Senior Machine Learning Engineer

1 month ago

Bengaluru, Karnataka, India Digital Green Full time
About Digital Green

Digital Green is a pioneering global non-profit organization that harnesses digital platforms and community-driven approaches to amplify the voices of smallholder farmers and improve their livelihoods. Our mission is to create a world where farmers use technology and data to build prosperous communities.

Job Summary

We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Digital Green. As a key member of our engineering team, you will have the opportunity to apply cutting-edge machine learning techniques to empower smallholder farmers with intelligent conversational bots. You will work closely with cross-functional teams and government partners to develop and deploy NLP solutions tailored for the agricultural domain, driving positive impact and transformation in farming communities worldwide.

Key Responsibilities:
  • Model Development: Develop and train ML models and algorithms for NLP tasks such as query understanding and decomposition, query reformulation, and semantic similarity matching.
  • Data Preprocessing: Preprocess and analyze agricultural multi-modal data collected from diverse sources, ensuring data quality, relevance, and appropriateness for model training.
  • Model Optimization: Optimize language models using state-of-the-art techniques and methodologies, and fine-tune them to perform effectively in low-resource settings and local languages.
  • Model Deployment and Integration: Deploy trained models into staging and production environments, integrate them with our conversational bot platform.
  • Performance Monitoring and Evaluation: Monitor model performance in real-world deployments, track key metrics such as accuracy, latency, drift, and readability scores.
  • Stakeholder Engagement: Collaborate with government partners, product team, and engineering team to understand their needs and requirements.
Qualifications:
  • Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, or a related field with a focus on machine learning and NLP.
  • Experience: Proven experience of 5+ years as a machine learning engineer, data scientist, or software engineer, with hands-on experience in deploying machine learning models.
  • Programming Skills: Proficiency in Python and experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and NLTK.
  • NLP Knowledge: Strong understanding of NLP techniques including language modeling, text classification, named entity recognition, sentiment analysis, and machine translation.
  • Software Engineering Skills: Solid software engineering skills, including proficiency in GitHub/GitLab, Docker, and cloud computing platforms (e.g., AWS, GCP, Azure).
  • Problem-solving Skills: Excellent analytical and problem-solving skills, with the ability to understand complex requirements and devise innovative solutions.
  • Team Player: Strong interpersonal and communication skills, with the ability to work effectively in a collaborative team environment and contribute to a culture of innovation and excellence.
Compensation and Application Process:

Digital Green Trust offers a competitive and comprehensive compensation and benefits package. We are an equal opportunity employer and welcome applications from qualified candidates. Please send your application along with an updated CV and a cover letter explaining your suitability for the position. All completed applications should be applied through https://digitalgreen.applytojob.com/apply/Q8bJ0UEUrq/Senior-ML-Engineer.

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