Binary Semantics Ltd
is a client centric global software development company offering IT services, Consulting services and Knowledge services across several industry segments such as Automobiles, Manufacturing, FMCG, Technology, Insurance, Travel, Hospitality and B2B Publishing.
Our global operations spread across USA, Canada, Europe and India have won over 150 satisfied customers.
We leverage our strong technology expertise and deep industry knowledge to develop customized solutions and services to fit your needs.
Our Robust Processes and Methodologies have been successfully tried and tested for over three decades with our clients.
We have strong software engineering and service processes.
Our operations have been certified as ISO 9001: 2015 & ISO 27001:2013 and we are CMMI Level 3 certified.
Binary Semantics Insurtech Services
Strong presence in BFSI segment for more than a decade.
Considered among top Insurtech Companies of India.
A team of 150+ technology professionals working in Fintech vertical.
Serving some of the most well-known Global and Indian Automobile brands.
Doing exemplary work in Technology areas such as Microsoft .NET, MVC, Cloud Services, AI, Machine Learning etc.
Job Description
As a Machine Learning Engineer specializing in cognitive services, you will play a critical role in developing, optimizing, and deploying machine learning models that enhance the intelligence of our software products.
You will work with cross-functional teams to create intelligent applications and services that understand and respond to natural language, images, and more.
Key Responsibilities
- Design, develop, and implement machine learning models and algorithms for cognitive services.
- Collaborate with data scientists, software engineers, and product managers to define project requirements and deliver innovative solutions.
- Optimize machine learning models for scalability, efficiency, and performance.
- Participate in data collection, labeling, and preprocessing efforts to support model training.
- Stay up-to-date with the latest advancements in machine learning and cognitive services.
- Conduct research to identify the best AI and ML practices for our applications.
Skills Required
- Bachelor's or Master's degree in computer science, machine learning, or related field.
- 2+ years of practical experience in machine learning, deep learning, and natural language processing.
- Proficiency in machine learning frameworks (e.g, TensorFlow, PyTorch) and libraries.
- Strong programming skills in languages such as Python.
- Experience in deploying machine learning models into production environments.
- Knowledge of cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker).
- Excellent problem-solving and analytical skills.
- Strong communication skills and the ability to collaborate effectively in a team.
- Understanding of vector databases.
Good To Have
- Experience with computer vision and image recognition.
- Knowledge of speech recognition and audio processing.
- Familiarity with chatbots and virtual assistants.
- Understanding of reinforcement learning.
- Open-source contributions or personal machine learning projects.
- Any relevant certifications in machine learning or artificial intelligence.
- Understanding of the principles of Generative AI or LLM models.
(ref:hirist.tech)
