Scikit-Learn Jobs in Bangalore (Bengaluru)

Roles and Responsibilities We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Responsibilities Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress 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 Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Perform statistical analysis Train and retrain systems Work on frameworks Undertaking machine learning experiments and test Must-Have Skills: Proficiency with a deep learning framework such as TensorFlow, Keras, or PyTorch Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Familiarity with Linux Hands-on experience with SageMaker and other AWS services. Ability to select hardware to run an ML model with the required latency 6+ Months of experience working with Apache Tinkerpop - Gremlin-based Graph databases. 2+ years of experience working with NLP/unstructured data processing - documents, text, Images-Text OCR 5+ years of experience with Python programming language Good To Have: Hands-on experience with any of the Graph databases: AWS Neptune, Janus Graph, Neo4j Good understanding and strong knowledge of algorithms and statistics Appreciation of data modeling, software architecture, and data structures and Reasonable communication skills Finally, a demonstrated experience of working in Machine Learning Jobs before is an added advantage

Who are we and What do we do?Hypersonix Inc. is an Intel funded, fast-growing AI startup founded by established business leaders and fortified by the support of notable clients and investors. hX is leveraging AI advancements in NLP, Machine learning, Intelligence Automation to enable real-time decisioning for marketing & sales. We are on a mission to disrupt a trillion$ global commerce market How the team looks like?• Coming out of the silos and working with complete visibility of the end-to-end product focusing on commerce. • Flexibility to work on any areas of your choice Machine learning/Business Analytics/Development in Tech terms - Building and managing robust Insight based Platform, Efficient Data pipelines/ streaming systems, integrated user interfaces.• Be part of the small and high impacting team• Opportunity to take bigger roles/responsibilities at early stage• Be part of re-designing the whole Business Intelligence products to make it more optimized and powerful and solve the business problems for commerce• Good opportunities to use your Data Science, Machine/Deep learning skills on solving practical problemsWhat will you be doing?• Responsible for design, architecture, and delivery of a feature or component/product with the highest quality.• Driving innovations in the platform constantly & remaining ahead of the curve• Collaborates effectively with cross functional teams to deliver end-to-end products & features• Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements• Provide functional, design, and code reviews in related areas of expertise with-in team and cross-team.• Analyze and extract relevant information from large amounts of data to help automate and optimize key processes• Design, development, evaluate and deploy innovative and highly scalable models for predictive learning• Research and implement novel machine learning and statistical approaches• Work closely with software engineering teams to drive real-time model implementations and new feature creations• Work closely with business owners and operations staff to optimize various business operations• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation• Mentors/coaches engineers to facilitate their development and provide technical leadership to them• Rises above detail to see broader issues and implications for whole product/team.What do we expect from you?• A BS/MS/PhD in Computer Science or Machine learning or Operational research or Statistics or in a highly quantitative field

Job Roles & Responsibilities Designing and developing machine learning and deep learning systems Running machine learning tests and experiments Implementing appropriate ML algorithms Study and transform data science prototypes Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Skills Required  :  Proven experience as a Machine Learning Engineer or similar role 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) Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills Qualification : BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus

We’re building our Engineering team at Assembly, a fast-growing start-up based in Los Angeles and Bangalore! Our recognition and rewards platform offers organizations a better way to engage employees and drive organizational culture. About you We are looking for our very first Data Scientist to join the team and contribute to the evolving Assembly product offering. You will be responsible for building state of the art ML models to improve product usage to our customers. You are passionate about company culture. You love challenging yourself to constantly improve, and you share your knowledge to empower others. You are self-directed and scrappy, able to solve problems effectively without compromising the product. You look beyond the surface to understand the root causes so that you can build long-term solutions for the whole ecosystem. And finally, you enjoy being a part of a small but mighty team with a mission of changing the way companies engage their employees! Job Description We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products. Some early projects you will work on and not limited to: Build a system for automated fraud detection and analyze sentences to give value to our customers. Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending the company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance Requirements Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests. Experience with common data science toolkits, such as Notebook, Sagemaker, Weka, NumPy, Scikit. Excellence in at least one of these is highly desirable Great communication skills Experience on state of the art models Roberta, GPT etc is a huge plus Good applied statistics skills, such as distributions, statistical testing, regression, etc. Data-oriented personality

Data Scientist : Pluto7 is a services and solutions company focused on building ML, Ai, Analytics, and IoT tailored solutions to accelerate business transformation.We are a Premier Google Cloud Partner, servicing Retail, Manufacturing, Healthcare, and Hi-Tech industries. We are a Google premium partner in AI & ML, which means you'll have the opportunity to work and collaborate with folks from Google. Are you an innovator, have a passion to work with data and find insights, have the inquisitive mind with the constant yearning to learn new ideas; then we are looking for you.As a Pluto7 Data Scientist engineer, you will be one of the key members of our innovative artificial intelligence and machine learning team. You are expected to be unfazed with large volumes of data, love to apply various models, use technology to process and filter data for analysis. Responsibilities: Build and Optimize Machine Learning models. Work with large/complex datasets to solve difficult and non-routine analysis problems, applying advanced analytical methods as needed. Build and prototype data pipelines for analysis at scale. Work cross-functionally with Business Analysts and Data Engineers to help develop cutting edge and innovative artificial intelligence and machine learning models. Make recommendations for selections on machine learning models. Drive accuracy levels to the next stage of the given ML models. Experience in developing visualisation and User Good exposure in exploratory data analysis Strong experience in Statistics and ML algorithms. Minimum qualifications: 2+ years of relevant work experience in ML and advanced data analytics(e.g., as a Machine Learning Specialist / Data scientist ). Strong Experience using machine learning and artificial intelligence frameworks such as Tensorflow, sci-kit learn, Keras using python. Good in Python/R/SAS programming. Understanding of Cloud platforms like GCP, AWS, or other. Preferred qualifications: Work experience in building data pipelines to ingest, cleanse and transform data. Applied experience with machine learning on large datasets and experience translating analysis results into business recommendations. Demonstrated skills in selecting the right statistical tools given a data analysis problem. Demonstrated effective written and verbal communication skills. Demonstrated willingness to both teach others and learn new techniques Work location : Bangalore