N #1977
Applications open
Full-Time Job
Java Developer with AI:(5yrs):Bangalore
Sigma Allied Services
About the role
Job Description: Java Developer with AI Job Title: Java Developer with AI Experience: 58 Years Location: Bellandur, Bangalore Notice Period: Immediate Joiners to 15 Days Job Summary We are looking for an experienced Java Developer with a strong background in Java development and exposure to Artificial Intelligence (AI) technologies. The ideal candidate should have hands-on experience developing scalable applications using Java, Spring Boot, and microservices, along with an understanding of AI/ML integration into enterprise applications. Key Responsibilities Design, develop, test, and maintain scalable enterprise applications using Java and Spring Boot. Develop and maintain RESTful APIs and microservices. Integrate AI/ML capabilities into Java-based applications. Work with AI-powered services, intelligent automation, and AI-driven application features. Collaborate with data scientists, AI engineers, and cross-functional teams to implement AI solutions. Optimize application performance, scalability, security, and reliability. Write clean, reusable, and maintainable code following industry best practices. Participate in code reviews, debugging, testing, and production support. Work with databases and cloud-based services as required. Mandatory Skills Strong hands-on experience in Core Java and Java 8 or above. Experience with Spring Boot, Spring Framework, and Microservices. Strong knowledge of REST APIs and web services. Experience with SQL and relational databases. Understanding of object-oriented programming, data structures, and design patterns. Experience integrating AI/ML services or AI-powered APIs into applications. Knowledge of Git, Maven/Gradle, and unit testing frameworks. Good-to-Have Skills Exposure to Generative AI, Large Language Models (LLMs), or AI-assisted application development. Experience with Python or AI/ML frameworks. Knowledge of vector databases, Retrieval-Augmented Generation (RAG), or prompt engineering. Experience with AWS, Azure, or other cloud platforms. Familiarity with Docker, Kubernetes, and CI/CD pipelines. Candidate Requirements Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work in a fast-paced development environment. Candidates must be available to join within 0โ15 days. Work Location: Bellandur, Bangalore Experience Required: 5โ8 Years Notice Period: 0โ15 Days
Eligibility & process
Who can apply
Experience: 5-10 Yrs. Open to matching qualifications.
Skills & stack
Selection process
- Online Assessment / Technical Interview Rounds / HR Review
Prep kit
19 resourcesStudy material 4
Aptitude Practice Questions & Mock Tests
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
Company-Specific Interview Preparation Corner
Detailed interview experiences, exam formats, and previous test questions for Sigma Allied Services and tech roles.
Technical Placement Cheat Sheets & Question Bank
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
Algorithm, DSA & Live Code Debugger Practice
Hands-on problem sets to improve coding speed and step-by-step memory debugging.
Company-specific guides 4
APTITUDE & LOGIC
Aptitude Practice Questions & Online Mock Tests
Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.
COMPANY GUIDE
Sigma Allied Services Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Sigma Allied Services and off-campus tech roles.
MOCK TESTS & PAPERS
Comprehensive Interview Prep Resources & Syllabus
Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.
CODING PRACTICE
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Boot, Artificial Intelligence, Java Development, Spring Boot, Microservices, Java, Aiml, Development) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Sigma Allied Services Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 4
What is the bias-variance tradeoff and how do you prevent overfitting? Answer
Model answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer
Model answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer
Model answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer
Model answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Behavioural & HR questions 3
Why do you want to join Sigma Allied Services as a Java Developer with AI:(5yrs):Bangalore?
Highlight Sigma Allied Services's market reputation, recent tech innovations, and how your skills in Boot directly solve their team's objectives.
Highlight Sigma Allied Services's market reputation, recent tech innovations, and how your skills in Boot directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Competitive Package (Best in Industry)
Full-Time Job
Bengaluru, India
Nov 05, 2026
