Machine Learning Engineer

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About the Role:

Naada Technologies

Machine Learning Engineer (3+ years)

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.
• Good understanding 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 and experience 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 !!