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Recently Added AI Engineers in our Network

Anil Kumar Reddy
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Anil Kumar Reddy

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Sr. AI Engineer18.83 Years of Exp
  • AWS
  • Azure
  • Docker
  • FAISS
  • machine_learning
  • Mongo DB
  • PEFT
  • PyTorch
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6.5 Years experienced ML engineer with a double master's degree specializing in natural language processing and computer vision. Expertise lies in leveraging advanced algorithms and techniques to extract meaningful insights from complex data sets. Proven track record of successfully implementing cutting-edge solutions, adept at driving innovation and delivering impactful results.

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Shashank Khandelwal
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Shashank Khandelwal

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AI Lead Engineer12.58 Years of Exp
  • Java
  • Python
  • SQL
  • 組込みLinux
  • Spark
  • PyTorch
  • TensorFlow
  • NumPy
  • pandas
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Seeking a leadership role where I can apply my extensive machine learning and team management expertise to drive innovation and excellence in deploying advanced ML systems and optimizing technical processes.

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Yogesh Joshi
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Yogesh Joshi

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AI Engineer12.08 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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Sachin Nowal
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Sachin Nowal

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Data Scientist8.42 Years of Exp
  • machine_learning
  • data-science
  • Poc design
  • Team Mentorship
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Applied data science manager with experience in Fraud and bureau analytics, and expertise in text, machine learning, and analytics solutions.

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Shashi Bhushan Sirka
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Shashi Bhushan Sirka

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AI Engineer 15.5 Years of Exp
  • GraphQL
  • JavaScript
  • Type Script
  • Agent
  • Algorithms
  • AWS
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Dedicated and highly motivated software developer with over 3 years of experience in designing, developing, and maintaining software applications. Adept at delivering scalable and innovative solutions. Seeking a challenging role to enhance my skills and contribute to impactful projects.

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Pranjal Sinha
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Pranjal Sinha

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Senior AI Engineer5.2 Years of Exp

A data scientist with extensive experience in risk analytics, data mining, and machine learning, seeking to leverage skills in a dynamic environment to drive business solutions.

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

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

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30 Days Cancellation

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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 3.5M+ professionals with 100+ skill sets

Python
C++
Model Architecture Design
Transfer Learning
Model Compression
Quantization
Pruning
ONNX
Distributed Training
Docker
Kubernetes
TorchServe
TensorFlow Serving
BentoML
Model Monitoring
CI/CD for AI Systems
Python
C++
Model Architecture Design
Transfer Learning
Model Compression
Quantization
Pruning
ONNX
Distributed Training
Docker
Kubernetes
TorchServe
TensorFlow Serving
BentoML
Model Monitoring
CI/CD for AI Systems
Python
C++
Model Architecture Design
Transfer Learning
Model Compression
Quantization
Pruning
ONNX
Distributed Training
Docker
Kubernetes
TorchServe
TensorFlow Serving
BentoML
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 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 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 Benchmarking
Bias Detection
Explainability (SHAP, LIME)
Fairness Testing
A/B Testing for AI Systems
PyTorch
TensorFlow
Hugging Face Transformers
LangChain / LlamaIndex
RAG (Retrieval-Augmented Generation)
LLM Fine-Tuning
Agentic AI / AI Agents
Vector Databases (Pinecone / Weaviate / Qdrant)
Prompt Engineering
OpenAI / Anthropic / Gemini APIs
MLflow
Weights & Biases (Experiment Tracking)
KServe
Model Benchmarking
Bias Detection
Explainability (SHAP, LIME)
Fairness Testing
A/B Testing for AI Systems
PyTorch
TensorFlow
Hugging Face Transformers
LangChain / LlamaIndex
RAG (Retrieval-Augmented Generation)
LLM Fine-Tuning
Agentic AI / AI Agents
Vector Databases (Pinecone / Weaviate / Qdrant)
Prompt Engineering
OpenAI / Anthropic / Gemini APIs
MLflow
Weights & Biases (Experiment Tracking)
KServe
Model Benchmarking
Bias Detection
Explainability (SHAP, LIME)
Fairness Testing
A/B Testing for AI Systems
PyTorch
TensorFlow
Hugging Face Transformers
LangChain / LlamaIndex
RAG (Retrieval-Augmented Generation)
LLM Fine-Tuning
Agentic AI / AI Agents
Vector Databases (Pinecone / Weaviate / Qdrant)
Prompt Engineering
OpenAI / Anthropic / Gemini APIs
MLflow
Weights & Biases (Experiment Tracking)
KServe
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What Founders & Engineering Leaders Say About Us

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Uplers earned our trust by listening to our problems and finding the perfect talent for our organization.

Barış Ağaçdan
Director
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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.

Aneesh Dhawan
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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.

Melanie Kesterton
Head of Client Service
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Uplers' talents consistently deliver high-quality work along with unmatched reliability, work ethic, and dedication to the job.

Linda Farr
Chief of Staff

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 90-day replacement for full-time hires and a lifetime replacement for contract roles. If you're unsatisfied at any point, we'll provide a replacement without any additional cost or hassle.

You'll receive a shortlist of AI 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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