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Tech9

Senior AI Engineer

Posted 19 Hours Ago
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Pune, Maharashtra
Senior level
Pune, Maharashtra
Senior level
The Senior AI Engineer will collaborate with clients and teams to define business problems addressable by AI. They will design, develop, and implement AI solutions, ensuring optimal performance and adherence to ethical practices. Responsibilities include model training and documentation, as well as staying current with AI advancements.
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Tech9 is shaking up a 20-year-old industry, and we're not slowing down. Recognized by Inc. 5000 as one of the nation's fastest-growing companies. We're also proud to be ranked as the 23rd fastest growing company in Utah and a recipient of the prestigious award for Forbes' Top 500 Startup Companies to Work For (second year in a row!). 
Tech9 has established a track record of providing production AI solutions for our clients. As AI demand grows, we are looking for more of the best AI engineers to join our team, where they will be exposed to, and have the opportunity to work on, multiple applications of AI - not limited to one thing, one assignment.

We invite you to interview with us, show us what you can do, and find out how Tech9 can provide you the AI career you're looking for!

 At Tech9 India, we offer the following benefits: 

  • Full health insurance for you and your immediate family
  • 23 days of paid leave with 8 paid holidays
  • 100% remote work (Candidate can opt to work 100% remote, hybrid, or in-person at our Pune office)
  • Learning and Development Stipend
  • Cloud Certification Reimbursement 
  • Laptop reimbursement program
  • Generous Matching Contribution to PF 

If that sounds attractive please apply! We'd love to talk to you.

Main Responsibilities: 

  • Collaborate with clients, project managers, architects, and other engineers to identify and clearly define business problems that can be addressed with AI solutions
  • Translate identified business challenges into specific technical requirements for AI models
  • Design, develop, and implement AI solutions using cutting-edge techniques and algorithms
  • Conduct thorough analysis of the environment where the AI model will be deployed. This includes factors like:
    • Target users and their interactions with the AI system.
    • Existing infrastructure and integration needs with current systems.
    • Data security and privacy considerations.
    • Scalability requirements to accommodate future growth.
  • Design AI solutions that are robust and adaptable to the specific deployment environment.
  • Consider potential ethical implications of AI implementation and ensure solutions adhere to responsible AI practices
  • Train, test, and evaluate AI models to ensure optimal performance and adherence to ethical standards.
  • Integrate AI solutions into existing systems and workflows.
  • Document AI systems thoroughly for future maintenance and scalability.
  • Stay up-to-date on the latest advancements in AI and ML research.

Minimum Qualifications: 

  • Candidate must be located in India
  • Candidate must have a notice period of 45 days or less (Company Policy)
  • 5+ years of professional working experience within software development
  • Demonstrated experience understanding business requirements and translating business needs into technical requirements for AI solutions
  • Demonstrated experience (4+ years minimum) with Natural Language Processing (NLP) and Computer Vision (CV) techniques (image recognition, object detection, image generation)
  • Possess a solid grasp of deep learning architectures like CNNs and RNNs
  • Proficient in at least one programming language and have a strong foundation in coding best practices
  • Background in traditional programming and can demonstrate your ability to break down complex problems into manageable steps
  • Strong system architecture knowledge and can design scalable and maintainable AI solutions
  • In-depth knowledge of mathematics, probability, statistics, and algorithms.
  • Excellent analytical and problem-solving skills.
  • Experience in the following:
    • Unsupervised, semi-supervised, and supervised learning methods.
    • Machine learning frameworks such as PyTorch and TensorFlow.
    • Libraries such as NumPy, Pandas, Scikit-learn, SciPy, and StatsModels.
    • Programming language: Python.
    • A strong understanding of Transformer-based models.
  • Experience with cloud platforms such as Azure or AWS.
  • Expertise in data engineering, including data curation, cleaning, and preprocessing.
  • Strong collaboration skills with software engineering and operations teams to ensure the seamless integration and deployment of AI models.
  • The ability to utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
  • Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

Preferred Qualifications: 

  • 7 years of relevant experience or Master's or Ph. D in Machine Learning and Artificial Intelligence.
  • Published research or conference presentations in AI/ML areas, particularly in Natural Language Processing (NLP) or Computer Vision (CV).
  • Experience with advanced transformer architectures (e.g., GPT, BERT, T5) and their practical application in NLP and CV domains.
  • Proven experience in generative models (GANs, VAEs, diffusion models) and their application in image generation, text generation, or multimodal tasks.
  • Knowledge of LLM fine-tuning, deployment, and prompt engineering for AI solutions, particularly in real-world applications like customer service or content generation.
  • Prior experience collaborating with product teams to integrate AI solutions into large-scale software products, emphasizing AI usability, customer impact, and continuous improvement.
  • Knowledge of techniques for explainability and interpretability of AI models, essential for industries with strict compliance needs (e.g., finance, healthcare).
  • Hands-on experience with deploying AI/ML models on cloud platforms such as AWS SageMaker, Azure AI, or Google AI Platform, with a focus on scalability and cost optimization.

Additional Information:

Interview Process Overview

Below, you'll find an outline of the interview plan for our Senior AI Engineer positions. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

  1. 30-minute Recruiter Screen
  2. Take-home assignment 
  3. 2-part technical evaluation with one of our Senior AI Engineers.
    1. 1-hour: Core AI/ML Concepts
    2. 1-hour: AI System Design & Architecture
  4. 1-hour Hiring Manager Interview

We recognize that this is a significant investment of time. We want you to know what to expect, and we believe that if you are looking for a great place to work, the time is worth it!

Tech9 Values: 

Our success is not just a product of what we do, but how we do it. Our culture is defined by values that are vital to our collective and individual achievements. We believe in 'Quality by Choice,' 'Win Win is the Only Win,' 'Continuous Improvement,' 'Integrity and Transparency,' and 'Extreme Ownership,'. These core values guide the actions and decisions we make every day. They are not just words; they are the compass that guide our actions and define our commitment to one another and our customers.

  • Quality by Choice: We choose quality in everything we do, owning our impact, exceeding expectations, and earning trust
  • Win-Win is the Only Win: Every win is shared, built on collaboration, respect, and a belief that success thrives together.
  • Continuous Improvement: We never stop growing, embracing feedback, learning from mistakes, and continuously crafting better together.
  • Integrity and Transparency: We act with unwavering integrity, building trust through transparency, honesty, and open communication.
  • Extreme Ownership: We own it all, taking extreme control, driving results, facing every challenge head-on, and innovating like entrepreneurs, because our actions ripple outward, building trust and collective success. 

#LI-Remote

#India

Top Skills

AWS
Azure
Docker
Git
Kubernetes
Numpy
Pandas
Python
PyTorch
Scikit-Learn
Scipy
Statsmodels
TensorFlow

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