Custom Software Engineer

Project Role : Custom Software Engineer

Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills : Data Science

Good to have skills : NA
Minimum 5 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary:
As a Custom Software Engineer, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working with contemporary development frameworks and following agile methodologies to ensure the delivery of scalable and efficient software that meets unique business requirements. Collaboration with different teams and continuous refinement of software elements to enhance performance and functionality are integral parts of the daily routine.

Roles Responsibilities:

Expected to be an SME, collaborate and manage the team to perform.

Responsible for team decisions.

Engage with multiple teams and contribute on key decisions.

Provide solutions to problems for their immediate team and across multiple teams.

Lead efforts to identify and implement process improvements that enhance team productivity and software quality.

Mentor junior team members to support their professional growth and integration within the team.

Professional Technical Skills:

Programming: Python (Preferred)/Java/Scala/Go
Development Frameworks: Fast API/Flask/Spring Boot, Lang Chain/Lang Graph/Lang Smith/Semantic Kernel
Algorithms: Graph Algorithms, Search Algorithms, Dynamic Programming, ML Algorithms, Distributed Algorithms, Parallel Computing Algorithms
AI Frameworks: Scikit-Learn, PyTorch, TensorFlow, XGBoost, LightGBM
Advanced Topics: Supervised Learning, Unsupervised Learning, Reinforcement Learning, NLP , Time Series Forecasting, Feature Engineering, Model Explainability
Graph Technology: Neo4j / Amazon Neptune/ RDF / OWL / SPARQL/ Graph Database
Graph Analytics, Graph Embedding, Graph Neural Networks, Probabilistic Graph Modelling
Mathematics: Linear Algebra, Probability Theory, Statistics, Optimization Techniques, Calculus, Information Theory
Agentic AI, Multi Agent Frameworks, RAG, GraphRAG, Prompt Engineering, Fine Tuning, AI Evaluation Frameworks, Model Observability
AI GenAI Technologies: GPT Models/OpenAI/Open AI Azure OpenAI /Claude/ Gemini/Llama Models/ Mistral Model

Cloud DevOps Requirements - Platform: AWS/GCP/Azure
Performance Reliability Engineering
Performance Engineering: Latency Optimization, Throughput Optimization, GPU/CPU/ Utilization, Distributed Processing, Memory Management
Reliability Engineering: Resiliency Design, Fault Tolerance, High Availability, Auto Recovery,
Non-Functional Requirements: Security, Scalability, Maintainability, Observability, Operability
Preferred Qualifications: Bachelor''s or Master''s degree in - Computer Science / AI / ML / Mathematics / Statistics / Engineering

Must have:

AI Generative AI Engineering
Machine Learning Engineering
Knowledge Graph Semantic AI
Cloud Platform Engineering
Kubernetes Production Engineering
Software Engineering Excellence

Preferred Certifications
AWS Machine Learning Specialty
AWS Solution Architect Professional
Google Professional Machine Learning Engineer
Kubernetes Certified Application Developer (CKAD)
Kubernetes Certified Kubernetes Administrator (CKA)

The candidate should have minimum 7 years of experience in Data Science.

This position is based at our Bengaluru office.

A 15 years full time education is required.


Qualification 15 years full time education