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Engineering Specialist

4 months ago

Kolkata, India RapidBraiins Full time

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies.

As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world.

Job Details :

Location : Mumbai / Pune / Delhi / Chennai / Bangalore / Noida / Kolkata / Coimbatore

Notice Period : Immediate to 60 Days only

Experience : 6+ Yrs

Primary Skills : MLOps and Data Bricks

Job Summary :

Were looking for a ML/MLOps Engineering Specialist who is experienced in designing and implementing ML applications at scale in production for our ML Engineering team.

The team is a cross-functional team and has ML Engineers and Software Engineers, and closely works with data scientists and data engineers in designing, building and operationalizing AI/ML models.

Roles and Responsibilities :

- As a ML Engineering Specialist, you will be a key stakeholder and owning responsibility in designing and architecting end to end ML solutions.

- Operationalize ML models, NLP, Computer Vision, and other type of models.

- End to End model lifecycle management, starting from feature extraction to monitor machine learning models using high end tools and technologies.

- Design & implementation of DevOps principles in Machine Learning

- Model quality assurance, governance, and monitoring

- Integrate models as part of business applications via APIs.

- Execute best practices in version control and continuous integration / delivery.

- Collaborate with data scientists, engineers, and other key stakeholders.

- Work well in a fast-paced cross-functional environment

Mandatory Skills/Requirements :

- Experience in implementing machine learning life cycle on Databricks.

- Experience with creating ML pipelines using Azure DevOps

- Experience with Machine learning frameworks, libraries, and agile environments.

- Experience with various model deployment strategies.

- Experience with Python and SQL is must.

- Understanding of distributed frameworks such as Spark, Dask, Ray etc. is a plus.

- Experience with version control tools such as Git, Bitbucket etc.

- Knowledge on Docker, Jenkins, Kubernetes, and other DevOps tools.

- Knowledge on Infra-as-a-Code via ARM or Terraform templates.

- Familiarity with Large Language Models and Operationalization of foundation models on cloud platforms will be a plus.

- Outstanding analytical and problem-solving skills

Educational Qualifications : Bachelor's/Master's

(ref:hirist.tech)