🏢 Company Overview:
Observe.AI is a leading AI-powered conversation intelligence platform that helps businesses enhance customer experience, improve agent performance, and drive operational efficiency. With cutting-edge artificial intelligence and machine learning technologies, Observe.AI enables companies to transform their contact centers into strategic assets through data-driven insights and automation.
💼 Job Details:
- Employment type: Full Time
- Experience: 7 to 8 Years
- Salary: ₹75,000 – ₹90,000 monthly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
Observe.AI is seeking a talented Software Engineer – Machine Learning to design, develop, and deploy scalable ML models and data-driven applications. The ideal candidate should have strong programming skills, a solid understanding of machine learning frameworks, and hands-on experience in building production-level ML systems. You’ll collaborate with data scientists, software engineers, and product teams to create innovative AI solutions that improve customer engagement and analytics capabilities.
🔑 Key Responsibilities:
- Design, implement, and deploy scalable machine learning models in production environments
- Collaborate with cross-functional teams to define ML use cases and integrate models into Observe.AI’s core products
- Work with large-scale datasets to train, test, and optimize algorithms
- Develop tools and infrastructure for continuous model improvement and monitoring
- Conduct performance evaluation, fine-tuning, and validation of ML models
- Stay updated with the latest advancements in ML, NLP, and AI research
- Ensure robust data security and compliance throughout ML pipelines
🛠️ Required Skills & Qualifications:
- Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks
- Strong understanding of machine learning algorithms, deep learning, and NLP
- Experience with data preprocessing, feature engineering, and model optimization
- Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps pipelines
- Knowledge of APIs, Docker, and microservices architecture
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field
- Strong analytical thinking and problem-solving skills
🌟 Benefits:
- Work on cutting-edge AI and ML technologies
- Collaborative and inclusive work culture
- Opportunity to contribute to impactful, large-scale ML systems
- Flexible working model (remote/hybrid)
- Continuous learning and professional growth opportunities
