

Sibitalent Corp
Integration Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Integration Lead on a remote contract, requiring 10+ years in software engineering and 5+ years in AI/ML. Key skills include Python, Java, React Native, cloud platforms, and DevOps practices.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 23, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#Azure #Python #Cloud #GitHub #Microservices #Data Ingestion #ML (Machine Learning) #Data Engineering #Java #GCP (Google Cloud Platform) #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #React #AWS (Amazon Web Services) #Documentation #Data Analysis #TypeScript #Scala #DevOps #JavaScript #Programming #API (Application Programming Interface) #REST (Representational State Transfer)
Role description
Hi,
Hope you are doing well.
Role: Integration Lead
Location: Remote
Contract role
Experience
• 10+ years of software engineering experience with proven success in designing and building scalable enterprise applications.
• 5+ years of hands-on experience in AI/ML engineering, including practical exposure to GenAI, LLMs, or advanced analytics solutions.
Required Skills & Attributes
• Strong proficiency in Python, Java, or similar programming languages.
• Strong proficiency in Reach JS, React Native(Cross Platform Mobile App Developer),
• Typescript, Javascript development experience
• Hands-on experience in building AI/ML solutions, including LLMs, RAG pipelines, or agent-based architectures.
• Experience with cloud platforms (Azure/AWS/GCP) and deploying scalable AI workloads.
• Solid understanding of API development, microservices architecture, and integration patterns (REST, event-driven, MCP/A2A).
• Experience in data engineering, including data ingestion, transformation, and pipeline orchestration.
• Strong knowledge of DevOps/MLOps practices, CI/CD pipelines, and model lifecycle management.
• Ability to design secure, scalable, and high-performance solutions aligned with enterprise standards.
• Strong collaboration and communication skills to work effectively in cross-functional teams.
A
I Skills (Mandatory for All Contractors)
• Consistent Use: Maintain a minimum of 90% weekly usage of enterprise-approved AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms.
• Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and solution design workflows.
• Continuous Learning: Stay up to date with evolving AI capabilities and apply them to improve delivery quality, efficiency, and innovation.
Hi,
Hope you are doing well.
Role: Integration Lead
Location: Remote
Contract role
Experience
• 10+ years of software engineering experience with proven success in designing and building scalable enterprise applications.
• 5+ years of hands-on experience in AI/ML engineering, including practical exposure to GenAI, LLMs, or advanced analytics solutions.
Required Skills & Attributes
• Strong proficiency in Python, Java, or similar programming languages.
• Strong proficiency in Reach JS, React Native(Cross Platform Mobile App Developer),
• Typescript, Javascript development experience
• Hands-on experience in building AI/ML solutions, including LLMs, RAG pipelines, or agent-based architectures.
• Experience with cloud platforms (Azure/AWS/GCP) and deploying scalable AI workloads.
• Solid understanding of API development, microservices architecture, and integration patterns (REST, event-driven, MCP/A2A).
• Experience in data engineering, including data ingestion, transformation, and pipeline orchestration.
• Strong knowledge of DevOps/MLOps practices, CI/CD pipelines, and model lifecycle management.
• Ability to design secure, scalable, and high-performance solutions aligned with enterprise standards.
• Strong collaboration and communication skills to work effectively in cross-functional teams.
A
I Skills (Mandatory for All Contractors)
• Consistent Use: Maintain a minimum of 90% weekly usage of enterprise-approved AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms.
• Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and solution design workflows.
• Continuous Learning: Stay up to date with evolving AI capabilities and apply them to improve delivery quality, efficiency, and innovation.






