Hiring for Data Scientist 2 at Bangalore, Karnataka, India Full Time

Job Description

Ninjacart – Pioneer. Challenge Yourself. Create Better Lives.
Ninjacart is a pioneer in agritech. We believe in fostering a culture of innovation. We develop professionals who pioneer new ideas, simplify customer experiences, and impact the lives of millions. Our employees take complete ownership and truly belong. Ninjacart is India’s leading agri-platform, which leverages technology and data to organize the agricommerce ecosystem. Over the last 8 years, our made-for-India technology and India-centric solutions have disrupted the way fruits and vegetables move from farms to consumers’ plates. We empower farmers and other players in the ecosystem in ways never done before. Ninjacart aims to be the digital network for global agri-commerce that solves structural problems such as information asymmetry, payment hassles, distribution inefficiency, and discovering new buyers and sellers with tech-first solutions.
Ninjacart has raised over $350mn from Walmart Group, Tiger Global, Accel US, Accel India, Syngenta, and others. We are one of the top 25 startups to work for, according to Linkedin. We are a highly motivated, results driven community, who focus on proactive approaches to problem solving. We cherish entrepreneurial spirit and provide significant operating autonomy to senior leaders. There are ample opportunities and challenges to be solved at scale and in real-time.
Location: Bangalore, KA, IN
About Team
The Ninjacart technical team boasts of a varied group of professionals from different backgrounds, including programming, design, architecture, databases, devops, security, analytics & machine learning etc. These professionals have a rich experience of numerous years in building cloud based distributed applications for organizations around the world. If there is one thing that excites our technical team, it is that unsolved problem in the agricultural sector that can benefit from a digital solution and bring about a change in many lives.
Our teams work to create what is perhaps the first and the biggest agricultural ecosystem in the world. The ecosystem, which includes the Ninjacart Commerce and Trading platforms, includes farmers, traders, millers, transporters, warehousers, and other entities who contribute to the agriculture business. In our efforts, we strive to extract that lat bit of efficiency that can help optimize costs and yet maximize returns for all players involved.
Responsibilities
Advanced ML Modeling learning applications.
– Collaborate with front-end and back-end developers to integrate machine learning models into web-based applications.
– Implement MLOps practices to streamline the machine learning lifecycle, including model versioning, deployment, and monitoring.
– Use tools such as DVC and MLflow to manage and track experiments, artifacts, and models.
DevOps Integration
– Collaborate with DevOps teams to ensure seamless integration of machine learning models into production environments.
– Implement CI/CD pipelines for machine learning workflows. Algorithmic Innovation pipeline.
– Propose and implement novel approaches to improve model performance and efficiency.
Classic Machine Learning & Mathematical Modelling
– Develop and implement classic machine learning algorithms such as linear regression, decision trees, and support vector machines to solve business problems.
– Design and optimize mathematical models for predictive analytics and forecasting, leveraging statistical methods and mathematical principles.
Data Analytics & Feature Engineering
– Conduct thorough exploratory data analysis to uncover patterns, correlations, and trends in complex datasets, driving actionable insights.
– Lead the feature engineering process, including the creation, selection, and transformation
Full Stack ML Engineering
– Utilize FastAPI and Streamlit to develop user-friendly and interactive machine learning applications.
Algorithmic Innovation
– Stay abreast of the latest developments in classical machine learning, NLP, LLM, computer vision and deep learning, and contribute to the company’s innovation pipeline
A Ninja is resilient, smart, and ambitious. Sounds like you? Here’s what you will need to have to join the Ninja Clan –
– Proficiency in Python and experience with relevant libraries and frameworks, including TensorFlow, PyTorch, OpenCV, FastAPI, Streamlit, DVC, and MLflow.
– Excellent problem-solving skills and the ability to work independently or collaboratively. Collaboration and Cross- Functional Teamwork
– Collaborate with machine learning engineers, data scientists, & software developer
– Provide mentorship and technical guidance to junior team members.
– Bachelor’s or Master’s in Computer Science, Machine Learning, or a related field.
– Minimum of 3 years of proven experience in developing and deploying NLP solutions, computer vision, deep learning, and classical machine learning models.
– Strong understanding of classical ML techniques, mathematical modelling, statistical analysis, deep learning architectures and data platforms.
– Experience with MLOps practices and DevOps integration. – Collaborate with cross-functional teams to translate business requirements into effective machine learning solutions and model frameworks. A