Python Developer

About Wokelo:

Wokelo is an LLM agentic platform for investment research and decision making. We automate complex research and analysis tasks traditionally performed by humans. Our platform is leveraged by leading Private Equity firms, Investment Banks, Corporate Strategy teams, Venture Capitalists, and Fortune 500 companies.

With our proprietary agentic technology and state-of-the-art large language models (LLMs), we deliver rich insights and high-fidelity analysis in minutes—transforming how financial decisions are made.

Headquartered in Seattle, we are a global team backed by renowned venture funds and industry leaders. As we rapidly expand across multiple segments, we are looking for passionate individuals to join us on this journey.

Requirements:

• 0-1 years of experience as a Software Developer.
• Bachelor’s or Master’s degree in Computer Science or related field.
• Proficiency in Python with strong experience in Django Rest Framework.
• Hands-on experience with Django ORM.
• Ability to learn quickly and adapt to new technologies.
• Strong problem-solving and analytical skills.
• Knowledge of NLP, ML models, and related engineering practices (preferred).
• Familiarity with LLMs, RLHF, transformers, embeddings (a plus).
• Prior experience in building or scaling a SaaS platform (a plus).
• Strong attention to detail with experience integrating testing into development workflows.

Key Responsibilities:

• Develop, test, and maintain scalable backend services and APIs using Python (Django Rest Framework).
• Work with Django ORM to build efficient database-driven applications.
• Collaborate with cross-functional teams to design and implement features that enhance the Wokelo platform.
• Contribute to NLP engineering and ML model development to power GenAI solutions (preferred but not mandatory).
• Ensure testing and code quality are embedded into the development process.
• Research and adopt emerging technologies, providing innovative solutions to complex problems.
• Support the transition of prototypes into production-ready features on our SaaS platform.
• Perform adhoc tasks as and when required/assigned by manager.

Why Join Us?

• Opportunity to work on a first-of-its-kind Generative AI SaaS platform.
• A steep learning curve in a fast-paced, high-growth startup environment.
• Exposure to cutting-edge technologies in NLP, ML models, LLM Ops, and DevOps.
• Collaborative culture with global talent and visionary leadership.
• Full health coverage, flexible time-off, and remote work culture.

About Synorus

Synorus is building a next-generation ecosystem of AI-first products. Our flagship legal-AI platform LexVault is redefining legal research, drafting, knowledge retrieval, and case intelligence using domain-tuned LLMs, private RAG pipelines, and secure reasoning systems.

If you are passionate about AI, legaltech, and training high-performance models — this internship will put you on the front line of innovation.

Role Overview

We are seeking passionate AI/LLM Engineering Interns who can:

• Fine-tune LLMs for legal domain use-cases
• Train and experiment with open-source foundation models
• Work with large datasets efficiently
• Build RAG pipelines and text-processing frameworks
• Run model training workflows on Google Colab / Kaggle / Cloud GPUs

This is a hands-on engineering and research internship — you will work directly with senior founders & technical leadership.

Key Responsibilities

• Fine-tune transformer-based models (Llama, Mistral, Gemma, etc.)
• Build and preprocess legal datasets at scale
• Develop efficient inference & training pipelines
• Evaluate models for accuracy, hallucinations, and trustworthiness
• Implement RAG architectures (vector DBs + embeddings)
• Work with GPU environments (Colab/Kaggle/Cloud)
• Contribute to model improvements, prompt engineering & safety tuning

Must-Have Skills

• Strong knowledge of Python & PyTorch
• Understanding of LLMs, Transformers, Tokenization
• Hands-on experience with HuggingFace Transformers
• Familiarity with LoRA/QLoRA, PEFT training
• Data wrangling: Pandas, NumPy, tokenizers
• Ability to handle multi-GB datasets efficiently

Bonus Skills

(Not mandatory — but a strong plus)

• Experience with RAG / vector DBs (Chroma, Qdrant, LanceDB)
• Familiarity with vLLM, llama.cpp, GGUF
• Worked on summarization, Q&A or document-AI projects
• Knowledge of legal texts (Indian laws/case-law/statutes)
• Open-source contributions or research work
• 
  

What You Will Gain

• Real-world training on LLM fine-tuning & legal AI
• Exposure to production-grade AI pipelines
• Direct mentorship from engineering leadership
• Research + industry project portfolio
• Letter of experience + potential full-time offer
• 
  

Ideal Candidate

• You experiment with models on weekends
• You love pushing GPUs to their limits
• You prefer research + implementation over theory alone
• You want to build AI that matters — not just demos

Location - Remote

Stipend - 5K - 10K

Azure DE

Primary Responsibilities -

• Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes
• Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
• Use Azure Data Factory and Databricks to assemble large, complex data sets
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
• Ensure data security and compliance
• Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures

Required skills:

• Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams
• Azure DevOps
• Apache Spark, Python
• SQL proficiency
• Azure Databricks knowledge
• Big data technologies

The DEs should be well versed in coding, spark core and data ingestion using Azure. Moreover, they need to be decent in terms of communication skills. They should also have core Azure DE skills and coding skills (pyspark, python and SQL).

Out of the 7 open demands, 5 of The Azure Data Engineers should have minimum 5 years of relevant Data Engineering experience.

Immediate Joiners Preferred. Notice Period - Immediate to 30 Days

Interested candidates are requested to email their resumes with the subject line "Application for [Job Title]".

Only applications received via email will be reviewed. Applications through other channels will not be considered.

About Us

adesso India is a dynamic and innovative IT Services and Consulting company based in Kochi. We are committed to delivering cutting-edge solutions that make a meaningful impact on our clients. As we continue to expand our development team, we are seeking a talented and motivated Backend Developer to join us in creating scalable and high-performance backend systems.

Job Description

We are looking for an experienced Backend and Data Developer with expertise in Java, SQL, BigQuery development working on public clouds, mainly GCP. As a Senior Data Developer, you will play a vital role in designing, building, and maintaining robust systems to support our data analytics. This position offers the opportunity to work on complex services, collaborating closely with cross-functional teams to drive successful project delivery.

Responsibilities

• Development and maintenance of data pipelines and automation scripts with Python
• Creation of data queries and optimization of database processes with SQL
• Use of bash scripts for system administration, automation and deployment processes
• Database and cloud technologies
• Managing, optimizing and querying large amounts of data in an Exasol database (prospectively Snowflake)
• Google Cloud Platform (GCP): Operation and scaling of cloud-based BI solutions, in particular
• Composer (Airflow): Orchestration of data pipelines for ETL processes
• Cloud Functions: Development of serverless functions for data processing and automation
• Cloud Scheduler: Planning and automation of recurring cloud jobs
• Cloud Secret Manager: Secure storage and management of sensitive access data and API keys
• BigQuery: Processing, analyzing and querying large amounts of data in the cloud
• Cloud Storage: Storage and management of structured and unstructured data
• Cloud monitoring: monitoring the performance and stability of cloud-based applications
• Data visualization and reporting
• Creation of interactive dashboards and reports for the analysis and visualization of business data with Power BI

Requirements

• Minimum of 4-6 years of experience in backend development, with strong expertise in BigQuery, Python and MongoDB or SQL.
• Strong knowledge of database design, querying, and optimization with SQL and MongoDB and designing ETL and orchestration of data pipelines.
• Expierience of minimum of 2 years with at least one hyperscaler, in best case GCP
• Combined with cloud storage technologies, cloud monitoring and cloud secret management
• Excellent communication skills to effectively collaborate with team members and stakeholders.
• 
  

Nice-to-Have:

• Knowledge of agile methodologies and working in cross-functional, collaborative teams.

• Experience in Web and Mobile Applications
• Agility and ability to adapt quickly to changing requirements and scope and priorities
• Experience in Java, Python.
• Deep understanding of data structures and microservices.
• Knowledge of Node.js
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Familiarity with front-end technologies
• User authentication and authorization between multiple systems, servers, and environments
• Interaction with multiple data sources
• Good understanding of SQL
• Understanding fundamental design principles behind a scalable application
• Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform.
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git .