Associate AI/ML Software Engineer at Kaleris

Kaleris · Chennai, India

📋 Job Details at a Glance 📍 Location Chennai, India 🏢 Company Kaleris 👥 Experience 0-2 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹4.9 LPA 🏢 Industry Technology 🛠 Key Skills Communication Skills Problem Solving Basic Computer Knowledge Associate AI/ML Software Engineer at Kaleris — Full Details & How to Apply Kaleris is seeking a passionate Associate AI/ML Software Engineer to join their innovative team in Chennai, India . This is your chance to kickstart a rewarding career in technology with a leading company. As industries increasingly rely on artificial intelligence and machine learning, the demand for skilled professionals in this field is skyrocketing, making this role not just relevant but essential for driving innovation. The role of Associate AI/ML Software Engineer is pivotal as AI and machine learning continue to transform industries, creating opportunities that were unimaginable just a few years ago. With the global AI market projected to reach $190 billion by 2025, professionals equipped with AI/ML skills are becoming indispensable. This position at Kaleris offers a unique vantage point to contribute to cutting-edge solutions that enhance operational efficiency and customer satisfaction, making it a career-defining opportunity. Kaleris stands out as a tech leader in Chennai , fostering a culture of creativity and collaboration. The company is committed to nurturing talent through robust training programs and mentorship, ensuring that every Associate AI/ML Software Engineer has the tools and support needed to excel. This environment not only encourages innovation but also promotes a sense of belonging, making it an ideal workplace for budding engineers eager to make their mark in the tech industry. This role is ideal for both freshers and candidates with up to 2 years of experience . If you hold a B.Tech, B.E., MCA, or M.Tech degree and belong to the 2023, 2024, 2025, or 2026 batches, you are encouraged to apply. Candidates with a strong foundation in problem-solving and communication skills will find this position particularly rewarding as they engage in impactful projects from day one. As an Associate AI/ML Software Engineer , you will gain invaluable experience in cloud architecture , production-grade Java development , and Agile workflows . You will work with advanced technologies and methodologies, allowing you to build a robust skill set that is highly sought after in today’s job market. This role not only offers a competitive salary of ₹4.9 LPA but also opens doors to rapid career advancement within a fast-growing company. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring that you have the most accurate and up-to-date information to apply online for this position at Kaleris . Job Role & Responsibilities The role of an Associate AI/ML Software Engineer at Kaleris is pivotal in driving innovation through advanced machine learning solutions. As part of a team, you will contribute to the development of AI models that enhance Kaleris's product offerings, ensuring they meet real-world challenges. Develop AI/ML models — leverage machine learning algorithms to create solutions that address specific challenges faced by Kaleris . Utilize Python and R — apply these programming languages to analyze data and implement effective machine learning techniques. Collaborate with cross-functional teams — work alongside data scientists and software engineers to ensure seamless integration of AI solutions. Analyze performance metrics — assess the effectiveness of AI models and iterate based on data-driven insights to optimize results. Engage in continuous learning — take ownership of your professional development by participating in training sessions and workshops. Document processes and findings — maintain clear and comprehensive records of your work to facilitate knowledge sharing within the team. Innovate and troubleshoot — apply problem-solving skills to identify challenges in AI implementations and propose innovative solutions. Participate in code reviews — contribute to the improvement of code quality and share best practices with peers. At Kaleris , we foster an ownership culture where every team member's contributions significantly impact our success. Your role as an Associate AI/ML Software Engineer will not only enhance your skills but also drive the future of our innovative solutions. Required Skills & Technical Competencies We are seeking a candidate with a diverse skill profile to excel as an Associate AI/ML Software Engineer at Kaleris . The ideal candidate will possess a blend of technical and soft skills that will enable them to effectively contribute to our projects. Technical Skills Python (Intermediate) — essential for developing machine learning models and data analysis. R (Basic) — used for statistical analysis and data visualization in AI projects. Pandas (Familiarity) — knowledge of this library is advantageous for data manipulation and analysis. NumPy (Familiarity) — understanding of this library helps in performing numerical computations efficiently. Machine Learning Algorithms (Basic) — familiarity with algorithms such as regression, classification, and clustering. Data Visualization Tools (Basic) — experience with tools like Matplotlib or Seaborn for presenting data insights. Soft Skills & Professional Competencies Strong communication skills — essential for articulating complex AI concepts to non-technical stakeholders. Basic problem-solving — critical for addressing challenges in AI model development and implementation. Teamwork — ability to collaborate effectively with diverse teams in a dynamic environment. Adaptability — willingness to learn and adjust to new technologies and methodologies. Good to Have (Bonus) Git — familiarity with version control systems for managing code. JIRA — experience with project management tools for tracking tasks and progress. AWS — understanding of cloud services for deploying AI solutions. To effectively showcase these skills in your resume or interview, highlight relevant projects and experiences that demonstrate your proficiency in AI/ML technologies. Providing examples of your problem-solving abilities and teamwork will strengthen your application for this specific role. Eligibility Criteria This role is designed for both freshers and candidates with up to 2 years of experience who are eager to innovate in the tech space. We welcome applications from diverse educational backgrounds. Candidates must hold a B.Tech, B.E., MCA, or M.Tech degree. Eligible batches: 2023, 2024, 2025, and 2026 passouts. Minimum 60% aggregate or above in academics preferred. Prior internship or hands-on project experience is a strong advantage. Familiarity with AI/ML concepts through coursework or projects is desirable. Strong interest in continuous learning and professional development. Documentation & Portfolio Requirements Prepare a concise resume that highlights your academic achievements, relevant projects, and any internships. Include a link to your GitHub or portfolio showcasing your skills and passion for AI/ML . Certifications in relevant technologies can further enhance your application. Pro Tip: Tailor your resume to emphasize your problem-solving skills and any projects that demonstrate your ability to work with AI/ML technologies to improve your application success rate. Salary & Benefits 💰 Compensation ₹4.9 LPA The compensation philosophy at Kaleris emphasizes providing a competitive salary and comprehensive benefits to attract and retain top talent in the AI/ML domain. For the role of Associate AI/ML Software Engineer , the salary is set at ₹4.9 LPA , which is competitive for entry-level positions in Chennai, India . What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Continuous Learning Opportunities — access to training programs and mentorship to enhance your skill set Flexible Working Hours — to promote a healthy work-life balance Performance-Based Bonuses — additional compensation based on individual and company performance Meal Allowances — to support daily sustenance during work hours Transportation Support — assistance for commuting to and from work Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Hybrid Work Options — flexibility to work from home or office Regular Performance Reviews — to discuss career growth and development opportunities Employee Wellness Programs — initiatives aimed at promoting mental and physical health Team-Building Activities — fostering a collaborative and engaging work environment Career Progression & Salary Growth At Kaleris , career progression is supported through regular performance reviews, with typical raise percentages ranging from 10% to 15% annually. Employees can expect clear promotion paths and opportunities for internal mobility, allowing for rapid career advancement within the organization. NexisGrow.com tip: When discussing salary during the interview, emphasize your skills and how they align with the company's goals to negotiate effectively. Selection Process The hiring philosophy at Kaleris focuses on identifying candidates who not only possess the necessary technical skills but also fit well within the company culture. The selection process for the Associate AI/ML Software Engineer role is designed to evaluate both technical expertise and interpersonal skills. 1 Round 1: Initial Screening — review of applications focusing on qualifications and relevant skills. 2 Round 2: Technical Interview — assessing problem-solving abilities and knowledge of AI/ML concepts. 3 Round 3: HR Interview — evaluating cultural fit and communication skills within the team. 4 Final Stage: Offer Letter Issuance — includes a background check process to ensure candidate suitability. What Each Round Tests Round 1 focuses on verifying educational qualifications and relevant experience. Round 2 dives into technical skills, including Python and machine learning algorithms . Round 3 assesses soft skills and cultural fit. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication regarding their application status at each stage of the process. Interview Prep Tip: Familiarize yourself with common AI/ML interview questions and practice coding challenges to excel in the technical interview. How to Apply for Associate AI/ML Software Engineer at Kaleris Apply Now — Kaleris Create Your Profile — visit the application portal and set up your profile. Resume Submission — highlight relevant projects, internships, and skills that align with the job description. Fill in the Application Form — ensure all information is accurate and complete. Track Your Application — monitor your application status through the portal. Prepare for Interviews — review potential interview questions and practice coding challenges. Resume & Profile Tips for This Role Highlight AI/ML Projects — showcase any relevant projects or internships in your resume. Emphasize Technical Skills — include proficiency in Python , TensorFlow , and data analysis . Showcase Problem-Solving Abilities — provide examples of how you've tackled challenges in previous roles. Include Soft Skills — mention communication skills and teamwork experiences. While the application deadline is ongoing, early applications are encouraged to enhance your chances of selection. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the specific eligibility requirements for the Associate AI/ML Software Engineer role at Kaleris? Eligibility Tap to expand + Answer Candidates must hold any graduate degree, preferably in computer science or related fields. Eligible batches include 2023 to 2026, targeting fresh talent. ? What is the interview process for the Associate AI/ML Software Engineer position at Kaleris? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview focusing on AI/ML skills, and an HR interview to assess cultural fit. ? What technologies and tools will I work with as an Associate AI/ML Software Engineer? Tech Stack Tap to expand + Answer You will primarily work with Python, R, and data analysis libraries such as Pandas and NumPy to develop AI/ML models. ? What is the salary and compensation for the Associate AI/ML Software Engineer role? Salary Tap to expand + Answer The salary is ₹4.9 LPA, with opportunities for performance-based bonuses and growth in compensation over time. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer The role is primarily onsite in Chennai, with potential for hybrid work arrangements depending on project needs. ? What is the career growth path after joining Kaleris as an Associate AI/ML Software Engineer? Growth Tap to expand + Answer Within 6-12 months, you can expect to take on more complex projects, with opportunities for promotion to mid-level roles within 2-3 years. ? How should I prepare for the Associate AI/ML Software Engineer interview at Kaleris? Preparation Tap to expand + Answer Focus on brushing up on AI/ML concepts, practicing coding problems, and preparing to discuss your relevant projects and experiences. ? How do I apply and what documents are needed for this role? Application Tap to expand + Answer Apply through the provided link, ensuring your resume highlights relevant skills and projects. Include any certifications or portfolios that showcase your expertise. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is typically a 3-6 month probation period where your performance will be evaluated to ensure a good fit for the role. ? What is the work culture like at Kaleris? Culture Tap to expand + Answer Kaleris promotes a collaborative and inclusive work culture, emphasizing continuous learning and team collaboration to drive innovation. 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