Machine Learning Engineer
Location
Bangalore | India
Job description
Ennoventure is a venture-backed deep-tech company with revolutionary technology to detect counterfeit goods. Our vision is to create a trusted value chain for delivering authentic products and experiences. We offer a fast-paced and highly collaborative work environment with significant opportunities for professional growth.
As the Machine Learning Engineer, you will be responsible for designing and developing machine learning systems, implementing appropriate ML algorithms, and conducting experiments.You will be responsible for leading crucial projects and initiatives. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams.
- Development of various Machine Learning algorithms.
- Implementation of high-end efficient models in Machine Learning (e.g., Deep Learning) for accurate analysis and classification of images
- Implement and optimize model evaluation metrics to ensure high performance.
- Collaborate with cross-functional teams to integrate machine learning solutions into our products.
- Train, evaluate, and fine-tune machine learning models using diverse datasets.
- Conduct thorough data analysis, preprocessing, and feature engineering to optimize data for machine learning
models.
- Rapidly prototype and experiment with different machine learning models to identify the most effective approaches.
- Support Product and Engineering teams in integrating new innovations into the core product.
- Stay current with industry trends and Advancements in Machine Learning and artificial intelligence.
Requirements
- Master's in computer science
- Hands-on experience with at least one MLOps framework such as MLFlow, MetaFlow, etc.
- Hands-on experience in developing and deploying ML algorithms on cloud providers such as AWS, GCP, etc.
- Good understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing.
- Expertise in data preprocessing, feature engineering, and model evaluation.
- Programming experience with Python, Open CV, Pandas, and other such libraries used in computational research.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras
- Familiarity with data structures, data modeling, and software architecture
BenefitsWe believe that our people are critical for our ambitious growth plans. We want to build an organization where people thrive, feel included, grow professionally, and enjoy having high impact through their work.
We follow a Total rewards philosophy incorporating all elements of pay, performance rewards, wealth creation, wellbeing, learning, development, and career:
Pay: Competitive Salary
Financial Reward: Performance-based
Well-being: Health insurance & Mental health programs
Learning: Ongoing investment in you and your skills. Specific self-development interventions based on your performance and potential.
Compensation reviews – based on role value determined by mapping and the positioning in the Market
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