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- 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 –
- Advanced Analytics at IBM —
- Full Details &

How to Apply IBM is seeking a fresh ML Engineer –
- Advanced Analytics in Bengaluru, Karnataka, India , offering a competitive salary of ₹11–₹18 LPA while working with advanced machine learning tools. This role is pivotal as the demand for skilled ML Engineers is surging, driven by significant investments in AI and analytics across various sectors. The ML Engineer –
- Advanced Analytics role is crucial in the technology landscape, particularly as companies like IBM expand their AI capabilities. With a focus on developing scalable ML solutions, this position directly contributes to enhancing IBM's offerings, making it an essential part of the company's growth strategy in the competitive tech market. IBM is recognized as an employer due to its long-standing reputation as a leader in AI and cloud computing solutions, with over 350,000 employees globally. The company fosters a culture of innovation and collaboration, providing freshers with the opportunity to work on industry-standard tools like TensorFlow and PyTorch , which are often not accessible in smaller firms. This position is ideal for 2022, 2023, 2024, 2025 graduates holding a Bachelor’s Degree and possessing 0-2 years experience

- With a salary range of ₹11–₹18 LPA , this role offers a solid entry point into the tech industry, especially for those eager to dive into machine learning. In this role, you will gain hands-on experience with essential skills such as Machine Learning , Python , scikit-learn , Deep Learning , and ML Algorithms
- Working on production-ready ML software and model deployment will not only enhance your technical expertise but also open doors to advanced career opportunities in AI and analytics. ?
- 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 ML Engineer –
- Advanced Analytics at IBM is to develop creative machine learning solutions that address complex business challenges, leveraging cutting-edge technologies. Develop and implement machine learning models using Python and TensorFlow to solve intricate business problems effectively. Utilize scikit-learn for data preprocessing and feature engineering, enhancing model performance through rigorous data analysis. Collaborate with cross-functional teams, including Data Science and Software Engineering , to integrate ML solutions into existing products seamlessly. Analyze model performance metrics to ensure the deployment of production-ready ML software that meets business requirements. Take ownership of end-to-end model deployment processes, ensuring scalability and efficiency in real-world applications. Document processes and communicate findings to stakeholders through detailed reports and presentations, ensuring clarity and understanding. Engage with clients to understand their needs and troubleshoot any issues related to ML solutions , fostering strong client relationships. This role emphasizes ownership and direct impact, allowing you to contribute significantly to IBM's innovative projects and client success.

Required Skills &
- Technical Competencies The skill profile for this role requires a solid foundation in machine learning and software engineering, essential for developing robust solutions at IBM
- Technical Skills Machine Learning — entry — essential for developing algorithms that drive IBM's AI solutions, requiring a foundational understanding of ML concepts. Python — entry — the primary programming language used for model development, necessitating proficiency in writing efficient code. Deep Learning — entry — applied in creating neural networks for complex data sets, crucial for tasks like image and speech recognition. TensorFlow — entry — a framework used daily for building and training ML models, requiring familiarity with its functionalities. PyTorch — entry — utilized for developing deep learning applications, enhancing model training and evaluation processes.

Model

Deployment — entry — understanding of how to transition models from development to production, evaluated through practical assessments.



ML Algorithms — entry — knowledge of various algorithms is crucial for selecting the right approach to solve specific business problems. When showcasing these technical skills in your resume or interview, emphasize your hands-on experience with specific tools and projects that demonstrate your capabilities.

Eligibility Criteria

This role is designed for recent graduates eager to start their careers in machine learning and analytics at IBM
- A Bachelor's degree in Computer Science , Engineering , or related fields is required. Eligible batches include 2022 , 2023 , 2024 , and 2025 , allowing recent graduates to apply. While relevant experience is preferred, freshers are encouraged to apply, especially those with hands-on projects or internships. A minimum CGPA of 7.0 is preferred, ensuring candidates have a solid academic background. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a candidate's application. Documentation &

- Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant skills and projects. Include links to your GitHub or portfolio showcasing your work.

Pro tip: Tailor your application to highlight specific projects that demonstrate your proficiency with TensorFlow and scikit-learn , as these are critical for this role.

Salary for ML Engineer –

- Advanced Analytics at IBM ?

Compensation ₹11–₹18 LPA The advertised compensation for the ML Engineer –
- Advanced Analytics 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 –
- Advanced Analytics Upskilling with the right resources significantly enhances your chances of selection for this specific role at IBM
- Recommended Courses &
- Resources Machine Learning —
- Essential for understanding core ML concepts and algorithms. Python —
- A fundamental programming language for ML applications. scikit-learn —
- Key library for implementing ML algorithms effectively. TensorFlow —
- Crucial for building and deploying deep learning models. KodNest —
- Offers practical projects to enhance your ML skills. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply.

Common

Mistakes to Avoid ❌

- Failing to tailor the resume —
- Highlight specific skills listed in the . ❌
- Neglecting relevant projects —
- Include internships or projects demonstrating hands-on ML experience. ❌
- Overlooking soft skills —
- Emphasize communication skills crucial for collaboration. ❌
- Submitting a generic cover letter —
- Personalize it to reflect genuine interest in IBM and the role. ❌
- Not preparing for technical interviews —
- Practice coding problems and ML concepts thoroughly. ❌
- Ignoring application deadlines —
- Follow application instructions carefully to avoid disqualification.

Before You

Apply —
- Checklist ✅
- Research IBM 's recent projects and initiatives to tailor your application. ✅
- Update your resume to reflect relevant skills and experiences specific to the ML Engineer role. ✅
- Prepare a cover letter that articulates your interest in IBM and the position. ✅
- Gather any necessary documents, including transcripts and certificates, before applying. ✅
- Review the application portal for specific submission guidelines. ✅
- Practice common ML interview questions and coding challenges. ✅
- 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 –
- Advanced Analytics Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Machine Learning Python TensorFlow Deep Learning Model Deployment Scikit-learn ML Algorithms Production-Ready Software Scalable Solutions Distributed Systems Software Engineering Advanced Analytics Resume Tips for This Role Highlight relevant coursework or projects in machine learning and analytics to align with the role's requirements. Emphasize teamwork and collaboration experiences, as IBM values cross-functional cooperation. Include links to your portfolio or GitHub to showcase practical applications of your skills. Optimize your resume with keywords from the to improve ATS compatibility. Avoid including unrelated work experience that does not demonstrate your fit for the ML Engineer role.



Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers.

Pro tip: Avoid including generic skills or experiences that do not directly relate to the ML Engineer position.

How to Apply for ML Engineer –

- Advanced Analytics at IBM Apply Now —
- IBM Visit the IBM careers page and search for the ML Engineer –
- Advanced Analytics position. Prepare your resume in PDF format, ensuring it highlights relevant skills and experiences. Fill out the application form accurately, providing all requested information. After submission, you can expect a confirmation email regarding your application status. Use the application tracking feature on the IBM portal to monitor your application progress. Applications reviewed on a rolling basis — early submission recommended.

Apply

Now —
- IBM NexisGrow.com does not charge any fees for job applications. IBM IBM , originally founded as the Computing-Tabulating-Recording Company in 1911 , has its headquarters in Armonk, New York. With a workforce of over 280,000 employees , IBM operates in more than 170 countries , showcasing its extensive global footprint and influence in the technology sector. Among its core offerings, IBM is recognized for its cutting-edge products such as the IBM Cloud , Red Hat OpenShift , and the Watson AI platform. These solutions empower businesses to leverage advanced analytics and cloud computing, solidifying IBM 's position as a leader in enterprise technology. The company culture at IBM is characterized by collaboration and innovation, reflected in its high employee satisfaction score of 4.2 on Glassdoor. IBM has received numerous accolades, including being listed among the World’s Most Ethical Companies, highlighting its commitment to ethical business practices and employee development programs. Recently, IBM announced a substantial investment in AI research, aiming to enhance its product offerings and maintain a competitive edge. This initiative is part of a broader strategy to expand its capabilities in machine learning and artificial intelligence, ensuring IBM remains at the forefront of technological advancements. For freshers in technology, IBM offers unparalleled access to mentorship and resources, providing a strong foundation for career growth. The company’s commitment to innovation and employee development makes it an ideal launchpad 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 –

- Advanced Analytics 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 –

- Advanced Analytics 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. ?
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