Data Scientist

Job Description

Data scientist with a 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 specialisation 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 organisation.
• Selecting features, building and optimising 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 categorise 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

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

• 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 visualisation tools will be of great advantage.

- Modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, mining, and visualization techniques

- Experience working with business understanding the requirement, creating the problem statement, and building scalable and dependable Analytical solutions

- Must have hands-on and strong experience in Python

- Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning

- Strong analytical & algorithm development skills

- Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining, etc

- Ability to collaborate across teams and strong interpersonal skills

Skills

- Sound theoretical knowledge in ML algorithm and their application

- Hands-on experience in statistical modeling tools such as R, Python, and SQL

- Hands-on experience in Machine learning/data science

- Strong knowledge of statistics

- Experience in advanced analytics / Statistical techniques – Regression, Decision trees, Ensemble machine learning algorithms, etc

- Experience in Natural Language Processing & Deep Learning techniques 

- Pandas, NLTK, Scikit-learn, SpaCy, Tensorflow

Chatbot Developer

We are a Conversational AI- Product Development company which is located in the USA, Bangalore.

We are looking for a Senior Chatbot /Javascript Developer to join the Avaamo PSG(delivery) team.

Responsibilities:

• Independent team member for analyzing requirements, designing, coding, and implementing  Conversation AI products.
• Its a  product expert work closely with IT Managers and Business Groups to gather requirements and translate those into the required technical solution.
• Drive solution implementation using the Conversational design approach.
• Develop, deploy and maintain customized extensions to the Avaamo platform-specific to customer requirements.
• Conduct training and technical guidance sessions for partner and customer development teams.
• Evaluating reported defects and the correction of prioritized defects.
• Travel onsite to customer locations for close support.
• Document how to's and implement best practices for Avaamo product solutions.

Requirements:

• Strong programming experience in javascript, HTML/CSS.
• Experience of creating and consuming REST APIs and SOAP services.
• Strong knowledge and awareness of Web Technologies and current web trends.
• Working knowledge of Security in Web applications and services.
• experience in using the NodeJS framework with good understanding of the underlying architecture.
• Experience of deploying web applications on Linux servers in production environment.
• Excellent communication skills.

Good to haves:

• Full stack experience UI and UX design experience or insights
• Working knowledge of AI, ML and NLP.
• Experience of enterprise systems integration like MS Dynamics CRM, Salesforce, ServiceNow, MS Active Directory etc.
• Experience of building Single Sign On in web/mobile applications.
• Ability to learn latest technologies and handle small engineering teams.

Srijan Technologies is hiring for Delivery Manager - Data Science/Data Engineering
with a permanent WFH option.

Notice: Immediate joiners or candidates with 30 days of notice period are preferred.

Required Skills/Experience:
        • Overall Experience of 10+ years in the Industry
        • Good experience in Agile methodology
        • Experience in delivering Data engineering and data integration  		    projects is a must
        • Experience in delivering Analytical programs is a must
        • Experience in delivering AI / ML projects will be an added advantage
        • Analytical skills
        • Well-developed interpersonal skills
        • Commercial awareness
        • Effective Communication
        • Team working skills
        • Ability to motivate people
        • Management and leadership skills