Multiple Openings:

[Vasu Naidu]

Hello,

Greetings for the day.

I am trying to reach you for the below position .Please let me know your interest in taking the new positions or else please refer your colleagues or friends who are looking for a job change.

Note: 13+ Years Exp Required

Position:1

Position :- Lead Data Engineer(Independent Visa's Only) 

Location: Remote

Visa::(Only Visa independent consultants)

Duration: Long-Term Contract

Data Analytics is looking for Data Product Engineer to help build cloud-based Data Products

Position Responsibilities:

• Design and implement semantic models that facilitate data understanding and usage across various business functions.
• Collaborate with cross-functional teams to gather requirements and translate business needs into effective data models.
• Utilize AWS services, particularly Data Zone, to build and manage data pipelines and semantic layers.
• Leverage ontology tools such as dbt products, QuickSight, AtScale, and DataWalk to enhance data visualization and reporting capabilities.
• Develop and maintain a metric store with knowledge graph capabilities to ensure data quality and enable data lineage as part of data governance.
• Create and maintain data models for data lake house architecture, ensuring alignment with best practices in data governance and quality.
• Conduct data analysis and provide insights to support decision-making processes within the organization.
• Stay updated with industry trends and emerging technologies related to data modeling and semantic layers.

Basic Qualifications (Required Skills/Experience):

• 8+ years of experience as a data engineer. Strong understanding of AWS,, Data Products, and datalake. 
• Proven experience in data modeling, particularly for semantic layers in a business-facing role.
• Strong understanding of data products and their applications within a data lake house architecture.
• Experience in developing a metric store with knowledge graph capabilities to enhance data quality and lineage.
• Excellent communication skills, with the ability to convey complex data concepts to non-technical stakeholders.
• Strong analytical and problem-solving skills, with a focus on delivering actionable insights.

Mandatory Skills:

• Hands-on experience with AWS, specifically in implementing Data Zone and related services.
• Handson experience with any ontology tools such as dbt Labs, QuickSight, AtScale, or DataWalk.

Typical Education & Experience:

• Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 8 -10 years' related work experience or an equivalent combination of education and experience (e.g. Master 8 years' related work experience.)

Position:2

Role : AI/ML Engineer

Location: Research Triangle Park, NC(Onsite)

Duration: Long-Term Contract

Description

1) AI/ML Engineer Job Summary
We are seeking a skilled Generative AI/ML Engineer to join our team. The ideal candidate will be responsible for setting up AI/ML infrastructure, designing, and developing classifiers and agents, implementing LangChain, and building . The role end to end workflow orchestration requires a strong foundation in both development and MLOps practices to support AI enablement applications.

Minimum Qualification
Experience with Gen AI and Machine Learning development (Transformers, Reinforcement learning, ETL, Data Engineering, Data Processing PyTorch, Model Operations, AI Frameworks e.g. Langchain or similar)
Design and implement scalable infrastructure to support AI applications.
Develop and deploy machine learning classifiers and intelligent agents.
Ability to preprocess and clean data for training AI models.

Required Qualifications:
Proven experience in AI and machine learning, infrastructure setup, and DevOps practices.
Utilize LangChain or other framework for effective language model applications.
Apply best practices in both AI development and MLOps to ensure efficient and reliable operations.
Experienced in MCP integration, building a Multi Mode Router Agent.
Connect and manage databases to ensure seamless data flow and accessibility.
Experience with designing and developing AI classifiers and agents.
Knowledge of NLP techniques and tools, which are often used in developing intelligent agents and language models.
Experience in cloud based infrastructure for AI applications is a plus.
Familiarity with version control systems and CI/CD pipelines.