WE'RE HIRING | AI/ML ENGINEER Position: AI/ML Engineer Company: Nutriiya Health Intelligence Pvt. Ltd.

Experience:
2+ Years

Location:
Lower Parel, Mumbai Website: https://nutriiya.com/

About the Company
Nutriiya Health Intelligence Pvt. Ltd. is focused on leveraging technology and artificial intelligence to drive innovation in the healthcare space. Through intelligent solutions and data-driven approaches, the company aims to create meaningful advancements in health intelligence.

About the Role
We are looking for a passionate and results-driven AI/ML Engineer with at least 2 years of hands-on experience in developing and implementing machine learning solutions. In this role, you will work on real-world AI/ML challenges, building, training and optimising models that power intelligent product features. You will collaborate with cross-functional teams to develop scalable solutions and take machine learning models from experimentation to production.

Key Responsibilities
- Design, develop and deploy machine learning models to address business challenges.
- Collaborate with data scientists, product managers and engineering teams to integrate ML models into production systems.
- Perform data preprocessing, feature engineering and exploratory data analysis (EDA).
- Train, fine-tune and evaluate machine learning models using frameworks such as TensorFlow, PyTorch and Scikit-learn.
- Build scalable ML pipelines and automate model training and deployment processes.
- Monitor, maintain and optimise deployed models to ensure accuracy, reliability and performance.




- Stay updated with emerging AI/ML technologies, research and industry trends to improve existing solutions.

Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning or a related field.
- Minimum 2 years of professional experience in AI/ML or Machine Learning Engineering.
- Solid proficiency in Python and machine learning libraries such as Scikit-learn, TensorFlow and PyTorch.
- Solid understanding of supervised and unsupervised learning, model evaluation and optimisation techniques.
- Hands-on experience with data processing and analysis tools such as Pandas, NumPy and SQL.
- Knowledge of deploying machine learning models through APIs and cloud platforms such as AWS, GCP or Azure.
- Familiarity with Git and version control systems.
- Understanding of ML lifecycle management tools such as MLflow and DVC will be an added advantage. Preferred

Skills:
- Experience in Natural Language Processing (NLP), Computer Vision or Time-Series Forecasting.
- Knowledge of deep learning architectures, including CNNs, RNNs and Transformers.
- Exposure to big data technologies such as Spark and Hadoop.
- Understanding of MLOps and DevOps practices for machine learning deployment and maintenance. Join Our Team If you're passionate about building intelligent solutions, solving complex problems and working with emerging AI technologies, we'd love to hear from you Pay: ₹405,000.00
- ₹1,660,000.00 per year Work

Location:
In person

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