Nallas Corporation


Gen AI

Exp required: 5+ years experience with AI/ML (2+ years in Gen AI)    

Job Description:

We are seeking a skilled General AI Engineer with at least 5 years of experience to join our dynamic team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning techniques.  As a general AI engineer, you will play a crucial role in developing, implementing, and maintaining advanced AI systems that drive innovation and solve complex problems. You will collaborate with cross-functional teams to design and deploy AI solutions that enhance products and services, leveraging your expertise to push the boundaries of what AI can achieve.

Skills and Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field; Master’s or Ph.D.         
  • Proficiency in programming languages such as Python (preferred) or R.
  • Strong understanding of neural networks, deep learning frameworks (TensorFlow, PyTorch), and other AI techniques.         
  • Excellent problem-solving skills and ability to think critically about complex technical challenges.         
  • Should have experience in accessing Hugging Face, TensorFlow Hub, Kaggle sites.         
  • Experience with natural language processing (NLP), computer vision, or reinforcement learning is a plus.         
  • Proven track record of delivering successful AI projects from conception to deployment.    

Roles and Responsibilities: 

  • Develop and implement cutting-edge AI algorithms and models to solve complex problems. 
  • Design, build, and deploy scalable AI systems that deliver value to the organization.
  • Collaborate with cross-functional teams to gather requirements and understand business needs.
  • Conduct research to stay up-to-date with the latest advancements in AI and machine learning.
  • Optimize AI models for performance, scalability, and efficiency. 
  • Provide technical guidance and mentorship to junior team members. 
  • Work closely with product managers and stakeholders to define project goals and milestones. 
  • Evaluate and select appropriate tools and technologies for AI development and deployment. 
  • Participate in code reviews, testing, and debugging to ensure high-quality AI solutions.
  • Stay informed about industry best practices and emerging trends in AI and machine learning. 
  • Communicate complex technical concepts to non-technical stakeholders.

Must-have skill sets: 

  • Expertise in Python, Data Structures, and API Calls- Solid foundation for working with generative AI models and frameworks.         
  • Strong Communication Skills (Documentation & Presentations)- Ability to clearly document/present complex technical concepts for both technical and non-technical audiences.         
  • Effective Teamwork and Solo Work- Collaborate effectively on large projects while also possessing the ability to independently drive research and development efforts.         
  • Data Mining and Text Processing- Extract valuable insights from various data sources to train and improve generative models.         
  • Building RAG Pipelines (Highly Desired) – Demonstrated experience building retrieval-augmented generation pipelines, a key technique in generative AI.         
  • Machine Learning (ML), Natural Language Processing (NLP), Generative Adversarial Networks (GANs), Transformers & BERT flavors, Hugging Face Model Implementation and Fine-Tuning:         
  • Solid understanding of these core concepts for generative AI development. 
  • Hands-on Experience with Vector Databases: Experience with Chroma DB, PineCone, Milvus, FAISS, Arango DB for data storage and retrieval relevant to generative AI projects. 
  • Collaboration- Ability to collaborate effectively with Business Analysts (BAs), Development Teams, and DevOps teams to bring generative AI solutions to life.
  • Hands-on Experience of Embedded Models: Familiarity with deploying generative models on resource-constrained devices can be a significant asset.
  • Ex: Open AI – Ada Embedding 002 model         
  • Experience with POC Tools (Streamlit, Gradio) – Ability to rapidly prototype and showcase generative AI concepts.
  • Cloud Experience (AWS Bedrock or similar)-Expertise in managing and deploying large-scale generative AI models on cloud platforms with basic knowledge such as EC2, ECS, ECR, S3, Sagemaker etc.
  • Expertise in Specific LLMs (Any one deep knowledge in OpenAI, Jurassic-1 Jumbo, LLAMA, mistral, Mixtral, Gemma, Gemini Pro) – In-depth knowledge of a particular LLM may be required depending on the specific project focus.
Job Category: Gen AI
Job Type: Full Time
Job Location: Remote

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