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Recently Added TensorFlow Developers in our Network

Amith K A

Amith K AProfile Badge IC

Head of AI/ML 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.

Durga Sai Eswar

Durga Sai EswarProfile Badge IC

Back End Developer5 Years of Exp
  • Python
  • Azure
  • Git
  • Kubernetes
  • Docker
  • Datastructures
  • Flask
  • CI/CD
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Python developer with 4.5+ years of experience in backend development on REST APIs, skilled in developing and optimizing backend applications.

Jagannath Das

Jagannath DasProfile Badge IC

data anlayst3 Years of Exp

Proficient in Python, SQL, TensorFlow and Pytorch with a passion for effectively communicating intricate data. Actively pursue further education in these technologies to remain at the forefront of the field. Possess a B.Tech degree in Electrical and Electronics Engineering from NIST and have successfully completed multiple Google certified courses in data analysis and engineering. Motivated to apply my technical expertise to a data-driven organization, generating significant outcomes through strategic data utilization.

Nishant Rao Guvvada

Nishant Rao GuvvadaProfile Badge IC

AI/ML Engineer6 Years of Exp
  • Amazon Bedrock
  • Amazon SageMaker
  • Azure AI Studio
  • Express
  • FastAPI
  • View all (8)

With over 6 years of experience in the field, I have honed my skills in cloud server management (specifically in Google Cloud and AWS), Vertex AI, and Tableau. I am also well-versed in Vertex AI, leveraging its capabilities to build advanced machine learning models. Furthermore, my proficiency in Tableau has allowed me to present data in a visually appealing and intuitive manner, enabling stakeholders to derive actionable insights. With my diverse skill set and extensive experience, I am confident in my ability to deliver exceptional results in any project or role

Prasun Sinha

Prasun SinhaProfile Badge IC

Back End Developer7 Years of Exp

Seeking a challenging role as a Technical Lead in AI & ML, to leverage extensive experience and expertise of 7+ years to drive innovative projects, lead cross-functional teams, and contribute to the development of cutting-edge solutions in artificial intelligence and machine learning. The goal is to lead impactful initiatives, foster collaboration, and deliver high-quality AI and ML solutions that drive business growth and technological advancement.

Rajat Agrawal

Rajat AgrawalProfile Badge IC

Senior Software Engineer5 Years of Exp
  • Python
  • pandas
  • CI/CD
  • NumPy
  • Django
  • Neo4j
  • PyTorch/scikit-learn
  • View all (10)

Dynamic Python Back-end Developer with a proven track record in designing and implementing complex software solutions across diverse industries. Demonstrated expertise in deploying applications on Azure AKS Clusters within internal cloud infrastructures and hands-on experience in AI and Gen AI projects, particularly with LLM models and training data. Proficient in AWS services such as EC2, S3, RDS, and Lambda, along with strong database management skills using SQL, MySQL, and PostgreSQL. Familiar with Elasticsearch for search functionalities and adept at utilizing Pandas and NumPy for data analysis. Experienced in CI/CD practices with tools like Jenkins, and skilled in task automation and workflow management. Knowledgeable in Redis and MongoDB for data caching and storage solutions, and proficient in executing ETL processes. Capable of developing web applications with Django and the AWS SDK, while exhibiting strong debugging skills in Python. Excellent communicator with the ability to collaborate effectively within teams and deliver high-quality results under tight deadlines.

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Hire TensorFlow Developers to Build Powerful AI and Machine Learning Models

AI and machine learning are transforming the way businesses operate. These technologies empower systems to learn from data, recognize patterns, and make decisions autonomously, minimizing human intervention. By integrating AI, organizations can innovate, optimize processes, and elevate customer experiences.

Frequently Asked Questions

Uplers provides AI-vetted talent, ensuring a seamless hiring experience. Our efficient process ensures profile shortlisting within 48 hours, allowing you to swiftly onboard qualified professionals within just 2 weeks. Additionally, we prioritize client satisfaction with our flexible terms, including a 30-day cancellation policy and a lifetime free replacement.

You can get the top 3.5% of AI-vetted profiles in less than 48 hours through Uplers. Once you finalize one of the most suitable TensorFlow Developers, Uplers takes care of the entire hiring and onboarding formalities. This typically takes 2-4 weeks depending on your requirements and decision-making time.

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

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

Uplers offers a 30-day cancellation policy at no extra cost and lifetime free replacement.

The average cost of hiring a TensorFlow Developer 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 2024 - 25

At Uplers, our screening process ensures a thorough evaluation of candidates' language proficiency, facilitated by our AI-vetting technology. Beyond linguistic skills, we prioritize cultural fitness to ensure seamless integration within your team, fostering a harmonious work environment and seamless collaboration.

Yes, TensorFlow developers are in high demand as AI and machine learning adoption grows across industries. TensorFlow's versatility in deep learning, neural networks, and data science makes it essential for applications in healthcare, finance, automation, and cutting-edge AI research.

TensorFlow developers are focusing on AI model optimization, edge computing, and automation. Trends include using TensorFlow Lite for mobile AI, leveraging TensorFlow.js for web-based ML, integrating with cloud platforms, adopting federated learning for privacy, and enhancing model performance with TensorFlow 2.x advancements.

Uplers enables:

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This ensures SaaS companies have a consistent, evolving team.

Uplers follows a 5-stage vetting process, including:

  • Profile screening and background verification
  • AI-driven technical assessments
  • Aptitude and problem-solving evaluations
  • Panel interviews for final selection

This ensures only the top 3.5% of talent gets selected.

Uplers follows a transparent pricing model, ensuring:

  • Developers receive fair market salaries
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  • No hidden fees or unexpected costs

This allows SaaS companies to plan budgets effectively.

Yes! Uplers offers:

  • Hybrid models with on-site and remote team members
  • Flexible resource allocation based on project needs
  • On-demand talent scaling for peak development phases

This allows SaaS companies to optimize team structures efficiently.