As a Web Developer, you will be responsible for developing web applications using Angular 2+ and creating user interfaces for modern Rich Internet Applications. Your role will involve performing product analysis, making design and technical decisions for Angular projects, and ensuring high performance. You will also be writing tested and documented JavaScript, HTML, and CSS code, developing application code along with unit tests, and working with the latest front-end technologies like Angular. To excel in this role, you should have 2-5 years of experience in developing applications using Angular 2+ and possess strong expertise in HTML, CSS, and writing cross-browser compatible code. Knowledge of Angular CLI, experience with RESTful services, and proficiency in JavaScript build tools like grunt or gulp are essential. Additionally, familiarity with testing frameworks such as Jasmine and test runner framework like Karma will be beneficial. The ideal candidate for this position is an immediate joiner with a salary expectation that matches their skillset and experience. If you have a passion for web development and possess the required skills, we encourage you to apply for this opportunity.,
You will be responsible for applying Natural Language Processing (NLP) AI techniques, conducting machine learning, and developing high-quality prediction systems for data classification. Your main tasks will include presenting information through data visualization techniques, as well as collecting, preprocessing, and harmonizing data. As a part of your role, you will develop applications in machine learning and artificial intelligence, while selecting features, building, and optimizing classifiers using machine learning techniques. Understanding business objectives and creating models to support them, along with relevant metrics to monitor progress, will be crucial. You will need to manage available resources efficiently, such as hardware, data, and personnel, to ensure project deadlines are met. Your responsibilities will also involve analyzing various ML algorithms to identify the most suitable ones for solving a specific problem and ranking them based on success probability. Exploring and visualizing data to comprehend it better, detecting variations in data distribution that could impact model performance in real-world deployment, and verifying data quality through cleaning processes will be essential. You will supervise the data acquisition process if additional data is required, search for relevant datasets online for training purposes, define validation strategies, and determine pre-processing or feature engineering on datasets. Furthermore, you will be involved in defining data augmentation pipelines, training models, tuning hyperparameters, analyzing model errors, and developing strategies to address them. Deployment of models to production environments will also be a key aspect of your role. As a desired candidate, you should possess a strong understanding of machine learning (ML) and deep learning (DL) algorithms, as well as an architectural comprehension of CNN and RNN algorithms. Experience with NLP data models and libraries, entity extraction using NLP, and proficiency in tools like TensorFlow, scikit-learn, and spaCy is required. Additionally, familiarity with transfer learning, scripting and programming skills in Python and Streamlit, common data science toolkits such as NumPy and Fast.AI, and various machine learning techniques and algorithms like k-NN, Naive Bayes, and SVM is essential. Proficiency in query languages, applied statistics skills, data wrangling, data exploration, as well as tools like Tableau and DataPrep will be advantageous. The ideal candidate will be an immediate joiner with no restrictions on salary for the right individual.,
As a Sales and Business Development Specialist, your role involves researching organizations and individuals online to identify new leads and potential markets. You will be contacting potential clients via email or phone calls, establishing rapport, and setting up meetings. Working closely with senior team members, you will manage risks, maintain client relationships, identify new market opportunities, and contribute to revenue and profit growth. Key Responsibilities: - Research organizations and individuals online to generate new leads - Contact potential clients via email or phone calls to establish rapport and set up meetings - Work with senior team members to identify and manage risks - Maintain relationships with clients and address their needs effectively - Identify new market opportunities and contribute to revenue growth - Conduct market competitive analysis to develop sales strategy - Collaborate with the team to achieve short and long term revenue and profit growth Qualifications Required: - 3-5 years of experience in a technical domain - Graduated from a Science stream - Passionate about sales and business development - Strong communication and IT fluency - Creative problem-solving skills - Knowledge of the IT service industry and current trends - Ability to handle pressure and meet deadlines - Skill in prioritizing and triaging obligations - Attention to detail and excellent time management In addition to the above, preference will be given to candidates from the legal, manufacturing, transport and logistics/supply chain management, knowledge process outsourcing/insurance/BPO, contractual organizations/educational institution, and healthcare industries. Immediate joiners are preferred, and salary is negotiable for the right candidate.,
As a Machine Learning Engineer at our company, your primary focus will be applying Natural Language Processing (NLP) AI techniques, conducting machine learning tasks, and developing high-quality prediction systems for data classification. You will also be responsible for presenting information through data visualization techniques and undertaking data collection, preprocessing, and harmonization. **Roles and Responsibilities:** - Develop applications in machine learning and artificial intelligence - Select features, build, and optimize classifiers using machine learning techniques - Understand business objectives and develop models to achieve them, along with tracking progress metrics - Manage available resources like hardware, data, and personnel to meet deadlines - Analyze ML algorithms for solving problems and rank them based on success probability - Explore and visualize data to gain insights, identify differences in data distribution that may impact model performance in real-world deployment - Verify data quality through data cleaning and supervise data acquisition process if necessary - Find and utilize available datasets for training - Define validation strategies, pre-processing, and feature engineering for datasets - Define data augmentation pipelines - Train models, tune hyperparameters, analyze model errors, and design strategies to overcome them - Deploy models to production **Desired Candidate Profile:** - Sound understanding of ML and DL algorithms - Architecture-level understanding of CNN and RNN algorithms - Experience with NLP data models and libraries - Good understanding of entity extraction using NLP - Hands-on experience with TensorFlow, scikit-learn, spaCy libraries, etc. - Knowledge of transfer learning - Strong scripting and programming skills in Python and Streamlight - Experience with data science toolkits such as Python, NumPy, Transformers, Fast.AI, etc. - Excellent understanding of machine learning techniques and algorithms like k-NN, Naive Bayes, SVM, Decision Forests, etc. - Proficiency in using query languages - Strong applied statistics skills including distributions, statistical testing, regression, etc. - Data-oriented personality with experience in Data Wrangling and Data Exploration - Experience with Tableau and DataPrep is a plus If you are an immediate joiner with the required expertise, there is no bar on salary for the right candidate.,