Job Description & How to Apply Below
We are seeking an experienced AI Product Engineer with 3+ years of experience to design and implement advanced AI/ML solutions. The role focuses on developing AI applications and developing cloud-native solutions.
You will work on:
We are looking for a self-driven Data Science Professional to be a key member of our Data & AI Practice. We help many of our clients in building advanced analytics solutions (from traditional ML to deep learning, Computer Vision, Gen AI & Automation). You will work on some of the cutting-edge AI technologies to build meaningful products & solutions.
Job Location:
Pune
Requirements
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, Num Py, Sci Py, scikit-learn, NLTK etc.
Experience with machine learning, deep learning, and/or NLP/NLG frameworks (like Keras, Tensor Flow or PyTorch etc.), Hugging Face 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 / Llama Index, 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
Benefits
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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