Data Scientist

2 months ago

Ibrahim Bagh Lines, India JAGGAER Full time
About the Company:JAGGAER is leading the Autonomous Commerce revolution, a self-governing B2B commerce experience between buyers, suppliers, things (IoT), and partners. Leveraging AI and machine learning, our intelligent procurement solutions provide enterprise buyers and suppliers with smart-match recommendations that align buyer needs with supplier capabilities. Our solutions autonomously execute many repetitive, behind-the-scenes tasks to facilitate enterprise commerce. We have over 1,250 employees strong, all focused on customer success. For more information, visit DescriptionKey Responsibilities:-

Design and implement end-to-end document understanding pipelines for NLP and LLM applications-

Experience in Document understanding using NLP/CV.-

Fine-tuning LLM and Document understanding models.-

Optimize models using techniques like LoRA, Quantization, EFT etc.-

Integrate ML/DL/LLM models into production systems and cloud environments (e.G., AWS).-

Experience in using OpenAI/Claude/Gemini LLMs API’s.-

Monitor model performance, identify bottlenecks, and implement continuous improvement.-

Collaborate with cross-functional teams to understand business requirements and translate them into effective ML solutions.-

Document and share best practices, guidelines, and learnings within the team.-

Research and evaluate new ML techniques and technologies to enhance our capabilities.Qualifications:-

5+ years of experience as a Machine Learning Engineer or similar role-

Strong background in fundamentals of machine learning, deep learning, and natural language processing-

Proficient in Python and popular ML/DL frameworks (e.G., PyTorch, TensorFlow, Hugging Face)-

Hands-on experience with deploying and managing ML models in cloud environments, particularly AWS/Azure.-

Familiarity with MLOps practices and tooling (e.G., MLflow, Kubeflow, AWS SageMaker)-

Excellent problem-solving and analytical skills, with the ability to identify and address complex technical challenges.-

Strong communication skills and the ability to collaborate effectively with cross-functional teams.-

Experience in using Docker.-

Bachelor's or master’s degree in computer science, Statistics, Mathematics, or a related field.What we offer- A positive, friendly, and international working environment- A trust-based flexible working environmentOur values:Our values are at the core of who we are at JAGGAER. You will see these values entrenched in how we support our customers, work with team members, build our products, and in the culture we’ve created.Be Collaborative: Foster a culture of mutual respect, working effectively and productively with others, and sharing responsibility for team success.Be Accountable: Take ownership, learn from challenges, be proactive, and rise above one’s circumstances to achieve the result.Be Adaptable: Embrace change, encourage innovation, and remain effective when experiencing major change. Kindly note that only applicants who meet the above criteria will be contacted.JAGGAER is a proud equal opportunity/affirmative action employer supporting workforce diversity. We do not discriminate based upon race, ethnicity, ancestry, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), marital status, caregiver status, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, genetic information, military, or veteran status, mental or physical disability, or other applicable legally protected characteristics.

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