Automation With Unix Shell Scripting

Job Description:

1.     Machine Learning Development & Deployment

·      Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross sell/upsell opportunity identification.

·      Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.

·      Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.

2.     Cross-Functional ML Use Cases

·      Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases.

·      Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3.

3.      Model Governance and MLOps

·      Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.

·      Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure).

4. Data Engineering and Feature Architecture

·      Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.

·      Perform feature selection, transformation, and engineering aligned with each domain’s business logic. 5. Communication & Stakeholder Collaboration

·      Present technical insights and model results to business and executive stakeholders in a clear, actionable format.

·      Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.

Qualifications:

Required

• Bachelor’s or Master’s degree in (e.g., Computer Science, Engineering, Statistics, Mathematics)

• 4+ years of experience in machine learning, data science.

• Proficiency in Python, XGBoost, PyTorch, TensorFlow, or similar.

• Experience deploying models into production using ML pipelines and orchestration frameworks.

• Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI).

• Hands-on experience in implementing machine learning algorithms such as Random Forest, XGBoost, Logistic Regression, and Deep Learning techniques including Neural Networks (ANN, CNN)

Preferred:

• Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.

• Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store).

• Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce).

• Background in statistics, forecasting, optimization, or recommendation systems.

Position Details

We are looking for candidates for a Business Development profile with hardcore experience in sales, including lead generation and cold calling . with a preference for those from service-based or consulting organizations. Strong communication skills and a result-oriented sales mindset are essential.

Key Responsibilities

• Responsible for identifying, approaching and setting up meetings with potential corporate clients (B2B) based on a target list of leads;

• Articulate how MGB can be of value to prospective client;

• Calendar qualified meetings between MGB Leadership & prospects;

• Achieve monthly and quarterly goals for qualified meetings

• Responsible for mapping and engaging with key decision makers on the client side to enable further business development opportunities for the MGB Leadership team to pursue

• Document sales activities in a timely manner in sales software. Maintains profiles of all current and

prospective customers

• Reports regularly on lead generation activities, opportunities and reviews progress against forecast and targets with HOD

• Responsible for doing business meetings with clients and closing the leads.

• Meeting the clients as and when required to make PR

Hi,

We are looking for candidate with experience in DevSecOps.

Please find below JD for your reference.

Responsibilities:

Execute shell scripts for seamless automation and system management.

Implement infrastructure as code using Terraform for AWS, Kubernetes, Helm, kustomize, and kubectl.

Oversee AWS security groups, VPC configurations, and utilize Aviatrix for efficient network orchestration.

Contribute to Opentelemetry Collector for enhanced observability.

Implement microsegmentation using AWS native resources and Aviatrix for commercial routes.

Enforce policies through Open Policy Agent (OPA) integration.

Develop and maintain comprehensive runbooks for standard operating procedures.

Utilize packet tracing for network analysis and security optimization.

Apply OWASP tools and practices for robust web application security.

Integrate container vulnerability scanning tools seamlessly within CI/CD pipelines.

Define security requirements for source code repositories, binary repositories, and secrets managers in CI/CD pipelines.

Collaborate with software and platform engineers to infuse security principles into DevOps teams.

Regularly monitor and report project status to the management team.

Qualifications:

Proficient in shell scripting and automation.

Strong command of Terraform, AWS, Kubernetes, Helm, kustomize, and kubectl.

Deep understanding of AWS security practices, VPC configurations, and Aviatrix.

Familiarity with Opentelemetry for observability and OPA for policy enforcement.

Experience in packet tracing for network analysis.

Practical application of OWASP tools and web application security.

Integration of container vulnerability scanning tools within CI/CD pipelines.

Proven ability to define security requirements for source code repositories, binary repositories, and secrets managers in CI/CD pipelines.

Collaboration expertise with DevOps teams for security integration.

Regular monitoring and reporting capabilities.

Site Reliability Engineering experience.

Hands-on proficiency with source code management tools, especially Git.

Cloud platform expertise (AWS, Azure, or GCP) with hands-on experience in deploying and managing applications.

Please send across your updated profile.

What will you be doing? 

• Create test plans, test cases, and test strategy 
• Provide full-stack support for existing and new tools  
• Performance Testing of mobile applications 

What do we expect from you? 

• Bachelor’s degree in Computer Science or equivalent practical experience.  
• 3-5 years of relevant work experience.  
• Solid understanding of Quality Assurance methods and practices.  

• Deep understanding of manual and automated testing concepts.  
• Proficiency in any open-source Automation Framework 
• Experience in testing mobile applications 
• Demonstrated experience in test framework design and development.  
• Strong Software development fundamentals including OOPs, general Algorithms, etc.  

• Computer fundamentals, analytical and problem-solving skills.  
• Comfortable working in a fast-paced, highly collaborative, dynamic work environment  
• Excellent communication, collaboration, reporting, analytical and problem-solving skills.
• Experience in Shell scripting or familiarity with CLI is a plus

This person MUST have:

• BE Computer Science, MCA or equivalent
• Cloud app development experience
• Strong knowledge of Go programming language, paradigms, constructs, and idioms
• Knowledge of common Goroutine and channel patterns
• Experience with the fullsite of Go frameworks and tools, including:
• Dependency management tools such as Godep, Sltr, etc.
• Go’s templating language
• Go’s code generation tools,such as Stringer
• Ability to write clean and effective Godoc comments
• Familiarity with code versioning tools(such as Git, SVN, and Mercurial)

Experience:

• Min 3 year experience
• Not more than 15 year experience.
• Startup experience is a must. 

Location

• Remotely, anywhere in India

Timings:

• 40 hours a week but with 4 hours a day overlapping with client timezone. .

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.