Machine Learning Engineer

Machine Learning Engineer

Experience: Fresher
Salary : INR 20,00,000-25,00,000 / year
Preferred Notice Period: Within 30 Days
Shift: 11:00 AM to 08:30 PM IST
Opportunity Type: Onsite (Bengaluru)
Placement Type: Permanent

(*Note: This is a requirement for one of Uplers' Partners)

What do you need for this opportunity
Must have skills required :
JavaScript, Python, Computer Vision, Generative AI, Pytorch
Good to have skills :
AWS, Azure, Google Cloud, Hadoop, MLOps, Spark

Our Hiring Partner is Looking for:
Machine Learning Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description
We are seeking a creative and experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in developing and deploying NLP and computer vision models, deep learning, and API creation. You will be responsible for innovating and exploring new models to accomplish complex tasks and improve our product
offerings.

Key Responsibilities:

• Design, develop, and deploy machine learning models with a focus on Natural Language Processing (NLP) and Computer Vision.
• Perform data labelling and preprocessing to prepare datasets for training.
• Select appropriate deep learning models and algorithms to solve specific problems.
• Train, fine-tune, and validate models to achieve high accuracy and performance.
• Build APIs for integrating machine learning models into existing applications.
• Continuously explore and evaluate new machine learning techniques and models to enhance our capabilities.
• Collaborate with cross-functional teams to understand business needs and provide AI-driven solutions.
• Document and present model development processes, results, and insights to stakeholders.

Qualifications:

• Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Proven experience in developing and deploying machine learning models, particularly in NLP and Computer Vision.
• Proficiency in programming languages such as Python, and experience with machine learning libraries/frameworks like TensorFlow, PyTorch, and scikit-learn.
• Strong understanding of deep learning techniques and algorithms.
• Experience with data preprocessing and data labeling.
• Ability to build and deploy APIs for machine learning models.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work well in a team environment.

Preferred Skills:

• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Familiarity with big data technologies like Hadoop or Spark.
• Knowledge of additional programming languages such as R, Java, or C++.
• Understanding of MLOps and model deployment pipelines.

Interview Rounds -

• Technical Round 1
• Technical Round 2
• Assessment
• Cultural Round

How to apply for this opportunity

1. Register or login on our portal
2. Click 'Apply,' upload your resume and fill in the required details.
3. Post this click Apply Now' to submit your application.
4. Get matched and crack a quick interview with our hiring partner.
5. Land your global dream job and get your exciting career started!

About Our Hiring Partner:
Ctruh isn’t just a platform; it's your gateway to crafting incredible digital worlds. Our web-based, no-code environment is built around a powerful 3D editor that lets anyone—yes, anyone—create immersive experiences in no time. Whether you're a brand looking to connect with customers or an individual eager to express creativity, you can bring your visions to life in under 30 minutes.

About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!