11+ Statistical signal processing Jobs in Delhi, NCR and Gurgaon | Statistical signal processing Job openings in Delhi, NCR and Gurgaon

Understanding business objectives and developing models that help to achieve them,
along with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines
are met
Analysing the ML algorithms that could be used to solve a given problem and ranking
them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying
differences in data distribution that could affect performance when deploying the model
in the real world
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper parameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production

Job Title -Data Scientist

 

Job Duties

1. Data Scientist responsibilities includes planning projects and building analytics models.
2. You should have a strong problem-solving ability and a knack for statistical analysis.
3. If you're also able to align our data products with our business goals, we'd like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data.

 

Responsibilities

Own end-to-end business problems and metrics, build and implement ML solutions using cutting-edge technology.

Create scalable solutions to business problems using statistical techniques, machine learning, and NLP.

Design, experiment and evaluate highly innovative models for predictive learning

Work closely with software engineering teams to drive real-time model experiments, implementations, and new feature creations

Establish scalable, efficient, and automated processes for large-scale data analysis, model development, deployment, experimentation, and evaluation.

Research and implement novel machine learning and statistical approaches.

 

Requirements

 

2-5 years of experience in data science.

In-depth understanding of modern machine learning techniques and their mathematical underpinnings.

Demonstrated ability to build PoCs for complex, ambiguous problems and scale them up.

Strong programming skills (Python, Java)

High proficiency in at least one of the following broad areas: machine learning, statistical modelling/inference, information retrieval, data mining, NLP

Experience with SQL and NoSQL databases

Strong organizational and leadership skills

Excellent communication skills

Skills and requirements

• Experience analyzing complex and varied data in a commercial or academic setting.
• Desire to solve new and complex problems every day.
• Excellent ability to communicate scientific results to both technical and non-technical team members.

Desirable

• A degree in a numerically focused discipline such as, Maths, Physics, Chemistry, Engineering or Biological Sciences..
• Hands on experience on Python, Pyspark, SQL
• Hands on experience on building End to End Data Pipelines.
• Hands on Experience on Azure Data Factory, Azure Data Bricks, Data Lake - added advantage
• Hands on Experience in building data pipelines.
• Experience with Bigdata Tools, Hadoop, Hive, Sqoop, Spark, SparkSQL
• Experience with SQL or NoSQL databases for the purposes of data retrieval and management.
• Experience in data warehousing and business intelligence tools, techniques and technology, as well as experience in diving deep on data analysis or technical issues to come up with effective solutions.
• BS degree in math, statistics, computer science or equivalent technical field.
• Experience in data mining structured and unstructured data (SQL, ETL, data warehouse, Machine Learning etc.) in a business environment with large-scale, complex data sets.
• Proven ability to look at solutions in unconventional ways. Sees opportunities to innovate and can lead the way.
• Willing to learn and work on Data Science, ML, AI.

Job Description

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

Who Are We

 

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

 

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

 

WHY US

• Join top AI company
• Grow with your best companions
• Continuous pursuit of excellence, equality, respect
• Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

 

To learn more about how we work, please check out

https://www.orbo.ai/.

 

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

 

Responsibilities:

• Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
• Lead a team of ML engineers in developing an industrial AI product from scratch
• Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
• Tune the models to achieve high accuracy rates and minimum latency
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements

 

 

Requirements:

• Bachelor’s degree
• Understanding about depth and breadth of computer vision and deep learning algorithms.
• 4+ years of industrial experience in computer vision and/or deep learning
• Experience in taking an AI product from scratch to commercial deployment.
• Experience in Image enhancement, object detection, image segmentation, image classification algorithms
• Experience in deployment with OpenVINO, ONNXruntime and TensorRT
• Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
• Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
• Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

• is proactive and an independent problem solver
• is a constant learner. We are a fast growing start-up. We want you to grow with us!
• is a team player and good communicator

 

What We Offer:

• You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
• You will be in charge of what you build and be an integral part of the product development process
• Technical and financial growth!

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.

• Experience with Big Data, Neural network (deep learning), and reinforcement learning • Ability to design machine learning systems • Research and implement appropriate ML algorithms and tools • Develop machine learning applications according to requirements • Select appropriate datasets and data representation methods • Run machine learning tests and experiments • Perform statistical analysis and fine-tuning using test results • Extend existing ML libraries and frameworks • Keep abreast of developments in the field • Understanding of data structures, data modeling and software architecture • Deep knowledge of math, probability, statistics and algorithms • Ability to write robust code in Python, Java and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

Job Description : Role : Analytics Scientist - Risk Analytics Experience Range : 1 to 4 Years Job Location : Noida Key responsibilities include •Building models to predict risk and other key metrics •Coming up with data driven solutions to control risk •Finding opportunities to acquire more customers by modifying/optimizing existing rules •Doing periodic upgrades of the underwriting strategy based on business requirements •Evaluating 3rd party solutions for predicting/controlling risk of the portfolio •Running periodic controlled tests to optimize underwriting •Monitoring key portfolio metrics and take data driven actions based on the performance Business Knowledge: Develop an understanding of the domain/function. Manage business process (es) in the work area. The individual is expected to develop domain expertise in his/her work area. Teamwork: Develop cross site relationships to enhance leverage of ideas. Set and manage partner expectations. Drive implementation of projects with Engineering team while partnering seamlessly with cross site team members Communication: Responsibly perform end to end project communication across the various levels in the organization. Candidate Specification: Skills: • Knowledge of analytical tool - R Language or Python • Established competency in Predictive Analytics (Logistic & Regression) • Experience in handling complex data sources •Dexterity with MySQL, MS Excel is good to have •Strong Analytical aptitude and logical reasoning ability •Strong presentation and communication skills Preferred: •1 - 3 years of experience in Financial Services/Analytics Industry •Understanding of the financial services business • Experience in working on advanced machine learning techniques If interested, please send your updated profile in word format with below details for further discussion at the earliest. 1. Current Company 2. Current Designation 3. Total Experience 4. Current CTC( Fixed & Variable) 5. Expected CTC 6. Notice Period 7. Current Location 8. Reason for Change 9. Availability for face to face interview on weekdays 10.Education Degreef the financial services business Thanks & Regards, Hema Talent Socio

About the job: - You will work with data scientists to architect, code and deploy ML models - You will solve problems of storing and analyzing large scale data in milliseconds - architect and develop data processing and warehouse systems - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. - You will develop tools and products that provide analysts ready access to the data About you: - Strong CS fundamentals - You have strong experience in working with production environments - You write code that is clean, readable and tested - Instead of doing it second time, you automate it - You have worked with some of the commonly used databases and computing frameworks (Psql, S3, Hadoop, Hive, Presto, Spark, etc) - It will be great if you have one of the following to share - a kaggle or a github profile - You are an expert in one or more programming languages (Python preferred). Also good to have experience with python-based application development and data science libraries. - Ideally, you have 2+ years of experience in tech and/or data. - Degree in CS/Maths from Tier-1 institutes.

FarmGuide is a data driven tech startup aiming towards digitizing the periodic processes in place and bringing information symmetry in agriculture supply chain through transparent, dynamic & interactive software solutions. We, at FarmGuide (https://angel.co/farmguide) help Government in relevant and efficient policy making by ensuring seamless flow of information between stakeholders.Job Description :We are looking for individuals who want to help us design cutting edge scalable products to meet our rapidly growing business. We are building out the data science team and looking to hire across levels.- Solving complex problems in the agri-tech sector, which are long-standing open problems at the national level.- Applying computer vision techniques to satellite imagery to deduce artefacts of interest.- Applying various machine learning techniques to digitize existing physical corpus of knowledge in the sector.Key Responsibilities :- Develop computer vision algorithms for production use on satellite and aerial imagery- Implement models and data pipelines to analyse terabytes of data.- Deploy built models in production environment.- Develop tools to assess algorithm accuracy- Implement algorithms at scale in the commercial cloudSkills Required :- B.Tech/ M.Tech in CS or other related fields such as EE or MCA from IIT/NIT/BITS but not compulsory. - Demonstrable interest in Machine Learning and Computer Vision, such as coursework, open-source contribution, etc.- Experience with digital image processing techniques - Familiarity/Experience with geospatial, planetary, or astronomical datasets is valuable- Experience in writing algorithms to manipulate geospatial data- Hands-on knowledge of GDAL or open-source GIS tools is a plus- Familiarity with cloud systems (AWS/Google Cloud) and cloud infrastructure is a plus- Experience with high performance or large scale computing infrastructure might be helpful- Coding ability in R or Python. - Self-directed team player who thrives in a continually changing environmentWhat is on offer :- High impact role in a young start up with colleagues from IITs and other Tier 1 colleges- Chance to work on the cutting edge of ML (yes, we do train Neural Nets on GPUs) - Lots of freedom in terms of the work you do and how you do it - Flexible timings - Best start-up salary in industry with additional tax benefits

Looking for a technically sound and excellent trainer on big data technologies. Get an opportunity to become popular in the industry and get visibility. Host regular sessions on Big data related technologies and get paid to learn.