Machine Learning Engineer

We are looking for a highly skilled Machine Learning Engineer 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.

Key Responsibilities

• Work on GenAI and Large Language Model–based (LLM) solutions.
• Collaborate with cross-functional teams to understand requirements and deliver high-quality ML solutions.
• Optimize AI Agents performance, scalability, and efficiency.
• Implement data preprocessing, feature engineering, and model evaluation techniques.
• Participate in code reviews, research, and experimentation to improve ML pipelines.

Required Skills & Expertise

• 2 to 8 years of experience as a Machine Learning Engineer / Data Scientist.
• Strong knowledge of Python and ML libraries.
• Hands-on experience with Ai Agents,Scikit-learn,API integration .
• Experience building and deploying real-world ML/AI applications.
• Understanding of Generative AI, LLMs, and prompt engineering is a strong advantage.
• Excellent problem-solving and analytical skills.
• Good communication skills and ability to explain complex concepts clearly.

Good to Have

• Knowledge of MLOps, cloud platforms (AWS/GCP/Azure), Docker, or CI/CD.
• Experience with NLP, Computer Vision.
• 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.

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!