Referso Jobs

Senior Lead Software Engineer - AI/ML Deep Learning & GPU ML Serving

JPMorgan Chase & Co. · Posted Nov 9, 2026

Open

Hyderabad, Telangana, India
Full-time · Lead
5+ years

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Senior Lead Software Engineer - AI/ML Deep Learning & GPU ML Serving

JPMorgan Chase & Co. · Posted Nov 9, 2026

Open

Hyderabad, Telangana, India
Full-time · Lead
5+ years

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Data Scientist - Graph Neural Networks

ApTask · Posted Nov 6, 2026

Open

Remote, United States
Remote
Contract · Senior
7–12 years

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We are seeking a highly skilled Data Scientist with proven expertise in Graph Neural Networks (GNNs) and Graph Machine Learning to lead the design, development, and implementation of graph-based AI models as part of a strategic Proof of Concept (POC).

Responsibilities

Design, build, and optimize Graph Neural Network (GNN) models for complex business problems.
Develop graph-based solutions for Link Prediction, Node Classification, Recommendation Systems, Network Analysis, Knowledge Graph Analytics, Fraud Detection, and Entity Resolution.
Build scalable graph data pipelines and feature engineering workflows.
Conduct model evaluation, experimentation, and performance optimization.
Collaborate with domain experts, architects, and engineering teams to deliver production-ready solutions.

Requirements

Nice to have: Neo4j
Nice to have: TigerGraph
Nice to have: Amazon Neptune
Nice to have: JanusGraph
Nice to have: NetworkX

Skills

Graph Neural Networks (GNN)Graph Convolution Networks (GCN)Graph Attention Networks (GAT)GraphSAGE

Senior Research Scientist, Quantum Compilation

Q-CTRL · Posted Nov 3, 2026

Open

Los Angeles, California, United States
Senior
$150K–$225K per year

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Lead quantum compilation research, develop efficient methods and tools, collaborate with engineering teams, publish and present research, and contribute to quantum computing advancements.

Compensation

The targeted base salary range for this position is between $150,000 - $225,000 and will ultimately be determined by specific job-related skills, experience, level, location and other contributing factors. Depending on the position offered, this role may be eligible for annual discretionary bonuses, equity and other forms of compensation outside of the targeted base salary range.

Responsibilities

Develop efficient and reliable methods and tools to get the best possible performance from real quantum computers.
Stay informed about the latest advances in quantum computing and quantum control, and leverage this knowledge to implement and refine cutting-edge methodologies.
Utilize methods from a range of fields, including control theory, optimization, machine learning, computer science, and data analysis.
Create code for optimizing quantum algorithms, applications, quantum error correction schemes.
Collaborate with engineering teams to translate your ideas into production-quality software.

Requirements

PhD in Physics, Engineering, Mathematics, Computer Science, or related discipline

Skills

Quantum computing Quantum algorithms

Manager | Snowflake | Delhi | Engineering | Data Modernization & Migration

deloitte · Posted Nov 4, 2026

Open

Delhi, India
Manager

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Responsibilities

Advanced Snowflake SQL and Snowpark
Cortex Agent development and tool configuration
graph data modeling (NetworkX)
tag-based masking policies, column-level access, SYSTEM$CLASSIFY and custom PII classifiers
Data Metric Functions (DMF) and DQ frameworks

Skills

Snowflake SQL Snowpark Cortex Agent graph data modeling NetworkX tag-based masking policies column-level access SYSTEM$CLASSIFY custom PII classifiers Data Metric Functions DQ frameworks

Senior Graph Engineer (Python)

Evolver · Posted Nov 4, 2026

Open

Palo Alto, California, United States
Hybrid
Full-time · Senior
6+ years

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Lead the design, development, and deployment of graph-based systems that connect structured and unstructured data, support complex queries, and improve AI retrieval and reasoning.

Compensation

Competitive Compensation: Tailored to your experience and skill set.

Responsibilities

Design and build scalable knowledge graphs
Build pipelines that extract, normalize, and connect data
Implement entity matching, deduplication, relationship validation, and provenance tracking
Develop graph-based retrieval capabilities and integrate them with vector search, RAG systems, and AI agents
Optimize graph queries, indexing, and storage

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Nice to have: knowledge graphs in AI
Nice to have: GraphRAG
Nice to have: hybrid graph and vector retrieval
Nice to have: agent tools

Skills

Python NetworkX Pandas NumPy Neo4j

Power /Energy

RAPS Consulting - India · Posted Nov 3, 2026

Open

2–10 years

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Skills

Python DIgSILENT PowerFactory DPL Pandas Numpy Scipy ML libraries Networkx Pyomo git MS VBA Gurobi CPLEX C/C++

2 to 10 years of relevant experience in Python programming and its application for complex problem solving, optimisation, data processing etc. Expertise in power system engineering, analysis and experience in power system component modelling in Python. 4 to 6 years of Experience in DIgSILENT PowerFactory and DPL and Python programming on top of DPL. Knowledge of the basics of power system engineering and some appreciation of the GB network is essential. Expertise in Pandas, Numpy, Scipy, , ML libraries, matrix manipulation, Networkx scientific algorithms and Pyomo. Expert knowledge in data management and visualization techniques in Python is desirable Version Control using git is essential. Experience using MS VBA scripting to be able to analyse and enhance the code. Experience in linear programming and tools such as Gurobi/CPLEX is plus. Experience working with visualization libraries Python API is desirable. Programming experience in DIgSILENT DPL, C/C++ etc.

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