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Recently Added AI Engineers in our Network

Shashank Khandelwal

Shashank KhandelwalProfile Badge IC

AI Lead Engineer12 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.

Udaya Sai Chikka

Udaya Sai ChikkaProfile Badge IC

AI Engineer6.6 Years of Exp
  • machine_learning
  • Python
  • data-science
  • NLP
  • API development
  • View all (8)

Highly skilled AI Engineer with a proven track record of developing and deploying over 50 Conversational AI applications across diverse sectors. Recognized for driving revenue growth, optimizing operations, and leading high-performing teams to deliver innovative AI solutions. Proficient in Python, JavaScript, GPT-3, ChatGPT, and various frameworks. Adept at integrating AI solutions with business goals and mentoring junior members for enhanced performance.

Yogesh Joshi

Yogesh JoshiProfile Badge IC

AI Developer & Data Scientist5 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.

ACHYUT SAXENA

ACHYUT SAXENAProfile Badge IC

Lead AI Engineer4.8 Years of Exp
  • Project Management
  • Python
  • machine_learning
  • C++
  • Docker
  • PyTorch
  • View all (8)

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.

Nikita Sharma

Nikita SharmaProfile Badge IC

Senior Associate Data Science (AI & Analytics)4.2 Years of Exp
  • Adobe Analytics
  • clustering
  • Data Modeling
  • EDA
  • FastAPI
  • View all (9)

AI Engineer and Data Scientist with ~4 years of experience building scalable Machine learning and Generative AI solutions. Specialized in NLP, Retrieval-Augmented Generation (RAG), data analytics automation, and customer intelligence. Known for driving real-time insight generation, optimizing marketing operations, and developing low-latency tools using LLMs and Python. Recognized for reducing manual effort, boosting analytics ROI, and accelerating business decisions through innovation.

Sai Vignan Malyala

Sai Vignan MalyalaProfile Badge IC

Head LLM Engineer - Gen AI Architect10.4 Years of Exp
  • machine_learning
  • data-science
  • Cloud DevOps
  • DevOps
  • Deep Learning
  • View all (7)

Principal Data Scientist/ Head of AI / Mentor with vast experience in building AI use-cases from scratch and deploying them to production. Amazing experience in GenAi, LLm fine-tuning , RAG, vector databases, NLP, Machine learning, Deep learning, transfer learning, working with LLM, MLOPS, deployment using aws, airflow, data bricks, pyspark, pipelining, containerization. Effective and proactive communicator with experience in leading teams and projects. Expertise in Computer Vision for OCR related information extraction from images, pdf parser, XML parser, box detection, entity detection and recognition, Data Mining, Data tagging, Data Analysis, Feature Selection & Model Selection, Model Building, Model Validation, Model threshold validation, log analysis.

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

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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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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 Developers Powering Intelligent 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. Our 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.

Absolutely. Many of our 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.

Our AI engineers are proficient in Python, TensorFlow, PyTorch, computer vision, and data modeling. Many are also skilled in ML Ops, Docker, and working with APIs, ensuring seamless deployment and integration.

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.

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

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

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.

All our 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:

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