Human Resource Specialist

Required Male Candidate. Key Responsibility: Design, develop, and test electrical control panels (MCC, PLC, VFD) using AutoCAD/EPLAN. Create schematics, GA drawings, and BOMs. Ensure IEC/UL compliance, support assembly, and troubleshoot.

Job Description: Data Engineer 

Position Overview:

Role Overview

We are seeking a skilled Python Data Engineer with expertise in designing and implementing data solutions using the AWS cloud platform. The ideal candidate will be responsible for building and maintaining scalable, efficient, and secure data pipelines while leveraging Python and AWS services to enable robust data analytics and decision-making processes.

Key Responsibilities

· Design, develop, and optimize data pipelines using Python and AWS services such as Glue, Lambda, S3, EMR, Redshift, Athena, and Kinesis.

· Implement ETL/ELT processes to extract, transform, and load data from various sources into centralized repositories (e.g., data lakes or data warehouses).

· Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.

· Monitor, troubleshoot, and enhance data workflows for performance and cost optimization.

· Ensure data quality and consistency by implementing validation and governance practices.

· Work on data security best practices in compliance with organizational policies and regulations.

· Automate repetitive data engineering tasks using Python scripts and frameworks.

· Leverage CI/CD pipelines for deployment of data workflows on AWS.

• 2.5+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Experience in AWS.
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 2+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

• Periodic review based on approved annual audit plan, on suitability of internal controls in place, and suggest alternatives.

• Make recommendations on the systems and procedures being reviewed, report on the findings and recommendations and monitor department’s response and implementation

• Ensuring closure of audit issues identified in various audits

• Support in implementing policies, SOPs and processes

• Determine and report on compliance with policies and procedures as set by the management

• Support in planned activities such as stock – take of assets

• Support in investigations, if any, arising out of company whistleblower policy

• ERM follow ups and risk closures • Support Audit Committee related activities

Data Scientist-

We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.

As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

In a mobile-first world, there is always an inevitable risk posed by cyber security concerns, which is addressed by our client through API-based solutions. They focus on securing mobile-first enterprises against new age cyber fraud. Their aim is to reduce risk and accelerate the growth of all mobile transactions.

• Planning and prioritizing different aspects of the end-consumer problems as a part of the design process
• Carrying out extensive user research, devising user journeys and understanding customer requirements with a first-principles approach
• Interacting and working closely with stakeholders across Product, Engineering and Marketing
• Effective communication with Front-end engineering on ensuring the last mile correctness of implementation
• Building and maintaining the design system and devising more components in alignment with the same
• Brainstorming ideas on the new age E-Commerce SaaS products and evangelising the design-thinking process inside and outside the organisation

Desired Candidate Profile

• Minimum 1 year of experience working on UX challenges on digital products
• Ability to understand fundamental goals of business both in short and long term aspects
• Appreciate behavioural analytics principles and emphasis on data-driven decision-making
• Excellent communication skills and the ability to articulate design decisions to the team and leadership
• Ability to collaborate with cross-functional teams to define, design and ship new features

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops

• Must have strong exposure working on Java Script 
  
• Proficient in Javascript frameworks (Vue Js / React Js) is a must
• Strong understanding of REST APIs
• Have experience with common front-end development tools such as Babel, Webpack, NPM is a definite advantage
• Good understanding of asynchronous request handling, partial page updates, and AJAX
• Proficient understanding of code versioning tools, such as GitHub
• Good to have working experience on CSS pre-processor either LESS or SASS
• Good understanding of BEM (Block, Element, Modifier) methodology