<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> We are looking for a highly skilled <strong>Machine Learning Engineer</strong> who has a strong foundation in building, deploying, and optimizing ML models. If you are passionate about AI, hands-on with modern ML frameworks, and eager to work on innovative solutions—including GenAI—this role is perfect for you.<br/><br/><strong>Key Responsibilities<br/><br/></strong><ul><li>Work on GenAI and Large Language Model–based (LLM) solutions.</li><li>Collaborate with cross-functional teams to understand requirements and deliver high-quality ML solutions.</li><li>Optimize AI Agents performance, scalability, and efficiency.</li><li>Implement data preprocessing, feature engineering, and model evaluation techniques.</li><li>Participate in code reviews, research, and experimentation to improve ML pipelines.<br/><br/></li></ul><strong>Required Skills &amp; Expertise<br/><br/></strong><ul><li>2 to 8 years of experience as a Machine Learning Engineer / Data Scientist.</li><li>Strong knowledge of Python and ML libraries.</li><li>Hands-on experience with Ai Agents,Scikit-learn,API integration .</li><li>Experience building and deploying real-world ML/AI applications.</li><li>Understanding of Generative AI, LLMs, and prompt engineering is a strong advantage.</li><li>Excellent problem-solving and analytical skills.</li><li>Good communication skills and ability to explain complex concepts clearly.<br/><br/></li></ul><strong> Good to Have<br/><br/></strong><ul><li>Knowledge of MLOps, cloud platforms (AWS/GCP/Azure), Docker, or CI/CD.</li><li>Experience with NLP, Computer Vision.</li><li>Research-oriented mindset and willingness to explore new frameworks/tools. Strong communication skills are essential as this is a remote position. The ability to work independently, manage priorities, and meet deadlines is crucial for success in this role.<br/><br/></li></ul>If you are passionate about machine learning and want to make a significant impact on our products and services, we would love to hear from you! </div>