Senior Cloud-Native Data Scientist

3 weeks ago

Pune, Maharashtra, India Cognologix Technologies Full time

Cognologix Technologies is looking for a Senior Cloud-Native Data Scientist to join our team. In this role, you will be working on cutting-edge cloud-native technologies to build meaningful insights for our clients. You will collaborate with our Product Management team to elicit AI/ML use case specific requirements, explore and evaluate approaches, and own the end-to-end process from recognizing the problem to implementing the solution.

As a Senior Cloud-Native Data Scientist, you will develop NLP, Machine learning, Deep Learning, Gen AI based applications & demos according to pre-sales requirements and needs. You will select appropriate datasets and data representation methods, explore new tools, technologies, frameworks in ML, DL, Gen AI technologies and experiments, and keep abreast of developments in the field. Additionally, you will mentor, guide junior team members.

Key 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-to-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.

Technical Requirements:

  • 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.

Preferred Requirements:

  • 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 R&D 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.

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.

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