With excellent analytical and problem-solving skills, you should understand business problems of the customers, translate them into scope of work and technical specifications for developing into Data Science projects. Efficiently utilize cutting edge technologies in AI areas (Machine Learning, NLP, Computer Vision) and development of solutions for business problems. Good exposure technology platforms for Data Science, AI, Gen AI, cloud with implementation experience. Ability to understand data, requirements, design and develop a Machine Learning Model for the requirements. This Job requires the following:
- Designing, developing, and implementing end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)
- Experience in predictive analytics and statistical modeling
- Experience in successfully making use of the following: Logistic Regression Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms,



Optimization, CNN

Essential Qualifications
B-Tech or BE - computer / IT or MCA or MSC- Computer Science along with necessary certifications is preferred
Technical Qualifications (Essential)
- Hands-on programming experience
- Hands-on technical design experience
- Hands-on prompt engineering experience
- Design and Development of at least 3 Data Science, AI Projects with design and development of Machine Learning models
- 1 Generative AI Project designed, developed and delivered to production is desirable

Primary Skills
- Hands-on coding experience in Python, PyTorch, Spark/PySpark, SQL, TensorFlow, NLP Frameworks and similar tools/frameworks
- Valuable understanding of business and domain of the applications
- Hands-on experience in design and development of Gen AI applications using Open Source LLMs and cloud platforms
- Hands-on experience in design and development of API based applica

📌 ML Engineer (Vadodara)
🏢 Rishabh Software Private
📍 Vadodara