Birlasoft New Hiring: An exciting opportunity is waiting for skilled professionals who are ready to begin an exciting journey driven by data with Birlasoft. Birlasoft is seeking someone who is enthusiastic and knowledgeable. Associate Data Scientist to help develop contribute to AI as well as machine-learning solutions within an environment that is innovative. The job focuses on creating intelligent systems that are tailored to specific industries like Banking and Financial Services (BFSI), Energy & Utilities (EnU), Life Sciences as well as Manufacturing. The job is full-time and is based in Pune and offers an exciting environment for those with minds who are passionate about AI and the field of data sciences.
Key Responsibilities
The person selected for the position will play an integral part in shaping machine learning strategies and the implementation of AI-driven applications that improve decision-making in the enterprise and operational efficiency. Your daily responsibilities will include:
- AI/ML Design Solution Create and implement AI/ML models, machine learning and other artificial Intelligence systems that are customized to handle complex business processes in many areas.
- Cross-Functional Collaboration Engage in collaboration with data engineers, business analysts as well as domain specialists to discover and understand requirements, while ensuring models are aligned with the real-world business objectives.
- Complete Project Management Conduct full project cycles that include the collection of data and feature engineering, as well as testing, model training deployment, and performance monitoring.
- Algorithm Optimization Research and choose the best machine learning algorithms as well as tools and frameworks to ensure model accuracy scaleability, interpretability, and accuracy.
- Innovation and Research Learn about the latest AI technologies, such as deep learning, generative models and neural language processing to develop new solutions that promote innovation.
- Model Governance, and Compliance Set guidelines for data governance ethical AI use and model versions to ensure transparency, fairness and the ability to reproduce in every project.
- Education and Sharing of Knowledge – Mentor junior data scientists and developers by creating an environment that promotes learning as well as collaboration and technological excellence.
- Stakeholder Communications – Communicate complicated AI results and insights to business leaders and managers in a simple non-technical style, allowing efficient decision-making.
Desired Skills and Qualifications
The ideal candidates for the position of Associate Data Scientist must possess a combination of technical proficiency as well as analytical thinking and innovative problem-solving capabilities. These qualifications are highly desirable:
- Bachelor’s or Master’s degree Computer Science, Data Science, Statistics, Mathematics, or a similar area.
- A thorough knowledge the machine-learning algorithm, such as regression, clustering, decision trees techniques for ensembles and neural networks.
- Experiential experience with programming languages, such as Python and R.
- Practical exposure to frameworks and libraries like TensorFlow, PyTorch, scikit-learn and Keras.
- Experience in data processing features selection, data preprocessing, and modeling optimization methods.
- Expertise in SQL and Data visualization software, as well as cloud platforms like AWS, Azure, or Google Cloud.
- A working knowledge of the business uses that use AI within BFSI, Energy & Utilities as well as Life Sciences domains will be an advantage.
- Ability to handle large data sets and evaluate model performance and refine results to meet the needs of production environments.
- Excellent communications and presentation skills are required to effectively engage with technical and non-technical stakeholder.
- Innovative mind-set with the capability to lead AI projects from idea to implementation.
How to Apply
Interested applicants can learn more about the job opening by visiting the Birlasoft jobs page. Interested candidates can apply via the portal for job applications. Sending a resume that is updated and highlighting data science-related projects, hands-on equipment and programming expertise can help you get a better chance of being selected.