Job Description: Data Scientist – Indore
We are looking for an experienced and highly motivated Data Scientist to join our team in Indore. This role offers the opportunity to work on cutting-edge AI solutions, particularly in the realm of language processing and natural language understanding (NLP). As a key member of our team, you will play a crucial role in developing, deploying, and optimizing AI models for various language-related tasks. The ideal candidate will have a strong background in machine learning (ML), proficiency in programming languages like Python and JavaScript, and a keen interest in working with cloud technologies such as AWS.
Key Responsibilities:
Model Development & Optimization: You will be responsible for building and improving models for language processing tasks. This includes techniques like text classification, sentiment analysis, named entity recognition, and intent classification. The goal is to enhance the performance of existing models and adapt them for specific business requirements.
Language Model Expertise: Familiarity with popular language models like GPT and BERT is crucial. You should be comfortable fine-tuning or adapting these models to meet unique project needs, ensuring that they are effective and accurate in the given context.
Cloud Services & Serverless Architectures: We are looking for someone with experience in cloud computing, specifically with the AWS ecosystem. The ability to effectively deploy, manage, and scale AI solutions using serverless architectures is essential for this role.
API Development: As a Data Scientist, you will also need to design and implement APIs that integrate machine learning models into existing applications or services. Your ability to create seamless interfaces for model deployment and usage is key.
NLP Frameworks & Libraries: You will work with various NLP libraries such as scikit-learn, NumPy, NLTK, and SpaCy to preprocess data, extract features, and fine-tune models. Knowledge of TensorFlow, PyTorch, and Transformers will be beneficial for implementing deep learning models and other complex AI techniques.
AI Controllability & Ethical Considerations: In this role, you will be expected to consider the ethical implications of AI, particularly around privacy, bias, fairness, and transparency. You will work within legal and ethical guidelines to ensure that AI systems are developed and deployed responsibly.
Continuous Learning: As the field of AI/ML is rapidly evolving, you will need to stay updated on the latest trends, techniques, and best practices. The ability to learn continuously and apply new knowledge to improve models and solutions is crucial.
Required Skills:
Programming Languages: Strong proficiency in Python and JavaScript is required. These languages will be used for building machine learning models, data processing, and integrating AI solutions with other systems.
Cloud & Serverless Experience: Experience with cloud platforms, particularly AWS, and understanding of serverless architectures will be an advantage, as they are key components in deploying and managing AI models.
Machine Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, and Transformers is essential for developing, training, and deploying machine learning models.
NLP Knowledge: In-depth knowledge of natural language processing techniques and frameworks (e.g., scikit-learn, SpaCy) for solving language-related tasks.
Agile Methodologies: Experience with Agile/Scrum methodologies, including tools like JIRA, will help you collaborate effectively with the development team and manage project timelines.
Communication Skills: Strong verbal and written communication skills are essential to explain technical concepts to both technical and non-technical stakeholders. You must be able to collaborate effectively and advocate for software engineering best practices such as version control, documentation, and test-driven development.
Collaboration & Problem Solving:
Teamwork: You will work closely with developers and cross-functional teams to ensure that AI solutions are developed efficiently and meet business requirements. Collaboration is key to success in this role.
Innovative Thinking: You should be able to solve complex AI challenges with innovative solutions, leveraging your knowledge and experience to push the boundaries of what’s possible.
Independent Work: While collaboration is important, you must also have the ability to work independently and manage your tasks effectively.
Desired Experience:
Domain Experience: Experience in the insurance domain would be an added advantage, as it will provide context for the data and models you work with.
Ethical AI Awareness: Understanding of ethical AI practices, including the consideration of fairness, privacy, and transparency, is essential for the responsible development of AI systems.
Recruitment Fraud Warning:
We are committed to protecting applicants from fraudulent recruitment practices. DXC will never ask for money or payment at any stage of the recruitment process. If you are contacted by someone claiming to be from our company but asking for personal information or payments, please report the incident immediately.