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Job Description:
1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
b. Improve Model accuracy to deliver greater business impact
c.Estimate business impact due to deployment of model
2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines
4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5.Experience in using Deep learning models with text, speech, image and video data
a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
c.Knowledge of State of the art Deep learning algorithms
6.Optimize and tune Deep Learnings model for best possible accuracy
7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
8.Work with application teams, in deploying models on cloud as a service or on-prem
a.Deployment of models in Test / Control framework for tracking
b.Build CI/CD pipelines for ML model deployment
9.Integrating AI&ML models with other applications using REST APIs and other connector technologies
10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
· Technology/Subject Matter Expertise
- Sufficient expertise in machine learning, mathematical and statistical sciences
- Use of versioning & Collaborative tools like Git / Github
- Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
- Develop prototype level ideas into a solution that can scale to industrial grade strength
- Ability to quantify & estimate the impact of ML models.
· Softskills Profile
- Curiosity to think in fresh and unique ways with the intent of breaking new ground.
- Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
- Ability to think ahead, and anticipate the needs for solving the problem will be important
· Ability to communicate key messages effectively, and articulate strong opinions in large forums
· Desirable Experience:
- Keen contributor to open source communities, and communities like Kaggle
- Ability to process Huge amount of Data using Pyspark/Hadoop
- Development & Application of Reinforcement Learning
- Knowledge of Optimization/Genetic Algorithms
- Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
- Optimize and tune deep learning model for best possible accuracy
- Understanding of stream data processing, RPA, edge computing, AR/VR etc
- Appreciation of digital ethics, data privacy will be important
- Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
- Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
Job description
Who we are looking for
· A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.
Roles and Responsibilities
· Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.
· Mentor and coach other team members
· Evaluate the performance of NLP models and ideate on how they can be improved
· Support internal and external NLP-facing APIs
· Keep up to date on current research around NLP, Machine Learning and Deep Learning
Mandatory Requirements
· Any graduation with at least 2 years of demonstrated experience as a Data Scientist.
Behavioural Skills
· Strong analytical and problem-solving capabilities.
· Proven ability to multi-task and deliver results within tight time frames
· Must have strong verbal and written communication skills
· Strong listening skills and eagerness to learn
· Strong attention to detail and the ability to work efficiently in a team as well as individually
Technical Skills
Hands-on experience with
· NLP
· Deep Learning
· Machine Learning
· Python
· Bert
Preferred Requirements
· Experience in Computer Vision is preferred
Duties and Responsibilities:
Research and Develop Innovative Use Cases, Solutions and Quantitative Models
Quantitative Models in Video and Image Recognition and Signal Processing for cloudbloom’s
cross-industry business (e.g., Retail, Energy, Industry, Mobility, Smart Life and
Entertainment).
Design, Implement and Demonstrate Proof-of-Concept and Working Proto-types
Provide R&D support to productize research prototypes.
Explore emerging tools, techniques, and technologies, and work with academia for cutting-
edge solutions.
Collaborate with cross-functional teams and eco-system partners for mutual business benefit.
Team Management Skills
Academic Qualification
7+ years of professional hands-on work experience in data science, statistical modelling, data
engineering, and predictive analytics assignments
Mandatory Requirements: Bachelor’s degree with STEM background (Science, Technology,
Engineering and Management) with strong quantitative flavour
Innovative and creative in data analysis, problem solving and presentation of solutions.
Ability to establish effective cross-functional partnerships and relationships at all levels in a
highly collaborative environment
Strong experience in handling multi-national client engagements
Good verbal, writing & presentation skills
Core Expertise
Excellent understanding of basics in mathematics and statistics (such as differential
equations, linear algebra, matrix, combinatorics, probability, Bayesian statistics, eigen
vectors, Markov models, Fourier analysis).
Building data analytics models using Python, ML libraries, Jupyter/Anaconda and Knowledge
database query languages like SQL
Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM,
Decision Forests.
Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the
fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis
of a lot of predictive performance or algorithm optimization techniques.
Deep learning : CNN, neural Network, RNN, tensorflow, pytorch, computervision,
Large-scale data extraction/mining, data cleansing, diagnostics, preparation for Modeling
Good applied statistical skills, including knowledge of statistical tests, distributions,
regression, maximum likelihood estimators, Multivariate techniques & predictive modeling
cluster analysis, discriminant analysis, CHAID, logistic & multiple regression analysis
Experience with Data Visualization Tools like Tableau, Power BI, Qlik Sense that help to
visually encode data
Excellent Communication Skills – it is incredibly important to describe findings to a technical
and non-technical audience
Capability for continuous learning and knowledge acquisition.
Mentor colleagues for growth and success
Strong Software Engineering Background
Hands-on experience with data science tools
Artificial Intelligence (AI) Researchers and Developers
Successful candidate will be part of highly productive teams working on implementing core AI algorithms, Cryptography libraries, AI enabled products and intelligent 3D interface. Candidates will work on cutting edge products and technologies in highly challenging domains and will need to have highest level of commitment and interest to learn new technologies and domain specific subject matter very quickly. Successful completion of projects will require travel and working in remote locations with customers for extended periods
Education Qualification: Bachelor, Master or PhD degree in Computer Science, Mathematics, Electronics, Information Systems from a reputed university and/or equivalent Knowledge and Skills
Location : Hyderabad, Bengaluru, Delhi, Client Location (as needed)
Skillset and Expertise
• Strong software development experience using Python
• Strong background in mathematical, numerical and scientific computing using Python.
• Knowledge in Artificial Intelligence/Machine learning
• Experience working with SCRUM software development methodology
• Strong experience with implementing Web services, Web clients and JSON protocol is required
• Experience with Python Meta programming
• Strong analytical and problem-solving skills
• Design, develop and debug enterprise grade software products and systems
• Software systems testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools
• Excellent written and verbal communication skills; Proficiency in English. Verbal communication in Hindi and other local
Indian languages
• Ability to effectively communicate product design, functionality and status to management, customers and other stakeholders
• Highest level of integrity and work ethic
Frameworks
1. Scikit-learn
2. Tensorflow
3. Keras
4. OpenCV
5. Django
6. CUDA
7. Apache Kafka
Mathematics
1. Advanced Calculus
2. Numerical Analysis
3. Complex Function Theory
4. Probability
Concepts (One or more of the below)
1. OpenGL based 3D programming
2. Cryptography
3. Artificial Intelligence (AI) Algorithms a) Statistical modelling b.) DNN c. RNN d. LSTM e.GAN f. CN
Work Timings:4:00PM to 11:30PM
Fulltime WFH
6+ Yrs in Data science
Strong Experience ML Regression, Classification, Anomaly detection, NLP, Deep learning, Predictive analytics, Predictive maintenance ,Python, Added advantage Data visualization
Job Details:-
Designation - Data Scientist
Urgently required. (NP of maximum 15 days)
Location:- Mumbai
Experience:- 5-7 years.
Package Offered:- Rs.5,00,000/- to Rs.9,00,000/- pa.
Data Scientist
Job Description:-
Responsibilities:
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Requirements:
- Proven experience as a Data Scientist or Data Analyst
- Experience in data mining
- Understanding of machine-learning and operations research
- Knowledge of R, SQL and Python; familiarity with Scala, Java is an asset
- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
- Analytical mind and business acumen
- Strong math skills (e.g. statistics, algebra)
- Problem-solving aptitude
- Excellent communication and presentation skills
- BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
Advanced degree in computer science, math, statistics or a related discipline ( Must have master degree )
Extensive data modeling and data architecture skills
Programming experience in Python, R
Background in machine learning frameworks such as TensorFlow or Keras
Knowledge of Hadoop or another distributed computing systems
Experience working in an Agile environment
Advanced math skills (Linear algebra
Discrete math
Differential equations (ODEs and numerical)
Theory of statistics 1
Numerical analysis 1 (numerical linear algebra) and 2 (quadrature)
Abstract algebra
Number theory
Real analysis
Complex analysis
Intermediate analysis (point set topology)) ( important )
Strong written and verbal communications
Hands on experience on NLP and NLG
Experience in advanced statistical techniques and concepts. ( GLM/regression, Random forest, boosting, trees, text mining ) and experience with application.
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.