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UltraGenius

Generative AI developer

We are currently seeking a talented Senior Generative AI Engineer to join our dynamic team. An ideal candidate would be someone who has hands-on working experience with diffusion models, GANs and Transformers. As a leading platform in the field of 3D visualization and content creation (images, videos, AR viewers, and product configurators), we are looking to enhance our capabilities by integrating the power of AI and machine learning. This role will involve developing and implementing advanced machine-learning algorithms and models to empower our customers in creating realistic content efficiently. Together we will be working on multiple projects like 3D Model Generation using single product image, Product Image Generation with Custom Backgrounds.

 

Key Responsibilities


  • Design, develop and implement state-of-the-art machine-learning algorithms and models to enhance our platform's capabilities and enable customers to create realistic content more efficiently.

  • Utilize AI techniques to enable content generation through various modalities, including text, images, and drawings.

  • Conduct thorough research, staying up-to-date with the latest advancements in machine learning and AI, and integrating them into our platform where appropriate.

  • Document research findings, methodologies, and implementations in clear and concise reports and presentations

  • Collaborate with our cross-functional team to integrate machine-learning models into our existing infrastructure, ensuring seamless deployment and scalability.

Requirements

 


  • Total Experience of 5+ years and 3+ years relevant experience in developing and training Generative AI models.

  • Must have a solid understanding of Generative AI models, including GANs, Diffusion models, Transformers.

  • Solid understanding of machine-learning principles, algorithms, and techniques, with hands-on experience in developing and implementing machine-learning models.

  • Proficiency in training image-based machine-learning models, with a proven track record of successfully applying them to real-world problems.

  • Proficient in programming languages commonly used in machine learning, such as Python.

 

Good to have


  • Prior experience in the field of 3D modelling, rendering, or computer graphics would be a plus.

  • In-depth knowledge of computer vision algorithms, & image processing techniques.

  • Experience with common computer vision tasks, such as object detection, image segmentation, and tracking

  • Familiarity with languages like C++ and MATLAB, which are often employed in machine learning research and development would be an add-on.

Benefits


  • Build products from scratch and be part of decision-making.

  • Remote work mode

  • Open culture with flexible timings

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UltraGenius

AI Lead

Job Description:

We are seeking a highly skilled AI Solutions Lead to spearhead the design, development, and implementation of AI-based solutions, including chatbots and large language models. The ideal candidate will have 5-7 years of experience in AI and machine learning, with a focus on developing recommendation systems and personalization. This role involves collaborating with cross-functional teams, overseeing the AI project lifecycle, and mentoring junior developers and data scientists.

 

Key Responsibilities:

 


  1. Lead the design, development, and implementation of AI-based solutions, including chatbots and large language models.

  2. Collaborate with cross-functional teams to identify AI opportunities and integrate AI solutions into various products and services.

  3. Oversee the entire AI project lifecycle, from initial concept to deployment and maintenance.

  4. Develop and optimize machine learning algorithms and models to enhance the performance and capabilities of AI systems.

  5. Stay updated with the latest advancements in AI and machine learning technologies and incorporate them into the organization’s AI strategy.

  6. Mentor and guide junior AI developers and data scientists, fostering a culture of continuous learning and innovation.

  7. Ensure the scalability, reliability, and security of AI systems.

  8. Conduct thorough testing and validation of AI models to ensure accuracy and effectiveness.

  9. Communicate AI strategies, progress, and results to stakeholders and senior management.

 

Mandatory Requirements:


  1. 5-7 years of experience in AI and machine learning, with a strong focus on developing chatbots and building large language models.

  2. Strong experience with recommendation systems and personalization.

  3. Proven experience with popular AI frameworks and libraries such as TensorFlow, PyTorch, huggingface, transformers, and Keras.

  4. Good grasp of prompt engineering techniques.

  5. Strong programming skills in languages such as Python, or Java.

  6. In-depth knowledge of natural language processing (NLP) techniques and technologies.

  7. Experience with data preprocessing, feature engineering, and model evaluation.

  8. Strong problem-solving skills and attention to detail.

  9. Excellent communication and leadership skills.

  10. Experience with cloud platforms such as AWS for deploying AI models.

  11. Flexibility to work and collaborate with global teams during EST and PST time zones.

 

Optional Requirements:


  1. Knowledge of big data technologies like Hadoop, Spark, or Kafka.

  2. Familiarity with training open-source LLMs with LoRA etc

  3. Previous experience in a lead or managerial role.

  4. Publications or contributions to AI research.

 

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UltraGenius

Sr. AI Engineer

Shift Timings: 2 PM IST to 11 PM IST

Location: Remote

Notice Period- immediate.



Summary: We are looking for a Senior AI Engineer, a seasoned professional with over 7+ years of experience in AI/ML engineering. The role primarily focuses on designing, developing, and deploying AI solutions to extract insights from large datasets. Strong Python coding skills, expertise in AI/ML libraries, and proficiency with cloud platforms (Microsoft Azure, AWS or GCP) are essential. The candidate should possess hands-on experience in data processing, including data cleaning, preprocessing, and feature engineering. Additionally, expertise in NLP techniques, large language models, and SQL/NoSQL databases is required.The candidate is expected to comply with the company's policies and procedures.

 

Must-have Skills:


  • Relevant Experience: 7+ years in AI/ML engineering

  • Strong Python Coding Skills: Proficient in Python, with a focus on AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)

  • Experience with Data Processing: Hands-on experience with Databricks related to data cleaning, preprocessing, and feature engineering

  • Cloud Platforms: Must have experience with Microsoft Azure AI


  • Machine Learning Models: Experience in training, fine-tuning, and deploying machine learning models

  • Natural Language Processing (NLP): Expertise in NLP techniques and libraries (e.g., NLTK, SpaCy, transformers)

  • Large Language Models (LLMs): Familiarity with integrating and fine-tuning LLMs

  • SQL/NoSQL Databases: Strong experience with databases and data retrieval

  • Data Visualization: Ability to create meaningful visualizations to communicate insights (e.g., using tools like Power BI, Tableau, Matplotlib, Seaborn)

  • Problem-solving Skills: Excellent analytical and problem-solving abilities

  • Communication Skills: Strong written and verbal communication skills to convey technical concepts to non-technical stakeholders

  • The candidate is expected to comply with the company's policies and procedures.

 

Good-to-have Skills:


  • Vector Databases: Experience working with vector databases for semantic search and similarity matching

  • Containerization: Experience with containerization technologies like Docker and Kubernetes

  • Big Data Tools: Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop)

  • AI Ethics and Fairness: Understanding of ethical considerations and best practices in AI

Responsibilities:


  • Design, develop, and deploy AI solutions to extract insights from large datasets

  • Work with stakeholders to identify key business problems and determine how AI can address them

  • Implement and optimize machine learning models and algorithms

  • Collaborate with data engineers to ensure data pipelines are robust and scalable

  • Create dashboards and reports to communicate findings to business stakeholders

  • Stay up-to-date with the latest AI trends and technologies to continually enhance solution offerings

Preferred Qualifications:


  • Bachelor's Degree in IT, Computer Science or related field

  • Certifications: Relevant certifications in AI/ML or cloud computing

  • Experience in a domain-specific AI application (Restaurant or Payment or Loyalty or Surveys)

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