GenAI - Data Scientist

BLACKSTRAW L.L.C.
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote

Tech stack

Midjourney
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Python
Machine Learning
Open Source Technology
TensorFlow
Search Technologies
PyTorch
Retrieval-Augmented Generation
Large Language Models
Prompt Engineering
Deep Learning
Generative AI
Build Management
Containerization
Kubernetes
Information Technology
HuggingFace
Machine Learning Operations
Stable Diffusion
Api Design
GPT
Docker

Job description

We are looking for a Generative AI Engineer who can design, develop, and implement advanced, * Develop and fine-tune generative models (e.g., GPT, LLaMA, Claude, Stable Diffusion) for

text, image, audio, or video generation.

  • Design and build end-to-end GenAI pipelines, from data collection and preprocessing to

model training, evaluation, and deployment.

  • Integrate LLMs and multimodal AI models into production systems using frameworks like

LangChain, LlamaIndex, or OpenAI APIs.

  • Conduct RAG (Retrieval-Augmented Generation) implementations for enterprise use

cases.

Requirements

multimodal AI systems. The ideal candidate should have a strong background in machine

learning, deep learning, and prompt engineering, along with hands-on experience in deploying, * Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field.

  • 4+ years of experience in ML/DL engineering with at least 3+ years in Generative AI

applications.

  • Strong knowledge of Python and ML frameworks such as PyTorch or TensorFlow.

  • Experience with LLMs (e.g., OpenAI, Anthropic, Mistral, LLaMA) and open-source

libraries (LangChain, Hugging Face Transformers, etc.).

  • Understanding of prompt engineering, embeddings, vector databases (e.g., FAISS,

Pinecone, Weaviate, Milvus).

  • Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps best practices.

  • Strong problem-solving, research, and analytical skills.Good to Have

  • Experience with diffusion or image generation models (e.g., Stable Diffusion,

Midjourney, DALL·E).

  • Exposure to multimodal systems combining text, vision, and speech.

  • Exposure to Azure services like Azure AI foundry, AI search etc.

  • Knowledge of API development, containerization (Docker, Kubernetes), and CI/CD

pipelines.

  • Contributions to open-source AI projects or research publications in NLP/GenAI.

Key traits:

  • Should have excellent communication skills.

  • Should be self motivated and willing to work as part of a team.

  • Should be able to collaborate and coordinate with team members onshore and offshore.

  • Be a problem solver and be proactive to solve the challenges that come his way.

About the company

Blackstraw.ai is an end-to-end technology services company specializing in Artificial Intelligence (AI) and Engineering solutions across Data Science, Data Engineering, LLM/GenAI and LLMOps. Founded in 2018, we help global enterprises across North America, Europe and Asia to build and operationalize AI systems that create measurable business impact. Our mission is to make AI adoption simpler, faster and scalable through a blend of deep domain expertise, reusable accelerators and proven engineering practices. With a 400+ strong team of engineers, data scientists and AI specialists, we partner with organizations to deliver real-world outcomes in areas such as predictive analytics, computer vision, natural language processing and Generative AI. At Blackstraw.ai, we're passionate about solving complex business challenges through intelligent automation, modern data architectures and next-gen AI applications enabling enterprises to move from AI experimentation to transformation. Headquartered in Florida (USA) with operations in Canada and India, Blackstraw.ai continues to empower global enterprises to unlock the true potential of AI.

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