Want to shape the future of Energy through Data Science? We have the data and if you have got the skills to unlock the patterns behind how a little change in one input parameter can have so much impact on the optimized Energy output parameters, like energy price. The Energy Exemplar (EE) data team is looking for an experienced Applied ML Data Scientist to join our Pune office. The data team is committed to helping EE customers keep a check on how heat rate, capacity expansion and daily unit commitment are subject to variations in demand, renewables, gas price, etc. There are lots of such use cases. By continuously gathering and analysing data, and by working with organizations inside and outside EE, the data team stays agile to combat evolving challenges. Our mission is to help advice customers and systems with industry-leading proactive optimal predictions, and engage in valuable partnerships. As a dedicated Data Scientist on our Research team, you will apply data science and your machine learning expertise to enhance our intelligent systems to predict and provide proactive advice. You’ll work with the team to identify and build features, create experiments, vet ML models, and ship successful models that provide value additions for hundreds of EE customers. At EE, you’ll have access to vast amounts of energy-related data from our sources. Our data pipelines are curated and supported by engineering teams (so you won't have to do much data engineering - you get to do the fun stuff.) We also offer many company-sponsored classes and conferences that focus on data science and ML. There’s great growth opportunity for data science at EE. Responsibilities Monitor and analyse data to uncover optimization gaps Develop high-performance algorithms, machine learning models, or other methodologies to close optimization gaps. Identify performant features and models and make them universally accessible to our teams across EE. Provide technical leadership to our team by reviewing problem sets, proposing prediction models, and reviewing experiments and models. Act as a resident expert for machine learning, statistics, and experiment design. Qualifications 5+ years of professional experience in experiment design and applied machine learning predicting outcomes in large-scale, complex datasets. Proficiency in Python, Azure ML, or other statistics/ML tools. Proficiency in Deep Neural Network, Python based frameworks. Proficiency in Azure DataBricks, Hive, Spark. Proficiency in deploying models into production (Azure stack). Moderate coding skills. SQL or similar required. C# or other languages strongly preferred. Outstanding communication and collaboration skills. You can learn from and teach others. Strong drive for results. You have a proven record of shepherding experiments to create successful shipping products/services. Experience with prediction in adversarial (energy) environments highly desirable. Understanding of the model development ecosystem across platforms, including development, distribution, and best practices, highly desirable. A Masters or Ph.D degree with coursework in Statistics, Data Science, Experimentation Design, and Machine Learning highly desirable
Responsibilities:· Partners with business stakeholders to translate business objectives into clearly defined analytical projects.· Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques to the specific business problem and then build the models that solve the problem.· Own the end-end process, from recognizing the problem to implementing the solution.· Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.· Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.Skills and Qualifications:· 3 years + of experience.· An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.· Experience with text mining, parsing, and classification using state-of-the-art techniques.· Experience with information retrieval, Natural Language Processing, Natural Language Understanding and Neural Language Modeling.· Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.· Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, Gensim, etc.· Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.· Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.
Role and Responsibilities Execute data mining projects, training and deploying models over a typical duration of 2 -12 months. The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution. Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android). Core QualificationsCandidates must meet ALL of the following qualifications: Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period. Three years of industry work experience, developing data mining models which were deployed and used. Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas. Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks Bonus QualificationsAny of the following extra qualifications will make a candidate more competitive: Soft Skills Sets expectations, develops project plans and meets expectations. Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function. Technical skills Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered. Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product. Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job. Shrinking deep learning models, optimizing to speed up execution time of scoring or inference. OpenCV or other image processing tools or libraries Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations. Decision trees like XGBoost or Random Forests is helpful. Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP). Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN) Experience with PMML is of interest (see www.DMG.org). Vertical experience in Industrial Internet of Things (IoT) applications: Energy: Oil and Gas, Wind Turbines Manufacturing: Motors, chemical processes, tools, automotive Smart Cities: Elevators, cameras on population or cars, power grid Transportation: Cars, truck fleets, trains About FogHorn SystemsFogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications. Press: https://www.foghorn.io/press-room/ Awards: https://www.foghorn.io/awards-and-recognition/ 2019 Edge Computing Company of the Year – Compass Intelligence 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020) 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research 2018 The 10 Most Innovative AI Solution Providers – Insights Success 2018 The AI 100 – CB Insights 2017 Cool Vendor in IoT Edge Computing – Gartner 2017 20 Most Promising AI Service Providers – CIO Review Our Series A round was for $15 million. Our Series B round was for $30 million October 2017. Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive. About the Data Science Solutions teamIn 2018, our Data Science Solutions team grew from 4 to 9. We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects. About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining. Our data scientists like our team because: We care about “best practices” Have a direct impact on the company’s revenue Give or receive mentoring as part of the collaborative process Questions and challenging the status quo with data is safe Intellectual curiosity balanced with humility Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning
The selected would be a part of the inhouse Data Labs team. He/she would be responsible to creation insights-driven decision structure.This will include:ScorecardsStrategiesMISThe verticals included are:RiskMarketingProduct
Major Roles and Responsibilities:● Collaborate with team members to develop new models to be used forclassification problems● Responsible for software profiling, performance tuning and analysis, and othergeneral software engineering tasks● Use independent judgment to take existing data and build new models from it● Collaborate and provide technical guidance● Coming up with new ideas,rapid prototyping and converting prototypes intoscalable products● Conducting experiments to assess the accuracy and recall of languageprocessing modules and to study the effect of such experiences● Improving existing models and create a self learning systems.● Stakeholder management and leadership● Decision making and problem solvingManagerial activites like Team Handling, performance management, Team Building, Work allocation. Key Success Factors● Extensive experience with Hadoop and Machine learning algorithms● Exposure to Deep Learning, Neural Networks, or related fields and a stronginterest and desire to pursue them● Experience in Natural Language Processing, Computer Vision, Machine Learningor Machine Intelligence (Artificial Intelligence)● Passion for solving NLP problems● Experience with specialized tools and project for working with natural languageprocessing● Programming experience in Python● Knowledge of machine learning frameworks like Tensorflow● Experience with software version control systems like Github● Fast learner and be able to work independently as well as in a team environmentwith good written and verbal communication skillsEducation and Experience● B. E. / B. Tech / Masters in Computer Science● Strong in academics and good aptitude● Excellent communication skills with a flair to learn quickly● 6-10 years of relevant experience● Research and implement novel machine learning and statistical approaches● Prior exposure of product development would be an added advantage
Innoplexus offers Data as a Service and Continuous Analytics as a Service product, leveraging Artificial Intelligence and advanced analytics to help reduce the time to market, significantly.Our products leverage proprietary algorithms and patent-pending technologies to help global Life sciences & Financial services organizations with access to relevant data, real-time intelligence & intuitive insights, across the life cycle of the products.We automate the collection, curation, aggregation, analysis & visualization, of billions of data points from thousands of data sources, using domain-specific language processing, ontologies, computer vision, machine learning, network analysis and more.Location: PuneRequired qualification MS in Computer Science, Statistics, Applied Maths or related domain.Key Responsibilities:- Use machine learning & deep learning techniques to create new, scalable solutions for business problems.- Develop NLP & computer vision-based tools and technologies for acquiring, parsing, interpreting and visualizing unstructured data- Analyze and extract relevant information from large amounts of data to help in automating the solutions and optimizing key processes.- Help the team in building large scale continual/online learning system.- Help team to build experimentation to the production pipeline.- Stay current with the latest research and technology and communicate your knowledge throughout the enterprise- Come up with patentable ideas that provide us a competitive advantage.Required Experience:- Strong track record in AI / ML publications in renowned scientific journals or conferences.- Experience in any of the following: Computer Vision, Image Processing, Speech- Recognition, Natural Language Understanding, Machine Learning, Deep Learning, HCI,- Text Mining, Computational Genomics, Bioinformatics, other Machine Intelligence/Artificial Intelligence related areas.- Programming experience in one or more of the following: C, C++, Python.
Job Description: Roles & Responsibilities: · You will be involved in every part of the project lifecycle, right from identifying the business problem and proposing a solution, to data collection, cleaning, and preprocessing, to training and optimizing ML/DL models and deploying them to production. · You will often be required to design and execute proof-of-concept projects that can demonstrate business value and build confidence with CloudMoyo’s clients. · You will be involved in designing and delivering data visualizations that utilize the ML models to generate insights and intuitively deliver business value to CXOs. Desired Skill Set: · Candidates should have strong Python coding skills and be comfortable working with various ML/DL frameworks and libraries. · Hands-on skills and industry experience in one or more of the following areas is necessary: 1) Deep Learning (CNNs/RNNs, Reinforcement Learning, VAEs/GANs) 2) Machine Learning (Regression, Random Forests, SVMs, K-means, ensemble methods) 3) Natural Language Processing 4) Graph Databases (Neo4j, Apache Giraph) 5) Azure Bot Service 6) Azure ML Studio / Azure Cognitive Services 7) Log Analytics with NLP/ML/DL · Previous experience with data visualization, C# or Azure Cloud platform and services will be a plus. · Candidates should have excellent communication skills and be highly technical, with the ability to discuss ideas at any level from executive to developer. · Creative problem-solving, unconventional approaches and a hacker mindset is highly desired.
• Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them. • Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence). • Programming experience in Python. • Knowledge of machine learning frameworks like Tensorflow. • Experience with software version control systems like Github. • Understands the concept of Big Data like Hadoop, MongoDB, Apache Spark
Description Must have Direct Hands- on, 4 years of experience, building complex Data Science solutions Must have fundamental knowledge of Inferential Statistics Should have worked on Predictive Modelling, using Python / R Experience should include the following, File I/ O, Data Harmonization, Data Exploration Machine Learning Techniques (Supervised, Unsupervised) Multi- Dimensional Array Processing Deep Learning NLP, Image Processing Prior experience in Healthcare Domain, is a plus Experience using Big Data, is a plus Should have Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly Should be well familiar with Agile Project Management Methodology Should have excellent written and verbal communication skills Should be a team player with open mind
Description Does solving complex business problems and real world challenges interest you Do you enjoy seeing the impact your contributions make on a daily basis Are you passionate about using data analytics to provide game changing solutions to the Global 2000 clients Do you thrive in a dynamic work environment that constantly pushes you to be the best you can be and more Are you ready to work with smart colleagues who drive for excellence in everything they do If you possess a solutions mindset, strong analytical skills, and commitment to be part of a tremendous journey, come join our growing, global team. See what Saama can do for your career and for your journey. Position: Data Scientist (2255) Location: Hinjewadi Phase 1, Pune Type: Permanent Full time Responsibilities: Work on small and large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about the client s business and develop methods to leverage that knowledge for their business. Identify and solve business challenges working closely with cross-functional teams, such as Delivery, Business Consulting, Engineering and Product Management. Develop prescriptive and predictive statistical, behavioral or other models via machine learning and/ or traditional statistical modeling techniques, and understand which type of model applies best in a given business situation. Drive the collection of new data and the refinement of existing data sources. Analyze and interpret the results of product experiments. Provide input for engineering and product teams as they develop and support our internal data platform to support ongoing statistical analyses. Requirements: Candidates should demonstrate following expertize- Must have Direct Hands-on, 7 years of experience, building complex systems using any Statistical Programming Language (R / Python / SAS) Must have fundamental knowledge of Inferential Statistics Should have worked on Predictive Modelling Experience should include the following, o File I/ O, Data Harmonization, Data Exploration o Multi-Dimensional Array Processing o Simulation & Optimization Techinques o Machine Learning Techniques (Supervised, Unsupervised) o Artificial Intelligence and Deep Learning o Natural Language Processing o Model Ensembling Techniques o Documenting Reproducible Research o Building Interactive Applications to demonstrate Data Science Use Cases Prior experience in Healthcare Domain, is a plus Experience using Big Data, is a plus. Exposure to SPARK is desirable Should have Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly Should be well familiar with Agile Project Management Methodology Should have experience of managing multiple simultaneous projects Should have played a team lead role Should have excellent written and verbal communication skills Should be a team player with open mind Impact on the business: Plays an important role in making Saama s Solutions game changers for our strategic partners by using data science to solve core, complex business challenges. Key relationships: Sales & pre-sales Product management Engineering Client organization: account management & delivery Saama Competencies: INTEGRITY: we do the right things. INNOVATION: we change the game. TRANSPARENCY: we communicate openly COLLABORATION: we work as one team PROBLEM-SOLVING: we solve core, complex business challenges ENJOY & CELEBRATE: we have fun Competencies: Self-starter who gets results with minimal support and direction in a fast-paced environment. Takes initiative; challenges the status quo to drive change. Learns quickly; takes smart risks to experiment and learn. Works well with others; builds trust and maintains credibility. Planful: identifies and confirms key requirements in dynamic environments; anticipates tasks and contingencies. Communicates effectively; productive communication with clients and all key stakeholders communication in both verbal and written communication. Stays the course despite challenges & setbacks. Works well under pressure. Strong analytical skills; able to apply inductive and deductive thinking to generate solutions for complex problems
To introduce myself I head Global Faculty Acquisition for Simplilearn. About My Company: SIMPLILEARN is a company which has transformed 500,000+ carriers across 150+ countries with 400+ courses and yes we are a Registered Professional Education Provider providing PMI-PMP, PRINCE2, ITIL (Foundation, Intermediate & Expert), MSP, COBIT, Six Sigma (GB, BB & Lean Management), Financial Modeling with MS Excel, CSM, PMI - ACP, RMP, CISSP, CTFL, CISA, CFA Level 1, CCNA, CCNP, Big Data Hadoop, CBAP, iOS, TOGAF, Tableau, Digital Marketing, Data scientist with Python, Data Science with SAS & Excel, Big Data Hadoop Developer & Administrator, Apache Spark and Scala, Tableau Desktop 9, Agile Scrum Master, Salesforce Platform Developer, Azure & Google Cloud. : Our Official website : www.simplilearn.com If you're interested in teaching, interacting, sharing real life experiences and passion to transform Careers, please join hands with us. Onboarding Process • Updated CV needs to be sent to my email id , with relevant certificate copy. • Sample ELearning access will be shared with 15days trail post your registration in our website. • My Subject Matter Expert will evaluate you on your areas of expertise over a telephonic conversation - Duration 15 to 20 minutes • Commercial Discussion. • We will register you to our on-going online session to introduce you to our course content and the Simplilearn style of teaching. • A Demo will be conducted to check your training style, Internet connectivity. • Freelancer Master Service Agreement Payment Process : • Once a workshop/ Last day of the training for the batch is completed you have to share your invoice. • An automated Tracking Id will be shared from our automated ticketing system. • Our Faculty group will verify the details provided and share the invoice to our internal finance team to process your payment, if there are any additional information required we will co-ordinate with you. • Payment will be processed in 15 working days as per the policy this 15 days is from the date of invoice received. Please share your updated CV to get this for next step of on-boarding process.
We are a startup looking to redefine how education is perceived and as such believe in a strong independent motivation to learn new things and we look for the same in our employees. The job of the senior developer will bleed in to all aspects of the product cycle not limited to his/her area of expertise and will be expected to have the ability to adapt and learn rapidly on very short iterations of product cycles. Since we are in the early stages we will offer exciting ESOPs to our early employees as well. Cover letters are so old fashioned. Show us who you are with a cover-letter-video. Upload your video to youtube or vimeo. We look forward to meeting you.