📋 Job Details at a Glance 📍 Location Bengaluru, India 🏢 Company EarnIn 👥 Experience 4+ years 🎓 Qualification MS or PhD in Computer Science or a related technical field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python Data Engineering NLP Computer Vision Senior Machine Learning Engineer at EarnIn — Full Details & How to Apply EarnIn is seeking a Senior Machine Learning Engineer to join our team in Bengaluru, India . This role offers a unique opportunity to drive innovation in the fintech space, where your expertise will directly influence product development and enhance user experience through advanced machine learning algorithms. The demand for Senior Machine Learning Engineer jobs is skyrocketing in the technology sector, particularly within fintech. As financial technology evolves, the need for sophisticated machine learning solutions has never been more critical. This role is pivotal for developing cutting-edge solutions that not only meet current market needs but also anticipate future trends. With a solid foundation in Python , Data Engineering , NLP , and Computer Vision , you will be at the forefront of transforming how users interact with financial services. EarnIn stands out as a leader in financial technology, fostering an innovative environment that encourages engineers to push boundaries. Our commitment to cutting-edge technology and a collaborative culture ensures that you will work alongside some of the brightest minds in the industry. Here, your contributions will be valued, and you will have the chance to work on projects that make a real difference in people's lives. The company’s focus on continuous learning and development makes it an ideal place for both seasoned professionals and those just starting their careers. This role is ideal for both freshers and candidates with up to 4 years of experience . Candidates must hold a MS or PhD in Computer Science or a related technical field , and we welcome applications from 2023, 2024, 2025, and 2026 graduates . If you possess a strong foundation in machine learning and a passion for fintech, this could be the perfect fit for you. In this position, you will gain invaluable experience in cloud architecture , production-grade Java development , and Agile workflows . You will have the opportunity to work on real-world problems, enhancing your skills while contributing to meaningful projects. The role promises not only professional growth but also the chance to be part of a team that is shaping the future of financial technology. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring you have the most accurate information to apply online and take the next step in your career with EarnIn . Job Role & Responsibilities The role of a Senior Machine Learning Engineer at EarnIn is pivotal in shaping the financial decision-making processes for users. By leveraging advanced machine learning techniques, you will directly contribute to enhancing user experiences and optimizing product offerings. Design and implement machine learning models that optimize financial decision-making processes for users, ensuring they are tailored to meet specific user needs. Utilize Python and relevant data engineering tools to analyze large datasets, extracting actionable insights that drive business strategies. Collaborate with cross-functional teams , including data scientists and product managers, to align machine learning projects with overarching business objectives. Measure and report on the performance of machine learning models , ensuring they meet established KPIs and user satisfaction metrics. Take ownership of projects, guiding them from conception through deployment while mentoring junior engineers to foster a culture of learning. Document processes and findings clearly to facilitate knowledge sharing and improve team workflows, contributing to a collaborative environment. Innovate by exploring new algorithms and technologies that could enhance EarnIn's product offerings, keeping the company at the forefront of the industry. Participate in code reviews and provide constructive feedback to ensure high-quality deliverables and adherence to best practices. Stay updated with the latest trends in machine learning and related fields to continuously improve the team's capabilities. In this role, you will embody an ownership culture, where your contributions will significantly impact the direction and success of EarnIn 's innovative solutions. Required Skills & Technical Competencies The ideal candidate for the Senior Machine Learning Engineer position at EarnIn will possess a robust skill profile that combines technical expertise with analytical prowess. This blend is essential for developing cutting-edge solutions in the financial technology space. Technical Skills Python (Expert) — essential for developing and deploying complex machine learning models efficiently. Data Engineering — crucial for managing and processing large datasets, ensuring data integrity and accessibility. NLP (Natural Language Processing) — advanced knowledge required to build models that understand and interpret human language. Computer Vision — expertise needed to develop algorithms that analyze visual data, enhancing user interactions. TensorFlow — familiarity with this framework is expected for building scalable machine learning applications. PyTorch — experience with this tool is advantageous for developing dynamic neural networks. Soft Skills & Professional Competencies Analytical thinking — ability to dissect complex problems and derive actionable solutions. Effective communication skills — essential for collaborating with diverse teams and presenting findings clearly. Time management — ability to prioritize tasks effectively in a fast-paced environment. Mentorship — willingness to guide and support junior engineers in their professional growth. Good to Have (Bonus) Git — proficiency in version control to manage code and collaborate with team members. AWS — experience with cloud services for deploying machine learning models. Docker — familiarity with containerization for developing and deploying applications. To showcase these skills effectively in your resume or interview for the Senior Machine Learning Engineer role at EarnIn , highlight relevant projects, particularly those demonstrating your expertise in Python , NLP , and Computer Vision . Include metrics that showcase your impact in previous roles. Eligibility Criteria This role is designed for candidates who are eager to apply their academic knowledge in a practical setting, particularly those who are passionate about machine learning and its applications in finance. Candidates must hold an MS or PhD in Computer Science or a related technical field. Eligible batches include 2023, 2024, 2025, and 2026 graduates, targeting both freshers and experienced professionals. A minimum CGPA of 7.5 is preferred to ensure a solid academic foundation. Prior internship or hands-on project experience in machine learning is a strong advantage. Strong understanding of machine learning algorithms and their applications is essential. Ability to demonstrate relevant projects on GitHub or personal portfolios is highly encouraged. Documentation & Portfolio Requirements Prepare a resume that highlights your educational background, relevant projects, and any certifications related to machine learning . A well-organized GitHub portfolio showcasing your work will significantly enhance your application. Pro Tip: Tailor your application by emphasizing specific projects that align with EarnIn's mission and values, and be prepared to discuss your contributions in detail during the interview. Salary & Benefits 💰 Compensation Not Disclosed The compensation philosophy at EarnIn emphasizes providing a competitive salary that aligns with industry standards for technology roles, particularly for the position of Senior Machine Learning Engineer . While specific salary details are not disclosed, EarnIn is committed to ensuring that employees feel valued and rewarded for their contributions. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Learning & Development Programs — access to training and certifications to enhance your skills Flexible Work Hours — options for remote work to promote a healthy work-life balance Performance Bonuses — annual bonuses based on individual and company performance Meal Allowances — daily meal stipends to support your well-being Additional Perks & Benefits Transportation Benefits — support for commuting costs to and from work Mentorship Opportunities — guidance from industry experts to foster your career growth Team Retreats — annual outings to build camaraderie and strengthen team bonds Wellness Programs — initiatives aimed at promoting physical and mental health Employee Recognition Programs — initiatives to celebrate outstanding contributions Career Progression & Salary Growth At EarnIn , career progression is supported through regular performance reviews, typically conducted bi-annually. Employees can expect raises of around 10-15% based on performance metrics. The company fosters an internal promotion policy , allowing for rapid career advancement within 2-3 years for high performers. NexisGrow.com tip: When negotiating your salary, emphasize your unique contributions and the value you bring to the role of Senior Machine Learning Engineer at EarnIn . Selection Process The hiring philosophy at EarnIn focuses on identifying candidates who not only possess the necessary technical skills for the Senior Machine Learning Engineer role but also align with the company’s culture and values. This ensures a harmonious work environment and effective collaboration. 1 Round 1: Initial Screening Interview — a discussion focusing on your resume details and basic technical knowledge. 2 Round 2: Technical Interview — an assessment of your problem-solving skills and proficiency in machine learning concepts . 3 Round 3: Final Interview — a conversation with team leads to evaluate cultural fit and discuss potential projects. 4 Final Offer Stage — includes a background check and a discussion of employment terms. What Each Round Tests In Round 1 , expect questions about your previous experiences and foundational knowledge in machine learning . Round 2 will delve deeper into your technical abilities, focusing on real-world problem-solving scenarios. Round 3 will assess your fit within the team and your alignment with EarnIn 's values. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to the final offer. Candidates can expect timely communication from EarnIn throughout the process, including updates after each round. Interview Prep Tip: Familiarize yourself with EarnIn 's projects and culture to effectively demonstrate your fit during interviews. How to Apply for Senior Machine Learning Engineer at EarnIn Apply Now — EarnIn Create Your Profile — visit the application link and set up your profile. Resume Submission — upload your resume, ensuring it highlights relevant machine learning projects and experiences. Application Form — fill in the application form with accurate details and relevant skills. Track Your Application — monitor your application status through the provided portal. Confirmation Email — expect a confirmation email outlining the next steps in the process. Resume & Profile Tips for This Role Highlight Relevant Projects — showcase your hands-on experience in machine learning . Emphasize Technical Skills — include proficiency in Python , TensorFlow , and other relevant technologies. Showcase Problem-Solving Abilities — provide examples of challenges you've overcome in past roles. Demonstrate Passion — convey your enthusiasm for machine learning and continuous learning. Applications are accepted on a rolling basis, so early submission is encouraged for better 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 Senior Machine Learning Engineer role at EarnIn? Eligibility Tap to expand + Answer Candidates must have an MS or PhD in a relevant field, with eligibility for batches 2023-2026. Both freshers and those with 4+ years of experience are welcome. ? What is the interview process for Senior Machine Learning Engineer at EarnIn? Interview Tap to expand + Answer The process includes an initial screening, a technical interview focusing on machine learning, and a final interview assessing cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with Python, TensorFlow, and data engineering tools, focusing on NLP and Computer Vision applications. ? What is the salary and compensation for this role? Salary Tap to expand + Answer While salary details are not disclosed, EarnIn offers competitive compensation with opportunities for performance bonuses. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer The role is based in Bengaluru, with potential for hybrid work arrangements depending on project needs. ? What is the career growth path after joining EarnIn as a Senior Machine Learning Engineer? Growth Tap to expand + Answer Expect a clear growth roadmap with opportunities for promotions and internal mobility within 6-12 months. ? How should I prepare for the Senior Machine Learning Engineer interview at EarnIn? Preparation Tap to expand + Answer Focus on your machine learning projects, brush up on Python and relevant algorithms, and prepare to discuss your problem-solving approach. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official link, including your resume and any relevant project portfolios that showcase your skills. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Typically, there is a 3-month probation period focusing on performance evaluation and integration into the team. ? What is the work culture like at EarnIn? Culture Tap to expand + Answer EarnIn promotes a collaborative and inclusive culture, emphasizing continuous learning and team collaboration. 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