Senior Machine Learning Engineer/Data Scientist
Machine Learning (ML)
DockerAbout TensorIoT
- AWS Advanced Consulting Partner (for ML and GenAI solutions)
- Pioneers in IoT and Generative AI products.
- Committed to diversity and inclusion in our teams.
TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.
TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!
TensorIoT is proud to be an equal-opportunity employer. This means that we are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind and make our hiring decisions based solely on qualifications, merit, and business needs at the time.
Job Description
At TensorIoT India team, we look forward to bringing on board senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process.
What are the kinds of tasks Data Scientists do at TensorIoT?
As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client.
Minimum Requirements:
- Masters + 6 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 8 years of work experience in Machine Learning Engineering 3 years of Cloud Experience.
- Experience working with Generative AI (LLM), Prompt Engineering, Fine Tuning of LLMs.
- Hands-on experience in MLOps (model deployment, maintenance)
- Hands-on experience with Docker.
- Clear concepts of the following:
- - Supervised Learning, Unsupervised Learning, Reinforcement Learning
- - Statistical Modelling, Deep Learning
- - Interpretable Machine Learning
- Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis.
- Scientific & Analytical mindset, proactive learning, adaptability to changes.
- Strong interpersonal and language skills in English, to communicate within the team and with the clients.
Preferred Qualifications:
- PhD in the domain of Data Science / Machine Learning
- M.Sc | M.Tech in the domain of Computer Science / Machine Learning
- Some experience in creating cloud-native technologies, and microservices design.
- Published scientific papers in the relevant domain of work.
CV Tips:
Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following:
- Focus:
- More focus on technical skills relevant to the job description.
- Less or no focus on your roles and responsibilities as a manager, team lead, etc.
- Less or no focus on the design aspect of the document.
- Regarding the projects you completed in your previous companies,
- Mention the problem statement very briefly.
- Your role and responsibilities in that project.
- Technologies & tools used in the project.
- Always good to mention (if relevant):
- Scientific papers published, Master Thesis, Bachelor Thesis.
- Github link, relevant blog articles.
- Link to LinkedIn profile.
- Mention skills that are relevant to the job description and you could demonstrate during the interview / tasks in the selection process.
We appreciate your interest in the company and look forward to your application.
Shubham Vishwakarma
Full Stack Developer - Averlon
About TensorIoT Software Services Private Limited, India
About
About TensorIoT
TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.
TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!
TensorIoT is proud to be an equal-opportunity employer. This means that we are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind and make our hiring decisions based solely on qualifications, merit, and business needs at the time.
Tech stack
Amazon Web Services (AWS)Machine Learning (ML)Company video
Candid answers by the company
Simply put, we connect devices and make them smarter. We’ve helped over 150 clients expand the possible through intelligent innovation, and we're just getting started.
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Positions: SAC Planning & Reporting
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Experience:
- 8-12 years of experience as an accountant in NON- Financial services sector (Should not be financial services, ideally manufacturing, can be other services)
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Machine Learning (ML)About the company
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Apply through this link for quicker response-https://forms.gle/aSyXcxVNzQptbWt9A
Job Description
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Experience: Experience 4+ years of relevant experience
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• Automating repetitive tasks such as model re-training, hyperparameter tuning, and data validation.
• Developing CI/CD pipelines for seamless code migration.
• Collaborating with cross-functional teams to ensure proper integration of models into production systems.
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• Strong programming skills in Python (with familiarity in Bash/Shell scripting).
• Hands-on experience with tools like Docker, Kubernetes, MLflow, or Airflow.
• Knowledge of cloud services such as AWS SageMaker or equivalent.
• Familiarity with DevOps principles and tools like Jenkins, Git, or Terraform.
• Understanding of versioning systems for data, models, and code.
• Solid understanding of MLflow, ML services, model monitoring, and enabling logging services for performance tracking
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Certifications
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1. Minimum 6 months to 1 year Experience in web developer.
2. Write well designed, testable, efficient code by using best software development practices
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Heard enough? Apply online today for an immediate interview.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon