


- Bring in industry best practices around creating and maintaining robust data pipelines for complex data projects with/without AI component
- programmatically ingesting data from several static and real-time sources (incl. web scraping)
- rendering results through dynamic interfaces incl. web / mobile / dashboard with the ability to log usage and granular user feedbacks
- performance tuning and optimal implementation of complex Python scripts (using SPARK), SQL (using stored procedures, HIVE), and NoSQL queries in a production environment
- Industrialize ML / DL solutions and deploy and manage production services; proactively handle data issues arising on live apps
- Perform ETL on large and complex datasets for AI applications - work closely with data scientists on performance optimization of large-scale ML/DL model training
- Build data tools to facilitate fast data cleaning and statistical analysis
- Ensure data architecture is secure and compliant
- Resolve issues escalated from Business and Functional areas on data quality, accuracy, and availability
- Work closely with APAC CDO and coordinate with a fully decentralized team across different locations in APAC and global HQ (Paris).
You should be
- Expert in structured and unstructured data in traditional and Big data environments – Oracle / SQLserver, MongoDB, Hive / Pig, BigQuery, and Spark
- Have excellent knowledge of Python programming both in traditional and distributed models (PySpark)
- Expert in shell scripting and writing schedulers
- Hands-on experience with Cloud - deploying complex data solutions in hybrid cloud / on-premise environment both for data extraction/storage and computation
- Hands-on experience in deploying production apps using large volumes of data with state-of-the-art technologies like Dockers, Kubernetes, and Kafka
- Strong knowledge of data security best practices
- 5+ years experience in a data engineering role
- Science / Engineering graduate from a Tier-1 university in the country
- And most importantly, you must be a passionate coder who really cares about building apps that can help people do things better, smarter, and faster even when they sleep

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- Proficient experience of minimum 3 years into C++ & experience using MFC library.
- Good experience into C# programming.
- Working experience into COM.
- Good Communication skills.

WHAT YOU’LL DO:
- Developing system components throughout all phases of the product lifecycle·
- Own, improve, maintain, and enhance the code of a desktop client application with a native look and feel for Windows, one of the primary access points for users to Egnyte’s cloud-based connect solution
- Influence architecture, features, and implementation of our product·
- Collaborate with other developers, product owners, and QA in bringing releases in a SaaS delivery model
YOUR QUALIFICATIONS:
- Leading a team of developers and QA (team size: 4+) with a full focus on productivity and business delivery
- Taking full responsibility for the new code from the design phase to running it in production (high-scale usage)
- Strong C++ programming (C++14 standard) and debugging skills and design patterns knowledge
- Experience with STL, boost, or WIN32 API·
- Experience in the development of multi-threaded and multi-process applications·
- Practice in unit tests development and continuous integration and hands-on experience with REST APIs and Git
· Utilize various sourcing methods such as job boards, social media, networking, referrals, and other creative means to identify and attract potential candidates for non-IT roles.
· Conduct initial screenings and interviews to assess candidates' skills, qualifications, and cultural fit for the organization.
· Schedule and coordinate interviews between candidates and hiring managers, ensuring a smooth and efficient interview process.
· Evaluate candidates' suitability for the position based on their experience, qualifications, and alignment with the company's values and culture.
· Maintain positive relationships with candidates, keeping them informed throughout the hiring process and providing timely feedback.
· Utilize applicant tracking systems (ATS) or other tools to manage candidate data and maintain accurate records of the recruitment process.
· Extend job offers to successful candidates and facilitate the onboarding process for new hires.
· Stay updated on industry trends, job market conditions, and recruitment best practices to enhance sourcing strategies and candidate selection.
· Collaborate with hiring managers and HR teams to understand the requirements and specifications of non-IT positions and develop effective recruitment strategies.
· Ensure all hiring practices comply with relevant employment laws and regulations.

The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc. ) and traditional Image Processing (OpenCV etc. ). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.
Requirements:
- 2 - 4 years of relevant experience in solving complex real-world problems at scale via deep learning, computer vision or AI
- Python, cuDNN, Tensorflow/PyTorch/Keras (or similar Deep Learning frameworks).
- CNNs, RNNs, Transfer learning (for image classification, segmentation, object detection etc).
- Image Processing techniques using OpenCV or other white-box image feature extraction algorithms.
- End to end deployment of deep learning models.
Location – Pune
Experience - 1.5 to 3 YR
Payroll: Direct with Client
Salary Range: 3 to 5 Lacs (depending on existing)
Role and Responsibility
• Good understanding and Experience on AWS CloudWatch for ES2, Amazon Web Services, and Resources, and other sources.
• Collect and Store logs
• Monitor and Store Logs
• Log Analyze
• Configure Alarm
• Configure Dashboard
• Preparation and following of SOP's, Documentation.
• Good understanding AWS in DevOps.
• Experience with AWS services ( EC2, ECS, CloudWatch, VPC, Networking )
• Experience with a variety of infrastructure, application, and log monitoring tools ~ Prometheus, Grafana,
• Familiarity with Docker, Linux, and Linux security
• Knowledge and experience with container-based architectures like Docker
• Experience on performing troubleshooting on AWS service.
• Experience in configuring services in AWS like EC2, S3, ECS
• Experience with Linux system administration and engineering skills on Cloud infrastructure
• Knowledge of Load Balancers, Firewalls, and network switching components
• Knowledge of Internet-based technologies - TCP/IP, DNS, HTTP, SMTP & Networking concepts
• Knowledge of security best practices
• Comfortable 24x7 supporting Production environments
• Strong communication skills
- Be a part of Agile rituals like Feature elaboration/Estimation, daily stand-ups, release planning, Iteration Planning Meeting, Retrospective, Showcase, etc
- Creating technical design specs for a system which sets up enhanced visibility and tracing of network and system performance
- Conduct system performance testing to ensure system reliability, capacity and scalability
- Analyze test results and coordinate with development teams for bug fixes.
- Analyze the root cause of performance issues and provide corrective actions.
- Suggest new tools and techniques to improve testing efficiency.
- Help teams to right-size their servers and containers
- Assist in project planning, scheduling, budgeting, and tracking activities.
- Provide support in project design, development and deployment activities.
- Review and recommend improvements tonexisting test procedures
- Gate keep application performance by ensuring that best practices are followed.
- Coach, train and mentor to improve the maturity and value of the performance engineering across multiple teams
- Good understating of AWS network concepts and their performance implications
- Must be aware AWS of offerings which helps in improving the performance of an applications
- Understanding of operating system's (preferably Linux) performance tuning concepts
- Good experience in memory and CPU thread analysis, GC overview, experience with few incidences
- Good experience in debugging infrastructure performance pain points and should also be able to suggest improvements
- Must have a good understanding of Hyper virtualization
- Has a very good understanding of Infra, hands-on experience in setting up servers, Containers, pipelines, CI
- Extensive knowledge and experience of Performance testing and monitoring tools ( at least 2) JMeter, VSTS, LoadRunner, Dynatrace, AppDynamics, SiteScope, Grafana, Kibana
- Testing Coordination experience – Full understanding of end to end performance test process and experience on how and when to engage different teams
- Excellent Soft Skills (Communication – via email, phone, live-meeting, etc.)
- Good programming experience with any programming languages, preferably C#
- Experience with CI (Continuous Integration) with Performance Testing
- Experience working with .Net core applications
- Experience in creating NFR's
- Experience with performance tuning of NoSQL Databases
- Experience collaborating closely with product, engineering, and UX teams
Responsibilities
Analyze user engagements (e.g. click-through and bounce rates)
Report on web traffic from all social media
Build and support SEO strategies, including optimizing keywords in content marketing projects
Identify the habits of our online customers and suggest ways to reach a broader audience
Maintain a cohesive strategy across all platforms to increase our brand awareness
Coordinate with our digital team and the Marketing department to design advertising campaigns
Ensure timely responses to customers and followers’ queries and comments
Advise other employees on their social media activity (e.g. how to respond to comments and questions by customers and what to share on personal or company accounts)
Research how emerging social networks and features can benefit our company
Requirements:
Previous work experience as a Social Media Analyst, Social Media Coordinator, or similar role
Hands-on experience with social media platforms and digital marketing campaigns
In-depth understanding of SEO, keyword research, and Google Analytics
Experiences with social media management tools, like Buffer and Hootsuite
Familiarity with online content (experience with WordPress and content management systems preferred)
Ability to identify target audience preferences and trends
Excellent communication skills
Time management and multitasking skills
Additional qualifications in digital technologies or social media management will add plus points in your performance.






