Sr. AI Product Engineer

Cognologix Technologies; Pune District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Family benefits

Remote working options

Performance-based career advancement

Job summary

A leading AI and cloud solutions company in Pune is seeking a Sr. Data Science Engineer with over 6 years of experience. The role focuses on designing and implementing AI/ML solutions, including developing applications and cloud-native solutions. Candidates should have strong skills in Python, deep learning frameworks, and a proven track record in building enterprise-grade AI applications. The position offers a collaborative environment and opportunities for career advancement, along with flexible working options.

Qualifications

• 6+ years of experience in building enterprise-grade AI applications.
• Strong knowledge of Python and its data science ecosystem.
• Experience with deep learning, computer vision, and NLP tasks.

Responsibilities

• Lead projects, mentor junior team members, and perform high-level work independently.
• Collaborate with product management to gather specific requirements.
• Own the process from identifying problems to implementing solutions.

Skills

End-to-end project lifecycle experience

Linear Algebra

Statistics

Python

Deep Learning frameworks

NLP/NLG frameworks

Cloud-based services (AWS, GCP, Azure)

Productionizing AI models

Tools

Pandas

NumPy

SciPy

scikit-learn

Keras

TensorFlow

PyTorch

FastAPI

Job description

Overview

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 cloud-native solutions.

Job Location: Pune

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-to-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

• 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.