Senior Data Science Engineer
Pune, Maharashtra, India
Work Type: Full Time
Sr. Data Science Engineer
We are seeking an experienced Data Science 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 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
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 RD 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
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