Posted on: 10/02/2026
Description : We are seeking skilled AI/ML Engineers to join our team in developing, deploying, and maintaining scalable machine learning models and APIs. The ideal candidates will have hands-on experience in model development, data preprocessing, and working with modern AI frameworks and tools such as LangChain and RLHF. You will collaborate closely with cross-functional teams to deliver robust AI solutions that align with business goals.
Key Responsibilities :
- Design, develop, and deploy machine learning models and inference APIs.
- Perform data preprocessing, cleaning, and feature engineering.
- Optimize model performance for accuracy, speed, and scalability.
- Collaborate with product, engineering, and data teams to integrate ML solutions into production systems.
- Implement model monitoring, version control, and documentation processes.
- Work on distributed ML systems and orchestration frameworks to handle large-scale training and inference.
- Explore and implement Reinforcement Learning from Human Feedback (RLHF) techniques where applicable.
Required Skills and Qualifications :
- Strong programming skills in Python and experience with SQL/NoSQL databases.
- Solid understanding of machine learning concepts and experience with model training and evaluation.
- Experience with LangChain or similar frameworks for building AI-driven applications.
- Familiarity with orchestration tools and distributed computing for ML workloads.
- Proficient in developing and consuming RESTful APIs.
- Experience with model lifecycle management, including versioning and monitoring.
- Understanding of RLHF and its application in real-world scenarios is a plus.
Preferred Qualifications :
- Experience deploying ML models in production environments.
- Background in cloud services (e.g., AWS, GCP, Azure) and ML infrastructure.
- Exposure to MLOps practices and tools like MLflow, Kubeflow, or Airflow.
- Excellent problem-solving and communication skills
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