Description:

The position is for a Mid-Level AI/ML Engineer with 4–6 years of experience.
The role involves executing and delivering enterprise agentic AI solutions under the guidance of senior engineers.
Responsibilities include contributing to solution building, model development, and integration.
The engineer will support Agile practices such as sprint planning, estimation, and documentation.
Collaboration with cross-functional teams, including data scientists, DevOps, and product owners, is essential.
The role requires implementing APIs, cloud-native deployments, and monitoring solutions.
The focus is on execution, optimization, and delivery rather than consulting.

Requirements:

Candidates must have programming skills in Python, SQL, and Pandas.
Proficiency in ML/DL frameworks such as scikit-learn, PyTorch, and TensorFlow is required.
Experience with MLOps tools like Docker and CI/CD is necessary.
Familiarity with cloud platforms, specifically AWS or Azure, is expected.
Knowledge of AI application essentials, including RAG pipelines, embeddings/vector databases, and NLP/Transformers, is important.
Candidates should be comfortable with Agile/SCRUM practices, communication, and estimation.

The position offers the opportunity to work on exciting, cutting-edge projects with leading enterprises and innovative startups.
Employees will be part of a community of top-tier experts in AI and ML, solving real-world problems.
The role provides a chance to contribute to transformative initiatives that drive innovation and business growth.
There is a focus on professional development and collaboration with experienced engineers in the field.

Skills