Job Description

OptiSol is a full services digital solutions partner for Start-ups and Enterprises worldwide. We work on cutting edge digital solutions AI/ML, Modern Web and Mobile, Enterprise Cloud and Microservices. We are 100 PERCENT Agile embracing modern application development strategies.
People and Culture are our greatest differentiators. We are growing stronger with 300 team focused on new age software development for the digital world. We invite people with Growth Mindset to join us in our endeavour to create a better world through cutting edge digital solutions for our customers.

Position Summary:
OptiSol DataLabs, the AI/ML team here, builds cutting edge Date Analytics and Machine Learning solutions in Computer Vision and Text Analytics for our worldwide customers.
As a Machine learning engineer, you will be expected to build and deploy data analysis pipelines in the cloud. To work closely with our DevOps, Data Ops, Cloud and Mobility teams to build solutions that utilize the data pipelines. To be a good communicator and intrinsically motivated to learn new skills and work independently. To be an able leader and mentor other team members.
We are a tribe of happy people excited about problem-solving. Our team is geographically distributed, we speak many languages and we come from a variety of culture backgrounds. We are rapidly expanding, and we are looking for passionately curious people obsessed with customer happiness.

Experience required:1 to 5 years
Reporting to: Technical Manager

Skills Required:
Contribute towards building data pipelines in AWS, utilizing a variety of services.
Contribute to data strategy for our clients through research into best practices or prior experience.
In depth knowledge of Python and its data analysis and machine learning packages like Scikit Learn, OpenCV, TensorFlow, Keras, PyTorch etc.
Prior exposure to cloud platforms (preferable AWS) to deploy data pipelines and to use AWS tools/services like AWS SageMaker, Kinesis, MLFlow etc.,
Good familiarity with building RESTful APIs using FastAPI and other similar tools.
Proficient understanding of code versioning tools, such as Git/Bitbucket.
Experience with SQL/NoSQL databases
Experience working with GPU for model training.
Experienced in analyzing data and train ML models for variety of use cases and data types like video, text, sensor etc.
Aptitude and Motivation is learning new tech stack and platforms.

Salary Range : 6 to 12 LPA
Education: Any Graduate
Industry: IT-Hardware/Networking, Telecom

Skills Required