📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company IBM 👥 Experience 0-2 years 🎓 Qualification Bachelor’s Degree 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹11–₹18 LPA 🏢 Industry Technology 🛠 Key Skills Machine Learning Python scikit-learn TensorFlow PyTorch Deep Learning ML Algorithms Production-Ready ML Software Model Deployment Scalable ML Solutions ML Engineer at IBM — Full Details & How to Apply IBM is seeking an ML Engineer in Bengaluru, Karnataka, India , offering freshers a chance to work with cutting-edge AI technologies. This role is pivotal in shaping scalable ML solutions for diverse industries, making it an excellent entry point for aspiring engineers. The demand for ML Engineer jobs is surging in India, with companies like IBM leading the charge in AI and analytics solutions. As organizations increasingly rely on machine learning to drive innovation, this role is crucial for developing production-ready ML software that meets the needs of various sectors. IBM , founded in 1911 , has over 350,000 employees globally and is a pioneer in technology and consulting services. The company’s commitment to research and development ensures that as an ML Engineer , you will be at the forefront of technological advancements, contributing to projects that enhance IBM 's AI capabilities. We encourage 2022, 2023, 2024, 2025 graduates with a Bachelor’s Degree and 0-2 years experience to apply. This role offers a competitive salary ranging from ₹11–₹18 LPA , making it an attractive opportunity for fresh talent entering the field. In this position, you will gain hands-on experience with essential skills such as Machine Learning , Python , scikit-learn , TensorFlow , and PyTorch . Working on scalable ML solutions and model deployment will not only enhance your technical expertise but also open doors to advanced roles in software engineering and data science. 📊 Role Difficulty: Medium | Competition Level: High | 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 ML Engineer at IBM will focus on developing and implementing machine learning models using Python and TensorFlow to address real-world challenges effectively. Develop and implement machine learning models using Python and TensorFlow to solve specific client problems. Utilize scikit-learn for building production-ready ML software that adheres to client specifications and performance standards. Collaborate with the Advanced Analytics team to integrate ML solutions into existing systems and workflows. Analyze model performance metrics to ensure optimal functionality and scalability of deployed solutions. Take ownership of model deployment processes , ensuring seamless integration into production environments. Document ML processes and results for internal knowledge sharing and client reporting purposes. Engage with clients to understand their needs and provide tailored ML solutions that meet specific requirements. This role fosters an ownership culture, allowing you to make a direct impact on client success through innovative machine learning applications . Required Skills & Technical Competencies The ideal candidate will possess a robust skill profile in machine learning and related technologies, essential for developing effective solutions at IBM . Technical Skills Machine Learning — entry — essential for developing algorithms that power IBM's AI solutions . Python — entry — the primary programming language used daily for scripting and model development. TensorFlow — intermediate — critical for building and training deep learning models . Deep Learning — intermediate — knowledge of neural networks is vital for creating complex models. Model Deployment — entry — understanding deployment strategies is crucial for effective production operation. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency with each technology. Eligibility Criteria This role is designed for recent graduates who are eager to apply their technical knowledge in a practical setting at IBM . A Bachelor's degree in Computer Science , Engineering , or related fields is required. Eligible batches include 2022 , 2023 , 2024 , and 2025 graduates. While hands-on experience is preferred, freshers can apply if they demonstrate relevant skills through projects or internships. A minimum CGPA of 6.0 is often expected to ensure a solid academic background. Having a portfolio or GitHub showcasing projects can significantly enhance your application. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant projects, skills, and experiences that align with the ML Engineer role. Pro tip: Include links to your GitHub or project portfolio to showcase your practical experience with machine learning technologies. Salary for ML Engineer at IBM 💰 Compensation ₹11–₹18 LPA The advertised compensation for the ML Engineer role at IBM is ₹11–₹18 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for ML Engineer Upskilling with the right resources significantly enhances your chances of selection for the ML Engineer role at IBM . Recommended Courses & Resources Machine Learning — Essential for understanding core ML concepts and algorithms. Python — The primary programming language for ML development. scikit-learn — Crucial for implementing ML algorithms effectively. TensorFlow — Key for building and deploying deep learning models. KodNest — Offers practical coding experience and project work. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Highlight specific skills mentioned in the job description. ❌ Neglecting relevant projects — Include internships or projects that showcase your machine learning capabilities. ❌ Using a generic cover letter — Customize it for IBM and the ML Engineer role. ❌ Overlooking soft skills — Demonstrate communication and teamwork abilities. ❌ Not preparing for technical interviews — Practice coding problems and ML concepts. ❌ Ignoring application deadlines — Follow application instructions carefully. Before You Apply — Checklist ✅ Research IBM's recent projects and initiatives in AI to tailor your application. ✅ Update your resume to reflect relevant skills and experiences in machine learning. ✅ Prepare a cover letter that connects your background to IBM's mission and values. ✅ Gather any necessary documents, including transcripts and certificates. ✅ Ensure your LinkedIn profile is up-to-date and aligns with your resume. ✅ Practice common interview questions related to machine learning and Python. ✅ Set reminders for application deadlines to ensure timely submission. ✅ Follow up on your application status after submission to express continued interest. Resume Tailoring & ATS Keywords for ML Engineer Optimizing your resume for ATS is crucial for the ML Engineer role at IBM . ATS Keywords to Include Machine Learning Python scikit-learn TensorFlow Deep Learning ML Algorithms Model Deployment Scalable ML Solutions Distributed Systems Software Engineering AI Advanced Analytics Resume Tips for This Role Highlight relevant coursework or projects in machine learning to demonstrate practical knowledge. Emphasize teamwork and collaboration experiences, particularly in tech-related projects. Include links to your GitHub or portfolio showcasing your coding skills and ML projects. Optimize your resume with keywords from the job description to pass ATS screenings. Avoid including unrelated work experience that does not demonstrate your technical skills. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated work experience that does not showcase your technical skills for this role. How to Apply for ML Engineer at IBM Apply Now — IBM Visit the IBM careers page and search for the ML Engineer position. Prepare your resume in PDF format, ensuring it highlights relevant skills and experiences. Fill out the application form accurately, providing all necessary details. After submission, expect a confirmation email regarding your application status. Use the application tracking system to monitor the progress of your application. Applications reviewed on rolling basis — early submission recommended. Apply Now — IBM NexisGrow.com does not charge any fees for job applications. IBM IBM was founded in 1911 and is headquartered in Armonk, New York . With a workforce of over 280,000 employees , IBM operates in more than 170 countries , including a significant presence in Bengaluru, Karnataka, India . This extensive global footprint enables IBM to leverage diverse markets and talent pools. IBM is a leader in AI and cloud computing solutions, particularly known for the IBM Cloud and the Watson platform , which has transformed data analysis across various industries. Additionally, IBM offers robust services in machine learning, including tools like Red Hat OpenShift that facilitate scalable application development. The culture at IBM emphasizes innovation and collaboration, earning it a 4.1 rating on Glassdoor as one of the best places to work. Employee programs such as the IBM Global University Program provide opportunities for continuous learning and professional growth, fostering a supportive environment for all employees. Recently, IBM announced a substantial $1 billion investment in AI research , reinforcing its position as a leader in machine learning technologies. This initiative aims to enhance the capabilities of IBM Cloud and further develop advanced AI solutions that meet evolving market demands. For freshers in technology, IBM offers unparalleled access to mentorship and resources, essential for launching a successful career. The company’s commitment to innovation and its extensive training programs provide a solid foundation for aspiring professionals in the tech industry. Company Details Industry Technology Location Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website 🔗 careers.ibm.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for ML Engineer at IBM? Eligibility Tap to expand + Answer Candidates with Bachelor’s Degree 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, Python, scikit-learn, TensorFlow, PyTorch. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹11–₹18 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at IBM? 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, Python, scikit-learn, 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 ML Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Machine Learning, Python, scikit-learn, TensorFlow, PyTorch, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) IBM research, (5) Clear communication. ? What is the work culture like at IBM? 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 IBM Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com