ML Engineer Job Description
Location: Bhubaneswar, Odisha
Job Type:Full-Time ( Onsite Preferred / Remote)
Experience Level: Entry-Level
Department: Engineering
About the Role:
Naada Technologies is one of the pioneers in the field of AI and has a vision to design and develop next generation AI driven products and solutions which are both forend consumers and other businesses in a very wide spectrum of business domains. We are in the process of setting up of our incubation center and are looking for passionate engineers ( engineering Interns) to join our team and be part of this exciting journey.
We are looking for a passionate and curious Machine Learning Engineer (3+ years) to build and deploy ML models for sentiment analysis, issue detection, and recommendation systems.
This is an exciting opportunity for someone early in their career to gain hands-on experience with cutting-edge technologies like large language models (LLMs), image generation, and AI-driven content creation.
Key Responsibilities:
- Build ML models for NLP, sentiment analysis, and classification
- Fine-tune models using TensorFlow / PyTorch
- Develop feature pipelines and training datasets
- Deploy models using Vertex AI / Cloud Run
- Monitor model performance and retrain regularly
- Collaborate with backend teams for ML integration
- Support the development of AI-powered tools, applications, and features.
- Knowledge of Machine Learning infrastructure
- Collaborate with data scientists, ML engineers, and product teams to gather requirements and deliver prototypes.
- Conduct research to stay updated on the latest trends in generative AI and machine learning.
- Help implement prompt engineering and fine-tuning strategies for LLMs.
- Contribute to data preparation, model evaluation, and performance optimization.
Qualifications:
- Bachelor's degree (completed or in progress) in Computer Science, AI, Data Science, or a related field.
- Academic or internship experience with machine learning or deep learning.
- Goodunderstanding of neural networks, natural language processing NLP (transformers, embeddings, sentiment analysis).
- Strong experience with Python and machine learning libraries like PyTorch, TensorFlow, or Hugging Face Transformers.
- Good knowledge of Data pre-processing & feature engineering
- Good knowledge of Model evaluation and monitoring
- Good Knowledge of Machine learning and Deep Learning concepts which include Supervised, Unsupervised and Reinforcement learning techniques with necessary hands on experience
- Eagerness to learn and contribute to real-world AI /ML applications.
Nice to Have:
- Geospatial ML or social data analysis
- Vector databases and similarity search
- Responsible AI & bias handling
- Exposure to tools like Jupyter Notebooks, Git, and cloud platforms (e.g., AWS, GCP).
- Participation in Kaggle competitions or contributions to open-source projects.
What We Offer
- A great opportunity to work in an exciting AI startup focussed on solving real life problems
- Flexible working hours and remote work options.
- Learning and development stipend.
- A collaborative and innovative work environment.
How to Apply:
Submit your resume, GitHub profile, and a brief cover letter highlighting your exposure andexperience with AI/ML. Links to research papers or projects are highly encouraged.
Apply now and be a part of the Next Generation AI/ML driven Innovation for real world problems !!
