Machine Learning Engineer Specialist

2 weeks ago

Bangalore, India ALP Consulting Full time

Roles and Responsibilities :


- Graduate and/or postgraduate degree in a relevant discipline (e.g. Maths, Statistics, ML, AI, Computer Science but not exclusively) or equivalent experience.

- Applied data science skills : Skilled in applying advanced statistical techniques and linear/non-linear methods to infer patterns from real world data and doesn't merely rely on packages as a black box to do machine learning.

- Way beyond toy datasets : Developed models with millions of records and taken pride in seeing your solution in production.

- Atleast 4 years of extensive hands-on experience & deep interest in applying AI & DS approaches (e.g.LAMs, LLMs, clustering, regression, web or app analytics), developing and shaping AI algorithms and models across different streams of AI (e.g.Gen AI, reinforcement learning, deep learning) in commercial settings to meet customer needs.

- Proven ability to write well-engineered production grade codes (e.g.Python, SQL, Java).

- Expertise in DS/AI platforms and tools (such as AWS Sagemaker, Google Vertex AI or Azure ML Studio, PyTorch, Tensorflow, Keras, Sci-kit Learn, Data Studio, Looker and Qlik etc).

- Knowhow of ML/LLM Ops, implementing and maintaining CI/CD pipelines using terraforms etc.

- Ability to develop front end will also be preferred.

- Excellent communication : ability to listen and articulate ideas to a range of global audiences, describe requirements with various teams to get things done and comprehensively present designs/solutions.

- Comfortable in working in collaborative and multitasking work environment : across multiple projects with colleagues and stakeholders at various levels, with little or no supervision and a win-win attitude.

- Flexibility and agility : in learning and applying new skills in a short span of time.

(ref:hirist.tech)

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