ISchoolConnect - Senior Machine Learning Engineer

Role : Senior Machine Learning Engineer

Location : Borivali, Mumbai

Reporting : CTO

As a Lead Engineer for the Machine Learning Team you will lead the end-to-end project lifecycle, from initial concept to deployment. You will collaborate with cross-functional teams to build products. Your role also involves understanding client needs, translating requirements into technical specifications, and effectively communicating project progress and milestones.

Responsibilities :

- Take full ownership of the project lifecycle, from initial concept through to deployment and post-launch support.

- Coordinate with cross-functional teams, including software developers and QA engineers, to ensure seamless project execution.

- Design, architect, develop, and deploy cutting-edge machine learning models and APIs.

- Serve as the primary point of contact for clients, understanding their needs, expectations, and feedback.

- Communicate complex technical concepts to non-technical stakeholders effectively.

- Gather and analyze client requirements, translating them into technical specifications and

project plans.

- Provide regular updates to clients on project status, deliverables, and any issues that arise.

- Define project milestones, deliverables, and timelines in collaboration with clients and

internal stakeholders.

- Oversee the lifecycle of machine learning projects, ensuring they are delivered on time.

- Stay updated with the latest advancements in machine learning and data science,

incorporating new techniques and tools as appropriate.

Role Requirements :

- 4+ years of experience in the relevant industry, 3+ years of experience in Machine Learning &

Deep Learning.

- Proficiency in Python and experience with machine learning libraries such as

PyTorch/TensorFlow, Hugging Face Transformers, etc.

- Knowledge of software development best practices, version control systems (Git), and

collaborative coding workflows and CI/CD.

- Experience building software with LLMs and utilizing RAGs, vector databases, and Langchain.

- Experience with MLOps practices and tools such as DVC or MLFlow for versioning,

reproducibility, and observability.

- Experience with cloud platforms, primarily GCP and AWS, and containerization tools like

Docker.

- Proficiency with Linux and shell scripting.

- Proficiency in performing Data Analytics using Looker.

- Excellent communication skills.

- Project planning and scheduling, time and risk management.

- Client interaction and communication.