📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka 🏢 Company Honeywell 👥 Experience 0-2 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹8L – ₹14L LPA 🏢 Industry Technology 🛠 Key Skills Python R SciKit-Learn TensorFlow PyTorch SQL No-SQL Snowflake Azure Databricks LangChain AI Engineer I at Honeywell — Full Details & How to Apply Are you ready to embark on a transformative career in artificial intelligence? Honeywell is seeking a passionate AI Engineer I to join their innovative team in Bengaluru, Karnataka . This role offers a unique opportunity to work with cutting-edge AI technologies and contribute to projects that redefine industry standards. The role of AI Engineer I is crucial in today's technology-driven landscape, where AI solutions are revolutionizing operational efficiencies across various sectors. With the rapid advancement of technologies such as large language models and machine learning , the demand for skilled professionals in AI is skyrocketing. As an AI Engineer I , you will be at the forefront of this evolution, developing models that not only enhance productivity but also drive innovation in Honeywell's product offerings. What sets Honeywell apart as an employer is its commitment to fostering a culture of creativity and collaboration. With a legacy of excellence in technology innovation, Honeywell provides an environment where employees can thrive. The company is not only a leader in the tech industry but also invests heavily in the professional growth of its employees, making it an ideal place for budding engineers to launch their careers. This role is ideal for both freshers and candidates with up to 2 years of experience . If you are a B.Tech or MCA graduate from the 2023, 2024, 2025, or 2026 batches, you are encouraged to apply. Your educational background will serve as a strong foundation as you dive into the world of AI and machine learning at Honeywell . In this role, you will gain hands-on experience with essential technologies such as Python , TensorFlow , and SQL . You will also develop skills in cloud architecture , production-grade Java development , and Agile workflows . This is a fantastic opportunity to build a robust skill set that is highly sought after in the tech industry. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring that you have the most accurate and up-to-date information to make your application process seamless. Don’t miss your chance to be part of Honeywell's journey in shaping the future of technology. Apply online today for the AI Engineer I position and take your first step towards a rewarding career. Job Role & Responsibilities The role of an AI Engineer I at Honeywell is pivotal in driving innovation through advanced technology solutions. As part of a dynamic team, you will develop and implement AI models that address complex business challenges, contributing significantly to Honeywell's mission of enhancing operational efficiency and decision-making. Develop and implement AI models using Python and TensorFlow to solve specific business problems within Honeywell's technology solutions. Utilize tools like SciKit-Learn and PyTorch to enhance machine learning algorithms, ensuring high performance and accuracy in data analysis. Collaborate with cross-functional teams , including data scientists and software engineers, to integrate AI solutions into existing systems and products. Analyze large datasets using SQL and No-SQL databases to derive actionable insights that improve decision-making processes. Take ownership of projects from conception to deployment, ensuring timely delivery and adherence to quality standards while continuously learning and adapting. Document processes and results effectively, preparing reports and presentations for stakeholders to communicate findings and recommendations. Innovate and troubleshoot AI solutions, addressing challenges proactively to enhance system performance and user experience. Participate in code reviews and contribute to team knowledge sharing to foster a culture of continuous improvement. This role embodies an ownership culture, where your contributions directly impact the success of Honeywell's technological advancements and customer satisfaction. Required Skills & Technical Competencies The ideal candidate for the AI Engineer I position at Honeywell should possess a robust skill profile that combines technical expertise with analytical capabilities. This combination is essential for developing innovative AI solutions that drive business success. Technical Skills Python (Advanced) — essential for developing AI algorithms and automating tasks effectively. R (Intermediate) — used for statistical analysis and data visualization to interpret complex datasets. TensorFlow (Intermediate) — critical for building and training machine learning models that solve real-world problems. PyTorch (Intermediate) — utilized for developing dynamic computational graphs in AI model training. SQL (Proficient) — necessary for querying relational databases to extract meaningful insights from large datasets. No-SQL (Familiar) — enhances your ability to work with unstructured data and diverse data models. Azure Databricks (Familiar) — beneficial for managing and analyzing large datasets in a cloud environment. Tableau (Proficient) — used for creating interactive data visualizations that communicate insights effectively. Soft Skills & Professional Competencies Analytical thinking — ability to dissect complex problems and derive actionable solutions. Effective communication skills — crucial for collaborating with diverse teams and presenting technical information clearly. Time management — essential for prioritizing tasks and meeting project deadlines in a fast-paced environment. Team collaboration — vital for working effectively within cross-functional teams to achieve common goals. Good to Have (Bonus) LangChain — familiarity with this framework enhances your ability to work with large language models. Spark — experience with this data processing framework is advantageous for handling big data. Dash — knowledge of this tool aids in building analytical web applications. To effectively showcase these skills in your resume or interview for the AI Engineer I role at Honeywell , highlight relevant projects, internships, and any certifications in AI and machine learning that demonstrate your technical competency and passion for the field. Eligibility Criteria This role is designed for recent graduates eager to start their careers in AI and technology. The AI Engineer I position at Honeywell welcomes candidates who are enthusiastic about leveraging their skills in a practical environment. Candidates must hold a degree in any discipline , with a preference for those in computer science, engineering, or related fields. Eligible batches: 2023, 2024, 2025, and 2026 passouts are encouraged to apply. A minimum CGPA of 7.0 is preferred, reflecting academic excellence and commitment to learning. This role is open to freshers and candidates with up to 2 years of experience . Prior internship or hands-on project experience is a strong advantage. Demonstrated proficiency in relevant technical skills and tools will enhance your application. Documentation & Portfolio Requirements Prepare a well-structured resume highlighting your academic achievements, relevant projects, and any certifications in AI and machine learning. Additionally, consider including a link to your GitHub repository or portfolio showcasing your work. Pro Tip: To improve your application success rate for the AI Engineer I role at Honeywell , emphasize any relevant projects or internships that demonstrate your practical skills and problem-solving abilities. Salary & Benefits 💰 Compensation ₹8L – ₹14L LPA The compensation philosophy for the AI Engineer I role at Honeywell emphasizes a competitive salary that reflects the skills and experience required in the technology industry . The salary range for this position is ₹8L – ₹14L LPA , ensuring that employees are rewarded for their contributions and expertise. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — contributions to Provident Fund and pension schemes Performance Bonus — annual bonuses based on individual and company performance Meal Allowance — daily meal subsidies to promote employee well-being Transportation Support — assistance for commuting costs Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Flexible Working Hours — options for hybrid work arrangements to enhance work-life balance Mentorship Programs — guidance from experienced professionals for career growth Internal Mobility Opportunities — pathways for advancement within the company Stock Options — potential equity in the company as part of the compensation package Career Progression & Salary Growth At Honeywell , employees can expect structured promotion timelines and annual performance appraisals that typically result in salary increases of 10-15% . The company is committed to rapid career advancement through continuous learning and development opportunities. NexisGrow.com tip: When negotiating your salary, consider highlighting your unique skills in AI technologies and any relevant projects that demonstrate your value to Honeywell . Selection Process The hiring philosophy at Honeywell focuses on identifying candidates who not only possess the necessary technical skills but also align with the company's values and culture. The selection process is designed to ensure a thorough evaluation of each candidate's fit for the AI Engineer I role. 1 Round 1: Initial Screening — Review of applications to assess qualifications and fit for the role. 2 Round 2: Technical Interview — In-depth discussion focusing on your proficiency in AI technologies and problem-solving skills. 3 Round 3: Behavioral Interview — Evaluation of cultural fit and teamwork abilities within Honeywell 's values. 4 Final Offer Stage — Background check and discussions regarding salary and benefits. What Each Round Tests Round 1 focuses on your educational background and relevant experience. Round 2 assesses your technical knowledge in AI and machine learning . Round 3 evaluates your communication skills and ability to work in teams. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application to offer, depending on the number of candidates. You can expect timely communication from Honeywell regarding your application status. Interview Prep Tip: Familiarize yourself with Honeywell 's core values and be prepared to discuss how your experiences align with their mission. How to Apply for AI Engineer I at Honeywell Apply Now — Honeywell Step 1: Click the Apply button or visit the official career link to access the application portal. Step 2: Fill in your profile and upload your resume, highlighting relevant skills and projects that align with the AI Engineer I role. Step 3: Expect a confirmation email regarding your application status and details about the screening process. Step 4: Prepare for interviews by reviewing common questions related to AI technologies and problem-solving . Step 5: Track your application status through the portal for updates. Resume & Profile Tips for This Role Highlight your hands-on experience with AI technologies and relevant projects. Emphasize your problem-solving abilities and communication skills . Include any certifications related to machine learning or data science . Showcase your teamwork experience and contributions to cross-functional teams . Applications are accepted on a rolling basis, so apply early to increase your chances of securing an interview. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the AI Engineer I role at Honeywell? Eligibility Tap to expand + Answer Candidates must have a degree in any discipline, with a preference for computer science or engineering graduates from the 2023 to 2026 batches. ? What is the interview process for AI Engineer I at Honeywell? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview focusing on AI skills, and a behavioral interview to assess cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will work primarily with Python, TensorFlow, and SciKit-Learn, along with tools like SQL, Azure Databricks, and visualization platforms such as Tableau. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The salary ranges from ₹8L to ₹14L LPA, with opportunities for performance bonuses and salary growth based on annual reviews. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is primarily onsite in Bengaluru, with potential for hybrid work arrangements depending on project needs. ? What is the career growth path after joining Honeywell as AI Engineer I? Growth Tap to expand + Answer You can expect to progress to roles such as AI Engineer II or Senior AI Engineer within 2-3 years, with opportunities for specialization. ? How should I prepare for the AI Engineer I interview at Honeywell? Preparation Tap to expand + Answer Focus on brushing up your skills in Python, machine learning frameworks, and data analysis techniques, and prepare to discuss relevant projects. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official link, ensuring your resume highlights relevant skills, projects, and academic achievements. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is typically a 3-6 month probation period during which your performance and fit within the team will be assessed. ? What is the work culture like at Honeywell? Culture Tap to expand + Answer Honeywell promotes a culture of innovation, collaboration, and diversity, encouraging continuous learning and team-oriented projects. Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. 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