Data Science Engineer

3+ years of experience

You Will Work On

Pune

What You Will Do (Responsibilities)

• Perform high-level work both independently and collaboratively as a project member.
• Collaborate with Product Management team, elicit AI/ML use case specific requirements, explore and evaluate approaches
• 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.
• Mentor, guide junior team members
  

What You Bring (Skills)

• 3+ 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 machine learning, deep learning, and/or NLP/NLG frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, CoreNLP etc.)
• Knowledge of training and deploying deep learning models for computer vision tasks.
• Knowledge of image processing, filtering, object detection frameworks (e.g., YOLO, Faster R-CNN, Mask R-CNN), image segmentation techniques (semantic, instance, panoptic), and image classification.
• Sound Knowledge in 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
• 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
  

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

Minimum Experience

Top Skill

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