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Recently Added Machine Learning Engineers in our Network

Amith K A

Amith K AProfile Badge IC

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.

Durga Sai Eswar

Durga Sai EswarProfile Badge IC

Python Developer5 Years of Exp
  • Python
  • Azure
  • Git
  • Kubernetes
  • Docker
  • Datastructures
  • Flask
  • CI/CD
  • View all (11)

Python developer with 4.5+ years of experience in backend development on REST APIs, skilled in developing and optimizing backend applications.

Madhumitha Kolkar

Madhumitha KolkarProfile Badge IC

Machine Learning Engineer4 Years of Exp
  • Algorithms
  • Datastructures
  • Debugging
  • programming languages
  • View all (8)

Seasoned Machine Learning Engineer with 3.3 years of professional experience working with a specialization in Natural Language Processing, Computer Vision, Deep Learning and Generate AI.

Nishant Rao Guvvada

Nishant Rao GuvvadaProfile Badge IC

Ai ML Engineer6.3 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

Senior Software Engineer7 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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Works in 5+ Time Zones

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30 Days Cancellation

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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

Machine Learning Engineer Hiring Trends: What You Need to Know

Machine Learning is one of those technologies that has taken the tech market by a turmoil. Businesses are recognizing the value of AI-driven insights and automation resulting in the skyrocketing demand for machine learning engineers.

Common Mistakes to Avoid When Hiring Machine Learning Engineers

As a business looking to leverage data-driven solutions to hire machine learning engineers is non-negotiable. The rapidly evolving nature of machine learning can be challenging, which is why hiring managers need to be on point of the common pitfalls that can result in poor hiring decisions.

What are the Essential Skills and Responsibilities required to hire Machine Learning Engineers

Technological advancements have taken the industry by a revolution where Artificial Intelligence and Machine Learning have taken over. Machine learning engineers have a pivotal role to play in developing systems and algorithms that enable machines to learn from data and perform tasks without the traditional human intervention.

Frequently Asked Questions

We provide mid to senior-level machine learning engineers with experience across supervised, unsupervised, and reinforcement learning. They are proficient in Python, TensorFlow, PyTorch, Scikit-learn, and can work on models involving predictive analytics, NLP, and computer vision.

Yes. Whether you're building an internal tool, working on a client-facing product, or need support for consulting assignments, our ML engineers can seamlessly integrate into your workflow.

Yes, our engineers are remote-ready and can work in sync with US, UK, EU, or APAC time zones, depending on your team's schedule.

We typically share vetted profiles within 48 hours. You can expect candidates who match your JD and are ready for interviews almost immediately.

No. We maintain a pool of pre-vetted, actively available talent. Most are either in their notice period or looking for immediate engagement, and are ready to onboard after your selection.

Absolutely. Whether you're hiring for a short-term AI use case or need a long-term engineer embedded in your product team, we offer both contract and full-time engagement options.

Our pricing starts at $2,500/month, varying with experience level and complexity of the role. We offer flexible engagement terms tailored to your needs.

We offer a lifetime replacement guarantee. If the hired talent doesn't meet expectations, we'll help you find a better fit, no hassle.

Yes. Many of our engineers have worked on end-to-end ML lifecycle tasks, data prep, model training, validation, and deploying models using MLOps tools on cloud platforms like AWS, Azure, or GCP.

Yes. If you're scaling your AI function, we can help you onboard multiple machine learning engineers or even cross-functional teams (including data engineers, backend developers, and analysts) as per your roadmap.

The modes of communication through which you can get in touch with a hired machine learning engineers include:

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

The average cost of hiring a Machine Learning 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 2024 - 25

Yes, ML engineers have a proliferating demand due to the rising adoption of machine learning technologies across various industries.