Associate Data Science Engineer

<div><strong>Associate Data Science Engineer</strong></div><div>We are seeking an experienced Data Science Engineer with <strong>1+ years of experience</strong> implementing AI/ML solutions. The role focuses on developing AI applications and developing cloud-native solutions.</div><div><strong>&nbsp;</strong></div><div><strong>You will work on:&nbsp;</strong></div><div>We are looking for a self-driven Data Science Professional to be a member of our Data &amp; AI Practice. We help many of our clients in building advanced analytics solutions (from traditional ML to deep learning, Computer Vision, Gen AI &amp; Automation). You will work on some of the cutting-edge AI technologies to build meaningful products &amp; solutions.</div><div>Job Location: <strong>Pune</strong></div><div><br></div><div><strong>What you will do (Responsibilities):</strong></div><ul style="margin-top:0cm;" type="disc"><li>Perform high-level work both independently and collaboratively as a project member.</li><li>Collaborate with Product Management team, elicit AI/ML use case specific requirements, explore and evaluate approaches</li><li>Develop Computer Vision, NLP, Deep Learning, multi-modal Gen AI based application features &amp; demos according to the requirements and needs.</li><li>Explore new tools, technologies, frameworks in ML, DL, CV, Gen AI technologies and experiments.</li></ul><p style="margin-left:36.0pt;"><br></p><div><strong>What you bring (Skills):</strong></div><ul style="margin-top:0cm;" type="disc"><li>1+ years of <strong>end-to-end project lifecycle experience</strong> (Analysis, Design, Development, Testing, Deployment &amp; Monitoring) <strong>in building AI application</strong></li><li>Sound knowledge in Linear Algebra, Statistics, Probability</li><li><strong>Strong Knowledge &amp; Experience in Python and Python data science ecosystem</strong>: Pandas, NumPy, SciPy, scikit-learn, NLTK etc.</li><li><strong>Experience with machine learning, deep learning,&nbsp;</strong>and/or NLP/NLG frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, CoreNLP etc.)</li><li>Sound Knowledge of deep learning models for computer vision tasks.</li><li>Understanding of<strong>&nbsp;image processing, Object detection frameworks</strong> and <strong>image classification</strong> areas</li><li>Sound Knowledge in Generative AI /LLM’s models, frameworks, tools &amp; technologies.</li><li>Experience in Prompt Engineering &amp; Langchain / LlamaIndex.</li><li><strong>Excellent analytical, problem solving and communication skills</strong></li></ul><div><br></div><div><strong>Great if you know (Skills):</strong></div><ul style="margin-top:0cm;" type="disc"><li>Experience in Vector search, RAG frameworks, Function Calling, Agentic Frameworks</li><li>Exposure to Cloud-based services such as AWS (Preferred), Azure or GCP</li><li>Experience with async programming and RESTful APIs (FastAPI)</li><li>Sound understanding of CI-CD, Containerization &amp; Orchestration</li><li>Experience with Scrum and/or other Agile development processes</li><li>Exposure to MlOps, LLMOps – model and experiment versioning, hyper parameter tuning, model deployment and monitoring aspects</li><li>Sound understanding of data visualization aspects</li></ul><div><strong>&nbsp;</strong></div><div><strong>Advantage Cognologix:</strong></div><ul style="margin-top:0cm;" type="disc"><li>A higher degree of autonomy, startup culture &amp; small teams</li><li>Opportunities to become an expert in emerging technologies</li><li>Remote working options for the right maturity level</li><li>Competitive salary &amp; family benefits</li><li>Performance based career advancement</li></ul><div><br></div><div><strong>About Cognologix:</strong></div><div>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.</div><div>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.</div><div><br></div>