We are looking at augmenting our team with an ML Engineer. We are a retail house and need an ML Engineer to train for our upcoming e commerce venture. 

AWS Developer

• Should have strong knowledge of AWS Cloud libraries
• Proficiency in developing, deploying, and debugging cloud-based applications using AWS Services - EC2, ECS, EKS, Lambda, DynamoDB, SQS, Cognito, CloudFormation
• Knowledge on Java, Spring boot, Spring Integration, Node JS
• Ability to use the AWS service APIs, AWS CLI, and SDKs to write applications
• Ability to use a CI/CD pipeline to deploy applications on AWS
• Ability to write code using AWS security best practices (e.g., not using secret and access keys in the code, instead using IAM roles)
• Hands-on experience working in an agile/iterative development environment
• Develop and deploy AWS cloud-based solutions, services, and interfaces
• Participate in all phases of software engineering including; requirements, design, coding and testing.
• Design and implement product features in collaboration with product managers and stakeholder.
• Design reusable components, frameworks and libraries or micro-services
• Participate in an Agile/Scrum methodology to deliver high-quality software releases every 2 weeks

Nos of Resources required: 5 to 6

Work location: Remote (Bangalore/Mumbai)

Qualification: BTech

Experience: 4 yrs – 8 yrs

Mobilization Period in weeks: 2 week

Duration: 6 to 12 months  

We are desirous of increasing the conversions amongst the unique visitors that come to our website each day. We capture basic prospecting data about our visitors and would like to leverage that data to increase our leads/sales. We are looking at agencies that could help us with a tangible improvement with a short term project. Subsequently, we could convert this into long term retainership based contract.  

Position: Support Engineer

Must Have Technical Skills: Azure Data Factory

Good to have Technical Skills: Knowledge of sql or hive, python, pyspark, hdfs or adls

Preferred Industry Experience: Manufacturing

 Role:

Monitor Batch Pipelines in the Data Analytical Platform and provide workaround to the problems.

Troubleshoot issues, provide workaround, determine root cause, upon failures.

Desired Qualification:

·         0-3 years of DE or batch support experience.

·         Must be willing to work completely in the night shift.

·         Ability to work on a task independently or with minimal supervision.

·         Knowledge of Data Orchestration Tool, preferably ADF.

·         Knowledge of sql or hive, python, pyspark, hdfs or adls.

·         Work location: Remotely.

Nos of Resources required: 1 to 2

Work location: Remote

Qualification: BE, BTech, MBA, MCA Prefer Comp. Sci. background

Experience: 0-3 Years

Mobilization Period in weeks: 1 week

Duration: 6 to 12 months