Generative AI Engineer - Machine Learning & Deep Learning (3-10 yrs)

Title: Generative AI Engineer

Experience: 5+ years

Work Location: Remote

Notice Period: Immediate to 30 Days Max only

We are currently hiring a highly skilled and motivated Generative AI Engineer to join our talented engineering team. As a Generative AI Engineer, you will be responsible for developing and implementing cutting-edge generative AI models to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance our products and services.

Main Responsibilities of a Generative AI Engineer

Your main responsibilities will include:

- Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.

- Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.

- Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.

- Optimizing existing generative AI models for improved performance, scalability, and efficiency.

- Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.

- Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.

- Contributing to the establishment of best practices and standards for generative AI development within the organization.

- Providing technical mentorship and guidance to junior team members.

Key Requirements of a Generative AI Engineer:

- You have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.

- You have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.

- You are proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.

- You have strong knowledge of data structures, algorithms, and software engineering principles.

- You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.

- You have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.

- You are familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.

- You have knowledge of software development methodologies, such as Agile or Scrum.

- You possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.

- You have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.

- You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.

Your Knowledge & Skills:

- 5+ years of experience as a ML engineer/software developer

- Strong programming skills in Python and familiarity with data science toolkits, such as Pandas, Scikit-learn, TensorFlow, PyTorch, LangChain

- Experience in building RAG applications and/or working with embeddings / vector databases

- Experience in utilizing machine learning, especially generative models in solutions that made it to production

- Proven track record in data driven evaluation of algorithms, models and/or technologies

- Experience with cloud services (Azure, AWS, GCP)

- Excellent understanding of algorithm design and data structures

- Team player with great communication skills, who can also work independently and methodically

- Highly motivated to solve real-world problems and create high impact products

- Someone who's always up for a challenge never backs down, and brings a 'can do' vibe to everything they do

- Honest curiosity and passion for the current genAI revolution

Nice to have:

- Degree in computer science, software engineering, mathematics, physics, statistics, or a similar scientific field

- Familiarity with frontend frameworks, such as React and Angular

- Experience with open-source LLM models and training of the LLM models.

- Work experience with Azure Databricks for model deployment, versioning, and artifacts management, demonstrating proficiency in maintaining ML models' lifecycle and ensuring efficient, version-controlled deployment processes.