Artificial Intelligence and Machine Learning are among the fastest-growing technology domains, and companies worldwide are actively hiring talented engineers to build next-generation AI-powered applications. If you’re a 2025 or 2026 graduate looking to start your career in AI, this opportunity from StatusNeo is worth considering.
StatusNeo is hiring Junior AI/ML Engineers for its remote team across India. This role is ideal for fresh graduates and candidates with up to one year of experience who have a strong foundation in Python, Machine Learning, Data Science, and AI concepts. You’ll work on real-world AI projects, collaborate with global technology teams, and gain exposure to modern AI frameworks, cloud technologies, and MLOps practices.
Whether your goal is to become an AI Engineer, Machine Learning Engineer, Data Scientist, or Generative AI Developer, this position offers an excellent starting point for your career.
📌 Job Overview
🏢 Company: StatusNeo
💼 Position: Junior AI/ML Engineer
📍 Location: India (Remote)
🏢 Work Mode: Remote
👨💻 Experience: 0–1 Year (Freshers Eligible)
🎓 Eligible Batch: 2025 & 2026 Graduates
💰 Expected Salary: ₹10–14 LPA
⚡ Preferred Candidates: Candidates with strong AI/ML fundamentals, Python programming, and a passion for learning emerging technologies.
🏢 About StatusNeo
StatusNeo is a global digital engineering and technology consulting company that helps organizations accelerate digital transformation through modern software engineering, cloud computing, artificial intelligence, machine learning, data engineering, DevOps, and enterprise application development.
The company partners with startups, Fortune 500 organizations, and global enterprises to deliver innovative technology solutions. With teams distributed across multiple countries, StatusNeo promotes a remote-first work culture that emphasizes flexibility, continuous learning, and technical excellence.
Employees get the opportunity to work on cutting-edge AI, cloud, and software engineering projects while collaborating with experienced professionals from around the world.
🌟 Why This Role is Good for Freshers
Starting your career directly in Artificial Intelligence can significantly accelerate your professional growth. Instead of beginning with generic software development tasks, you’ll gain hands-on experience with AI technologies that are shaping the future of the industry.
Some key advantages include:
✨ Opportunity to work remotely from anywhere in India.
✨ Competitive fresher salary package of ₹10–14 LPA.
✨ Exposure to real-world AI and Machine Learning projects.
✨ Learn industry-standard AI frameworks like TensorFlow and PyTorch.
✨ Gain experience with cloud technologies and MLOps concepts.
✨ Work alongside experienced AI engineers and global technology teams.
✨ Build expertise in Python, Machine Learning, Data Science, and AI model deployment.
✨ Excellent career growth into AI Engineer, ML Engineer, Data Scientist, or GenAI Developer roles.
💼 Roles & Responsibilities
As a Junior AI/ML Engineer, you may be responsible for:
- Building and supporting Machine Learning models.
- Preparing and preprocessing datasets for model training.
- Performing exploratory data analysis (EDA).
- Developing AI solutions using Python.
- Assisting in feature engineering and data transformation.
- Training, validating, and testing Machine Learning models.
- Collaborating with senior AI engineers on production AI systems.
- Supporting AI model deployment workflows.
- Working with cloud platforms and APIs where required.
- Continuously learning new AI technologies and best practices.
💰 Salary Range
StatusNeo has indicated an expected compensation of:
💵 Expected CTC
- ₹10 LPA – ₹14 LPA
The final package may vary depending on technical skills, academic performance, interview performance, internship experience, and project exposure.
Additional benefits may include:
- Remote work flexibility
- Learning & development programs
- Career growth opportunities
- Exposure to international projects
- Employee benefits as per company policy
📝 Expected Interview Rounds
Candidates can generally expect the following hiring process:
Round 1 – Resume Screening
Recruiters will evaluate:
- Academic performance
- AI/ML projects
- Python skills
- Certifications
- Internship experience
Round 2 – Online Technical Assessment
Topics may include:
- Python Programming
- Machine Learning Basics
- Aptitude
- SQL
- Logical Reasoning
Round 3 – Technical Interview
Interview topics may include:
- Machine Learning Algorithms
- Regression & Classification
- Model Evaluation Metrics
- NumPy & Pandas
- TensorFlow / PyTorch
- Data Preprocessing
- Feature Engineering
- SQL Queries
- Python Coding
- AI Project Discussion
Round 4 – HR Discussion
Topics include:
- Career goals
- Communication skills
- Remote work readiness
- Salary expectations
- Joining availability
🛠 Skills Required
Programming Skills
- Python
- SQL
AI & Machine Learning
- Machine Learning Fundamentals
- Model Training
- Model Validation
- Model Evaluation
- Feature Engineering
- Data Preprocessing
- Exploratory Data Analysis
Libraries & Frameworks
- NumPy
- Pandas
- Scikit-learn
- TensorFlow
- PyTorch
Additional Skills
- REST APIs
- Cloud Computing Basics
- MLOps Fundamentals
- Database Concepts
Soft Skills
- Communication
- Problem Solving
- Analytical Thinking
- Self-learning
- Team Collaboration
- Time Management
📚 Preparation Tips
To improve your chances of getting selected:
- Revise Python thoroughly.
- Practice Machine Learning algorithms.
- Build small ML projects using Scikit-learn.
- Learn TensorFlow or PyTorch basics.
- Practice SQL queries regularly.
- Understand model evaluation metrics such as Accuracy, Precision, Recall, F1-score, and ROC-AUC.
- Learn feature engineering techniques.
- Study cloud fundamentals (AWS, Azure, or GCP).
- Revise data preprocessing concepts.
- Prepare explanations for your academic and personal AI projects.
📄 Resume Tips
Your resume should clearly highlight AI and Machine Learning skills.
Include:
- Professional Summary
- Technical Skills
- Python Projects
- Machine Learning Projects
- GitHub Profile
- Kaggle Profile (if available)
- Certifications
- Internship Experience
- Academic Achievements
Use ATS-friendly keywords such as:
- Artificial Intelligence
- Machine Learning
- Python
- TensorFlow
- PyTorch
- NumPy
- Pandas
- SQL
- Data Science
- Feature Engineering
- Model Training
- Scikit-learn
- AI Engineer
- ML Engineer
- Remote
📩 How to Apply
👉 Application Link: Click Here
Before submitting your application:
- Update your resume with relevant AI/ML projects.
- Include links to your GitHub or portfolio if available.
- Highlight internships, certifications, and academic achievements.
- Double-check your contact details and resume formatting.
- Apply as early as possible, as remote AI roles often receive a high volume of applications.
🚀 Final Thoughts
The Junior AI/ML Engineer opportunity at StatusNeo is an excellent career option for 2025 and 2026 graduates who want to begin their journey in Artificial Intelligence and Machine Learning. With a remote work model, a competitive ₹10–14 LPA salary, and exposure to modern AI technologies, this role provides a strong foundation for building a successful career in one of the fastest-growing areas of technology. If you have a passion for Python, Machine Learning, Data Science, and continuous learning, this opportunity can help you gain practical industry experience while working with global engineering teams on innovative AI-driven solutions.
