NLP ENGINEER

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

• 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.

Behavioral 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

Job Description 

Data scientist with strong background in data mining, machine learning, recommendation systems, and statistics. Should possess signature strengths of a qualified mathematician with ability to apply concepts of Mathematics, Applied Statistics, with specialization in one or more of NLP, Computer Vision, Speech, Data mining to develop models that provide effective solution.. A strong data engineering background with hands-on coding capabilities is needed to own and deliver outcomes. 

A Master’s or PhD Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 7+ years of industry experience in predictive modelling, data science and analysis, with prior experience in a ML or data scientist role and a track record of building ML or DL models. 

Responsibilities and skills: 

● Work with our customers to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. 

● Selecting features, building and optimizing classifiers using ML techniques ● Data mining using state-of-the-art methods, create text mining pipelines to clean & process large unstructured datasets to reveal high quality information and hidden insights using machine learning techniques 

● Should be able to appreciate and work on Computer Vision problems – for example extract rich information from images to categorize and process visual data— Develop machine learning algorithms for object and image classification, Experience in using DBScan, PCA, Random Forests and Multinomial Logistic Regression to select the best features to classify objects. 

OR 

● Deep understanding of NLP such as fundamentals of information retrieval, deep learning approaches, transformers, attention models, text summarisation, attribute extraction, etc. Preferable experience in one or more of the following areas: recommender systems, moderation of user generated content, sentiment analysis, etc. 

OR 

● Speech recognition, speech to text and vice versa, understanding NLP and IR, text summarisation, statistical and deep learning approaches to text processing. Experience of having worked in these areas.

Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Needs to appreciate deep learning frameworks like MXNet, Caffe 2, Keras, Tensorflow 

● Experience in working with GPUs to develop models, handling terabyte size datasets ● Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, mlr, mllib, Scikit-learn, caret etc - excellence in at least one of these is highly desirable ● Should be able to work hands-on in Python, R etc. Should closely collaborate & work with engineering teams to iteratively analyse data using Scala, Spark, Hadoop, Kafka, Storm etc., 

● Experience with NoSQL databases and familiarity with data visualization tools will be of great advantage

The duration of this internship is _1___ month.

Igeeks is India's no.1 internship platform with 10000+ internships in Engineering, MBA, Commerce & Management, and other streams. Igeeks is here to help bridge

the gap between a students’ classroom environment and their workplace atmosphere.

Igeeks provide internship training on latest cutting edge technologies in the industry for easy placements of students. We provide hands-on experience on our real

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Igeeks provides uniquely designed learning experiences with certified internship program in india for engineering students.

As per University standards igeeks technologies offering internships For B.E Students (ECE / TCE / EEE / CSE / ISE / MECH) . Registrations are already started

for Intern in Embedded With IOT , Intern in IOT , Intern in JAVA , Intern in Python ML. Interested students can contact us

Internship will be conducted as per industry standards and it will be completely hands on training.

INTERNSHIP/ INDUSTRIAL TRAINING

DURATION 4 WEEKS.

Internship cum Training program schedule:

8 January 2024

BENEFITS:

TRAINING FROM INDUSTRY EXPERTS

WORK ON REAL TIME PROJECTS

COMPANY CERTIFICATION

HANDS ON EXPERIENCE

PROJECT REPORT MATERIALS.

MINI PROJECT

8TH SEM IEEE PROJECT ASSISTANCE

Registration:

Registration started from 15/12/2023

How to register?

Igeeks Internship WhatsApp Group

Interested candidates *join the WhatsApp group* to know more information

https://chat.whatsapp.com/EUUtZlYSvrbGPxSTUKEJCA

Igeeks Internship Application Form,Fill the Application

https://forms.gle/pGA8KDDiLSWxdTnf9

For more information refer official website here: www.igeekstechnologies.com

Responsibilities:

• Identify relevant data sources - a combination of data sources to make it useful.
• Build the automation of the collection processes.
• Pre-processing of structured and unstructured data.
• Handle large amounts of information to create the input to analytical Models.
• Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
• Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
• Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
• Participate in Problem solving sessions

Requirements:

• Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
• Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
• Strong math skills (e.g. statistics , algebra)
• Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
• Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
• Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com

Required Skills:

Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia

Responsibilities include: 

• Convert the machine learning models into application program interfaces (APIs) so that other applications can use it
• Build AI models from scratch and help the different components of the organization (such as product managers and stakeholders) understand what results they gain from the model
• Build data ingestion and data transformation infrastructure
• Automate infrastructure that the data science team uses
• Perform statistical analysis and tune the results so that the organization can make better-informed decisions
• Set up and manage AI development and product infrastructure
• Be a good team player, as coordinating with others is a must

• Demonstrate ability in NLP/ML/DL project solutions and architectures.
• Strong ability in developing NLP tool and end to end solutions.
• Minimum 1 year of experience in text cleaning, data wrangling, and text mining.
• Good understanding of Rule-based, statistical, and probabilistic NLP techniques.
• Collaborate with analytics team members to design, implement, and develop enterprise-level NLP capabilities, including data engineering, technology platforms, and algorithms.
• Good knowledge of NLP approaches and concepts like topic modelling, text summarization, semantic modelling, Named Entity recognition, etc.
• Evaluate and benchmark the performance of different NLP systems and provide guidance on metrics and best practices.
• Test and deploy promising solutions quickly, managing deadlines and deliverables while applying latest research and techniques.
• Collaborate with business stakeholders to effectively integrate and communicate analysis findings across NLP solutions.

Key Technical Skills:

• Hands on experience in building NLP models using different NLP libraries and toolkit like NLTK, Stanford NLP, TextBlob, OCR etc.
• Strong programming skills in Python
• Good to have programming skill: Java/Scala/C/C++.
• Strong problem solving, logical and communication skills.

Tags: Natural Language Processing (NLP), Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Toolkit (NLTK), Analytics

Company Overview:

At Codvo, software and people transformations go hand-in-hand. We are a global empathyled technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.

Required Skills (Technical):

•  Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like TensorFlow, Theano, Kera’s, Pytorch.
•  Proficiency with modern statistical modelling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies.
• Building complex predictive models using ML and DL techniques with production quality code and jointly own complex data science workflows with the Data Engineering team.
• Familiarity with modern data analytics architecture and data engineering technologies (SQL and No-SQL databases).
• Knowledge of REST APIs and Web Services
• Experience with Python, R, sh/bash

Required Skills (Non-Technical):

• Fluent in English Communication (Spoken and verbal)
• Should be a team player
• Should have a learning aptitude
• Detail-oriented, analytically.
• Extremely organized with strong time-management skills
• Problem Solving & Critical Thinking