N #2607
Applications open
Full-Time Job
Machine Learning Engineer
Anlage Infotech
About the role
Years of
Experience
6.0-15.0 Years Job Title: Machine Learning /AIML Engineer (Python Coding with ML Experience)
Location
Bangalore Notice period: Immediate to 30days only
Job Summary
We are seeking a highly skilled and versatile Machine Learning Engineer who embodies the rare combination of a strong software engineer and ML exposure with experience in designing, developing, and maintaining robust, scalable, and efficient software applications using Python , with a strong emphasis on Object-Oriented Programming principles to manage hyperparameters, encapsulate evaluation metrics, and create controlled interfaces for model wrappers. You will be instrumental in designing, developing, deploying, and maintaining our core AI-powered products and features. This demands a blend of analytical rigor, coding prowess, architectural foresight, and a deep understanding of the entire machine learning lifecycle, from data exploration and model development to deployment, monitoring, and continuous improvement.
Required Qualifications
Education
Masters degree in computer science, Machine Learning, Data Science, Electrical Engineering, or a related quantitative field.
Experience
5+ years of professional experience in Machine Learning Engineering, Software Engineering with a strong ML focus, or a similar role. Must have
Programming Skills
- Expert-level proficiency in Python, including experience with writing production-grade, clean, efficient, and well-documented code.
- Experience with other languages (e.g., Java, Go, C++) is a plus.
- Strong Software Engineering Fundamentals: Deep understanding of software design patterns, data structures, algorithms, object-oriented programming, and distributed systems.
- Good to have Machine Learning Expertise: Solid theoretical and practical understanding of various machine learning algorithms Proficiency with ML frameworks such as PyTorch, Scikit-learn.
- Experience with feature engineering, model evaluation metrics, and hyperparameter tuning Data Handling: Experience with SQL and NoSQL databases, data warehousing concepts, and processing large datasets.
- Problem-Solving: Excellent analytical and problem-solving skills, with a pragmatic approach to delivering solutions.
- Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
Preferred Qualifications
- Experience with big data technologies (e.g., Spark, Hadoop, Kafka).
- Contributions to open-source projects or a strong portfolio of personal projects.
Eligibility & process
Who can apply
Experience: 6-11 Yrs. Open to matching qualifications.
Skills & stack
Selection process
- Online Assessment / Technical Interview Rounds / HR Review
Prep kit
20 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 Anlage Infotech and tech roles.
Technical Placement 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
Anlage Infotech Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Anlage Infotech 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 (Data Structures & Algorithms, Machine Learning, Algorithms, Aiml, Python, Algorithm Development, SQL, Ml Algorithms) & 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
Anlage Infotech Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join Anlage Infotech as a Machine Learning Engineer?
Highlight Anlage Infotech's market reputation, recent tech innovations, and how your skills in Data Structures & Algorithms directly solve their team's objectives.
Highlight Anlage Infotech's market reputation, recent tech innovations, and how your skills in Data Structures & Algorithms 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)
Bengaluru, India
Experience: 6-11 Yrs. Open to matching qu…
