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
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.
Hiring a smart, creative tech-wizard with excellent communication and leadership skills, who is fascinated to build high end software. We are looking for someone who is flexible, adaptive, loves to tackle new challenges and thrives to solve them using the latest technologies available in the market. You must be self-motivated, a go-getter, out of box thinker and ready to work in a high-energy start-up environment. You must demonstrate high level of ownership, integrity and leadership skills. You play an important role in shaping the product which is going to be used by millions of people around the world, having the potential to be next Facebook or Instagram. Responsibilities: 1. Be the bridge between technology team and the business having a true “roll up the sleeves and get it done” working approach 2. Develop and maintain long-term architecture and ensure alignment with the business objectives 3. Establish architectural, technical standards and processes ensuring adherence from the team 4. Provide technical leadership to the Product Development team by being primary technology influencer. 5. Review technical design documents and provide constructive rational feedback. 6. Work closely with the team at all levels to solve technical challenges including being hands on if required 7. Evaluate and identify appropriate technology solutions to meet business and technology challenges. 8. Ensure scalability, security, reliability, performance and cost effectiveness 9. Keep abreast of evolving technologies and how those may benefit our business. Anticipate technological evolution that could be leveraged to enhance current architectures or used to design new ones.