Job Description

We are looking for self driven Data Professional to be a key member of our Data Practice. We help many of our clients make sense of their large investments in data be it building analytics solutions or machine learning applications or Generative AI based solution. You will work on cutting edge cloud-native technologies to build meaningful insights. Job Location: Bengaluru / Hyderabad / Kolkata / Mumbai What you will do (Responsibilities): Perform high-level work both independently and collaboratively as a project member or leader on multiple projects. Collaborate with Product Management team, elicit AI/ML use case specific requirements, explore and evaluate approaches Own the end-end process, from recognizing the problem to implementing the solution Develop NLP, Machine learning, Deep Learning, Gen AI based applications demos according to pre-sales requirements and needs . Select appropriate datasets and data representation methods. Explore new tools, technologies, frameworks in ML, DL, Gen AI technologies and experiments. Keep abreast of developments in the field. Mentor, guide junior team members What you bring (Skills): Sound knowledge in Linear Algebra, Statistics, Probability various ML Algorithms (like KNN, SVM, Regression, Decision Trees, K-Means, Naive Bayes, GBM and Decision Forests etc ) Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK etc Familiarity with deep learning, machine learning and NLP/NLG frameworks (like Keras , TensorFlow or PyTorch etc), HuggingFace Transformers and libraries (like scikit-learn, spacy, gensim , CoreNLP etc) Experience with Natural Language Processing, Natural Language Understanding and Deep Learning algorithms Familiarity with deep learning architectures used for text analysis, computer vision and signal processing. Experience in Generative AI /LLM s frameworks technologies Experience in Prompt Engineering Langchain / LlamaIndex, Vector search, RAG frameworks, Agents Experience in Cloud-based services such as AWS (Primary), Azure or GCP Understanding of how to operationalize these models to run in an automated context Strong development experience using Python or R and SQL Excellent analytical, problem solving and communication skills Great if you know (Skills): Experience with Scrum and/or other Agile development processes Exposure to MlOps model and experiment versioning, hyper parameter tuning, model deployment and monitoring aspects Sound understanding of data visualization aspects Ability to lead RD and POC efforts . Experience in pre-sales is desirable. Team player with self-drive to work independently A track record of delivery within a number of large-scale projects, demonstrating ownership of architecture solutions and managing change Experience in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources Advantage Cognologix: A higher degree of autonomy, startup culture small teams Opportunities to become an expert in emerging technologies Remote working options for the right maturity level Competitive salary family benefits Performance based career advancement