Freelance Faculty

at Simplilearn Solutions

Posted by STEVEN JOHN

We are looking for a Machine Learning Engineer with 3+ years of experience with a background in Statistics and hands-on experience in the Python ecosystem, using sound  Software Engineering practices. Skills & Knowledge: - Formal knowledge of fundamentals of probability & statistics along with the ability to apply basic statistical analysis methods like hypothesis testing, t-tests, ANOVA etc. - Hands-on knowledge of data formats, data extraction, loading, wrangling, transformation, pre-processing and analysis. - Thorough understanding of data-modeling and machine-learning concepts - Complete understanding and ability to apply, implement and adapt standard implementations of machine learning algorithms - Good understanding and ability to apply and adapt Neural Networks and Deep Learning, including common high-level Deep Learning architectures like CNNs and RNNs - Fundamentals of computer science & programming, especially Data structures (like multi-dimensional arrays, trees, and graphs) and Algorithms (like searching, sorting, and dynamic programming) - Fundamentals of software engineering and system design, such as requirements analysis, REST APIs, database queries, system and library calls, version control, etc. Languages and Libraries: - Hands-on experience with Python and Python Libraries for data analysis and machine learning, especially Scikit-learn, Tensorflow, Pandas, Numpy, Statsmodels, and Scipy. - Experience with R and its ecosystem is a plus - Knowledge of other open source machine learning and data modeling frameworks like Spark MLlib, H2O, etc. is a plus

A research lab with roots laid in innovation, we are looking for someone who can take reins of our AI based development think tank. Given the work ethics and results, the salary can be re-negotiated in 5 months.

Requirement Specifications: Job Title:: Data Scientist Experience:: 7 to 10 Years Work Location:: Mumbai, Bengaluru, Chennai Job Role:: Permanent Notice Period :: Immediate to 60 days Job description: • Support delivery of one or more data science use cases, leading on data discovery and model building activities Conceptualize and quickly build POC on new product ideas - should be willing to work as an individual contributor • Open to learn, implement newer tools\products • Experiment & identify best methods\techniques, algorithms for analytical problems • Operationalize – Work closely with the engineering, infrastructure, service management and business teams to operationalize use cases Essential Skills • Minimum 2-7 years of hands-on experience with statistical software tools: SQL, R, Python • 3+ years’ experience in business analytics, forecasting or business planning with emphasis on analytical modeling, quantitative reasoning and metrics reporting • Experience working with large data sets in order to extract business insights or build predictive models • Proficiency in one or more statistical tools/languages – Python, Scala, R, SPSS or SAS and related packages like Pandas, SciPy/Scikit-learn, NumPy etc. • Good data intuition / analysis skills; sql, plsql knowledge must • Manage and transform variety of datasets to cleanse, join, aggregate the datasets • Hands-on experience running in running various methods like Regression, Random forest, k-NN, k-Means, boosted trees, SVM, Neural Network, text mining, NLP, statistical modelling, data mining, exploratory data analysis, statistics (hypothesis testing, descriptive statistics) • Deep domain (BFSI, Manufacturing, Auto, Airlines, Supply Chain, Retail & CPG) knowledge • Demonstrated ability to work under time constraints while delivering incremental value. • Education Minimum a Masters in Statistics, or PhD in domains linked to applied statistics, applied physics, Artificial Intelligence, Computer Vision etc. BE/BTECH/BSC Statistics/BSC Maths

LeanAgri is looking for a Research Scientist to solve some of the most challenging problems in the field of Agriculture. Our mission and vision is to revolutionize Agriculture in India using technology. Our customers, farmers, constitute of 50% of the Indian workforce accounting for just 13.7% of the GDP. We aim to bring them technology to revolutionize Agriculture in India.   LeanAgri has expertise in creating solutions for Agriculture which are capable of increasing agriculture yields and farmer incomes. We are working on building models for unsolved problems that affect millions of farmers across the world. We want to devise innovative solutions for these problems and employ them to help our customers. Your role You will be working at a chief scientist role where you would be creating enhanced technology for solving problems in Agriculture. The role encompasses designing and executing experiments in Agriculture with help of our sophisticated research farms, and use the generated data to create models which can be employed in the real world. Since your role will require you to closely work with Agriculture systems, you would need to do a lot of research of farming patterns, and effect of biotic and abiotic parameters in Agriculture. The final aim would be to build mathematical models based on all the experiments which can help provide real value to our customers. Does this interest you? If yes, then let’s get you onboard. Requirements Passion about working with interdisciplinary problems, you are not a machine learning or an Agri engineer, you will be a Scientist who would be trying to solve problems in every way possible. Ability to learn and explore, you will be reading hundreds of research papers on Agriculture and Machine learning and trying to build models encompassing both. Can dive deep to create solutions for hard problems. We would be doing innovation unheard of, so expect big challenges. Good mathematical modelling capabilities, and experience with writing some code. We would be giving you problem statements related to Machine learning to see how you analyse and work around to create solutions to those problems.

We are an AI-based education platform, that pushes for directed, focused, smart learning, that helps every individual user at a personal level, with the power of AI. Responsibilities & Skills Required: • Excellent programming skill, being language agnostic and being able to implement the tested out models, into the existing platform seamlessly. • Reinforcement Learning, Natural Language Processing (NLP), Neural Networks, Text Clustering, Topic Modelling, Information Extraction, Information Retrieval, Deep learning, Machine learning, cognitive science, and analytics. • Proven experience implementing and deploying advanced AI solutions using R/Python. • Apply machine learning algorithms, statistical data analysis, text clustering, summarization, extracting insights from multiple data points. • Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised). • Hand on in handling large amounts of structured and unstructured data. Skills Required: Skills: • Visualisation using d3.js, Chart.js, Tableau • Javascript • Python, R, NLP, NLG, Machine Learning, Deep Learning & Neural Networks • CNN • Reinforcement Learning • Unsupervised Learning • Supervised Learning • Deep Neural Networks • Frameworks : Keras/tensorflow

Job Description – Data Scientist About Company Profile Precily is a startup headquartered in Noida, IN. Precily is currently working with leading consulting & law firms, research firms & technology companies. Aura (Precily AI) is data-analysis platform for enterprises that increase the efficiency of the workforce by providing AI-based solutions. Responsibilities & Skills Required: The role requires deep knowledge in designing, planning, testing and deploying analytics solutions including the following: • Natural Language Processing (NLP), Neural Networks , Text Clustering, Topic Modelling, Information Extraction, Information Retrieval, Deep learning, Machine learning, cognitive science and analytics. • Proven experience implementing and deploying advanced AI solutions using R/Python. • Apply machine learning algorithms, statistical data analysis, text clustering, summarization, extracting insights from multiple data points. • Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised). • Hand on in handling large amounts of structured and unstructured data. • Measure, interpret, and derive learning from results of analysis that will lead to improvements document processing. Skills Required: • Python, R, NLP, NLG, Machine Learning, Deep Learning & Neural Networks • Word Vectorizers • Word Embeddings ( word2vec & GloVe ) • RNN ( CNN vs RNN ) • LSTM & GRU ( LSTM vs GRU ) • Pretrained Embeddings ( Implementation in RNN ) • Unsupervised Learning • Supervised Learning • Deep Neural Networks • Framework : Keras/tensorflow • Keras Embedding Layer output Please reach out to us: careers@precily.com

-Precily AI: Automatic summarization, shortening a business document, book with our AI. Create a summary of the major points of the original document. AI can make a coherent summary taking into account variables such as length, writing style, and syntax. We're also working in the legal domain to reduce the high number of pending cases in India. We use Artificial Intelligence and Machine Learning capabilities such as NLP, Neural Networks in Processing the data to provide solutions for various industries such as Enterprise, Healthcare, Legal.

We are looking for smart summer interns in the field of server engineering, data science and machine learning. Requirements: 1. In your chosen internship area, show us your projects and describe the hardest problems you faced and how you solved them. 2. Before applying, solve the Logical Programming test that we have on CutShort. Internship duration: 2-3 months Type: Full time (in office). Remote not available. Stipend: 15K/month Location: Pune PPO: We would love to offer full time roles to outstanding performers

Recruitment has been a weird problem. While companies complain they can't get good talent, there are hordes of talented professionals who are unable to easily find their next big opportunity. At CutShort, we are building an intelligent and tech-enabled platform that removes noise and connects these two sides seamlessly. More than 4000 companies have used our platform to hire 3x more people in 1/3rd the time and professionals get a great experience that just works. As we take CutShort in the next growth phase, we want to make it more intelligent. A big initiative is to use our data to simplify UX, reduce user errors and generate better results for our users. We should talk if: 1. You have at least 1 year of full-time experience in using M/L on real data to get real results. 2. Beyond the tools, you have a sound understanding of the underlying mathematical models. 3. You want to work in a fast growing startup where you can complete ownership and minimal supervision. 4. You want to see your work actually making an impact on our user's life. Interested? Let's talk!

Data may be the new oil, but it takes just as much refining as crude oil. Our data intelligence platform is used by over 150 leaders to make better, data-driven decisions on everything from tracking national programs to pinpointing where to open the next school, health centre or even ice cream store. However, garbage in is garbage out! Our platform runs on data, but one of our biggest challenges is the incoming data's lack of structure and internal standard practices around such diverse datasets. Every partner has a new data format and a set of new data challenges to tackle. It's critical that we move beyond these challenges so we can extract key insights from the data and deliver them to our partners. A Data Associate at SocialCops will be responsible for data modelling, cleaning, structuring, and handling both primary and secondary data sets under the mentorship of our data scientists and economists. As a Data Associate, you will play a key role in converting a variety of messy datasets into clean and structured datasets by creating quality metadata files, running scalable R/Python scripts to model the data, and perform data validations. You will also carry data analysis, create data visualizations, and create data models to make sense of data to power critical decisions. As a Data Associate, you will play a critical role in ensuring that the sanity and quality of decisions made on our platform. With great power comes great responsibility :) If you are more interested in the Research & Analytics work at SocialCops, click here to submit your email and we'll be in touch.