Rivendell Technologies Inc
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Machine Learning (ML)ML Engineer
HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.
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Responsibilities:
- Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
- Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
- Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
- Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
- Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
- Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
- Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
- Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
- Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
- Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
- Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
- Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.
Qualifications:
- Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
- Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
- Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
- Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
- Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
- Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
- Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
- Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.
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"Learners Point" refers to several different educational and training institutions, so it's important to clarify which one you're interested in. Here's a breakdown of some prominent ones:
1. Learners Point Academy (Dubai, UAE & India)
- Overview: This is a well-recognized, ISO 9001:2015 certified institute that has been providing corporate and individual training in the MENA region since 2001. They are KHDA-accredited in Dubai and have expanded to India (Bangalore and Kozhikode).
- Mission: To empower individuals and organizations with skills for success in a rapidly changing world through transformative learning experiences.
- Courses Offered: They offer a wide range of certified courses across various domains, including:
- IT: Data Science, AI, Machine Learning, Cybersecurity, UI/UX, Web Development, ERPs (SAP), Microsoft Power Platforms.
- Finance: Certified Management Accountant (CMA), Financial Modeling, IFRS.
- Management & HR: Certified HR Manager (CHRM), Strategic HR Management, Project Management (PMP), Leadership Skills, Business Administration.
- Logistics and Supply Chain: CIPS accreditations.
- Sales and Marketing: Digital Marketing, Social Media Marketing.
- Soft Skills: Communication, Public Speaking, Emotional Intelligence.
- Language Training: Spoken English, Arabic, French, German, Russian.
- Key Features:
- Customized training solutions for individuals and corporates.
- Experienced and qualified trainers.
- Focus on practical, career-oriented skills.
- Accreditations from recognized bodies like KHDA, CPD UK, HRCI, and CIPS.
- Locations:
- Dubai, UAE: Suite 610 - 6th Floor, The Business Center, Opp to Burjuman Centre, Adjacent to Burjuman Metro Station Exit 4, Khalid Bin Walid Street.
- Bangalore, India: No. 460/454, 3rd Floor, HSR Layout, 5th Sector, Teachers Colony, Sarjapura Ring Road, Bangalore, Karnataka.
- Kozhikode, India: 2nd Floor, Agni Arcade, Kodamalikunn Medical College, Thondayad, Kozhikode, Kerala.
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2. Learning Point Foundation (Bangalore, India)
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3. Learners Point Commerce Academy (LPCA) (Gurgaon, India)
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4. The Learning Point (India - various locations/focuses)
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