Job
Description
Excellent opening for Sr. Data Science Engineer, please find below JD for reference. We are seeking an experienced Data Science Engineer with 5-7 years of experience to design and implement advanced AI/ML solutions. The role focuses on developing AI applications and developing cloud-native solutions. You will work on: We are looking for self-driven Data Professional to be a key member of our Data & AI 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: Pune 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 approachesOwn the end-end process, from recognizing the problem to implementing the solutionDevelop Computer Vision, NLP, Machine learning, Deep Learning, Gen AI based applications & demos according to the 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):5-7 years of end to end project lifecycle experience (Analysis, Design, Development, Testing, Deployment & Monitoring) in building enterprise grade AI applicationsSound knowledge in Linear Algebra, Statistics, ProbabilityStrong Knowledge & Experience in Python and Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK etc.Experience in various ML Algorithms (like KNN, SVM, Regression, Decision Trees, K-Means, Naive Bayes, GBM and Decision Forests 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, CoreNLP etc.)Proficiency in designing, training, and deploying deep learning models for computer vision tasks.Experience with image processing, filtering, object detection frameworks (e.g., YOLO, Faster R-CNN, Mask R-CNN), image segmentation techniques (semantic, instance, panoptic), and image classification.Experience in Generative AI /LLM’s frameworks, tools & technologiesExperience in Prompt Engineering & Langchain / LlamaIndex, Vector search, RAG frameworks, Function Calling, Agentic Frameworks, Document ProcessingExperience in Cloud-based services such as AWS (Primary), Azure or GCPUnderstanding of how to operationalize these models to run in an automated contextStrong development experience using Python and SQL (including DB Design & Complex query optimizations).Experience with async programming and RESTful APIs (FastAPI)Sound understanding of CI-CD, Containerization & OrchestrationExcellent analytical, problem solving and communication skills Great if you know (Skills):Experience with Scrum and/or other Agile development processesExposure to MlOps, LLMOps – model and experiment versioning, hyper parameter tuning, model deployment and monitoring aspectsSound understanding of data visualization aspectsAbility to lead R&D and POC efforts . Experience in pre-sales is desirable.A track record of delivery within a number of large-scale projects, demonstrating ownership of architecture solutions and managing changeExperience in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources Advantage Cognologix:A higher degree of autonomy, startup culture & small teamsOpportunities to become an expert in emerging technologiesRemote working options for the right maturity levelCompetitive salary & family benefitsPerformance based career advancement About Cognologix:Cognologix helps companies disrupt by reimagining their business models and innovate like a Startup. We are at the forefront of digital disruption and take a business-first approach to help meet our client’s strategic goals.We are a Data focused organization helping our clients to deliver their next generation of products in the most efficient, modern, and cloud-native way.
