About Couture.ai
Couture.ai is founded by global innovators and entrepreneurs with experience and self-funding of creating global startup success stories in past. The core team consists of some of the best minds in India in Machine learning and Deep learning research.
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Machine Learning Engineer
As a Machine Learning Engineer at AppyHigh Technologies., you will be responsible to design, architect, build and maintain one or more AI products. You will be working on using cutting-edge deep learning techniques to solve real-world problems that involve extracting intelligence from images, videos, and text. You will be working end-to-end on every aspect of the Machine Learning solution, right from problem understanding and modeling to optimizing for accuracy and performance.
Requirements:
- Sound understanding of deep learning, computer vision and image processing, having a strong mathematical background in linear algebra, probability, and calculus.
- 2+ years of hands-on industry experience working on machine learning and deep learning.
- Extensive experience with machine learning frameworks such as PyTorch or TensorFlow, being proficient in Python
- Experience working with Deep models. Clear conceptual understanding of training methodologies for Deep Learning. Should be aware of how and why various preprocessing, training and evaluation methods are used.
- Understanding of feature selection/extraction, ensembling, bias-variance trade-off, and evaluation metrics.
- Understanding of latest NLP architectures like transformers is good to have
Roles & Responsibilities:
- Designing, architecting, and developing high-quality Deep Learning models and algorithms for image/text/video recognition problems.
- Reading, understanding, implementing and experimenting with new research papers.
- Developing data solutions for described use cases, revolving around image processing, generative models, and text generation
- Conducting regular data investigation and exploratory data analysis.
- Working with state-of-the-art technologies while developing a plethora of ML-driven products.
- Close collaboration with Data Science, Backend, Dev-ops, Android, and Product teams.
Senior Data Engineer - Big Data
at CodeCraft Technologies Private Limited
• Responsible to Ingest data from files, streams and databases. Process the data with Apache Kafka, Spark, Google
Fire Store, Google BigQuery
• Drive Data Foundation initiatives, like Modelling, Data Quality Management, Data Governance, Data Maturity
Assessments and Data Strategy in support of the key business stakeholders.
• Implementing ETL process using Google BigQuery
• Monitoring performance and advising any necessary infrastructure changes
• Implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies
Pyspark, Kafka, Google BigQuery, etc.
• Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing
systems
• Develop efficient software code for multiple use cases leveraging Python and Big Data technologies for various
use cases built on the platform
• Provide high operational excellence guaranteeing high availability and platform stability
Desired Profile:
• Deep understanding of the ecosystem, including ingestion (e.g. Kafka, Kinesis, Apache Airflow), processing
frameworks (e.g. Spark, Flink) and storage engines (e.g. Google FIreStore, Google BigQuery).
• Should have indepth understanding of Bigquery architecture, table partitioning, clustering, best practices, type of
tables, etc.
• Should know how to reduce BigQuery costs by reducing the amount of data processed by your queries
• Practical knowledge of Kafka to build real-time streaming data pipelines and applications that adapt to the data
streams.
• Should be able to speed up queries by using denormalized data structures, with or without nested repeated fields
• Implementing ETL jobs using Bigquery
• Understanding of Bigquery ML
• Knowledge on latest database technologies like MongoDB, Cassandra, Data Bricks etc.
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Experience in GCP and Managed services of GCP
- Minimum 1 years of relevant experience, in PySpark (mandatory)
- Hands on experience in development, test, deploy, maintain and improving data integration pipeline in AWS cloud environment is added plus
- Ability to play lead role and independently manage 3-5 member of Pyspark development team
- EMR ,Python and PYspark mandate.
- Knowledge and awareness working with AWS Cloud technologies like Apache Spark, , Glue, Kafka, Kinesis, and Lambda in S3, Redshift, RDS
Job roles and responsibilities:
- Minimum 3 to 4 years hands-on designing, building and operationalizing large-scale enterprise data solutions and applications using GCP data and analytics services like, Cloud DataProc, Cloud Dataflow, Cloud BigQuery, Cloud PubSub, Cloud Functions.
- Hands-on experience in analyzing, re-architecting and re-platforming on-premise data warehouses to data platforms on GCP cloud using GCP/3rd party services.
- Experience in designing and building data pipelines within a hybrid big data architecture using Java, Python, Scala & GCP Native tools.
- Hands-on Orchestrating and scheduling Data pipelines using Composer, Airflow.
- Experience in performing detail assessments of current state data platforms and creating an appropriate transition path to GCP cloud
Technical Skills Required:
- Strong Experience in GCP data and Analytics Services
- Working knowledge on Big data ecosystem-Hadoop, Spark, Hbase, Hive, Scala etc
- Experience in building and optimizing data pipelines in Spark
- Strong skills in Orchestration of workflows with Composer/Apache Airflow
- Good knowledge on object-oriented scripting languages: Python (must have) and Java or C++.
- Good to have knowledge in building CI/CD pipelines with GCP Cloud Build and native GCP services
Job Description
Lead Machine Learning (ML)/
NLP Engineer
5 + years of experience
About Contify
Contify is an AI-enabled Market and Competitive Intelligence (MCI)
software to help professionals make informed decisions. Its B2B SaaS
platform helps leading organizations such as Ericsson, EY, Wipro,
Deloitte, L&T, BCG, MetLife, etc. track information on their competitors,
customers, industries, and topics of interest by continuously monitoring
over 500,000+ sources on a real-time basis. Contify is rapidly growing
with 185+ people across two offices in India. Contify is the winner of
Frost and Sullivan’s Product Innovation Award for Market and
Competitive Intelligence Platforms.
The role
We are looking for a hardworking, aspirational, and innovative
engineering person for the Lead ML/ NLP Engineer position. You’ll build
Contify’s ML and NLP capabilities and help us extract value from
unstructured data. Using advanced NLP, ML, and text analytics, you will
develop applications that will extract business insights by analyzing a
large amount of unstructured text information, identifying patterns, and
by connecting the events.
Responsibilities:
You will be responsible for all the processes from data collection, and
pre-processing, to training models and deploying them to production.
➔ Understand the business objectives; design and deploy scalable
ML models/ NLP applications to meet those objectives
➔ Use of NLP techniques for text representation, semantic analysis,
information extraction, to meet the business objectives in an
efficient manner along with metrics to measure progress
➔ Extend existing ML libraries and frameworks and use effective text
representations to transform natural language into useful features
➔ Defining and supervising the data collection process, verifying data
quality, and employing data augmentation techniques
➔ Defining the preprocessing or feature engineering to be done on a
given dataset
➔ Analyze the errors of the model and design strategies to overcome
them
➔ Research and implement the right algorithms and tools for ML/
NLP tasks
➔ Collaborate with engineering and product development teams
➔ Represent Contify in external ML industry events and publish
thought leadership articles
Desired Skills and Experience
To succeed in this role, you should possess outstanding skills in
statistical analysis, machine learning methods, and text representation
techniques.
➔ Deep understanding of text representation techniques (such as n-
grams, bag of words, sentiment analysis, etc), statistics and
classification algorithms
➔ Hand on experience in feature extraction techniques for text
classification and topic mining
➔ Knowledge of text analytics with a strong understanding of NLP
algorithms and models (GLMs, SVM, PCA, NB, Clustering, DTs)
and their underlying computational and probabilistic statistics
◆ Word Embedding like Tfidf, Word2Vec, GLove, FastText, etc.
◆ Language models like Bert, GPT, RoBERTa, XLNet
◆ Neural networks like RNN, GRU, LSTM, Bi-LSTM
◆ Classification algorithms like LinearSVC, SVM, LR
◆ XGB, MultinomialNB, etc.
◆ Other Algos- PCA, Clustering methods, etc
➔ Excellent knowledge and demonstrable experience in using NLP
packages such as NLTK, Word2Vec, SpaCy, Gensim, Standford
CoreNLP, TensorFlow/ PyTorch.
➔ Experience in setting up supervised & unsupervised learning
models including data cleaning, data analytics, feature creation,
model selection & ensemble methods, performance metrics &
visualization
➔ Evaluation Metrics- Root Mean Squared Error, Confusion Matrix, F
Score, AUC – ROC, etc
➔ Understanding of knowledge graph will be a plus
Qualifications
➔ Education: Bachelors or Masters in Computer Science,
Mathematics, Computational Linguistics or similar field
➔ At least 4 years' experience building Machine Learning & NLP
solutions over open-source platforms such as SciKit-Learn,
Tensorflow, SparkML, etc
➔ At least 2 years' experience in designing and developing
enterprise-scale NLP solutions in one or more of: Named Entity
Recognition, Document Classification, Feature Extraction, Triplet
Extraction, Clustering, Summarization, Topic Modelling, Dialog
Systems, Sentiment Analysis
➔ Self-starter who can see the big picture, and prioritize your work to
make the largest impact on the business’ and customer’s vision
and requirements
➔ Being a committer or a contributor to an open-source project is a
plus
Note
Contify is a people-oriented company. Emotional intelligence, therefore,
is a must. You should enjoy working in a team environment, supporting
your teammates in pursuit of our common goals, and working with your
colleagues to drive customer value. You strive to not only improve
yourself, but also those around you.
- 3-6 years of relevant work experience in a Data Engineering role.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing data pipelines, architectures, and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- A good understanding of Airflow, Spark, NoSQL databases, Kafka is nice to have.
- Premium Institute Candidates only
We are looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply.
We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you.
All successful candidates are expected to dive deep into problem areas of Zycus’ interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization.
Skills:
- Experience in predictive modelling and predictive software development
- Skilled in Java, C++, Perl/Python (or similar scripting language)
- Experience in using R, Matlab, or any other statistical software
- Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications
- Strong communication and data presentation skills
- Classification (svm, decision tree, random forest, neural network)
- Regression (linear, polynomial, logistic, etc)
- Classical Optimization(gradient descent, newton raphson, etc)
- Graph theory (network analytics)
- Heuristic optimisation (genetic algorithm, swarm theory)
- Deep learning (lstm, convolutional nn, recurrent nn)
Must Have:
- Experience: 3-9 years
- The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or NLP
- The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage
- Preferred experience with large data sets & distributed computing in Hadoop ecosystem
- Fluency with databases
Machine Learning Engineer
at Tradeindia.com - Infocom Network Ltd
