Lead Data Engineer

at Cactus Communications

Posted by Hemal Kamble
Remote only
6 - 12 yrs
Best in industry
Full time
Big Data
Data engineering
Cloud Computing
Natural Language Processing (NLP)

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.



  • 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
  • Help junior team members in designing solutions and split their user stories
  • Review team members’ code make sure standards are followed, verify unit test coverage
  • 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:

  • 5-8 Years of relevant experience in Big Data preferable with pyspark
  • 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
Read more

About Cactus Communications


We seek professionals who see differently; who find opportunity where others don't; and who look within themselves and know that with the right support and team, they can impact the world!

Join us-

  • If you like Remote work setup. We're a Remote-first organisation.
  • If you are keen on getting a global exposure
  • If you like the freedom to innovate & build products
  • If you want to be part of the team that works in the domain of AI/ML especially with Text (NLP - Natural Language Processing), Language Understanding, Explainable AI, Big Data using many exciting new technologies
  • If you're keen on being part of a culture that values people for their talent, personality, competency, and the ability to learn and grow
Read more
Connect with the team
garim singh
Hemal Kamble
Company social profiles
Why apply to jobs via Cutshort
Personalized job matches
Stop wasting time. Get matched with jobs that meet your skills, aspirations and preferences.
Verified hiring teams
See actual hiring teams, find common social connections or connect with them directly. No 3rd party agencies here.
Move faster with AI
We use AI to get you faster responses, recommendations and unmatched user experience.
Matches delivered
Network size
Companies hiring

Similar jobs

at Sizzle
1 recruiter
Posted by Vijay Koduri
Bengaluru (Bangalore)
2 - 10 yrs
₹6L - ₹20L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
+6 more

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with AI and audio technologies around audio detection, speech-to-text, interpretation, and sentiment analysis.  

You will be responsible for:

Developing audio algorithms to detect key moments within popular online games, such as:

Streamer speaking, shouting, etc.

Gunfire, explosions, and other in-game audio events

Speech-to-text and sentiment analysis of the streamer’s narration

Leveraging baseline technologies such as TensorFlow and others -- and building models on top of them

Building neural network architectures for audio analysis as it pertains to popular games

Specifying exact requirements for training data sets, and working with analysts to create the data sets

Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment

Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation

You should have the following qualities:

Solid understanding of AI frameworks and algorithms, especially pertaining to audio analysis, speech-to-text, sentiment analysis, and natural language processing

Experience using Python, TensorFlow and other AI tools

Demonstrated understanding of various algorithms for audio analysis, such as CNNs, LSTM for natural language processing, and others

Nice to have: some familiarity with AI-based audio analysis including sentiment analysis

Familiarity with AWS environments

Excited about working in a fast-changing startup environment

Willingness to learn rapidly on the job, try different things, and deliver results

Ideally a gamer or someone interested in watching gaming content online


Machine Learning, Audio Analysis, Sentiment Analysis, Speech-To-Text, Natural Language Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python

Work Experience:  2 years to 10 years

About Sizzle

Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Presently, there are over 700 million fans around the world that watch gaming videos on Twitch and YouTube. Sizzle is creating a new highlights experience for these fans, so they can catch up on their favorite streamers and esports leagues. Sizzle is available at www.sizzle.gg . 

Read more
at Karza
1 recruiter
Agency job
via Seven N Half by Viral Jain
Remote only
2 - 5 yrs
₹7L - ₹18L / yr
Natural Language Processing (NLP)
Data Science
Machine Learning (ML)
Computer Vision
Market segmentation
+3 more
Good understanding of data structures, algorithms, and the first principles of mathematics.
● Proficient in Python and using packages like NLTK, Numpy, Pandas
● Should have worked on deep learning frameworks (like Tensorflow, Keras, PyTorch, etc)
● Hands-on experience in Natural Language Processing, Sequence, and RNN Based models
● Mathematical intuition of ML and DL algorithms
● Should be able to perform thorough model evaluation by creating hypotheses on the basis of statistical
● Should be comfortable in going through open-source code and reading research papers.
Read more
AI Platform
Agency job
via Purple Hirez by Aditya K
5 - 10 yrs
₹7L - ₹40L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
+2 more

Be a part of the growth story of a rapidly growing organization in AI. We are seeking a passionate Machine Learning (ML) Engineer, with a strong background in developing and deploying state-of-the-art models on Cloud. You will participate in the complete cycle of building machine learning models from conceptualization of ideas, data preparation, feature selection, training, evaluation, and productionization.

On a typical day, you might build data pipelines, develop a new machine learning algorithm, train a new model or deploy the trained model on the cloud. You will have a high degree of autonomy, ownership, and influence over your work, machine learning organizations' evolution, and the direction of the company.

Required Qualifications

  • Bachelor's degree in computer science/electrical engineering or equivalent practical experience
  • 7+ years of Industry experience in Data Science, ML/AI projects. Experience in productionizing machine learning in the industry setting
  • Strong grasp of statistical machine learning, linear algebra, deep learning, and computer vision
  • 3+ years experience with one or more general-purpose programming languages including but not limited to: R, Python.
  • Experience with PyTorch or TensorFlow or other ML Frameworks.
  • Experience in using Cloud services such as AWS, GCP, Azure. Understand the principles of developing cloud-native application development

In this role you will:

  • Design and implement ML components, systems and tools to automate and enable our various AI industry solutions
  • Apply research methodologies to identify the machine learning models to solve a business problem and deploy the model at scale.
  • Own the ML pipeline from data collection, through the prototype development to production.
  • Develop high-performance, scalable, and maintainable inference services that communicate with the rest of our tech stack
Read more
Curl Tech
Agency job
via wrackle by Naveen Taalanki
Bengaluru (Bangalore)
3 - 10 yrs
₹15L - ₹25L / yr
Deep Learning
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
+1 more

Company Name: Curl Tech

Location: Bangalore

Website: www.curl.tech

Company Profile: Curl Tech is a deep-tech firm, based out of Bengaluru, India. Curl works on developing Products & Solutions leveraging emerging technologies such as Machine Learning, Blockchain (DLT) & IoT. We work on domains such as Commodity Trading, Banking & Financial Services, Healthcare, Logistics & Retail.

Curl has been founded by technology enthusiasts with rich industry experience. Products and solutions that have been developed at Curl, have gone on to have considerable success and have in turn become separate companies (focused on that product / solution).

If you are looking for a job, that would challenge you and desire to work with an organization that disrupts entire value chain; Curl is the right one for you!

Designation: Data Scientist or Junior Data Scientist (according to experience)

Job Description:

Good with Machine Learning and Deep learning, good with programming and maths.

Details: The candidate will be working on many image analytics/ numerical data analytics projects. The work involves, data collection, building the machine learning models, deployment, client interaction and publishing academic papers.


  • The candidate will be working on many image analytics/numerical data projects.

  • Candidate will be building various machine learning models depending upon the requirements.

  • Candidate would be responsible for deployment of the machine learning models.

  • Candidate would be the face of the company in front of the clients and will have regular client interactions to understand that client requirements.

    What we are looking for candidates with:

  • Basic Understanding of Statistics, Time Series, Machine Learning, Deep Learning, and their fundamentals and mathematical underpinnings.

  • Proven code proficiency in Python,C/C++ or any other AI language of choice.

  • Strong algorithmic thinking, creative problem solving and the ability to take ownership and do independent


  • Understanding how things work internally in ML and DL models is a must.

  • Understanding of the fundamentals of Computer Vision and Image Processing techniques would be a plus.

  • Expertise in OpenCV, ML/Neural networks technologies and frameworks such as PyTorch, Tensorflow would be a


  • Educational background in any quantitative field (Computer Science / Mathematics / Computational Sciences and related disciplines) will be given preference.

Education: BE/ BTech/ B.Sc.(Physics or Mathematics)/Masters in Mathematics, Physics or related branches.

Read more
Agency job
via HyreSpree by HyreSpree Team
Bengaluru (Bangalore)
4 - 6 yrs
₹4L - ₹20L / yr
Natural Language Processing (NLP)
+1 more
Skill Set:
  • 4+ years of experience Solid understanding of Python, Java and general software development skills (source code management, debugging, testing, deployment etc.).
  • Experience in working with Solr and ElasticSearch Experience with NLP technologies & the handling of unstructured text Detailed understanding of text pre-processing and normalisation techniques such as tokenisation, lemmatisation, stemming, POS tagging etc.
  • Prior experience in implementation of traditional ML solutions - classification, regression or clustering problem Expertise in text-analytics - Sentiment Analysis, Entity Extraction, Language modelling - and associated sequence learning models ( RNN, LSTM, GRU).
  • Comfortable working with deep-learning libraries (eg. PyTorch)
  • Candidate can even be a fresher with 1 or 2 years of experience IIIT, IIIT, Bits Pilani, top 5 local colleges are preferred colleges and universities.
  • A Masters candidate in machine learning.
  • Can source candidates from Mu Sigma and Manthan.
Read more
at StatusNeo
6 recruiters
Posted by Alex P
Bengaluru (Bangalore), Hyderabad
2 - 4 yrs
₹4L - ₹7L / yr
Data Science
Machine Learning (ML)
Amazon Web Services (AWS)
Windows Azure
+9 more

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.


Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.


Required Technical Skill Set:

  • Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

  • Experience using the full open source programming tools and utilities
  • Experience in working in end-to-end data science project implementation.
  • 2+ years of experience with development and deployment of Machine Learning applications
  • 2+ years of experience with NLP approaches in a production setting
  • Experience in building models using bagging and boosting algorithms
  • Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
  • Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
  • Strong python skills following software engineering best practices
  • Experience in using code versioning tools like GIT, bit bucket
  • Experience in working in Agile projects
  • Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
  • Experience managing big data with efficient query program good to have
  • Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
  • Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
  • Experience with Health care sector is preferred
  • MS/M.Tech or PhD is a plus
Read more
3 - 6 yrs
₹7L - ₹12L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
+6 more

Senior Engineer  – Artificial Intelligence / Computer Vision
(Business Unit – Autonomous Vehicles & Automotive - AVA)

We are seeking an exceptional, experienced senior engineer with deep expertise in Computer Vision, Neural Networks, 3D Scene Understanding and Sensor Data Processing. The expectation is to lead a growing team of engineers to help them build and deliver customized solutions for our clients. A solid engineering as well as team management background is a must.

About MulticoreWare Inc
MulticoreWare Inc is a software and solutions development company with top-notch talent and skill in a variety of micro-architectures, including multi-thread, multi-core, and heterogeneous hardware platforms. It works in sectors including High Performance Computing (HPC), Media & AI Analytics, Video Solutions, Autonomous Vehicle and Automotive software, all of which are rapidly expanding. The Autonomous Vehicles & Automotive business unit specializes in delivering optimized solutions for sophisticated sensor fusion intelligence and the design of algorithms & implementation of software to be deployed on a variety of automotive grade hardware platforms.

Role Responsibilities
● Lead a team to solve the problems in a perception / autonomous-systems scope and turn ideas into code & products
● Drive all technical elements of development, such as project requirements definition, design, implementation, unit testing, integration, and software delivery
● Implementing cutting edge AI solutions on embedded platforms and optimizing them for performance. Hardware architecture aware algorithm design and development
● Contribute to the vision and long-term strategy of the business unit

Required Qualifications (Must Have)
● 3 - 7 years of experience with real world system building, including design, coding (C++/Python) and evaluation/testing (C++/Python)
● Solid experience in 2D / 3D Computer Vision algorithms, Machine Learning and Deep Learning fundamentals – Theory & Practice. Hands-on experience with Deep Learning frameworks like Caffe, TensorFlow or PyTorch
● Expert level knowledge in any of the courses related Signal Data Processing / Autonomous or Robotics software development (Perception, Localization, Prediction, Planning), multi-object tracking, sensor fusion algorithms and familiarity on Kalman filters, particle filters, clustering methods etc.
● Good project management and execution capabilities, as well as good communication and coordination ability
● Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields

Preferred Qualifications (Nice-to-Have)
● GPU architecture and CUDA programming experience, as well as knowledge of AI inference optimization using Quantization, Compression (or) Model Pruning
● Track record of research excellence with prior publication on top-tier conferences and journals

Read more
at Koo
2 recruiters
Posted by Neha Gandhi
Bengaluru (Bangalore)
4 - 6 yrs
₹20L - ₹30L / yr
Machine Learning (ML)
Deep Learning
Natural Language Processing (NLP)
+1 more
Job description

Problem Statement-Solution
Only 10% of India speaks English and 90% speak over 25 languages and 1000s of dialects.
The internet has largely been in English. A good part of India is now getting internet
connectivity thanks to cheap smartphones and Jio. The non-English speaking internet users
will balloon to about 600 million users out of the total 750 million internet users in India by
2020. This will make the vernacular segment one of the largest segments in the world -
almost 2x the size of the US population. The vernacular segment has very few products that
they can use on the internet.

One large human need is that of sharing thoughts and connecting with people of the same
community on the basis of language and common interests. Twitter serves this need globally
but the experience is mostly in English. There’s a large unaddressed need for these vernacular
users to express themselves in their mother tongue and connect with others from their
community. Koo is a solution to this problem.
About Koo

Koo was founded in March 2020, as a micro-blogging platform in both Indian languages and
English, which gives a voice to the millions of Indians who communicate in Indian
Currently available in Assamese, Bengali, English, Hindi, Kannada, Marathi, Tamil and
Telugu, Koo enables people from across India to express themselves online in their mother
tongues. In a country where under 10% of the population speaks English as a native
language, Koo meets the need for a social media platform that can deliver an immersive
language experience to an Indian user, thereby enabling them to connect and interact with
each other. The recently introduced ‘Talk to Type’ enables users to leverage the voice
assistant to share their thoughts without having to type. In August 2021, Koo crossed 10
million downloads, in just 16 months of launch.
Since June 2021, Koo is available in Nigeria.
Founding Team
Koo is founded by veteran internet entrepreneurs – Aprameya Radhakrishna (CEO,
Taxiforsure) and Mayank Bidawatka (Co-founder, Goodbox & Coreteam, redBus).

Technology Team & Culture
The technology team comprises sharp coders, technology geeks and guys who have been
entrepreneurs or are entrepreneurial and extremely passionate towards technology. Talent is
coming from the likes of Google, Walmart, Redbus, Dailyhunt. Anyone being part of a
technology team will have a lot to learn from their peers and mentors. Download our android
app and take a look at what we’ve built. Technology stack compromises of a wide variety of cutting-edge technologies like Kotlin, Java 15, Reactive Programming, MongoDB,
Cassandra, Kubernetes, AWS, NodeJS, Python, ReactJS, Redis, Aerospike, ML, Deep
learning etc. We believe in giving a lot of independence and autonomy to ownership-driven
Problems we Solve
[email protected] is a small and focused team with the following main objectives:
1. Make Koo a clean and safe platform.
2. Recommend content and "people to follow" to users they might be interested in.
3. Make content more discoverable by extracting structures in it, such as topics.
4. Each of the above objectives are open problems, when combined with challenges like
people being creative while being mischievous and working with Indic languages
where not much NLP work has been done. We use the latest technologies to solve
these problems and meanwhile build our own state-of-the-art algorithms.

Job Description
● Design, develop, test, deploy, maintain and improve ML models/infrastructure and
software that uses these models.
● Manage individual project priorities, deadlines and deliverables.
● Contribute to engineering efforts from planning and organization to execution and
● Design and build new data pipelines from scratch, all the way to deploying them to
● Build models and algorithms to understand user interest, user intent, and improve
content relevancy.
● Improve existing recommendation systems, experiment with new directions, and
provide ML solutions in recommendation systems.
● Mentor junior ML engineers in their growth and project deliverables.
● Minimum 4 years’ experience in the field of Machine Learning.
● Proficiency in Python, SQL
● Strong theoretical foundations in ML.
● Experience working with ML and DL frameworks (Scikit-learn, Tensorflow, PyTorch,
● Experience with AWS infrastructure (Sagemaker, S3, EKS etc.)
● Experience in NLP/NLU
● Comfortable with frameworks like MLFlow, AirFlow, Git, Flask, Docker, Spark
Technology skill sets required for a matching profile
1. Building and deploying ML models.
2. AWS infrastructure management.
3. Constructing, evaluating, and tuning ML Pipelines.
4. Spark, python, MLFlow, AirFlow, Git, SQ
Read more
at Netmeds.com
3 recruiters
Posted by Vijay Hemnath
5 - 10 yrs
₹10L - ₹30L / yr
Machine Learning (ML)
Software deployment
Cloud Computing
Snow flake schema
+19 more

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.



- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.


Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.


 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.


Read more
Health Care MNC
Agency job
via Kavayah People Consulting by Kavita Singh
12 - 24 yrs
₹35L - ₹60L / yr
Data Science
Amazon Web Services (AWS)
+1 more
The Director for Data Science will support building of AI products in Agile fashion that
empower healthcare payers, providers and members to quickly process medical data to
make informed decisions and reduce health care costs. You will be focusing on research,
development, strategy, operations, people management, and being a thought leader for
team members based out of India. You should have professional healthcare experience
using both structured and unstructured data to build applications. These applications
include but are not limited to machine learning, artificial intelligence, optical character
recognition, natural language processing, and integrating processes into the overall AI
pipeline to mine healthcare and medical information with high recall and other relevant
metrics. The results will be used dually for real-time operational processes with both
automated and human-based decision making as well as contribute to reducing
healthcare administrative costs. We work with all major cloud and big data vendors
offerings including (Azure, AWS, Google, IBM, etc.) to achieve our goals in healthcare and
The Director, Data Science will have the opportunity to build a team, shape team culture
and operating norms as a result of the fast-paced nature of a new, high-growth

• Strong communication and presentation skills to convey progress to a diverse group of stakeholders
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real-time streaming applications, DevOps and product delivery
• Experience building stakeholder trust and confidence in deployed models especially via application of the algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• Provide mentoring to data scientists and machine learning engineers as well as career development
• Meet project related team members for individual specific needs on a regular basis related to project/product deliverables
• Provide training and guidance for team members when required
• Provide performance feedback when required by leadership

The Experience You’ll Need (Required):
• MS/M.Tech degree or PhD in Computer Science, Mathematics, Physics or related STEM fields
• Significant healthcare data experience including but not limited to usage of claims data
• Delivered multiple data science and machine learning projects over 8+ years with values exceeding $10 Million or more and has worked on platform members exceeding 10 million lives
• 9+ years of industry experience in data science, machine learning, and artificial intelligence
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real time streaming applications, DevOps, and product delivery
• Knows how to solve and launch real artificial intelligence and data science related problems and products along with managing and coordinating the
business process change, IT / cloud operations, meeting production level code standards
• Ownerships of key workflows part of data science life cycle like data acquisition, data quality, and results
• Experience building stakeholder trust and confidence in deployed models especially via application of algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research, and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• 3+ Years of experience managing directly five (5) or more senior level data scientists, machine learning engineers with advanced degrees and directly
made staff decisions

• Very strong understanding of mathematical concepts including but not limited to linear algebra, advanced calculus, partial differential equations, and
statistics including Bayesian approaches at master’s degree level and above
• 6+ years of programming experience in C++ or Java or Scala and data science programming languages like Python and R including strong understanding of
concepts like data structures, algorithms, compression techniques, high performance computing, distributed computing, and various computer architecture
• Very strong understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, and
regressions, SVM, trees, model evaluations with several projects over 3+ years
• Very strong understanding and experience in Natural Language Processing,
reasoning, and understanding, information retrieval, text mining, search, with
3+ years of hands on experience
• Experience with developing and deploying several products in production with
experience in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the
following cloud vendors like AWS, Azure, and Google
• Three plus (3+) years hands on experience with MapR \ Cloudera \ Databricks
Big Data platform with Spark, Hive, Kafka etc.
• Three plus (3+) years of experience with high-performance computing like
Dask, CUDA distributed GPU, TPU etc.
• Presented at major conferences and/or published materials
Read more
Did not find a job you were looking for?
Search for relevant jobs from 10000+ companies such as Google, Amazon & Uber actively hiring on Cutshort.
Get to hear about interesting companies hiring right now
iconFollow Cutshort
Want to apply to this role at Cactus Communications?
Why apply via Cutshort?
Connect with actual hiring teams and get their fast response. No spam.
Learn more
Get to hear about interesting companies hiring right now
iconFollow Cutshort