
Job Description – Machine Learning Expert
Role: Machine Learning Expert
Experience: 6+ Years
Location: Bangalore
Education: B.Tech Degree (Computer Science / Information Technology / Data Science / related fields)
Work Mode: Hybrid – 3 Days Office + 3 Days Work from Home
Interview Mode: Candidate must be willing to attend Face-to-Face (F2F) L2 round at Bangalore location
About the Role
We are seeking a highly skilled Machine Learning Expert with a strong background in building, training, and deploying AI/ML models. The ideal candidate will bring hands-on expertise in designing intelligent systems that leverage advanced algorithms, deep learning, and data-driven insights to solve complex business challenges.
Key Responsibilities
- Develop and implement machine learning and deep learning models for real-world business use cases.
- Perform data cleaning, preprocessing, feature engineering, and model optimization.
- Research, design, and apply state-of-the-art ML techniques across domains such as NLP, Computer Vision, or Predictive Analytics.
- Collaborate with data engineers and software developers to ensure seamless end-to-end ML solution deployment.
- Deploy ML models to production environments and monitor performance for scalability and accuracy.
- Stay updated with the latest advancements in Artificial Intelligence and Machine Learning frameworks.
Required Skills & Qualifications
- B.Tech degree in Computer Science, Information Technology, Data Science, or related discipline.
- 6+ years of hands-on experience in Machine Learning, Artificial Intelligence, and Deep Learning.
- Strong expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
- Solid foundation in mathematics, statistics, algorithms, and probability.
- Experience in working with NLP, Computer Vision, Recommendation Systems, or Predictive Modeling.
- Knowledge of cloud platforms (AWS / GCP / Azure) for model deployment.
- Familiarity with MLOps tools and practices for lifecycle management.
- Excellent problem-solving skills and the ability to work in a collaborative environment.
Preferred Skills (Good to Have)
- Experience with Big Data frameworks (Hadoop, Spark).
- Exposure to Generative AI, LLMs (Large Language Models), and advanced AI research.
- Contributions to open-source projects, publications, or patents in AI/ML.
Work Mode & Interview Process
- Hybrid Model: 3 days in office (Bangalore) + 3 days remote.
- Interview: Candidate must be available for Face-to-Face L2 interview at Bangalore location.

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6-8 yrs experience
Fully Remote position
Max compensation - 45 LPA per annum (Full in hand)
Key Responsibilities
- Design, implement and maintain software to the demanding standards of a real time, highly concurrent distributed system.
- Working in conjunction with the rest of the development team, you will architect and build highly performant, scalable and extensible external APIs
- Collaborate with customers and internal stakeholders, at all levels, to continuously improve our product in a measured data-driven approach
- Learn quickly, adapt, and invent based on changing company needs and priorities
- Contribute to code reviews, tech talks, innovation drives and patents
Minimum Qualifications
- Excellent problem solving skills
- Bachelors in a computer science or other equivalent field
- Proficiency in deploying production systems using a major programming language like Java, Python, NodeJS or similar
- Excellent command over object oriented design and system design
- Experience building distributed systems and scaling them with high availability
- Ability to exercise autonomy rather than needing detailed direction and proactively get things done
Preferred Qualifications
- Experience in customer facing software development
- Proficiency building unit and performance tests to ensure reliability and scalability
- Experience in Artificial Intelligence, Machine Learning (ML) models, Natural Language Processing or Deep Learning is a plus
- Experience with cloud infrastructure such as AWS, GCP is a plus
Why work with us
- A small collaborative and excited team
- We value autonomy, allowing you to choose the configuration that makes you most productive
- Able to work remotely anywhere in Indian Standard Time
- Continuous learning and up-skill opportunities
- We love ideas, innovation and experiments!
- Competitive salary
Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.
KEY RESPONSIBILITIES OF THE POSITION :
- Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
- Solid understanding and experience of deep learning architectures and algorithms
- Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
- Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
- Should have experience of 2-3 production implementations of machine learning projects.
- Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
- Work with business analysts/consultants and other necessary teams to create a strong solution
- Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
- Should developing solutions using python in AI/ML projects
- Should be able to train and build a team of technical developers
- Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
- Desired to have knowledge on any of the cloud solutions such as Azure or AWS
- Desired to have knowledge on any of container technology such as Docker
- Should be able to build strong relationships with project stakeholders
Keywords:
- Python
- Artificial Intelligence
- Machine Learning
- AWS
- Django
- NLP
Responsibilities:
• Develop computer vision systems for enterprises to be used by hundreds of our
customers
• Enhance existing Computer vision systems to achieve high performance
• Prototype new algorithms rapidly, iterating to achieve high levels of performance
• Package these prototypes as robust models written in production level code to be
integrated into the product
• Work closely with the ML engineers to explore and enhance new product features
leading to new areas of business
Requirements:
Strong understanding of linear algebra, optimisation, probability, statistics
• Experience in the data science methodology from exploratory data analysis, feature
engineering, model selection, deployment of the model at scale and model evaluation
• Background in machine learning with experience in large scale training and
convolutional neural networks
• Deep understanding of evaluation metrics for different computer vision tasks
• Knowledge of common architectures for various computer vision tasks like object
detection, recognition, and semantic segmentation
• Experience with model quantization is a plus
• Experience with Python Web Framework (Django/Flask/FastAPI), Machine Learning
frameworks like Tensorflow/Keras/Pytorch







