We are seeking an experienced Sr. AI Product Engineer with 4‑6 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 AI 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 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)
- 4‑6 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 the Python data science ecosystem: Pandas, NumPy, SciPy, scikit‑learn, NLTK, etc.
- Experience with deep learning, machine learning and NLP/NLG frameworks (Keras, TensorFlow or PyTorch, HuggingFace Transformers, ...).
- Proficiency in designing, training, and deploying deep learning models for computer vision tasks.
- Experience with image processing, filtering, object detection frameworks (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 models, frameworks, tools & technologies.
- Experience in Prompt Engineering & Langchain / LlamaIndex, vector search, RAG frameworks, function calling, agentic frameworks, document processing.
- Experience with cloud‑based services such as AWS (preferred), Azure or GCP.
- Strong experience in productionizing / operationalizing 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.
Benefits
- 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 products in the most efficient, modern, and cloud‑native way.