Data Engineer

Key Responsibilities:

• Strategic Growth Planning: Develop and execute strategies to drive sustainable growth and expansion in alignment with company goals.
• Market Analysis: Conduct thorough market research and analysis to identify new opportunities, market trends, and competitive threats.
• Business Development: Lead initiatives to acquire new business partnerships and opportunities, including identifying potential clients and negotiating agreements.
• Operational Excellence: Streamline and optimize internal processes and workflows to enhance efficiency and productivity.
• Financial Management: Collaborate with finance teams to develop budgets, monitor financial performance, and ensure cost-effectiveness.
• Team Leadership: Provide strong leadership and mentorship to cross-functional teams, fostering a culture of collaboration, innovation, and continuous improvement.
• Performance Metrics: Establish key performance indicators (KPIs) and metrics to track progress towards goals, regularly reporting to senior management.
• Risk Management: Identify potential risks and develop mitigation strategies to ensure business continuity and resilience.

Qualifications:

• Education:  MBA or equivalent from a prestigious institute such as IIM preferred.
• Experience: 4-6 years of progressive experience in business development, operations management, or related fields. Prior experience in a leadership role preferred.
• Analytical Skills: Strong analytical and problem-solving abilities, with a data-driven approach to decision-making.
• Communication Skills: Excellent communication and interpersonal skills, with the ability to influence and collaborate effectively at all levels of the organization.
• Strategic Vision: Proven ability to think strategically, anticipate future trends, and translate vision into actionable plans.
• Adaptability: Ability to thrive in a fast-paced environment and effectively manage multiple priorities under tight deadlines.

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Job Description-

Responsibilities:

* Work on real-world computer vision problems

* Write robust industry-grade algorithms

* Leverage OpenCV, Python and deep learning frameworks to train models.

* Use Deep Learning technologies such as Keras, Tensorflow, PyTorch etc.

* Develop integrations with various in-house or external microservices.

* Must have experience in deployment practices (Kubernetes, Docker, containerization, etc.) and model compression practices

* Research latest technologies and develop proof of concepts (POCs).

* Build and train state-of-the-art deep learning models to solve Computer Vision related problems, including, but not limited to:

* Segmentation

* Object Detection

* Classification

* Objects Tracking

* Visual Style Transfer

* Generative Adversarial Networks

* Work alongside other researchers and engineers to develop and deploy solutions for challenging real-world problems in the area of Computer Vision

* Develop and plan Computer Vision research projects, in the terms of scope of work including formal definition of research objectives and outcomes

* Provide specialized technical / scientific research to support the organization on different projects for existing and new technologies

Skills:

* Object Detection

* Computer Science

* Image Processing

* Computer Vision

* Deep Learning

* Artificial Intelligence (AI)

* Pattern Recognition

* Machine Learning

* Data Science

* Generative Adversarial Networks (GANs)

* Flask

* SQL

Responsibilities:

• Take on complex problems that span multiple components and teams.

• Independently own one or more multiple modules, which include: requirement analysis, design, development, maintenance & support

• Write extensive, efficient code to address complex modules that handle the interaction between multiple components.

• Rapidly iterate to add new functionalities and solves complex problems with simple and intuitive solutions

• Produce architecture with clean interfaces, that are efficient and scalable

• Participate and contribute to architectural discussions

• Solve production issues. Investigate and provide solutions to minimize the business impact due to the outage

• Continuously improve performance metrics of modules you own.

• Collaborate effectively across teams to solve problems, execute and deliver results

Requirements:

• Experience: 3+ years

• A Bachelor's or Master's Degree in Computer Science

• Software engineering and product delivery experience, with a strong background in algorithms

• Experience in architecting & building real-time, large-scale e-commerce applications

• Experience with high-performance websites catering to millions of daily traffic is a plus

• Excellent command over Data Structures and Algorithms

• Experience with web technologies, Go/Java/Python

• Language: GO or Python

• Strong expertise in DS and Algo

• Strong leadership skills - have experience mentoring, building products from scratch or incumbent in design and architecture.

• Have worked in the scaling of the system right from scratch.

• Someone worked in small user base to a large user base and wrote optimized code

• Both HLD and LLD

The role will be part of our customer success team. You will work extensively on large datasets to identify and help remediate data risks for customers from diverse domains, and support them as a trusted security advisor. 

Responsibility 

• Analyse customer data on Concentric Platform, extract relevant insights to identify data risks, develop risk remediation strategies 
• Prepare and present data risk reports to customers. Handhold them for implementation of the risk remediation strategies 
• Develop, curate and maintain training datasets for AI models 
• Label large datasets for supervised learning of AI models 
• Serve as customer’s trusted data security advisor, providing subject matter expertise, strategic guidance to drive adoption of concentric platform aligned with customer objectives

• Strong experience on with data analytics. Proven ability to extract relevant insights from big volumes of data to solve specific problems. Eye for detecting trends, anomalies in data. 
• Experience in developing training datasets for AI models and data labelling for supervised learning of AI models. 
• Excellent attention to detail 
• Customer advisory experience preferably in data security domain 
• Experience on with Excel as data analysis and reporting tool is required. Knowledge of other tools like Python, Kibana, Jira, ppt will be a plus. 
• Broad knowledge of operationalizing data security, regulations and standards will be an advantage 
• Excellent communication skills across various formats and mediums. Strong presentation and facilitation skills
• Use creative problem-solving skills to help customers reach their business goals and maximize the value they are getting from Concentric platform
• Graduate/Post Graduate in Engineering discipline from premium institute 

You have 5 years or more of Backend end development experience with expertise in designing and implementing high-performance applications.

Worked with and built high-performance products using Node Js/GoLang/ Python and have seen the product evolution cycle from PoC to Production

You have a deep understanding of design principles and can rightly judge/implement solutions to complex problems

You are capable of writing high-quality code that conforms to the standards and best practices in a particular language/framework.

You have experience building a product using a mainstream library or framework.

You love to own end to end responsibility, starting from defining the problem statement (either yourself or alongside your peers), development (PoC if needed), testing, releasing in staging & then production environment, and finally monitoring.

Previous work experience in product-based startups

Experience building for products that have scaled and have seen the product evolution

• To appoint Block Sales Manager in their respective Districts.
• To manage sales operations in assigned district to achieve revenue goals.
• To supervise sales team members on daily basis and provide guidance whenever needed.
• To identify skill gaps and conduct trainings to sales team.
• To work with team to implement new sales techniques to obtain profits.
• To assist in employee recruitment, promotion, retention and termination activities.
• To conduct employee performance evaluation and provide feedback for improvements.