YipitData - Software Engineer, AI
Requirements
• ML Algorithms and Deep Learning Fundamentals • PyTorch or TensorFlow • Model Development, Training, and Deployment • Model Evaluation Techniques and Performance Metrics • NLP and LLMs (Hugging Face Transformers, spaCy) • Familiarity with Cloud AI Services (AWS SageMaker, Google Vertex AI, Azure AI) • Basic MLOps Practices • Fundamentals of AI Ethics, Bias Detection, and Model Interpretability • Experience with NLP and LLM frameworks (Hugging Face Transformers, spaCy). • NLP and LLM frameworks • Exposure to cloud AI services (AWS SageMaker, Google Vertex AI, Azure AI). • cloud AI services • Knowledge of MLOps practices, including CI/CD for ML models. • MLOps practices • Familiarity with AI ethics, bias detection, and model interpretability. • AI ethics, bias detection, and model interpretability • This is a fully-remote opportunity based in India. Standard work hours are from 8 am to 5 pm IST.
Responsibilities
• Assist in the development, training, and fine-tuning of machine learning (ML) models. • development, training, and fine-tuning • Work with large datasets, including data cleaning, preprocessing, feature engineering, and preparing high-quality training data. • large datasets • Implement and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. • deep learning models • Support research and development of AI applications in natural language processing (NLP), large language models (LLMs), and predictive analytics. • research and development • natural language processing (NLP) • large language models (LLMs) • predictive analytics • Collaborate with software engineers to deploy and integrate AI models into production environments, including model-integrated API services. • deploy and integrate AI models • Conduct experiments, analyze results, and enhance model accuracy, efficiency, latency, and performance. • experiments, analyze results • Stay updated with the latest advancements in AI and machine learning. • advancements in AI and machine learning • You Are Likely To Succeed If: • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. • 3 to 4 years of relevant hands-on work experience • Solid understanding of machine learning algorithms and deep learning models. • machine learning algorithms • Hands-on experience with Python and AI frameworks (TensorFlow or PyTorch). • Python • TensorFlow or PyTorch • Familiarity with data processing libraries like Pandas, NumPy, and regular expressions. • Pandas, NumPy, and regular expressions • Understanding of model evaluation techniques and performance metrics. • model evaluation techniques and performance metrics • Experience with model training, fine-tuning, and experimentation. • model training, fine-tuning, and experimentation • Familiarity with NLP and LLM applications. • NLP and LLM applications
Benefits
• Ownership That Matters: You’ll lead high-impact projects with real business outcomes • Ownership That Matters • Rapid Growth: We compress years of learning into months • Rapid Growth • Merit Over Titles: Trust and responsibility are earned through execution, not tenure • Merit Over Titles • Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention • Velocity with Purpose: • If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. • Our compensation package includes comprehensive benefits, perks, and a competitive salary: • We care about your personal life, and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more! • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.
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