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
- 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
- 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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