The company is also a leader in developing Industrial Internet of Things (IIoT) solutions, enhancing operational efficiency for clients worldwide. The workplace culture at Honeywell is recognized for its focus on employee growth, reflected in its Glassdoor rating of 4.0 . The company has received accolades such as the Great Place to Work certification, showcasing its commitment to fostering a supportive environment through various employee development programs. Recently, Honeywell announced a substantial investment of $1 billion in AI research, aiming to enhance its product offerings in sectors like aerospace and building technologies. This initiative underscores the company's commitment to innovation and expanding its market share in emerging technologies. For freshers in technology, Honeywell offers a unique platform to engage with cutting-edge technologies and participate in projects that influence multiple industries. The company’s focus on innovation and employee development makes it an ideal launchpad for a successful career. Why Join Honeywell as AI Engr I? Joining Honeywell as an AI Engr I offers a unique chance to work with advanced technologies and contribute to transformative projects in AI and machine learning. Hands-on Experience — Gain practical skills in TensorFlow and PyTorch , essential for developing sophisticated machine learning models. Mentorship Opportunities — Collaborate with seasoned professionals in AI, receiving guidance that accelerates your career growth. Clear Career Pathways — After 1-2 years, you can advance to roles such as Senior AI Engineer or Data Scientist, with structured development plans. Collaborative Culture — Honeywell promotes teamwork and innovation, creating a supportive environment for freshers to thrive. Vibrant Location — Working in Bengaluru places you in a tech-savvy community, enhancing your professional network and lifestyle. According to NexisGrow.com, starting your career at Honeywell as an AI Engr I positions you at the forefront of technological advancements, providing invaluable experience in a leading global company. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for AI Engr I at Honeywell? Eligibility Tap to expand + Answer Candidates with Bachelor's degree in a technical engineering discipline and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: machine learning, deep learning, Python, TensorFlow, PyTorch. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹7.0 – ₹12.0 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Honeywell? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: machine learning, deep learning, Python, TensorFlow, PyTorch. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the AI Engr I interview? Preparation Tap to expand + Answer (1) Core concepts of machine learning, deep learning, Python, TensorFlow, PyTorch, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Honeywell research, (5) Clear communication. ? What is the work culture like at Honeywell? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs More jobs at Honeywell Work From Home jobs Ready to Apply? Don't Miss This Opportunity! 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