📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Wisdom AI 👥 Experience 3-5 years 🎓 Qualification Bachelor’s or Master’s degree in Computer Science or a related field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹25–₹45 LPA 🏢 Industry Technology 🛠 Key Skills Natural Language Processing Machine Learning NLP LLMs Search/Retrieval Systems Evaluation Pipelines Software Engineer, NLP/Machine Learning at Wisdom AI — Full Details & How to Apply Wisdom AI is seeking a Software Engineer, NLP/Machine Learning in Bengaluru, Karnataka, India , to innovate in language understanding. With a salary range of ₹25–₹45 LPA , this role offers significant career advancement for freshers. The demand for NLP and Machine Learning skills is surging in India, with companies like Wisdom AI leading the charge in AI-driven solutions. This specific role is crucial as organizations increasingly rely on advanced language processing technologies to enhance user experiences and streamline operations. Founded in 2020 , Wisdom AI has rapidly grown to over 200 employees , focusing on cutting-edge AI technologies. This growth reflects the company’s commitment to innovation and its position as a leader in the tech industry, making it an attractive employer for aspiring Software Engineer, NLP/Machine Learning professionals. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s or Master’s degree in Computer Science or a related field to apply. Candidates should have 3-5 years experience in relevant technologies. The competitive salary of ₹25–₹45 LPA further enhances the appeal of this opportunity. In this role, you will gain hands-on experience with Natural Language Processing , Machine Learning , NLP , LLMs , and Search/Retrieval Systems . This unique exposure to evaluation pipelines and LLM workflows will set you apart from peers, opening doors to advanced career opportunities in the tech industry. 📊 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 core mission of the Software Engineer, NLP/Machine Learning role at Wisdom AI is to develop innovative solutions that enhance language understanding through advanced NLP techniques and machine learning methodologies. Develop advanced NLP workflows using Python and TensorFlow to enhance language understanding capabilities, ensuring robust performance in AI applications. Utilize LLMs to solve complex language processing problems, significantly improving the accuracy of AI-driven applications and user interactions. Collaborate with product and engineering teams to align NLP solutions with business objectives and user needs, driving impactful project outcomes. Design evaluation pipelines that measure the performance of AI models, employing metrics such as precision and recall to ensure high-quality outputs. Take ownership of project timelines and deliverables, driving initiatives from concept to implementation with a focus on accountability. Document processes and results to facilitate knowledge sharing and continuous improvement within the team, promoting a culture of learning. Engage with clients to understand their needs and provide tailored NLP solutions that address specific challenges, enhancing customer satisfaction. By taking ownership of projects, you will directly impact the success of Wisdom AI and contribute to the advancement of NLP technologies. Required Skills & Technical Competencies The ideal candidate for the Software Engineer, NLP/Machine Learning role must possess a strong technical skill profile, particularly in NLP and machine learning technologies. Technical Skills Natural Language Processing — advanced — essential for developing algorithms that understand and generate human language using libraries like NLTK or SpaCy . Machine Learning — advanced — critical for building predictive models, focusing on supervised and unsupervised learning techniques. LLMs (Large Language Models) — advanced — used daily to enhance language understanding and generation, requiring familiarity with frameworks like Hugging Face . Search/Retrieval Systems — intermediate — important for improving data retrieval processes, necessitating knowledge of Elasticsearch or similar tools. Evaluation Pipelines — intermediate — necessary for assessing model performance, with experience in metrics like F1 score . When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in real-world applications. Eligibility Criteria This role is designed for candidates with a strong technical foundation and relevant experience in computer science or related fields. Must hold a Bachelor’s or Master’s degree in Computer Science or a related field. Eligible batches include 2023 to 2026 , allowing fresh graduates to apply. Requires 3-5 years of experience, but freshers with relevant internships or projects may also be considered. A minimum CGPA of 7.0 is preferred, reflecting academic excellence in technical subjects. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Submit your resume in a clear format, including your educational background, relevant experience, and links to your portfolio or GitHub showcasing your projects. Pro tip: Highlight specific projects in your portfolio that demonstrate your expertise in NLP and machine learning to stand out in your application. Salary for Software Engineer, NLP/Machine Learning at Wisdom AI 💰 Compensation ₹25–₹45 LPA The advertised compensation for the Software Engineer, NLP/Machine Learning role at Wisdom AI is ₹25–₹45 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 Software Engineer, NLP/Machine Learning Upskilling with the right resources significantly enhances your chances of selection for this specialized role. Recommended Courses & Resources Natural Language Processing — This course provides foundational knowledge essential for NLP roles. Machine Learning — Understanding ML algorithms is crucial for developing NLP applications. KodNest — Offers hands-on projects that enhance practical skills in AI technologies. 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 relevant skills and experiences specific to NLP and Machine Learning. ❌ Neglecting to include quantifiable achievements — Demonstrate your impact in past projects. ❌ Using generic language in your application — Reflect the specific requirements of the role. ❌ Overlooking teamwork and collaboration — Showcase these in technical projects. ❌ Not preparing for technical interviews — Practice problem-solving and coding challenges relevant to NLP. ❌ Submitting applications without proofreading — Ensure professionalism by checking for errors. Before You Apply — Checklist ✅ Research Wisdom AI and its recent projects to tailor your application effectively. ✅ Update your resume to reflect relevant skills and experiences in NLP and Machine Learning. ✅ Prepare a cover letter that articulates your interest in AI and why you want to work at Wisdom AI . ✅ Gather references who can speak to your technical abilities and teamwork skills. ✅ Ensure your LinkedIn profile is up-to-date and aligns with your application materials. ✅ Practice common technical interview questions related to NLP and Machine Learning. ✅ Double-check the application deadline and ensure all materials are submitted on time. ✅ Follow up on your application status after a week to express continued interest. Resume Tailoring & ATS Keywords for Software Engineer, NLP/Machine Learning Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Natural Language Processing Machine Learning LLMs Search Systems Evaluation Pipelines Python TensorFlow Data Retrieval Model Evaluation AI Solutions Collaborative Work Problem Solving Resume Tips for This Role Highlight specific NLP projects or coursework that demonstrate your technical skills relevant to this role. Emphasize collaborative experiences, especially in tech-focused environments, to align with Wisdom AI 's culture. Include links to your portfolio or GitHub to showcase practical applications of your skills. Optimize your resume for ATS by using keywords from the job description, particularly around NLP and Machine Learning. Avoid including unrelated work experience that does not showcase your technical abilities or interest in AI. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic skills that do not directly relate to NLP or Machine Learning. How to Apply for Software Engineer, NLP/Machine Learning at Wisdom AI Apply Now — Wisdom AI Visit the application portal and create an account to start your application. Upload your resume in PDF format, ensuring it is tailored to the job description. Fill out the application form completely, providing accurate information about your education and experience. After submission, you can expect an email confirmation and details about the next steps. Track your application status through the portal to stay updated on your progress. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Wisdom AI NexisGrow.com does not charge any fees for job applications. Wisdom AI Wisdom AI was founded in 2020 and is headquartered in Bengaluru, Karnataka . With a focus on revolutionizing AI applications, the company has rapidly grown to employ over 200 professionals . Its global footprint extends to partnerships across various sectors, enhancing its influence in the technology landscape. Specializing in Natural Language Processing and Machine Learning , Wisdom AI offers innovative solutions such as AI-driven chatbots and search/retrieval systems . These products are designed to enhance user interaction with technology, making complex tasks more intuitive and efficient for clients across diverse industries. The company culture at Wisdom AI is characterized by collaboration and continuous learning. With a 4.5-star rating on Glassdoor , employees appreciate the emphasis on professional development and mentorship programs. The company has also been recognized for its inclusive work environment, fostering creativity and innovation among its workforce. Recently, Wisdom AI secured ₹100 crore in funding to expand its research capabilities and enhance product offerings in the AI space. This investment will enable the company to accelerate its development of cutting-edge technologies, positioning it as a leader in the rapidly evolving AI market. For freshers in technology, Wisdom AI presents a unique career launchpad. Working on groundbreaking projects in NLP and Machine Learning , new employees gain hands-on experience with advanced technologies, setting the stage for future career growth in the AI industry. Company Details Industry Technology Location Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website 🔗 jobs.ashbyhq.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Software Engineer, NLP/Machine Learning at Wisdom AI? Eligibility Tap to expand + Answer Candidates with Bachelor’s or Master’s degree in Computer Science or a related field and 3-5 years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Natural Language Processing, Machine Learning, NLP, LLMs, Search/Retrieval Systems. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹25–₹45 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Wisdom AI? 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: Natural Language Processing, Machine Learning, NLP, LLMs, Search/Retrieval Systems. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Software Engineer, NLP/Machine Learning interview? Preparation Tap to expand + Answer (1) Core concepts of Natural Language Processing, Machine Learning, NLP, LLMs, Search/Retrieval Systems, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Wisdom AI research, (5) Clear communication. ? What is the work culture like at Wisdom AI? 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 Latest Fresher jobs More jobs at Wisdom AI Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. 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