AI Engineer

Analytics Any, United States

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Description

Trianz is a leading-edge technology platforms and services company that accelerates digital transformations at Fortune 100 and emerging companies worldwide in data & analytics, digital experiences, cloud infrastructure, and security. The company has developed a disruptive “IP Led Transformations” vision, strategy, and business model over the past 3 years. Some of the company’s IP was recently acquired by AWS and its overall business model has taken off sharply in 2024.

Trianz is led by Sri Manchala, a former special forces officer from the Indian army and author of Crossing the Digital Faultline | Trianz, and a team of veterans from well-known firms such as Deloitte, HCL, KPMG, Wipro, Microsoft, TATA, AWS, GE, etc. 

About Trianz

Trianz believes that companies around the world face three challenges in their digital transformation journeys - shrinking ‘time to transform’ due to competition & AI, lack of digital-ready talent, and uncertain economic conditions. To help clients leapfrog over these challenges, Trianz has built IP and platforms that have transformed the adoption of the cloud, data, analytics & insights AI.

Specifically, the following Trianz platforms are changing the way companies approach transformations in various disciplines:

  • Concierto: A fully automated platform to Migrate, Manage, and Maximize the multi & hybrid cloud. A zero code and SaaS platform, Concierto allows teams to migrate to AWS, Azure and GCP and manage them efficiently from a single pane of glass. Visit www.concierto.cloud for more information.
  • Avrio: is a Data to AI SaaS platform designed to drive data-led transformation at lightning speed. Through conversational AI, organizations seamlessly engage with all their data, unlocking real-time insights, and uncovering hidden opportunities and risks—all within one powerful platform. Visit www.avriodata.ai to know more.
  • Pulse: Recognizing that workforces will be distributed, mobile, and fluid, Trianz has built a ‘future of work’ digital workplace platform called Pulse. Visit www.trianz.com/Pulse

Since the market launch of this strategy in mid-2023, Trianz has experienced enormous growth, success and recognition.

  • Some of Trianz’ built IP in data and analytics was acquired by Amazon. Since then, Trianz has been made an engineering partner of Amazon for building/supporting connected ecosystems across multiple AWS platforms.
  • Most recently, Trianz and AWS have signed a strategic collaboration agreement within which the two companies will work on joint roadmaps/solutions for the cloud; AWS will buy Trianz | Concierto in bulk for AWS partners to use for migrations; AWS will also recommend Concierto to their MSPs and finally, AWS Professional Services and Trianz have signed an agreement for joint solutioning and customer delivery. Read more: Trianz enters into a Strategic Collaboration Agreement with AWS to Revolutionize Cloud Adoption and Management (yahoo.com)

 

Given all this, Trianz is experiencing a significant demand for its SW platforms and consequent growth. To support this growth, Trianz has recently raised private equity capital to scale the company over the next several years (Trianz Announces Strategic Growth Capital Investment by Capital Square Partners (prnewswire.com). It is now bolstering its senior and mid-level leadership with top talent across GTM, Engineering, Services, and Partnership organizations. We are seeking leaders driven by our purpose - to help customers accelerate digital transformations and build the next generation software and services organization.            

 

Job Description       

         

Role

AI Engineer: ML Engineering

Employment Type

Contract duration 6 to 12months

Work location

Remote in USA

Work mode

Remote (may require to travel to client office based on business need)

About the role

Trianz is looking for an AI Engineer who will be responsible for designing, developing, and deploying machine learning models in production environments. This role will involve working with large datasets, building and evaluating models, and integrating them with other systems. The ideal candidate will have a strong understanding of machine learning algorithms, experience with model deployment and monitoring, and a passion for staying at the forefront of AI technology.

Job Responsibilities

  • Model Development: Design, develop, and implement machine learning models to address business challenges.
  • Model Evaluation and Optimization: Evaluate model performance, fine-tune parameters, and optimize models for accuracy and efficiency.
  • Production Deployment: Deploy models into production environments, ensuring scalability, reliability, and maintainability.
  • Text2SQL AI Orchestration: Develop and implement solutions for natural language processing (NLP) tasks, including text-to-SQL conversion.
  • VectorDB and LLM Integrations: Integrate vector databases and large language models (LLMs) into AI solutions. Embedding/Chunking Strategies: Develop and implement strategies for embedding and chunking data for efficient processing.
  • Prompt Engineering: Design and refine prompts for LLMs to optimize performance.

Platform Expertise: Utilize platforms like Bedrock and Sagemaker for building and deploying AI solutions.
Collaboration: Work closely with data scientists, engineers, and business stakeholders to deliver impactful AI solutions.

Mandatory Qualifications

  • 9+ years of experience in machine learning engineering or a related field.
  • Strong understanding of machine learning algorithms and principles.
  • Experience with model evaluation metrics, feedback loops, and optimization techniques.
  • Proficiency in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Experience with deploying and monitoring models in production environments.
  • Knowledge of Text2SQL AI orchestration, vector databases, and LLM integration.
  • Familiarity with embedding/chunking strategies and prompt engineering techniques.
  • Experience with cloud platforms AWS (Bedrock, Sagemaker) and/or Azure/GCP.

Strong problem-solving and analytical skills. Excellent communication and collaboration skills.

Additional / Nice-to-have Qualifications

  • Experience with MLOps practices and tools. Contributions to open-source ML projects or publications in relevant conferences.

Certifications in AWS and/or other cloud platforms.

Required Education

  • Bachelor's or master’s degree in computer science, in a related field.

Travel Requirement (%)

Infrequent travel as required for In-person client meetings Company culture / focus events Training and/or alliance needs

 

Trianz is growing at a faster pace than the industry for the last five years. Read through some of the key industry recognitions we have received for our innovative execution and strategic client initiatives here.

Equal Employment Opportunity 
Trianz is an Equal Opportunity Employer and does not discriminate based on race, color, creed, national or ethnic origin, gender, religion, disability, age, political affiliation or belief, special needs veteran, veteran of the Vietnam Era, or citizenship status (except in those special circumstances permitted or mandated by law). We comply with all state and federal laws and regulations protecting employees and applicants against illegal discrimination, retaliation, and harassment. Our policy is available upon request. We consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law. Trianz participates in the E-Verify program in certain locations, as required by law. We are committed to providing reasonable accommodation for all qualified individuals with a disability or other reasons protected by applicable laws. If you require assistance or accommodation due to a disability or special needs to search for a job opening or apply, please email [email protected] with your request and contact information.  
  
Trianz Privacy Notice 
Trianz respects your privacy and wants to ensure we comply with applicable Data Privacy Regulations as per local regulator laws. Please review our privacy policy at https://www.trianz.com/privacy-policy for more.  

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