Sr. Data Science Engineer

We are seeking an experienced Sr. AI Product Engineer with 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):

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

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.