Associate Data Science Engineer

1 - 5 years

0 Lacs

Posted:4 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As an Associate Data Science Engineer at our company, you will be responsible for implementing AI/ML solutions and developing cloud-native applications. You will work on cutting-edge AI technologies to build meaningful products and solutions. Here's what you will be doing: Responsibilities: - Perform high-level work independently and collaboratively as a project member. - Collaborate with the Product Management team to elicit AI/ML use case specific requirements and evaluate different approaches. - Develop Computer Vision, NLP, Deep Learning, and multi-modal Gen AI based application features and demos based on requirements. - Experiment with new tools, technologies, and frameworks in ML, DL, CV, and Gen AI technologies. Skills required: - 1+ years of experience in end-to-end project lifecycle of building AI applications. - Strong knowledge in Linear Algebra, Statistics, and Probability. - Proficiency in Python and Python data science ecosystem including Pandas, NumPy, SciPy, scikit-learn, and NLTK. - Experience with machine learning, deep learning, NLP/NLG frameworks like Keras, TensorFlow, PyTorch, HuggingFace Transformers, scikit-learn, spacy, and CoreNLP. - Understanding of deep learning models for computer vision tasks, image processing, object detection frameworks, and image classification. - Familiarity with Generative AI/LLMs models, frameworks, tools, and technologies. - Experience in Prompt Engineering, Langchain, and LlamaIndex. - Excellent analytical, problem-solving, and communication skills. Skills that would be great to have: - Experience in Vector search, RAG frameworks, Function Calling, Agentic Frameworks. - Exposure to Cloud-based services such as AWS (Preferred), Azure, or GCP. - Experience with async programming, RESTful APIs (FastAPI), and CI-CD, Containerization & Orchestration. - Familiarity with Scrum and/or other Agile development processes, MlOps, LLMOps, data visualization aspects. At Cognologix, you can expect: - Higher degree of autonomy, startup culture, and small teams. - Opportunities to become an expert in emerging technologies. - Remote working options for the right maturity level. - Competitive salary and family benefits. About Cognologix: Cognologix helps companies disrupt by reimagining their business models and innovate like a Startup. We take a business-first approach to help meet our clients" strategic goals. We are a Data focused organization helping our clients deliver their next generation of products in the most efficient, modern, and cloud-native way.,

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