Are you a fresh graduate passionate about artificial intelligence and machine learning looking to jumpstart your career? The Python AIML Engineer position at Futops Pune offers an excellent opportunity for freshers to gain hands-on experience with cutting-edge AI/ML technologies while working on real-world data-driven projects.
Futops is hiring motivated AI/ML freshers to join their growing team in Kharadi, Pune. This full-time role starts with a 3-6 month paid internship with a clear conversion path to permanent employment. You’ll work on machine learning model development, data preprocessing, and model deployment while receiving mentorship from experienced AI engineers and data scientists.
🚀 About the AI/ML Engineer Role at Futops
This entry-level position focuses on practical machine learning and artificial intelligence development. You’ll participate in building and deploying ML models, work with popular frameworks like TensorFlow and PyTorch, and collaborate with cross-functional teams to integrate AI solutions into real applications. The role provides comprehensive exposure to the complete ML lifecycle from data collection to production deployment.
📊 Job Details
| Detail | Information |
|---|---|
| Company | Futops |
| Position | Python AIML Engineer (Fresher) |
| Location | Nyati Enthral, Kharadi, Pune, Maharashtra |
| Job Type | Full-time (Internship-to-Hire) |
| Experience Required | Fresher / 0-1 Years |
| Internship Duration | 3-6 Months |
| Selection Process | Virtual Drive (Invitation via email) |
Primary Job Responsibilities
Core Functions and Learning Areas
- Build and deploy machine learning models for real-world applications under senior guidance
- Collect, clean, and preprocess datasets from multiple sources ensuring data quality
- Work extensively with Python and ML frameworks including TensorFlow, PyTorch, and Scikit-learn
- Support research activities, conduct experiments, and evaluate model performance metrics
- Contribute to comprehensive documentation and create presentations of ML solutions
- Collaborate with software engineering teams and data scientists to integrate models into production applications
- Participate in code reviews and follow machine learning best practices
- Assist in feature engineering and model optimization tasks
- Stay updated with latest AI/ML trends, research papers, and emerging technologies
- Help troubleshoot and debug ML pipelines and deployment issues
📋 Required Qualifications and Skills
Educational Requirements
- Degree: Bachelor’s or Master’s (BE/B.Tech/MCA/M.Sc) in Computer Science, Data Science, Artificial Intelligence, or related technical field
- Strong academic foundation in mathematics, statistics, and programming
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Technical Skills Required
| Skill Category | Requirements |
|---|---|
| Core ML Knowledge | Good understanding of machine learning concepts and algorithms |
| Programming | Proficiency in Python programming language |
| ML Libraries | NumPy, Pandas, Scikit-learn |
| Specialized Libraries | LLM, OpenCV, Computer Vision, Gstreamer |
| Deep Learning | Basic knowledge of TensorFlow, Keras, PyTorch frameworks |
| Fundamentals | Familiarity with data structures and algorithm concepts |
Good to Have Skills
- Academic projects or personal projects demonstrating AI/ML capabilities
- Exposure to cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure
- Knowledge of version control systems like Git and GitHub
- Understanding of MLOps and model deployment pipelines
- Experience with Jupyter Notebooks and data visualization tools
Essential Competencies
- Strong analytical and problem-solving abilities
- Excellent verbal and written communication skills
- High willingness to learn new technologies and frameworks
- Ability to work collaboratively in team environments
- Attention to detail and commitment to code quality
- Self-motivated with strong work ethic
💰 Expected Salary and Compensation
| Phase | Compensation Details |
|---|---|
| Internship Period (3-6 months) | ₹10,000 per month (Stipend) |
| Post-Confirmation (Full-time) | ₹3-4 LPA (Lakhs Per Annum) |
Note: Conversion to full-time employment based on performance during internship. Shortlisted candidates receive email invitations for virtual interview rounds. Additional benefits may include learning opportunities and career growth programs.
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How to Prepare for the Application
Technical Preparation
- Master Python and practice ML algorithms on Kaggle or Google Colab
- Build 2-3 end-to-end ML projects (classification, regression, computer vision)
- Learn TensorFlow/PyTorch through online courses and hands-on practice
- Complete data preprocessing and exploratory data analysis exercises
Interview Readiness
- Review supervised and unsupervised learning concepts thoroughly
- Practice coding questions on data structures and algorithms
- Prepare to explain your ML projects and model selection decisions
- Brush up on statistics, probability, and linear algebra fundamentals
Portfolio Development
- Create GitHub repository showcasing ML projects with proper documentation
- Include datasets, code, model evaluation metrics, and visualizations
- Write technical blog posts explaining your projects and learnings
- Participate in Kaggle competitions to demonstrate practical skills
Why Choose This Opportunity? ✨
This AI/ML Engineer role at Futops provides structured mentorship and hands-on experience with cutting-edge artificial intelligence projects. You’ll work in a collaborative and innovative culture that encourages learning and experimentation. The clear path from internship to full-time employment offers job security and career development in the rapidly growing AI industry.
The comprehensive exposure to machine learning, deep learning, and computer vision technologies you’ll gain creates a strong foundation for advancing to senior AI engineer, data scientist, or ML researcher positions.
Application Tips
- Highlight academic projects involving machine learning, deep learning, or computer vision
- Create a portfolio website or GitHub profile showcasing your best AI/ML work
- Prepare to discuss your understanding of ML algorithms and their applications
- Demonstrate passion for AI through personal projects, blogs, or open-source contributions
- Research Futops’ technology stack and potential AI applications
Disclaimer: This job information is collected from official and publicly available sources. We do not charge any fees for job applications, do not guarantee recruitment, and are not responsible for any loss or damage arising from reliance on this information.
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