Offer summary

Qualifications:

5+ years of experience in AI/ML engineering with a strong focus on Python, SQL, and NoSQL databases., Proficiency in machine learning frameworks such as Scikit-learn, PyTorch, and TensorFlow, along with experience in fine-tuning LLMs., Familiarity with cloud platforms like AWS, GCP, and Azure, including model deployment and CI/CD pipelines., Strong research mindset and ability to work in agile remote teams, with a focus on aligning AI solutions with business outcomes..

Key responsibilities:

Design and implement scalable AI/ML systems using cloud platforms and managed services.

Fine-tune large language models and integrate with OpenAI APIs for generative AI applications.

Develop and maintain CI/CD pipelines for machine learning workflows.

Collaborate with cross-functional teams to align AI solutions with business objectives and emerging trends.

With over 25 years of expertise, CloudRay is a trailblazer in IT Consulting, IT Staffing, and Industrial Staffing solutions. Our founder's profound industry knowledge forms the cornerstone of our success across these three domains. In IT development, we excel in Software Application Design, Architecture and Integration, Software Sourcing, and Project Management, setting a global standard for consultant-provided software solutions. Complementing our top-tier services, CloudRay proudly offers Professional consulting in Infrastructure Management, SAP Data Management, Information Management Systems, and Custom Application Development, Support, and Maintenance. Specializing in versatile Industrial Staffing, we cater to roles ranging from assembly line workers to warehouse associates, prioritizing excellence in the dynamic industrial landscape. Serving several clients and industry leaders in Healthcare, Oil & Gas, Hospitals, Pharmaceuticals, our onshore/offshore global service model ensures unparalleled service accessibility, adapting to clients' individual needs with exceptional availability matching the quality of our service.

Job description

Position: AI/ML Engineer – Cloud & Generative AI
Experience: 5+ years
Work Mode: Remote
Budget: 60K(Flexible for exceptional profiles)
Technical Skills & Expertise
• Programming:
o Expert-level Python (5+ years) – pandas, NumPy, Scikit-learn, FastAPI
o Strong in SQL and NoSQL (MongoDB, DynamoDB)
• Machine Learning & Deep Learning:
o Hands-on with Scikit-learn, PyTorch, and TensorFlow
o Fine-tuning LLMs using frameworks like HuggingFace Transformers
o Experience with Agentic AI workflows (e.g., LangChain, AutoGPT)
• Cloud Platforms:
o AWS (SageMaker, Bedrock), GCP (Vertex AI, Gemini), Azure AI Studio
o Model deployment using managed services and containers (Docker, ECS, Cloud Run)
o CI/CD pipelines for ML (GitHub Actions, SageMaker Pipelines, Vertex Pipelines)
• OpenAI & Generative AI:
o Prompt engineering, retrieval-augmented generation (RAG), embeddings
o Integration with OpenAI APIs and model fine-tuning (Davinci, GPT-4-turbo, Gemini)

Soft Skills & Mindset
• Strong research mindset and hunger to explore emerging trends (RLHF, SLMs, foundation models)
• Proven experience working in fast-paced, agile remote teams
• Architecture mindset – capable of designing scalable AI/ML systems
• Business-first thinking – aligns AI solutions with real-world outcomes

Required profile