📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Fi 👥 Experience 1-2 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹18–28 LPA* 🏢 Industry Technology 🛠 Key Skills Python SQL Machine Learning LLMs APIs Applied Statistics DS / ML Engineer at Fi — Full Details & How to Apply Fi is seeking a DS / ML Engineer in Bengaluru, Karnataka, India to innovate in AI solutions. With a salary range of ₹18–28 LPA* , this role offers a unique chance to impact technology. The demand for DS / ML Engineer jobs is surging in India, driven by advancements in AI technologies. As companies increasingly rely on data-driven insights, this role is crucial for developing AI models that enhance user experience and operational efficiency, making it a pivotal position in the tech landscape. Fi , founded in 2020 , has rapidly grown to a team of over 200 employees, focusing on innovative financial technology solutions. This growth reflects the company's commitment to pushing boundaries in the fintech sector, making Fi recruitment an attractive option for aspiring engineers. We encourage 2022, 2023, 2024, 2025 graduates with Any Graduate qualification and 1-2 years experience to apply. This role not only offers a competitive salary of ₹18–28 LPA* but also provides a platform for fresh talent to thrive in the tech industry. As a DS / ML Engineer , you will work with essential skills such as Python , SQL , Machine Learning , LLMs , APIs , and Applied Statistics . This role opens doors to advanced career opportunities, allowing you to transition into senior positions as you gain experience and expertise in cutting-edge technologies. 📊 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 DS / ML Engineer at Fi is to enhance product features and user engagement through the development and deployment of robust machine learning models. Build and deploy machine learning models using Python to improve product features and user engagement. Monitor and optimize ML systems, ensuring high performance and reliability in real-time applications through effective use of APIs . Collaborate with product and engineering teams to integrate APIs for seamless data flow and enhanced functionality. Analyze performance metrics to identify areas for improvement in existing machine learning models, utilizing statistical methods. Take ownership of projects from conception to deployment, ensuring timely delivery and quality through effective project management. Document processes and results to facilitate knowledge sharing within the team, enhancing overall team efficiency. Engage with clients to understand their needs and provide data-driven solutions using applied statistics . This role fosters an ownership culture, allowing you to directly impact product development and client satisfaction through your contributions. Required Skills & Technical Competencies The ideal candidate for the DS / ML Engineer position will possess a strong skill profile in data science and machine learning, with a focus on practical application. Technical Skills Python — intermediate — essential for developing ML algorithms and data manipulation using libraries like Pandas and NumPy. SQL — intermediate — used for querying databases to extract and analyze data, critical for data-driven decision-making. Machine Learning — intermediate — understanding of algorithms and frameworks like TensorFlow or PyTorch is necessary for model development. APIs — intermediate — experience in integrating APIs for data exchange between systems is vital for this role. Applied Statistics — intermediate — strong statistical knowledge is crucial for interpreting data and validating model performance. Soft Skills & Professional Competencies Analytical Thinking — ability to analyze complex data sets and derive actionable insights. Problem-Solving — adept at identifying issues and implementing effective solutions in ML systems. Communication Skills — proficient in conveying technical information to non-technical stakeholders. Project Management — capable of managing timelines and deliverables effectively throughout the project lifecycle. Good to Have (Bonus Skills) Experience with cloud platforms like AWS or Azure can enhance deployment capabilities for ML models. Knowledge of data visualization tools such as Tableau or Power BI can aid in presenting insights effectively. Familiarity with version control systems like Git can streamline collaboration and project management. When showcasing these skills in your resume or interview, emphasize specific projects and outcomes that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for graduates with a foundational knowledge in data science or machine learning, particularly those from relevant academic backgrounds. Any graduate is eligible, with a focus on those with a background in computer science, engineering, or related fields. Batches from 2022 to 2025 are encouraged to apply, aligning with the company's focus on fresh talent. Candidates with 1-2 years of experience in data science or machine learning are preferred, but freshers with relevant skills can also apply. A minimum academic performance of 60% is expected to ensure a strong foundational knowledge. Having a portfolio or GitHub showcasing relevant projects can significantly enhance your application. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant skills and experiences. Include links to your portfolio or GitHub to showcase your projects. Pro tip: Tailor your application to highlight specific projects that align with the responsibilities of the DS / ML Engineer role at Fi . Salary for DS / ML Engineer at Fi 💰 Compensation ₹18–28 LPA* The advertised compensation for the DS / ML Engineer role at Fi is ₹18–28 LPA* . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Fi The selection process for the DS / ML Engineer role at Fi is designed to assess both technical skills and cultural fit. 1 Online Assessment — 60 minutes, testing coding skills and basic ML concepts 2 Technical Interview — focuses on Python, SQL, and machine learning algorithms 3 Behavioral Interview — assesses cultural fit and problem-solving abilities through situational questions 4 HR Interview — discusses offer details and company culture, typically within a week of the last interview Topic-wise Preparation Guide Round 1: Online Assessment Data Structures — understanding of lists, dictionaries, and arrays is crucial for coding tasks — LeetCode Machine Learning Basics — foundational concepts like supervised vs. unsupervised learning — Khan Academy SQL Queries — proficiency in writing complex queries to manipulate and retrieve data — W3Schools Python Syntax — familiarity with Python syntax and libraries used in data science — Udemy Round 2: Technical Interview Machine Learning Algorithms — in-depth knowledge of algorithms like regression, classification, and clustering — Coursera Data Manipulation — practical skills in using Pandas for data analysis — GeeksForGeeks APIs — understanding how to integrate and utilize APIs in projects — freeCodeCamp Statistical Analysis — ability to perform hypothesis testing and interpret results — YouTube Model Evaluation — knowledge of metrics like accuracy, precision, and recall — Khan Academy Round 3: Behavioral Interview Behavioral Questions — prepare to discuss past experiences using the STAR method — MindTools Team Collaboration — examples of successful teamwork and conflict resolution — GeeksForGeeks Technical Deep-Dive — be ready to explain a project or model you have worked on in detail — Coursera Timeline & Expectations The application to offer timeline typically spans 2-3 weeks , depending on the number of candidates and interview schedules. Prepare thoroughly for each round, as the company values both technical proficiency and cultural alignment. Expected Interview Questions for DS / ML Engineer at Fi These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain the difference between supervised and unsupervised learning. How do you handle missing data in a dataset? What is overfitting, and how can it be prevented? Describe a machine learning project you have worked on. What libraries in Python are you most comfortable with for data analysis? How would you optimize a machine learning model? Behavioral Questions Describe a challenging project and how you overcame obstacles. How do you prioritize tasks when working on multiple projects? Give an example of a time you worked in a team to achieve a goal. How do you handle feedback and criticism? Role-Specific Questions What techniques would you use to monitor the performance of an ML model? How do you approach the deployment of machine learning models? What are the key considerations when developing LLM-powered solutions? Structure your answers using the STAR method to clearly convey your thought process and experiences. Resume Tailoring & ATS Keywords for DS / ML Engineer Optimizing your resume for ATS is crucial for standing out in the application process. ATS Keywords to Include Data Science Machine Learning Python SQL APIs Applied Statistics LLMs Model Deployment Data Analysis Collaboration Problem Solving Performance Optimization Resume Tips for This Role Highlight relevant projects that demonstrate your skills in machine learning and data analysis. Emphasize your proficiency in Python and SQL , as these are critical for the role. Include links to your GitHub or portfolio showcasing your work in data science. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not pertain to data science. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or experiences that do not directly relate to data science. About Fi Fi was founded in 2020 and is headquartered in Bengaluru, Karnataka . With a mission to revolutionize financial services, Fi has rapidly grown to serve thousands of customers across India, leveraging technology to enhance user experiences in the financial sector. The company offers innovative products such as digital banking solutions and AI-driven financial insights . These products are designed to simplify financial management, making it easier for users to track expenses and save money effectively. Fi has cultivated a collaborative culture, earning a 4.5-star rating on Glassdoor . Employee growth is prioritized through various programs, including mentorship and skill development initiatives, ensuring that team members can thrive in their careers. Recently, Fi secured ₹100 crore in funding to expand its product offerings and enhance technological capabilities. This investment reflects the company's commitment to innovation and its ambition to lead in the fintech space. For freshers in technology, Fi serves as a strong career launchpad, providing opportunities to work with cutting-edge technologies and develop skills that are highly sought after in the industry, thereby fostering long-term career growth. Why Join Fi as DS / ML Engineer? Joining Fi as a DS / ML Engineer offers a unique chance to engage with advanced technologies and contribute to meaningful projects in the fintech sector. Hands-on Experience — Work extensively with Python and SQL , essential for building and deploying machine learning models that drive financial insights. Exposure to LLMs — Gain valuable experience in natural language processing , a critical area in AI development that enhances your technical skill set. Career Advancement — After 1-2 years, transition into roles like Senior Data Scientist or Machine Learning Architect , with clear pathways for professional growth. Culture of Innovation — Collaborate on projects that matter, as Fi encourages team members to share ideas and innovate continuously. Vibrant Lifestyle — Enjoy living in Bengaluru , a tech-savvy city that offers a rich lifestyle and numerous networking opportunities. According to NexisGrow.com, starting your career as a DS / ML Engineer at Fi positions you at the forefront of fintech innovation, equipping you with skills that are in high demand across various industries. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for DS / ML Engineer at Fi? Eligibility Tap to expand + Answer Candidates with Any Graduate and 1-2 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: Python, SQL, Machine Learning, LLMs, APIs. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹18–28 LPA*. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Fi? 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: Python, SQL, Machine Learning, LLMs, APIs. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the DS / ML Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Python, SQL, Machine Learning, LLMs, APIs, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Fi research, (5) Clear communication. ? What is the work culture like at Fi? 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 Fi 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