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Recently Added AI Engineers in our Network

Yogesh Joshi
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Yogesh Joshi

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AI Engineer5 Years of Exp

I possess the role of developer proficient in Python and AI, having hands-on expertise in crafting, programming, and validating intricate systems and models. My skill set encompasses deep understanding of Descriptive and Predictive Modelling. I showcase robust analytical, logical, and statistical capabilities, driven by an innate passion for continuous learning. My proficiency extends to Python, R, C#, C++, and the realm of Data Visualization. AREAS OF EXPERTISE Research and Development of AI Software Web, Software Development Machine Learning Techniques Deep Learning Methodology Prompt Engineering with open api, Tensorflow, Keras, Pytorch, Sparks etc. Web Frameworks: Flask, Django etc. Agile Methodology Database Modelling UI/UX Design and Development Micro-Computing and IOT Cloud Integration and Cloud Deployment Utilization of Hugging face, Wandb, OpenAI.

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P Arun Kumar
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P Arun Kumar

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Lead AI Engineer4.5 Years of Exp

Experienced AI/ML leader with 4+ years spearheading innovative solutions in AI, Machine Learning, and Extended Reality.

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Kundan Singh
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Kundan Singh

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Senior Generative AI Engineer8 Years of Exp
  • data-science
  • Python
  • machine_learning
  • MySQL
  • Azure
  • AWS
  • TensorFlow
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Experienced Sr. Data Scientist and MLOps professional with 8+ years in the industry, specializing in Generative AI transformations, TensorFlow, and PyTorch. Proven track record of delivering impactful AI solutions and pioneering innovations in chatbot interactions, virtual assistants, and IOT applications. Skilled in open-source model integration, 3D innovation, and end-to-end pipeline development. Postgraduate in AI/ML from NIT Warangal, with a strong background in software development using Python.

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Amith K A
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Amith K A

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Head of AI & Engineering17 Years of Exp
  • machine_learning
  • Deep Learning
  • Azure
  • SAS
  • System Design
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Amith KA is a seasoned professional with 14.5 years of expertise in leadership, management, and a comprehensive skill set spanning data engineering, data science, and systems design. Proficient in engineering best practices, data architecture, and cloud platforms such as GCP, AWS, and AZURE, Amith excels in full-stack development and employs tools like Terraform for efficient infrastructure management. With proficiency in Python, TensorFlow, PyTorch, and BigQuery, Amith is a specialist in machine learning, deep learning, MLOPS, and Kubernetes. Additionally, expertise in areas like NLP, computer vision, and generative AI, along with a strong background in security and Docker, further underscores Amith's impact in the industry.

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ACHYUT SAXENA
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ACHYUT SAXENA

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Lead AI Engineer4.8 Years of Exp
  • Project Management
  • Python
  • machine_learning
  • C++
  • Docker
  • PyTorch
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Machine learning enthusiast with 3+ years of experience in NLP, Computer Vision, and optimization techniques. Proven leadership at Bobble AI, managing team of AI Engineers and achieving 40% boost in team efficiency. Recognized for project impact on company revenue, patent grants, and conference presentations. Passionate about research and innovation in artificial intelligence.

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Mihir Purwar
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Mihir Purwar

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Senior AI Engineer6 Years of Exp
  • A/B testing
  • agentic frameworks
  • Anthropic
  • BERT
  • Catboost
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AI Engineer Specializing in Generative AI, NLP, and AI Product Excellence

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Engineers who wear multiple hats, move fast, and don't need hand-holding.

Works in 5+ Time Zones

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Engineers overlap with EST/PST: 4–6 hours daily and flexible to preferred time zones.

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Straightforward agreement with top-most flexibility and freedom.

30 Days Cancellation

30 Days Cancellation

Cancel without any obligations in cases of dissatisfaction, financial instability, or business slowdown.

2X Retention Rate

2X Retention Rate

92% of placed engineers still with clients after 12 months

Various Skills that AI Engineers Possess

Access the talent network of 3M+ professionals with 100+ skill sets

Python
C++
Julia
Model Architecture Design
Transfer Learning
Model Compression
Quantization
Pruning
ONNX
Distributed Training
Docker
Kubernetes
TorchServe
TensorFlow Serving
Python
C++
Julia
Model Architecture Design
Transfer Learning
Model Compression
Quantization
Pruning
ONNX
Distributed Training
Docker
Kubernetes
TorchServe
TensorFlow Serving
Python
C++
Julia
Model Architecture Design
Transfer Learning
Model Compression
Quantization
Pruning
ONNX
Distributed Training
Docker
Kubernetes
TorchServe
TensorFlow Serving
BentoML
Seldon
Model Monitoring
CI/CD for AI Systems
Model Versioning
AWS SageMaker
Google Vertex AI
Azure ML
Ray
Databricks
Computer Vision
NLP
Speech Recognition
Object Detection
BentoML
Seldon
Model Monitoring
CI/CD for AI Systems
Model Versioning
AWS SageMaker
Google Vertex AI
Azure ML
Ray
Databricks
Computer Vision
NLP
Speech Recognition
Object Detection
BentoML
Seldon
Model Monitoring
CI/CD for AI Systems
Model Versioning
AWS SageMaker
Google Vertex AI
Azure ML
Ray
Databricks
Computer Vision
NLP
Speech Recognition
Object Detection
Image Segmentation
Anomaly Detection
Recommendation Systems
FastAPI
gRPC
REST APIs
Microservices for AI
Model Serving APIs
Model Benchmarking
Bias Detection
Explainability (SHAP, LIME)
Fairness Testing
A/B Testing for AI Systems
Image Segmentation
Anomaly Detection
Recommendation Systems
FastAPI
gRPC
REST APIs
Microservices for AI
Model Serving APIs
Model Benchmarking
Bias Detection
Explainability (SHAP, LIME)
Fairness Testing
A/B Testing for AI Systems
Image Segmentation
Anomaly Detection
Recommendation Systems
FastAPI
gRPC
REST APIs
Microservices for AI
Model Serving APIs
Model Benchmarking
Bias Detection
Explainability (SHAP, LIME)
Fairness Testing
A/B Testing for AI Systems
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Uplers earned our trust by listening to our problems and finding the perfect talent for our organization.

Barış Ağaçdan
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Uplers helped to source and bring out the top talent in India, any kind of high-level role requirement in terms of skills is always sourced based on the job description we share. The profiles of highly vetted experts were received within a couple of days. It has been credible in terms of scaling our team out of India.

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Uplers efficient, quick process and targeted approach helped us find the right talents quickly. The professionals they provided were not only skilled but also a great fit for our team.

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Uplers' talents consistently deliver high-quality work along with unmatched reliability, work ethic, and dedication to the job.

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Case Studies of Tech Companies

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Why Hiring an AI Engineer is Essential for Future-Proofing Your Business

Artificial Intelligence has paved its way in almost all the sectors globally from automobile to recruitment. According to Forbes statistics, the AI market size is estimated to reach $407 billion by 2027. The awareness of AI is immensely high and 64% of the businesses consider AI as a tool to foster productivity. In line with these statistics, ChatGPT received immense traction from nearly 1 million users within the first five days of its launch.

How to Hire the Right AI Engineer for Your Business

In the tech-driven world to stay competitive and ensure your business success you need to stay ahead of the latest trends. One such trend that has created a radical shift globally across all industries including search engines like Google is Artificial Intelligence.

Key Capabilities of AI Engineers Building Production-Ready Applications

Developing intelligent applications is not a futuristic goal, it's a competitive advantage. For product companies integrating artificial intelligence into software is the difference between stagnation and innovation. Hiring AI engineers is the real game-changer who not only brings technical proficiency but also strategic thinking to the table.

Frequently Asked Questions

Yes. AI engineers are used to rapid iteration cycles and are experienced in building scalable prototypes for startups backed by accelerators like Y Combinator, where speed and quality both matter.

Definitely. While the vetting process is thorough, we encourage you to conduct your own interviews, technical reviews, and even pair programming sessions to ensure mutual fit.

Yes. We offer flexible engagement models starting at 6 months. You can extend or even transition to full-time direct placement based on performance and business needs.

Absolutely. Many engineers have experience working with simulation data in sectors like solar, energy, and infrastructure, and can handle mathematical and physics-based datasets with minimal translation overhead.

AI engineers are proficient in Python, PyTorch, TensorFlow, and specialise in model deployment, MLOps, LLM integration, API development, and production-grade AI system architecture.

Yes. Clear communication is a top priority. We rigorously test for English proficiency and assess whether the candidate can explain technical concepts concisely, critical for remote collaboration with global teams.

Yes. AI engineers are comfortable collaborating cross-functionally with front-end developers, product designers, and business leads to align technical solutions with business goals.

All AI engineers are continuously upskilled through our internal learning initiatives and are active contributors to open-source, research, or side projects in machine learning and generative AI.

No worries. We offer a lifetime free replacement guarantee. If you're unsatisfied at any point, we'll provide a replacement without any additional cost or hassle.

You'll receive a shortlist of pre-vetted candidates within 48 hours. Depending on your feedback, onboarding can begin in as little as 5–7 business days.

The cost of hiring an AI engineer from Uplers starts at $2500. The number varies depending on the experience level of the developer as well as your requirements.

View Our Pricing For 2025 - 26

The modes of communication through which you can get in touch with a hired AI Engineer include:

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  • Messaging apps such as WhatsApp, Slack, or Microsoft Teams
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