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. 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 Visit https://energyexemplar.com/ for more information.
About usAikon Labs Pvt Ltd is a start-up focused on Realizing Ideas. One such idea is iEngage.io , our Intelligent Engagement Platform. We leverage Augmented Intelligence, a combination of machine-driven insights & human understanding, to serve a timely response to every interaction from the people you care about.Get in touch If you are interested. Do you have a passion to be a part of an innovative startup? Here’s an opportunity for you - become an active member of our core platform development team.Main Duties● Quickly research the latest innovations in Machine Learning, especially with respect toNatural Language Understanding & implement them if useful● Train models to provide different insights, mainly from text but also other media such as Audio and Video● Validate the models trained. Fine-tune & optimise as necessary● Deploy validated models, wrapped in a Flask server as a REST API or containerize in docker containers● Build preprocessing pipelines for the models that are bieng served as a REST API● Periodically, test & validate models in use. Update where necessaryRole & RelationshipsWe consider ourselves a team & you will be a valuable part of it. You could be reporting to a Senior member or directly to our Founder, CEOEducational QualificationsWe don’t discriminate. As long as you have the required skill set & the right attitudeExperienceUpto two years of experience, preferably working on ML. Freshers are welcome too!SkillsGood● Strong understanding of Java / Python● Clarity on concepts of Data Science● A strong grounding in core Machine Learning● Ability to wrangle & manipulate data into a processable form● Knowledge of web technologies like Web server (Flask, Django etc), REST API'sEven better● Experience with deep learning● Experience with frameworks like Scikit-Learn, Tensorflow, Pytorch, KerasCompetencies● Knowledge of NLP libraries such as NLTK, spacy, gensim.● Knowledge of NLP models such as Wod2vec, Glove, ELMO, Fasttext● An aptitude to solve problems & learn something new● Highly self-motivated● Analytical frame of mind● Ability to work in fast-paced, dynamic environmentLocationPuneRemunerationOnce we meet, we shall make an offer depending on how good a fit you are & the experience you already have
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 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 (in the text mining, NLU, classification models, recommendation models) 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 will need to work on everything from getting data, to cleaning it, to creating models, to integrating them and to continuously improve them. Will you be okay with it?4. You want to see your work actually making an impact on our user's life.Interested? Let's talk!
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.
We are looking for a full-stack developer with 3+ years of experience in NodeJS and frontend technologies like HTML/CSS/JS + ReactJS + VueJS- Strong Coding Skills- Experience building scalable products- 3+ years of experience in NodeJS with an understanding of callbacks, async/await, promises, asynchronous functions, usage of third-party libraries, ExpressJS, PassportJS etc- Good command over Data Structure, Algorithms - Experience working with NoSQL & SQL Databases like Mysql, MongoDB, ElasticDB, Redis etc- Good design skills - The ability to produce bug-free and production-grade code - Knowledge of Go, Docker and kuberneates is a plus. Personality:Go to attitudeTenacious and hungry to make a nameWilling to learn and adaptWilling to work on weekends if need beFilled with curiosity and not afraid to ask questionsThink independently and be open-minded to possibilitiesWe don't hire just for the sake of it, we hire the best people, and trust them to do what’s right! With your knowledge and experience, you will work closely with product managers, user experience developers, creative designers and software engineers using multi variant testing, analytics, usability testing and good old common sense to help make the key decisions with the development of the platform.If you answered yes to most, if not all the statements above and want to develop a platform with global reach using a multitude of technologies, then lets have a chat! Do not apply:If you are looking for a regular 9 to 5 jobIf you are not willing to give your best.If you do not enjoy working in fast pace startupIf you are not comfortable in doing a job you aren't hired forIf you need someone to explain you every single detail Job Perks:Best hardware including multiple screensPossible bonus based on performance at the end of year & esopsAccess to one on one mentors and any learning material you need.15 min Declutter break. No internet, talking or reading. Immerse yourself in silence and observe pure being.
Whom we are looking for:After becoming a sustainable Startup, We have now refocused our Technology teams to work exclusively on client technologies while embarking on the journey of multi-tenant, friction-less, global, cloud-based & scalable products. We are currently re-engineering and rebranding our Startup to take the next leap. If you have worked on large scale tech products, have keen professional pride in delivering top quality products to users and love to code and can coach/mentor and upskill other engineers then you will love this position.If you have worked either in Reg-Tech and/or Risk-Tech, there is a big chance we are made for each other. Our Hiring Philosophy:• Can do Attitude. • Learning/Growth Mindset.• Willing to start small and build a talented team along the way.• Commitment to Excellence and Dedication. Roles and Responsibility:• Lead the entire back-end and front-end technology team and act as the go-to resource with in-depth knowledge of technology and product best practices and standards.• Build scalable backend product architecture that scales through millions of transactions per day.• Build support systems for monitoring, billing, administration, etc. • Acting as a single person of contact for the entire product vertical and liaising with the business team to aid the business needs.• Directly Responsible for the user experience on the platform. Willingness to learn new technologies as required and able to incorporate machine-learning, AI and Big data as the product evolves.• Responsible for validating the technical feasibility of product ideas, and suggesting likely technical platforms and build-buy options for such ideas.• Plan and set up a smooth development cycle for getting features from user stories to products.• Responsible for building deep tech products related to Face Biometrics, Image Forensics, and Risk Analysis. Skills Required:Must have:• Candidate with minimum 5-10 years of solid tech experience, preferably in a growing Start-up.• Proven Experience in leading the full cycle of mobile (Android/IOS) and web application development processes, from design to implementation.• Well-versed with tech stacks like Node, Python, Java and/or other latest languages.• Proven ability to build a solid team and thrive in a dynamic environment.• Experience with performance testing and optimization of the application for maximum speed and scalability.• Great analytical skills, data-driven decision making and evolution with technology trends.• Stronghold in backend development and algorithms.• Experience with Machine Learning and Data Analysis. Good to have:• Exposure to financial risk modeling is a plus. • Exposure to Image Processing is a plus.• Exposure to the blockchain is a plus. The right candidate should be commercially knowledgeable (business acumen) and pragmatic, and have an understanding of a wide range of technologies and methodologies, and should have the ability to choose which fits best. Experience building a technology team or work with a small team from start at a start-up is a plus.
Job Description: The Data Engineering team is one of the core technology teams of Lumiq.ai and is responsible for creating all the Data related products and platforms which scale for any amount of data, users, and processing. The team also interacts with our customers to work out solutions, create technical architectures and deliver the products and solutions. If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how a customer can use our products, then Lumiq is the place of opportunities. Who are you? Enthusiast is your middle name. You know what’s new in Big Data technologies and how things are moving Apache is your toolbox and you have been a contributor to open source projects or have discussed the problems with the community on several occasions You use cloud for more than just provisioning a Virtual Machine Vim is friendly to you and you know how to exit Nano You check logs before screaming about an error You are a solid engineer who writes modular code and commits in GIT You are a doer who doesn’t say “no” without first understanding You understand the value of documentation of your work You are familiar with Machine Learning Ecosystem and how you can help your fellow Data Scientists to explore data and create production-ready ML pipelines Eligibility At least 2 years of Data Engineering Experience Have interacted with Customers Must Have Skills: Amazon Web Services (AWS) - EMR, Glue, S3, RDS, EC2, Lambda, SQS, SES Apache Spark Python Scala PostgreSQL Git Linux Good to have Skills: Apache NiFi Apache Kafka Apache Hive Docker Amazon Certification
• 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
We are looking to hire passionate Java techies who will be comfortable learning and working on Java and any open source frameworks & technologies. She/he should be a 100% hands-on person on technology skills and interested in solving complex analytics use cases. We are working on a complete stack platform which has already been adopted by some very large Enterprises across the world. Candidates with prior experience of having worked in typical R&D environment and/or product based companies with dynamic work environment will be have an additional edge. We currently work on some of the latest technologies like Cassandra, Hadoop, Apache Solr, Spark and Lucene, and some core Machine Learning and AI technologies. Even though prior knowledge of these skills is not mandatory at all for selection, you would be expected to learn new skills on the job.
We are looking for Freelance online Data Scientist Trainers who can work with us part - time with the following skills: Experience using statistical computer languages (R, Python etc.) to manipulate data and draw insights from large data sets. Should have strong programming & Good applied statistics skills, such as distributions, statistical testing, regression, etc. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Few examples are k-NN, Naive Bayes, SVM, Decision Forests,Random Forest ,Support vector machine,Principal component analysis. Experience using natural language processing techniques and Deep Learning using TensorFlow will be a plus. Should have minimum 5 years of relevant work experience.
I am building a social platform for learning validation that aims to change how individuals become credible for their skills without depending on any institution to certify them. I am currently looking for a passionate and technical CTO who can share in my vision and is motivated to take on what i can promise is going to be one of the most challenging and important problems of our time.