Field Survey Executive

Who are we?

Securin is an AI-driven cybersecurity company focused on proactive, adversarial exposure and

vulnerability management. Our mission is to help organizations reduce cyber risk by identifying,

prioritising, and remediating the issues that matter most. Powered by a seasoned team of threat

researchers and status as a Certified Naming Authority (CNA), Securin combines artificial intelligence

/ machine learning, threat intelligence, and deep vulnerability research (including the Dark Web) to

deliver an adversarial approach to cyber defence. We help enterprises shift from reactive patching

to strategic, risk-based exposure and vulnerability management – driving smarter security decisions

and faster remediation.

What do we promise?

We are a highly effective tech-enabled cybersecurity solutions provider and promise continual

security posture improvement, enhanced attack surface visibility, and proactive prioritised

remediation for every one of our client businesses.

What do we provide?

● A chance to be on the leading edge of cybersecurity and AI

● Ability to have direct impact on company growth and revenue strategy

● An opportunity to mentor and be mentored by experts in multiple disciplines

What do we deliver?

Securin helps organizations to identify and remediate the most dangerous exposures, vulnerabilities,

and risks in their environment. We deliver predictive and definitive intelligence and facilitate

proactive remediation to help organizations stay a step ahead of attackers.

By utilising our cybersecurity solutions, our clients can have a proactive and holistic view of their

security posture and protect their assets from even the most advanced and dynamic attacks.

Securin has been recognized by national and international organizations for its role in accelerating

innovation in offensive and proactive security. Our combination of domain expertise, cutting-edge

technology, and advanced tech-enabled cybersecurity solutions has made Securin a leader in the

industry.

Key Responsibilities:

● Develop and maintain Python-based applications, ensuring high quality, performance, and

maintainability.

● Apply object-oriented programming (OOP) principles and best practices to design and

implement software solutions.

● Collaborate with cross-functional teams to understand project requirements and contribute

to technical discussions.

● Utilize NoSQL databases, particularly MongoDB, to store and retrieve data efficiently.

● Implement and adhere to test-driven development (TDD) methodologies, writing unit tests

and integration tests for robust and reliable code.

● Work closely with team members to review code, provide constructive feedback, and improve

overall code quality.

● Participate in agile development processes, including sprint planning, daily stand-ups, and

retrospectives.

● Communicate effectively with team members and stakeholders to discuss project updates,

challenges, and solutions.

● Demonstrate a proactive attitude towards learning new technologies and acquiring new skills

to enhance professional growth.

● Stay up to date with industry trends, emerging technologies, and best practices in Python

development.

● 5-7 years hands on experience who can lead architect for features/modules, Mentors others

and ensures code quality, Identifies improvements to patterns, architecture, processes and

handles tough problems independently preferred.

● Knowledge of version control systems (e.g., Git) and collaborative development workflows.

● Familiarity with Agile/Scrum methodologies.

Requirements:

● Can articulate and comprehend communications within and outside the team.

● Is participative and able to present information both verbally and in writing in a way that others can easily understand.

● Is able to communicate commitments, set expectations and meet those.

● Ensures that they have the appropriate context and background prior to presenting information.

● Solicits ideas and inputs from other team members.

● Actively pursues opportunities to develop skills.

● Regularly encourages and recognizes others.

● Consistently can be counted on to identify problems when they occur.

● Independently able to research alternatives or define what data is relevant and can collect

appropriate information to bring to the conversation.

● Is able to independently evaluate options and choose the best solution when making a recommendation.

● Seeks out customer requirements and works to meet customer expectations.

● Viewed as effective by the customer.

● Realizes that customer supplier relationships go both ways.

● Effectively leads and motivates a team, sets clear goals and expectations, delegates tasks, and

communicates effectively.

● Actively engages in mentoring relationships, providing guidance and support to mentees,

helping them develop their skills and achieve their goals.

● Identifies improvements to patterns, architecture, processes.

● Handles tough problems independently.

● Influences architecture decisions for product/tech depts.

● Comfortable using frameworks to develop applications, with the ability to configure and utilize

key features and functionalities.

● Able to design and implement database schemas, write complex SQL queries, and perform

basic database administration tasks.

● Able to identify and apply appropriate design patterns in code to solve specific problems,

following best practices.

● Can deploy and manage applications on cloud platforms, utilize cloud services like storage,

messaging, and compute, and understand cloud-native principles to new technologies.

● Strong problem-solving and analytical thinking abilities.

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

• Experience in full-cycle recruiting
• Proficiency in recruitment software and social media recruiting techniques
• Proven ability to identify and attract top talent
• Strong communication and interpersonal skills
• Ability to build and maintain strong relationships with candidates and hiring managers
• Knowledge of labor laws and regulations
• Bachelor's degree in Human Resources, Business Administration, or related field
• Experience in the travel or hospitality industry is a plus
• Professional certification in HR or recruiting is a plus
• Proven experience of 1-2 years
• Immediate joiner from the location of Noida and Delhi NCR only.

Greetings from Golden Eagle It Technologies Pvt Ltd !!

Designation - Go-lang Developer

Location - Indore | Onsite

Experience - 1.5- 5 years

Job Description -

Skills - Golang, Docker, , Background Jobs , RabbitMQ

Roles and Responsibilities

• Design, architect, test, automate distributed, scalable, microservices based systems
• 3+ years of experience as a application development or similar role
• Excellent knowledge on SQL technologies like MySQL and MSSQL and NoSQL technologies like MongoDB
• Experience on application development in Golang
• Knowledge of Go routines and channel
• Knowledge of Go frameworks and API routers
• Experience in building Microservices
• Experience working in a CI/CD environment with Jenkins/CircleCI
• Extensive programming experience in Golang and Node.js
• Experience with Kubernetes, Docker and gRPC
• Extensive experience with AWS
• Experience designing/building scalable REST APIs
• Fluent in approaches to security, concurrency, debugging, performance, scalability, supportability and quality
• Ability to ramp-up quickly and contribute to a production codebase
• Understand non-functional implications to design like security, data migration, deployment, etc. background in OOPS, microservices and web-based applications.
• Experience with Agile Development (SCRUM methodology, JIRA)
• Good understanding of code versioning tools such as Git, Bitbucket, Mercurial, SVN, etc. and familiarity with continuous integration

Requirements:

• Excellent analytical skills
• Sense of ownership and pride in your performance and its impact on company’s success
• Critical thinker and problem-solving skills
• Team player
• Good time-management skills
• Great interpersonal and communication skills
• Ability to plan resource requirements from high level specifications
• Should be full time graduated (BE or B Tech or MCA) from reputed university

Contact Person: Yashswini Mandlik

Job Description

We're a fast growing fintech startup based in Pune. In June 2019, we launched, an app to check and monitor credit scores. It is the only app in India that helps consumers improve their credit score via an AI-based score planner.

WE are on a mission to re-imagine credit and payments from first principles and is building a mobile-first credit card in India.

• Roles & Responsibilities:-

Strong proficiency in JavaScript.

Thorough understanding of React.js and its core principles.

Experience with popular React.js workflows (such as Flux or Redux)

Familiarity with newer specifications of Ecma Script.

Familiarity with RESTful APIs.

Knowledge of modern authorization mechanisms, such as JSON Web Token.

Familiarity with modern front-end build pipelines and tools.

Experience with common front-end development tools such as Babel, Webpack, NPM, etc.

Ability to understand business requirements and translate them into technical requirements.

A knack for benchmarking and optimization.

About the Company: Among top five global media agencies. we provide access and scale everywhere our clients do business. Intelligent and imaginative, we create, integrate and scale technology-enabled services with premium partners 

 

Job Location :Mumbai

Roles and Responsibilities

• Devising solutions for the client by identifying and configuring the technology, data and processes that improve media targeting, and deepen analytical learning. This can encompass comprehensive audits of a client’s current setup, as well as leading data and tech partner evaluations, and defining measurement frameworks to capture the most valuable signals
• Aid in data partner discovery, vetting, onboarding and cataloguing, providing the relevant teams with a view on the latest solutions in the market, as well as current trends and issues relating to data management
• Support the implementation of client audience data strategy programs, specifically how client data is captured, managed, enhanced (through partnerships), deployed and measured for effectiveness, working closely with adjacent disciplines in Planning, AdOps, Activation and Analytics to ensure audience management best practices flow down and through all client media campaigns
• Maintain strong, effective relationships with key partners and suppliers within the ad/mar-tech data space
• Build strong relationships with key client stakeholders, including communicating with them on subjects outside your remit, and build a reputation for excellence in communication 

Desired background experience:

Required

• Demonstrable knowledge of the ad tech and data landscape, including hands-on experience managing audience data, for your own company or your clients. This includes, a working knowledge of the leading data management platforms (DMPs), customer data platforms (CDPs), knowledge of data onboarding and cross-device matching approaches and an understanding of the tools and technologies that can activate this data (e,g, DSPs, social platforms)
• Familiarity with and experienced in working with cloud-based data solutions (e.g. Google Cloud Platform, Amazon Web services) and tools within (e.g. BigQuery, Ads Data Hub) for data warehousing, insight generation and/or deployment.
• Strong analytical skills and a natural affinity for numbers is key; You must be able to analyze raw data, draw insights and develop actionable recommendations as needed
• Exceptional verbal & written communication skills, able to build and develop strong relationships with, and communicate effectively with people at all levels of seniority; in-agency, client-side, and in the supplier space  
• Strong organizational skills, including experience with resource management, to effectively manage smooth flow of work through agency

• Driving advertising revenues and business-planning process across cross-functional teams of the company
• Optimizing ad formats and backend software to maximize CPMs and Inventory fill rates without compromising on user experience
• Assessing different ad networks, negotiating the best rates
• Developing, implementing and maintaining timelines across multiple departments
• Translating strategy into detailed requirements for prototype construction and final product development by engineering teams
• Working closely with the product, engineering and business teams on the development, QA and release of the products
• Working closely with our M&A team to identify apps worth purchasing, price to pay and revenue optimization upside
• Working on Ad Hoc projects that the company may need to prioritize or ask you to get involved with basis your expertise

Desired Candidate Profile

• 2+ years of experience
• Strong experience in a mobile ad revenue and monetization role
• Hands-on experience in managing monetization across a portfolio of mobile products
• Knowledge of Ad Networks, Mediation and RTB
• Understanding of the Google AdMob framework and experience in dealing with ITV issues
• Excellent communication skills
• Ability to ideate & execute
• Experience managing & executing monetization across multiple apps (products) and use cases is a big plus