Mindlance · 2 hours ago
Azure AI Developer
Mindlance is seeking a Senior AI Engineer to play a pivotal role in designing, developing, and deploying artificial intelligence solutions. This role will enhance operational efficiency and support strategic initiatives for environmental and social specialists within the client.
Responsibilities
Collaborate with cross-functional teams to identify AI opportunities
Train, validate, and optimize machine learning models
Translate business requirements to technical specifications
Develop code, deploy AI models and into production environments, and conduct ongoing model training
Monitor performance and troubleshoot issues and engage in fine-tuning the solutions to improve accuracy
Ensure compliance with ethical standards and data governance policies
Conduct training sessions for stakeholders on AI tools
Develop user guides and technical documentation
Collect, preprocess, and engineer large datasets for machine learning and AI applications
Recommend and Implement Data Cleaning and Preparation
Analyse and use structured and unstructured data (including geospatial data) to extract features and actionable insights
Monitor data quality, detect bias, and manage model/data drift in production environments
Research emerging AI technologies and recommend improvements
Advise client's staff on AI strategy and policy implications
Contribute to the team’s AI roadmap and innovation agenda
Provide continuous support and contribute towards maintenance and future enhancements
Work on Proof of Concepts to study the technical feasibility of AI Use Cases
Functional AI applications integrated into business systems
Documentation of model/application architecture, training data, and performance metrics
Training materials and user guides
Develop, train, and deploy AI models tailored to business needs
Qualification
Required
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
Minimum 3 years of experience in AI/ML model development and deployment
Experience with MLOps tools (e.g., MLflow), Docker, and cloud platforms (AWS, Azure, GCP)
Proven track record in implementing LLMs, RAG, NLP model development and GenAI solutions
Skilled in – Azure AI/Google Vertex Search, Vector Databases, fine-tuning the RAG, NLP model development, API Management (facilitates access to different sources of data)
Proficiency in Python, TensorFlow, PyTorch, and NLP frameworks
Expertise deep learning, computer vision, and large language models
Familiarity with REST APIs, NoSQL, and RDBMS
Preferred
Microsoft Certified: Azure AI Engineer Associate
Google Machine Learning Engineer
SAFe Agile Software Engineer (ASE)
Certification in AI Ethics
Company
Mindlance
Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services
H1B Sponsorship
Mindlance has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (71)
2024 (53)
2023 (37)
2022 (72)
2021 (36)
2020 (40)
Funding
Current Stage
Late StageLeadership Team
Recent News
2025-11-19
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2025-05-17
2025-04-14
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