Data Engineer

Please note - This is a 100% remote opportunity and you can work from any location.

About the team:

You will be a part of Cactus Labs which is the R&D Cell of Cactus Communications. Cactus Labs is a high impact cell that works to solve complex technical and business problems that help keep us strategically competitive in the industry. We are a multi-cultural team spread across multiple countries. We work in the domain of AI/ML especially with Text (NLP - Natural Language Processing), Language Understanding, Explainable AI, Big Data, AR/VR etc.

The opportunity: Within Cactus Labs you will work with the Big Data team. This team manages Terabytes of data coming from different sources. We are re-orchestrating data pipelines to handle this data at scale and improve visibility and robustness. We operate across all the three Cloud Platforms and leverage the best of them.

In this role, you will get to own a component end to end. You will also get to work on could platform and learn to design distributed data processing systems to operate at scale.

Responsibilities:

• Build and maintain robust data processing pipelines at scale
• Collaborate with a team of Big Data Engineers, Big Data and Cloud Architects and Domain SMEs to drive the product ahead
• Follow best practices in building and optimize existing processes
• Stay up to date with the progress in the domain since we work on cutting-edge technologies and are constantly trying new things out
• Build solutions for massive scale. This requires extensive benchmarking to pick the right approach
• Understand the data in and out and make sense of it. You will at times need to draw conclusions and present it to the business users
• Be independent, self-driven and highly motivated. While you will have the best people to learn from and access to various courses or training materials, we expect you to take charge of your growth and learning.

Expectations from you:

• 4-7 Years of relevant experience in Big Data with Java
• Highly proficient in distributed computing and Big Data Ecosystem - Hadoop, HDFS, Apache Spark
• Good understanding of data lake and their importance in a Big Data Ecosystem
• Being able to mentor junior team members and review their code
• Experience in working in a Cloud Environment (AWS, Azure or GCP)
• You like to work without a lot of supervision or micromanagement.
• Above all, you get excited by data. You like to dive deep, mine patterns and draw conclusions. You believe in making data driven decisions and helping the team look for the pattern as well.

Preferred skills:

• Familiarity with search engines like Elasticsearch and Bigdata warehouses systems like AWS Athena, Google Big Query etc
• Building data pipelines using Airflow
• Experience of working in AWS Cloud Environment.

About the role:

Looking for an engineer to apply Deep Learning algorithms to implement and improve perception algorithms related to Autonomous vehicles. The position requires you to work on the full life-cycle of Deep learning development including data collection, feature engineering, model training, and testing. One will have the opportunity to implement a state-of-the-art Deep learning algorithm and apply it to real end-to-end production. You will be working with the team and team lead on challenging Deep Learning projects to deliver product quality improvements.

Responsibilities:

• Build novel architectures for classifying, detecting, and tracking objects.
• Develop efficient Deep Learning architectures that can run in real-time on NVIDIA devices.

• Optimize the stack for deployment on embedded devices
• Work on Data pipeline – Data Acquisition, pre-processing, and analysis.
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Skillsets:

• Languages: C++, Python.
• Frameworks: CUDA, TensorRT, Pytorch, Tensorflow, ONNX.
• Good understanding of Linux and Version Control (Git, GitHub, GitLab).

• Experienced with OpenCV, Deep Learning to solve image domain problems.

• Strong understanding of ROS.
• Skilled with software design, development, and bug-fixing.
• Coordinate with team members for the development and maintenance of the package.

• Strong mathematical skills and understanding of probabilistic techniques.

• Experience handling large data sets efficiently.
• Experience with deploying Deep Learning models for real-time applications on Nvidia platforms like Drive AGX Pegasus, Jetson AGX Xavier, etc.

Add On Skills:

• Frameworks: Pytorch Lighting
• Experience with autonomous robots
• OpenCV projects, Deep Learning projects
• Experience with 3D data and representations (point clouds, meshes, etc.)
• Experience with a wide variety of Deep learning Models (e.g: LSTM, RNN, CNN, GAN, etc.)

Data Scientist - Applied AI

Who we are?

Searce is  a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.

What do we believe?

• Best practices are overrated

• Implementing best practices can only make one an average .

• Honesty and Transparency

• We believe in naked truth. We do what we tell and tell what we do.

• Client Partnership

• Client - Vendor relationship: No. We partner with clients instead. 
• And our sales team comprises 100% of our clients.

How do we work ?

It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.

• Humble: Happy people don’t carry ego around. We listen to understand; not to respond.

• Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.

• Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.

• Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.

• Innovative: Innovate or Die. We love to challenge the status quo.

• Experimental: We encourage curiosity & making mistakes.

• Responsible: Driven. Self motivated. Self governing teams. We own it.

So, what are we hunting for ?

As a Data Scientist, you will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges,

from developing new models using pre-existing components to enable current systems to

be more intelligent. You should be able to train models using existing data and use them in

most creative manner to deliver the smartest experience to customers. You will have to

develop multiple AI applications that push the threshold of intelligence in machines.

Working on multiple projects at a time, you will have to maintain a consistently high level of attention to detail while finding creative ways to provide analytical insights. You will also have to thrive in a fast, high-energy environment and should be able to balance multiple projects in real-time. The thrill of the next big challenge should drive you, and when faced with an obstacle, you should be able to find clever solutions.You must have the ability and interest to work on a range of different types of projects and business processes, and must have a background that demonstrates this ability.

Your bucket of Undertakings :

1. Collaborate with team members to develop new models to be used for classification problems
2. Work on software profiling, performance tuning and analysis, and other general software engineering tasks
3. Use independent judgment to take existing data and build new models from it
4. Collaborate and provide technical guidance and come up with new ideas,rapid prototyping and converting prototypes into scalable products
5. Conduct experiments to assess the accuracy and recall of language processing modules and to study the effect of such experiences
6. Lead AI R&D initiatives to include prototypes and minimum viable products
7. Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc. 
8. Build reusable and scalable solutions for use across the customer base
9. Prototype and demonstrate AI related products and solutions for customers
10. Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans
11. Identify new business opportunities and prioritize pursuits for AI 
12. Participate in long range strategic planning activities designed to meet the Company’s objectives and to increase its enterprise value and revenue goals

Education & Experience : 

1. BE/B.Tech/Masters in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling
2. 3+ years of Experience majorly in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus
3. Strong, proven programming skills and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop. Experience with writing complex programs and implementing custom algorithms in these and other environments
4. Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks
5. Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains
6. Research and implement novel machine learning and statistical approaches
7. Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus
8. Excellent communication skills (oral and written) to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team

Accomplishment Set: 

1. Extensive experience with Hadoop and Machine learning algorithms
2. Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them
3. Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence)
4. Passion for solving NLP problems
5. Experience with specialized tools and project for working with natural language processing
6. Knowledge of machine learning frameworks like Tensorflow, Pytorch
7. Experience with software version control systems like Github
8. Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills

1. Data Steward :

Data Steward will collaborate and work closely within the group software engineering and business division. Data Steward has overall accountability for the group's / Divisions overall data and reporting posture by responsibly managing data assets, data lineage, and data access, supporting sound data analysis. This role requires focus on data strategy, execution, and support for projects, programs, application enhancements, and production data fixes. Makes well-thought-out decisions on complex or ambiguous data issues and establishes the data stewardship and information management strategy and direction for the group. Effectively communicates to individuals at various levels of the technical and business communities. This individual will become part of the corporate Data Quality and Data management/entity resolution team supporting various systems across the board.

Primary Responsibilities:

• Responsible for data quality and data accuracy across all group/division delivery initiatives.
• Responsible for data analysis, data profiling, data modeling, and data mapping capabilities.
• Responsible for reviewing and governing data queries and DML.
• Accountable for the assessment, delivery, quality, accuracy, and tracking of any production data fixes.
• Accountable for the performance, quality, and alignment to requirements for all data query design and development.
• Responsible for defining standards and best practices for data analysis, modeling, and queries.
• Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management.
• Responsible for the development and maintenance of an enterprise data dictionary that is aligned to data assets and the business glossary for the group responsible for the definition and maintenance of the group's data landscape including overlays with the technology landscape, end-to-end data flow/transformations, and data lineage.
• Responsible for rationalizing the group's reporting posture through the definition and maintenance of a reporting strategy and roadmap.
• Partners with the data governance team to ensure data solutions adhere to the organization’s data principles and guidelines.
• Owns group's data assets including reports, data warehouse, etc.
• Understand customer business use cases and be able to translate them to technical specifications and vision on how to implement a solution.
• Accountable for defining the performance tuning needs for all group data assets and managing the implementation of those requirements within the context of group initiatives as well as steady-state production.
• Partners with others in test data management and masking strategies and the creation of a reusable test data repository.
• Responsible for solving data-related issues and communicating resolutions with other solution domains.
• Actively and consistently support all efforts to simplify and enhance the Clinical Trial Predication use cases.
• Apply knowledge in analytic and statistical algorithms to help customers explore methods to improve their business.
• Contribute toward analytical research projects through all stages including concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report.
• Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders.
• Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed.

Additional Responsibilities:

• Strong understanding of the Software Development Life Cycle (SDLC) with Agile Methodologies
• Knowledge and understanding of industry-standard/best practices requirements gathering methodologies.
• Knowledge and understanding of Information Technology systems and software development.
• Experience with data modeling and test data management tools.
• Experience in the data integration project • Good problem solving & decision-making skills.
• Good communication skills within the team, site, and with the customer

Knowledge, Skills and Abilities

• Technical expertise in data architecture principles and design aspects of various DBMS and reporting concepts.
• Solid understanding of key DBMS platforms like SQL Server, Azure SQL
• Results-oriented, diligent, and works with a sense of urgency. Assertive, responsible for his/her own work (self-directed), have a strong affinity for defining work in deliverables, and be willing to commit to deadlines.
• Experience in MDM tools like MS DQ, SAS DM Studio, Tamr, Profisee, Reltio etc.
• Experience in Report and Dashboard development
• Statistical and Machine Learning models
• Python (sklearn, numpy, pandas, genism)
• Nice to Have:
• 1yr of ETL experience
• Natural Language Processing
• Neural networks and Deep learning
• xperience in keras,tensorflow,spacy, nltk, LightGBM python library

Interaction :  Frequently interacts with subordinate supervisors.

Education : Bachelor’s degree, preferably in Computer Science, B.E or other quantitative field related to the area of assignment. Professional certification related to the area of assignment may be required

Experience :  7 years of Pharmaceutical /Biotech/life sciences experience, 5 years of Clinical Trials experience and knowledge, Excellent Documentation, Communication, and Presentation Skills including PowerPoint

Responsibilities

• Own the design, development, testing, deployment, and craftsmanship of the team’s infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability
• Leverage the deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues
• Entrepreneurial and out-of-box thinking essential for a technology startup
• Guide the team for unit-test code for robustness, including edge cases, usability, and general reliability

Requirements

• In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers
• Experience in feature extraction, object recognition and tracking, image registration, noise reduction, image calibration, and correction
• Ability to understand, optimize and debug imaging algorithms
• Understating and experience in openCV library
• Fundamental understanding of mathematical techniques involved in ML and DL schemas (Instance-based methods, Boosting methods, PGM, Neural Networks etc.)
• Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data.
• Understanding of engineering principles and a clear understanding of data structures and algorithms
• Experience in writing production level codes using either C++ or Java
• Experience with technologies/libraries such as python pandas, numpy, scipy
• Experience with tensorflow and scikit.