Role: ML Scientist
Exp: 4-7 years/-7+ years
Location: Bangalore
About Saarthee:
Saarthee is global analytics consulting firm unlike any other, where our passion for helping others fuels our approach and our products and solutions. We are a one-stop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthee’s holistic and tool agnostic approach along with ability delivery strategic actionable insights is unique in the marketplace. Our Analytics Value Chain framework meets our customers where they are in their data journey. Our diverse and global team of skilled data engineers, data analysts, and data scientists work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights-fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit ‘Saarthi’, which means charioteer, trusted guide, or companion. Co-founded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India.
Position: ML Scientist
Location: Bangalore
Position Summary:
The Machine Learning Scientist is tasked with enhancing interactions across user gaming experiences and systems. This involves designing, coding, training, documenting, deploying, and evaluating large-scale machine learning systems in a cost-effective manner. We seek individuals capable of creating exceptional products and experiences for millions of users within an agile environment, collaborating seamlessly with other teams. Moreover, you'll have the opportunity to immerse yourself in cutting-edge ML technologies, tools, and processes, contributing to the advancement of our technical objectives and architectural initiatives.
As an ML Scientist, you will be responsible for the design and development of machine learning models and algorithms tailored to a variety of applications. Your tasks will involve not only the implementation but also the optimization of these models. Additionally, you'll collaborate closely with cross-functional teams to seamlessly integrate these machine learning models into production systems. It will be crucial to stay abreast of the latest advancements in machine learning and AI technologies to ensure our solutions remain cuttingedge and effective. You'll coordinate with multiple stakeholders across the globe.
Your Role Responsibilities and Duties:
• Develop, implement, and optimize machine learning models for various applications, including predictive safety, content personalization, search, virtual assistant, time series forecasting, and clustering.
• Utilize a wide array of state-of-the-art machine learning and deep learning technologies to address diverse machine learning problems such as multilingual text classification, language modelling, and multi-modal learning.
• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
• Conduct thorough exploratory data analysis to uncover patterns, trends, and valuable insights.
• Deploy machine learning models into production environments using AWS services and implement scalable and efficient solutions for real-time and batch predictions.
Required Skills and Qualifications:
• Bachelor’s degree in computer science, Engineering, Statistics, or a related field.
• 4+ years of working experience in at least one of the advanced machine learning areas including computer graphics, reinforcement learning, recommendation system, and natural language processing.
• 7+ years of Team Leading or Team Management experience is must.
• Proficiency in the Python programming language and experience with PyTorch, TensorFlow, or similar frameworks.
• Experience in designing and implementing machine learning-based solutions that ideally include online safety, voice-activated conversational systems, recommender systems, search engines, personalization, time series forecasting, and A/B testing.
• Strong machine learning, statistical and analytical skills.
What we Offer:
• Bootstrapped and financially stable with high pre-money evaluation.
• Above industry renumerations.
•Additional compensation tied to Renewal and Pilot Project Execution.
• Additional lucrative business development compensation.
• Chance to work closely with industry experts driving strategy with data and analytics.
• Firm building opportunities that offer stage for holistic professional development, growth, and branding.
• Empathetic, excellence and result driven organization. Believes in mentoring and growing a team with constant emphasis on learning