AI ML Engineer

Actively Reviewing the Applications

RefillHealth

Ahmedabad Full-Time 4–8 years

Posted 5 days ago • Apply by June 11, 2026

Job Description

Company Description :
Refill Health is a mental wellness and behavioral solutions platform dedicated to transforming the mental health landscape in workplaces. By prioritizing employees' mental health, we aim to bridge the gap between emotional well-being and organizational excellence. Our human-centric and research-driven approach helps organizations shift from reactive wellness measures to proactive transformation.
Key Responsibilities:

Design, develop, and deploy machine learning models for classification, regression, recommendation, NLP, or computer vision tasks.
Analyze large datasets to extract meaningful insights and prepare them for model training.
Collaborate with cross-functional teams including data engineers, software developers, and product managers.
Conduct experiments, optimize model performance, and validate results using various evaluation metrics.
Stay updated with the latest advancements in AI/ML research and integrate best practices.
Contribute to building scalable ML pipelines and deploying models in production environments.
Document processes, models, and decisions for reproducibility and knowledge sharing.

Required Skills & Qualifications:

Btech in Computer Science, Artificial Intelligence, Data Science, or related field.
3+ years of hands-on experience in machine learning and AI development.
Proficiency in Python and popular ML libraries/frameworks like Scikit-learn, TensorFlow, PyTorch, XGBoost, etc.
Experience with deep learning models, natural language processing (NLP), or computer vision.
Strong understanding of data structures, algorithms, and statistical modeling.
Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools (e.g., MLflow, Kubeflow).
Experience working with databases (SQL/NoSQL) and data wrangling tools (Pandas, NumPy).
Excellent problem-solving skills and attention to detail.

Job Type: Part-time ( 2 to 3 hours per day ) Monday to Saturday
Location - Remote
Salary - Negotiable