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) Additional Information:

• 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.