Experienced Mid-Level Machine Learning Engineer - Cloud-Native AI Solutions for IoT and Generative AI

Unlock the Power of AI with TensorIoT: Join Our Team as a Mid-Level Machine Learning Engineer

TensorIoT is revolutionizing the world of IoT and Generative AI with its innovative solutions, and we're looking for talented Mid-Level Machine Learning Engineers to join our team. As an AWS Advanced Consulting Partner for ML and GenAI solutions, we're committed to helping organizations harness the full potential of the AWS cloud ecosystem. If you're passionate about machine learning, cloud-native technologies, and making a real impact, we want to hear from you!

About TensorIoT: Pioneers in IoT and Generative AI

TensorIoT is an AWS Advanced Tier Services Partner that builds cutting-edge solutions to help organizations overcome complex business challenges. Our team is dedicated to engineering success for our clients, leveraging the AWS platform to deliver bespoke solutions that drive customer success. With a strong foundation in IoT and AI, our founders have a proven track record of building world-class platforms at AWS and Google. We're committed to diversity and inclusion, and we encourage people from all backgrounds to apply.

Job Description: Mid-Level Machine Learning Engineer

As a Mid-Level Machine Learning Engineer at TensorIoT, you'll play a critical role in developing and deploying AI solutions that transform businesses. Your work will involve studying, understanding, and analyzing datasets, feature engineering, proposing and evaluating solutions, and communicating with clients. You'll also implement ETL pipelines, conduct scientific research, and present experiments within the team and to clients.

Key Responsibilities:

• Develop and deploy machine learning models using MLOps practices
• Collaborate with cross-functional teams to identify business objectives and develop AI solutions
• Analyze datasets, perform feature engineering, and propose solutions
• Implement ETL pipelines using database/data lake tools
• Conduct scientific research and present experiments to the team and clients
• Work with cloud-native technologies and microservices design
• Communicate complex technical concepts to clients and team members

Essential Qualifications:

• Master's degree in Computer Science, Machine Learning, or related field, with 3 years of work experience in Machine Learning Engineering
• B.Tech in Computer Science or related field, with 5 years of work experience in Machine Learning Engineering
• 1 year of cloud experience
• Clear understanding of supervised, unsupervised, and reinforcement learning
• Strong foundation in statistical modeling, deep learning, and interpretable machine learning
• Scientific and analytical mindset, with proactive learning and adaptability to changes
• Strong interpersonal and language skills in English

Preferred Qualifications:

• PhD in Data Science, Machine Learning, or related field
• Hands-on experience with MLOps, model deployment, and maintenance
• Experience working with Generative AI (LLM)
• Experience with cloud-native technologies and microservices design
• Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis
• Hands-on experience with Docker

To be eligible for the first round of interviews, candidates should meet at least 4 of the 7 preferred qualifications listed above.

Skills and Competencies:

To succeed as a Mid-Level Machine Learning Engineer at TensorIoT, you'll need:

• Strong programming skills in languages such as Python, Java, or C++
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn
• Knowledge of cloud platforms, particularly AWS
• Understanding of software development principles, including version control and testing
• Excellent communication and collaboration skills

Career Growth Opportunities and Learning Benefits:

At TensorIoT, we're committed to helping our team members grow and develop their skills. As a Mid-Level Machine Learning Engineer, you'll have opportunities to:

• Work on cutting-edge AI projects that transform businesses
• Collaborate with experienced professionals in the field
• Develop your skills in cloud-native technologies, MLOps, and Generative AI
• Participate in scientific research and experimentation
• Present your work to clients and industry experts

Work Environment and Company Culture:

TensorIoT is a remote-friendly company that values diversity and inclusion. We offer:

• A flexible and collaborative work environment
• Opportunities for professional growth and development
• A culture that encourages innovation and creativity
• A competitive salary and benefits package

Compensation and Benefits:

We offer a competitive salary and benefits package that reflects our commitment to attracting and retaining top talent. While we can't disclose specific details, we can assure you that our compensation package is designed to reward outstanding performance and dedication.

Don't Hesitate, Apply!

If you're passionate about machine learning, cloud-native technologies, and making a real impact, we want to hear from you! Don't worry if you don't meet every single requirement - we value a great attitude and a willingness to learn above all. Submit your application today, and let's unlock the power of AI together!

To apply, please ensure your CV prioritizes technical skills relevant to the job description, and includes relevant projects, scientific papers, and links to your Github or LinkedIn profile. We look forward to reviewing your application!