Senior Data Science Engineer

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 Computer Vision, NLP, Deep Learning, multi-modal 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, CV, Gen AI technologies and experiments.
  
• Keep abreast of developments in the field.
  
• Mentor, guide junior team members
  

What you bring (Skills):

• 6+ years of end-to-end project lifecycle experience (Analysis, Design, Development, Testing, Deployment & Monitoring) in building enterprise grade AI applications
  
• Sound knowledge in Linear Algebra, Statistics, Probability
  
• Strong Knowledge & Experience in Python and Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK etc.
  
• Experience 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 or Strong understanding of vision transformer models & architecture, application in Computer Vision problems
  
• Sound Knowledge of Generative AI /LLM’s models, frameworks, tools & technologies.
  
• Experience in Prompt Engineering & Langchain / LlamaIndex, Vector search, RAG frameworks, Function Calling, Agentic Frameworks, Document Processing
  
• Experience in Cloud-based services such as AWS (Preferred), Azure or GCP
  
• Strong Experience in Productionizing / Operationalize the AI models to run in an automated context
  
• Strong 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 & Orchestration
  
• Excellent analytical, problem solving and communication skills
  

Great if you know (Skills):

• Experience with Scrum and/or other Agile development processes
  
• Exposure to MlOps, LLMOps – 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.
  
• 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: