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Batish Technologies Pty Ltd


Generative AI Engineer
Batish Technologies Pty Ltd • India • via LinkedIn
8 hours ago
Full–time
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Job description
Job Description – Generative AI Developer – Enterprise Solutions:

As a Generative AI Developer, you will design, develop, and deploy advanced generative AI models to solve intricate business problems. Your expertise in machine learning, natural language processing, and generative algorithms will be pivotal in creating solutions that enhance operational efficiency, foster innovation, and deliver substantial value to our clients.

Key Responsibilities:
• AI Model Development: Design and build generative AI models tailored to enterprise needs, including natural language generation, image synthesis, and data augmentation.
• Data Management: Collect, preprocess, and manage large datasets to train and fine-tune AI models, ensuring high data quality and relevance.
• Integration: Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, ensuring seamless deployment.
• Performance Optimization: Monitor and enhance the performance of AI models, focusing on accuracy, efficiency, and scalability.
• Research and Innovation: Stay updated on the latest advancements in generative AI and machine learning, and incorporate new techniques and technologies into our solutions.
• Documentation: Create and maintain comprehensive documentation for AI models, development processes, and integration guidelines.
• Client Interaction: Engage with clients to understand their needs, provide technical guidance, and deliver customized AI solutions.
• Troubleshooting: Identify and resolve technical issues related to AI models and their deployment to minimize business disruption.

Qualifications:
• Education: Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Advanced degrees (Master’s or PhD) are a plus.
• Experience: 3+ years of experience in developing and deploying generative AI models, with a strong portfolio of relevant projects.

Technical Skills:
• Generative AI Expertise:
• Proficiency in generative models like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and diffusion models.
• Experience with NLP models such as transformers (e.g., GPT, BERT) for tasks like text generation and understanding.
• Familiarity with image and video generation techniques, including deepfakes and image-to-image translation.
• Machine Learning and Deep Learning:
• Strong grasp of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
• Proficiency with deep learning frameworks such as TensorFlow, PyTorch, Keras, and Hugging Face Transformers.
• Programming Languages:
• Advanced skills in Python for AI model development and data manipulation.
• Experience with other programming languages like JavaScript, TypeScript, Java, or C++ for application development and integration.
• Data Handling and Processing:
• Expertise in data collection, preprocessing, and augmentation.
• Experience with big data technologies and platforms (e.g., Hadoop, Spark) and working with APIs and data ETL from enterprise systems (e.g., Azure, AWS, GCP, SAP, Salesforce).
• Web Development:
• Front end development experience using frameworks like React, Angular, or Vue.js.
• Back-end development experience with technologies such as Node.js, Django, or Flask.
• Database Management:
• Proficiency in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Redis).
• Understanding of data modeling and schema design.
• Cloud Platforms and DevOps:
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying and scaling AI models.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Familiarity with CI/CD pipelines and version control systems like Git.
• Security and Compliance:
• Understanding of security best practices for protecting AI models and data.
• Knowledge of data privacy regulations (e.g., GDPR, CCPA) and AI compliance requirements.

Soft Skills:
• Problem-Solving:
• Strong analytical skills to address complex technical challenges and optimize AI solutions.
• Communication:
• Effective communication skills for collaborating with teams, explaining technical concepts to non-technical stakeholders, and documenting work.
• Project Management:
• Ability to manage projects from inception through deployment, including scope management, timeline tracking, and resource allocation.
• Adaptability:
• Willingness to learn and adapt to new technologies and methodologies in the evolving field of AI.
• Team Collaboration:
• Experience working in agile development environments and collaborating with diverse teams, including data scientists, developers, and business analysts.

Interested Candidates can share their CV on Rajat.singh@batishtechnologies.com
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Netflix


Data Entry Specialist (Remote - Part Time) at Netflix
Netflix • United Kingdom • via The Elite Job
13 hours ago
$20–$30 an hour
Full–time and Part-time
No Degree Mentioned
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Job description
Netflix, a global streaming giant, revolutionizes the entertainment industry with its diverse range of movies, TV shows, documentaries, and original content. Known for its innovation and commitment to quality, Netflix has become a household name, providing unparalleled entertainment experiences to millions of subscribers worldwide.
Position: Data Entry Specialist (Remote - Part Time)
Company: Netflix
Job Overview:

As a Data Entry Specialist at Netflix, you will play a crucial role in maintaining and updating our extensive database, ensuring accurate and timely entry of essential information. This remote, part-time position offers an exciting opportunity to contribute to the backbone of our content management system.
Responsibilities:
• * Perform data entry tasks with precision and efficiency.
• * Update and maintain databases with a keen eye for accuracy.
• * Collaborate with cross-functional teams to ensure seamless data flow.
• * Handle confidential information with the utmost discretion.
• * Meet deadlines and targets for data entry projects.
• Required Skills:
• * Proficient in data entry with a high level of accuracy.
• * Excellent attention to detail and organizational skills.
• * Strong communication skills for effective collaboration.
• * Ability to work independently and manage time efficiently.
• * Tech-savvy with a good understanding of data management systems.
• * Previous experience in data entry or related roles is a plus.
• How to Apply:

To apply for the position of Data Entry Specialist at Netflix, please submit your resume and a cover letter detailing your relevant experience and skills to Netflix Careers Page.