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!
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