Client Success Associate

Roles & Responsibilities:

-Adopt novel and breakthrough Deep Learning/Machine Learning technology to fully solve real world problems for different industries. -Develop prototypes of machine learning models based on existing research papers.

-Utilize published/existing models to meet business requirements. Tweak existing implementations to improve efficiencies and adapt for use-case variations.

-Optimize machine learning model training and inference time. -Work closely with development and QA teams in transitioning prototypes to commercial products

-Independently work end-to-end from data collection, preparation/annotation to validation of outcomes.

-Define and develop ML infrastructure to improve efficiency of ML development workflows.

Must Have:

- Experience in productizing and deployment of ML solutions.

- AI/ML expertise areas: Computer Vision with Deep Learning. Experience with object detection, classification, recognition; document layout and understanding tasks, OCR/ICR

. - Thorough understanding of full ML pipeline, starting from data collection to model building to inference.

- Experience with Python, OpenCV and at least a few framework/libraries (TensorFlow / Keras / PyTorch / spaCy / fastText / Scikit-learn etc.)

- Years with relevant experience:

5+ -Experience or Knowledge in ML OPS.

Good to Have: NLP: Text classification, entity extraction, content summarization. AWS, Docker.

Excellent web development experience in large scale applications

ASP.Net, C#, .NET, .Net Core, SQL, and Angular skills are must.

Strong experience with C#, .NET Core and relevant design patterns

Strong MS-SQL query skills.

Proficiency in frontend development with JavaScript and HTML

Service oriented development experience

Excellent Communication skills

Job Description:-

Infrastructure as Code (IaC): Implement and maintain infrastructure as code using tools like Terraform or AWS CloudFormation, ensuring scalability and reliability of cloud resources.

Continuous Integration/Continuous Deployment (CI/CD): Establish and enhance CI/CD pipelines to automate build, test, and deployment processes, facilitating faster and more reliable releases.

Configuration Management: Manage and automate server configurations using tools like Ansible, Chef, or Puppet, ensuring consistency and compliance across environments.

Monitoring and Logging: Set up and maintain monitoring and logging solutions (e.g., CloudWatch, ELK stack) to proactively identify and troubleshoot issues within the AWS infrastructure.

Security and Compliance: Implement security best practices and compliance standards (e.g., AWS IAM, Security Groups) to protect data and resources. Conduct security audits and vulnerability assessments.

The Successful Applicant

AWS Proficiency: Extensive experience with Amazon Web Services (AWS) and its services, including EC2, S3, RDS, Lambda, and more. AWS Certified DevOps Engineer certification is a plus.

Infrastructure as Code (IaC): Proficiency in writing and maintaining infrastructure as code using tools like Terraform, AWS CloudFormation, or similar technologies.

CI/CD Tools: Strong knowledge of CI/CD tools such as Jenkins, Travis CI, or AWS CodePipeline. Ability to configure and optimize automated build and deployment pipelines.

Containerization: Hands-on experience with containerization technologies like Docker and container orchestration platforms like Kubernetes in AWS.

Scripting and Automation: Proficiency in scripting languages (e.g., Bash, Python) for automating tasks and managing infrastructure.

Monitoring and Logging Tools: Familiarity with monitoring and logging tools such as CloudWatch, ELK stack (Elasticsearch, Logstash, Kibana), Prometheus, Grafana, or Splunk.

Security and Compliance: Strong understanding of AWS security best practices, identity and access management (IAM), and compliance frameworks (e.g., HIPAA, GDPR).

Networking: Knowledge of AWS networking concepts, VPC, and routing. Experience with VPNs, Direct Connect, and other networking technologies is a plus.

Database Administration: Basic knowledge of database administration on AWS, including RDS, DynamoDB, or Aurora.

Collaboration and Communication: Excellent communication and teamwork skills to collaborate with cross-functional teams and convey technical information effectively.

Key Responsibilities:

• Interact with team-mates and customers to identify problems and solutions in working toward completion of project goal. • Develop technical specifications based on functional requirements • Initiator and communicator – Drive communication with potential customers through effective product demonstrations, understand their needs, and provide feedback to product teams. • Develop components of the technical solution • Help/co-ordinate with teammates in the creation of custom components and applications • Perform tests according to a given test plan and documents results • Perform basic support and debugging in test and production environment • Identify and escalate problems • Maintain and repair existing applications

Desired Skills:

• Work Experience in Sitecore's latest version • Good experience with .Net 4.5, HTML, JavaScript, CSS, MVC, Web services, SQL Server • Good knowledge of Sitecore CMS Strong knowledge of Visual Studio, TFS, and at least one of the .NET languages (Vb.Net, C#, ASP.NET) • Hands-on experience in .Net Core. • Deep understanding of the web: protocols, architecture, infrastructure, servers (IIS), proxies, load balancing, high availability, and databases, etc. • Deep understanding of modern patterns and practices: unit testing, inversion of control, repository, MVC and continuous integration, etc. • Good to have- Knowledge in Sitecore 10.0/ Sitecore Headless Architecture 

Location:  Pune/Nagpur,Goa,Hyderabad/Bangalore

Job Requirements:

• 9 years and above of total experience preferably in bigdata space.
• Creating spark applications using Scala to process data.
• Experience in scheduling and troubleshooting/debugging Spark jobs in steps.
• Experience in spark job performance tuning and optimizations.
• Should have experience in processing data using Kafka/Pyhton.
• Individual should have experience and understanding in configuring Kafka topics to optimize the performance.
• Should be proficient in writing SQL queries to process data in Data Warehouse.
• Hands on experience in working with Linux commands to troubleshoot/debug issues and creating shell scripts to automate tasks.
• Experience on AWS services like EMR.