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Specialist Software Engineer

Société Générale -
Bengaluru, Karnataka

Apply Now

Job details

Permanent | Contractual / Temporary
12 days ago

Qualifications

Statistics
Azure
Law
Kubernetes
D3.js
Spark
R
Master's degree
Databases
SQL
Pandas
OS Kernels
Docker
Machine learning
JavaScript
PostgreSQL
Natural language processing
APIs
S3
JSON
Data science
Data visualization
Flask
AI
Communication skills
Python

Full job description

Responsibilities

Data scientist who can think out of the box and expects more from their career.

Research business domain and develop use-cases to support enterprise wide AI/ML solutions.
Model design, feature planning, system infrastructure, production setup and monitoring, and release management.
Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.
Experience in selecting features, building and optimizing classifiers using machine learning techniques.
Prior experience with data visualization tools, such as D3.js, GGplot, etc..
Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..
Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
Work closely with product teams to implement algorithms with Python and/or R.
Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
Facilitate integration with enterprise applications using APIs to enrich implementations.

Profile required

4-7 years of experience in Data Science / Applied ML / NLP with hands-on GenAI delivery.
Strong Python skills; experience with FastAPI/Flask (or similar) for serving.
Practical experience with LLMs, including:
RAG pipelines (vector DB + embeddings + retrieval + grounding)
Prompt engineering and structured outputs (JSON schema/function calling patterns)
Experience building or integrating agents/tool-use systems (planning + tool execution + retries + state management).
Knowledge of NLP fundamentals: tokenization, embeddings, similarity search, ranking.
Proficiency with SQL and data processing (pandas / Spark basics).
Experience with LangChain / LlamaIndex / Semantic Kernel (or similar orchestration frameworks).
Familiarity with vector databases: Weaviate/PGVector
Knowledge of LLM safety: prompt injection defense, data exfiltration prevention, moderation filters, sandboxing tools.
Experience with cloud platforms: Azure especially managed AI services.
Familiarity with MLflow, Weights & Biases, or similar tracking tools.

Tech Stack

Languages: Python, SQL
LLM/GenAI: OpenAI/Azure OpenAI or open-source (Llama/Mistral), Hugging Face
Orchestration: LangChain / LlamaIndex / Semantic Kernel
Vector Search: Weaviate/PGVector
Backend: FastAPI, Docker, Kubernetes (optional)
MLOps/Obs: MLflow/W&B, Prometheus/Grafana, Open Telemetry (optional)
Data: Postgres, S3/ADLS

Why join us

“We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status”.

Business insight

At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow
will be shaped by all their initiatives, from the smallest to the most ambitious.
Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating and taking action are part of our DNA.
If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!
Still hesitating?
You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices and sharing their skills with charities. There are many ways to get involved.

Diversity and Inclusion

We are an equal opportunities employer and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents, regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination.

Apply Now

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