ML Engineer

4 weeks ago


bangalore, India Birlasoft Full time

About the Job - Looking for ML Engineers with strong background in deploying and operationalizing ML models, Deep Learning Models (with focus on LLMs).

Job Title - ML Engineer

Location - Bangalore

Educational Background - A masters or bachelor’s degree in computer science or related field from a top university.

Key Responsibilities - Build, Refine and Use ML Engineering platforms and components.

• ML Engineers with strong background in deploying and operationalizing ML models, Deep Learning Models (with focus on LLMs)

• Scaling machine learning algorithms to work on massive data sets and strict SLAs.

• Build and orchestrate model pipelines including feature engineering, inferencing and continuous model training.

• Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop.

• Collaborate with client facing teams to understand business context at a high level and contribute in technical requirement gathering.

• Implement basic features aligning with technical requirements.

• Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors.

• Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews.

• Write unit tests as well as higher level tests to handle expected edge cases and errors gracefully, as well as happy paths.

• Uses bug tracking, code review, version control and other tools to organize and deliver work.

• Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues and dependencies.

• Consistently contribute in researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions.

Skills Required - 4+ years’ hands-on experience in ML development.

• Good fundamentals of machine learning and deep learning

• Experienced in backend API design, vector DB.

• Strong programming expertise in Python, PySpark/Scala.

• Expertise in crafting ML Models for high performance and scalability.

• Experience in implementing feature engineering, inferencing pipelines, and real time model predictions.

• Experience in ML Ops to measure and track model performance, experience working with MLFlow

• Experience with Spark or other distributed computing frameworks.

• Experience in ML platforms like Sage maker, Airflow, Kubeflow, Tensorflow/Kears/Pytorch, or other platforms.

• Experience in deploying models to cloud services like AWS, Azure, GCP, Azure ML.

• Expertise in SQL, SQL DB's.

Additional Requirements - Knowledgeable of core CS concepts such as common data structures and algorithms.

• Collaborate well with teams with different backgrounds / expertise / functions.

Additional Skills

• Understanding of DevOps, CI / CD, data security, experience in designing on cloud platform;

• Experience in data engineering in Big Data systems


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