
About Seclore
About
International hacking and state sponsored espionage are on the rise - and so are the technologies guarding the data. Are you in the game?
Seclore is an Information Security product company which has emerged as a global leader in the Data Centric Security space. Right from protecting nuclear submarine designs to new drug formulations to customer data of Fortune 100 organizations - we guard every kind of confidential information. Thousands of enterprises across 29 countries - including governments - can vouch for our technology.
Seclore’s patent pending, award winning technology allows users to control how their information is used - even after it is shared with people within or outside the enterprise. This requires stretching the technology boundaries beyond what might seem possible. It's not for the weak-hearted or run-of-the-mill developers.
Innovation is in our blood. From our early days within IIT Bombay to a globally recognized name in the field, this is one thing that has always taken us to new horizons.
Information Security is a fast-evolving field - testing the limitations of today's technologies. It is the need of the hour for every enterprise - from Fortune 500 companies to military organizations. At Seclore, you get to be part of the front lines - defending today's data against tomorrow's threats.
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Job Description
Responsibilities:
- Collaborate with stakeholders to understand business objectives and requirements for AI/ML projects.
- Conduct research and stay up-to-date with the latest AI/ML algorithms, techniques, and frameworks.
- Design and develop machine learning models, algorithms, and data pipelines.
- Collect, preprocess, and clean large datasets to ensure data quality and reliability.
- Train, evaluate, and optimize machine learning models using appropriate evaluation metrics.
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- Stay informed about emerging trends and advancements in the field of AI/ML and apply them to improve existing solutions.
Strong experience in Apache pyspark is must
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
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- Strong knowledge of machine learning algorithms, deep learning frameworks, and data science concepts.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with popular AI/ML libraries and frameworks, such as TensorFlow, Keras, PyTorch, or scikit-learn.
- Familiarity with cloud platforms, such as AWS, Azure, or GCP, and their AI/ML services.
- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
- Experience in deploying and scaling machine learning models in production environments.
- Strong problem-solving skills and ability to work on multiple projects simultaneously.
- Excellent communication and teamwork skills.
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- Experience with natural language processing (NLP) techniques and tools.
- Familiarity with big data technologies, such as Hadoop, Spark, or Hive.
- Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
- Understanding of DevOps practices for AI/ML model deployment
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Node expressProficient in Node.js and working knowledge of JavaScript, JQuery, AJAX, HTML, CSS, and frameworks ( React.js)
Experience in Node JS MVC framework and Rest API frameworks like Express.
Experience developing desktops.
Experience in Mongo DB.
Familiarity with using AWS components.
Postman for documenting/testing APIs.

Duties and responsibilities:
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- Previous working experience as a MEAN Stack Developer for 3 years
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- Creating secure RESTful-based web services in Node js and Express and MongoDB.
- Continuous integration (Jenkins/Hudson) and version control (SVN, Git)
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Lead and inspire high-performing engineering teams to build and scale highly reliable, secure and responsive architecture for all LoveLocal products
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Build highly Scalable platforms using Python, ReactJS, NodeJS, Kafka, Distributed Caching, SQL and No SQL Databases
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Take full ownership of the people related aspects of the Engineering team engagement, recruiting, retention, compensation, promotions, individual performance management and organizational structure
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Should be actively involved in hunting and recruiting new talent
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Manage the engineering pipeline at all levels from planning the product implementation with the developers, distributing and managing work of the engineering team and ensure code quality across products and services
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Should continuously plan and build for increasing scale of the product and ensure full hygiene of the tech infrastructure and code sanity
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Should be the primary point of contact of functional heads for all tech dependencies
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Take ownership of overall tech budget, reviewing expenses and planning for future costs
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Work closely with CTO and Product Head on the Tech roadmap of the organisation
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Become an integral part of the core team and be strongly aligned with the mission and values of the company
Main Qualifications
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8+ years of experience in Software Development with end-end implementation of products (Preferably in a product driven organisation)
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Minimum 3 years of experience leading a team of at least 15 developers, either as an EM or a Tech Lead
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Should have worked in a well scaled and fast paced working environment (Startups beyond Series B or a major tech organisation)
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Comfortable handling multiple competing priorities in a fast-paced environment.
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Well versed with cloud computing and infrastructure management AWS / GCP
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Has worked extensively on designing and implementing Microservices architecture
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Should have experience working with NoSQL data stores such as MongoDb, Cassandra, HBase, DynamoDB, etc.
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Should have experience working with Big Data streaming services such as Kinesis, Kafka, RabbitMQ etc
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Should be highly skilled in Python and have solid exposure to JavaScript
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Should have solid exposure to Web development and have had familiarity working with Android and IOS engineers
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Excellent understanding of software engineering practices and Design Patterns
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A Bachelors or Masters in Computer Science or equivalent engineering degree from top engineering institutes.

Experience in Core PHP. |
Experience in Laravel Frameworks. |
Understanding of open source eCommerce platforms like Woocommerce, Magento. |
Experience in REST API's integrations. |
Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 |

