Senior Data Science Engineer

Sr. Data Science Engineer
We are seeking an experienced Data Science Engineer with 5-7 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 self-driven Data Professional to be a key member of our Data & AI Practice. We help many of our clients make sense of their large investments in data – be it building analytics solutions or machine learning applications or Generative AI based solution. You will work on cutting edge cloud-native technologies to build meaningful insights.
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, Machine learning, Deep Learning, 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, Gen AI technologies and experiments.
• Keep abreast of developments in the field.
• Mentor, guide junior team members

What you bring (Skills):

• 5-7 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 in various ML Algorithms (like KNN, SVM, Regression, Decision Trees, K-Means, Naive Bayes, GBM and Decision Forests etc)
• Familiarity 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 in Generative AI /LLM’s 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 (Primary), Azure or GCP
• Understanding of how to operationalize these 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

 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.