HCLTech
Location
Bangalore | India
Job description
HCL Technologies is a next-generation global technology company that helps enterprises reimagine their businesses for the digital age. Our technology products and services are built on four decades of innovation, with a world-renowned management philosophy, a strong culture of invention and risk-taking, and a relentless focus on customer relationships. HCL also takes pride in its many diversity, social responsibility, sustainability, and education initiatives. Through its worldwide network of R&D facilities and co-innovation labs, global delivery capabilities, and over 197,000+ Ideapreneurs across 52 countries, HCL delivers holistic services across industry verticals to leading enterprises, including 250 of the Fortune 500 and 650 of the Global 2000.
Location: Chennai /Bangalore/Hyderabad/Noida Exp:6-12 yrs Job Description: Qualifications Masters / PhD degree in Computer Science Educational qualifications preferably in STEM fields. Mandatory Skills Utilize advanced statistical analysis and mathematical modeling to derive actionable insights from complex datasets, employing programming proficiency in Python. Develop innovative solutions to intricate problems through strong problem-solving and critical-thinking skills, ensuring a robust foundation for decision-making. Employ data visualization techniques to interpret and communicate findings effectively, enhancing the understanding of complex data structures. Leverage Natural Language Processing (NLP) skills to extract meaningful information from textual data, employing techniques such as text mining, Named Entity Recognition (NER), and sentiment analysis. Apply language modeling methodologies, including BERT and GPT, for sophisticated language understanding and generation. Execute information retrieval, text summarization, part-of-speech tagging etc to uncover patterns and insights within textual information. Apply supervised and unsupervised learning techniques, deep learning frameworks like TensorFlow or PyTorch, and ensemble learning methods to build and evaluate machine learning models. Utilize transfer learning and feature engineering to enhance model performance and adapt to diverse applications. Demonstrate expertise in data preprocessing, including cleaning, handling missing data, tokenization, stemming, and text normalization. Apply vectorization techniques such as TF-IDF and Word Embeddings to represent textual data effectively. Harness the power of frameworks and libraries like NLTK, Spacy, Scikit-learn, Gensim, Hugging Face Transformers, Keras, Pandas, and NumPy for comprehensive data manipulation and analysis. Utilize SQL for efficient data querying and manipulation, with experience in big data technologies like Apache Spark and familiarity with NoSQL databases such as MongoDB. Create compelling data visualizations using tools like Matplotlib, Seaborn, Plotly, and Tableau, enhancing the accessibility and impact of data-driven insights. Implement version control using Git, ensuring efficient collaboration and maintaining high-quality, well-documented Python code. Foster collaboration through the use of Jupyter Notebooks for interactive data analysis and contribute to documentation using tools like Sphinx and Read the Docs. Stay informed about the latest advancements in AI/ML research and development, incorporating new techniques and methodologies into ongoing projects. Demonstrate understanding and expertise in AI Chatbots, document search, supervised learning, unsupervised learning, video analytics, image analytics, and various analytics methodologies. Proficiency in developing applications leveraging Generative AI and Large Language Models (LLM) using frameworks such as Langchain and Llama-Index is advantageous. Experience in constructing conversation agents through Large Language Models (LLM) and RAG-based applications, coupled with a deep understanding of LLM agentic frameworks, is a plus. Good To Have Skills Familiarity with cloud platforms such as AWS, GCP, and Azure, and the ability to develop solutions within these environments, is considered an added advantage. A solid grasp of MLOps concepts and the ability to navigate through MLOps lifecycles are additional skills. If you are interested in exploring this job profile, please share your updated resume to [email protected] for detailed discussion.Job tags
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