Production Engineer

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

Key Responsibilities

·       Act as the on-site representative of the company at the client’s office.

·       Gather, understand, and document client requirements and challenges.

·       Coordinate with the Gieom team to provide timely solutions.

·       Support application configurations, troubleshooting, and patch deployments.

·       Assist clients in understanding the scope of our application offerings (with coaching from our team).

·       Maintain professional relationships with client stakeholders to ensure seamless engagement.

Qualifications

·       Bachelor’s degree in Computer Science, IT, Engineering, or related field.

·       0–2 years of experience in technical support, client coordination, or similar roles.

·       Basic understanding of Generative AI technologies and modern IT and AI applications.

·       Strong communication skills (fluency in English and local Mumbai languages preferred).

·       Ability to learn quickly, adapt to client environments, and collaborate with remote teams.

·       Candidate must be a Mumbai resident or willing to relocate.

Location : Remote

Experience: 2+ years

• 2+ years of strong programming skills in developing applications using Haskell (OR) any functional programming language
• Experience in Kubernetes
• Experience in writing well-documented, clean JavaScript code. TypeScript is a plus

Greetings , Wissen Technology is Hiring for the position of Data Engineer

Please find the Job Description for your Reference:

JD

• Design, develop, and maintain data pipelines on AWS EMR (Elastic MapReduce) to support data processing and analytics.
• Implement data ingestion processes from various sources including APIs, databases, and flat files.
• Optimize and tune big data workflows for performance and scalability.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Manage and monitor EMR clusters, ensuring high availability and reliability.
• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and store data in data lakes and data warehouses.
• Implement data security best practices to ensure data is protected and compliant with relevant regulations.
• Create and maintain technical documentation related to data pipelines, workflows, and infrastructure.
• Troubleshoot and resolve issues related to data processing and EMR cluster performance.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in data engineering, with a focus on big data technologies.
• Strong experience with AWS services, particularly EMR, S3, Redshift, Lambda, and Glue.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data frameworks and tools such as Hadoop, Spark, Hive, and Pig.
• Solid understanding of data modeling, ETL processes, and data warehousing concepts.
• Experience with SQL and NoSQL databases.
• Familiarity with CI/CD pipelines and version control systems (e.g., Git).
• Strong problem-solving skills and the ability to work independently and collaboratively in a team environment

A Business Development Executive (BDE) typically has the following job duties:

1. Identifying new sales leads, through business directories, client referrals, and participation in industry events.

2. Researching and analyzing sales options, and then pursuing the most promising leads.

3. Building and maintaining relationships with clients, both existing and new.

4. Negotiating deals and agreements with clients and closing sales.

5. Keeping accurate records of all sales activities and results, using customer relationship management software.

6. Maintaining regular communication with upper management, providing information on the status of sales efforts and reporting on any issues or opportunities that arise.

7. Continually seeking new ways to improve sales performance and reach targets.

8. Education and experience required for BDE role varies across different organizations, typically a bachelor's degree in marketing, business, or a related field is desired. Relevant experience in sales, marketing, or a related field, as well as excellent communication and negotiation skills, are also important.

Skills we are looking for:

• Excellent problem-solving skills
• Readily hands-on and "techy" habits
• Great spoken and written communication skills
• Self-starter, team player
• High levels of ethics, commitment & responsibility
• Demonstrable excellence in an area of their interest

Upto 3 years of experience in Angular.

Key Responsibilities

• Primarily responsible for the design, development and testing of LTE features for small cell system being developed by Mavenir
• Software development (code & test) of their modules with no supervision. Ability to do high level design and review low-level design/code.
• Accurate estimation of their work.
• Participate in architecture discussions.
• Adherence to development process and quality metrics.

Job Requirements

• Good understanding of 5G,  LTE and/or UMTS standards.
• Knowledge of 3GPP NR, EUTRAN procedures.
• Knowledge on any of the protocols like RRC, MAC, RLC, LTE/NR L3/L2 protocol stacks.
• Knowledge of RRM, Tr069 interface, NETCONF, YANG.
• Experience of developing UNIX/Linux applications.
• Excellent knowledge of C, data structures and operating systems.
• Knowledge of Network virtualisation concepts will be a plus.
• Experience of any of the following would also be an advantage: IP Networks and Protocols, SCTP, MTP3, M3UA, SS7, SCCP, HNBAP, RUA, RANAP, S1AP, GTP
• Good knowledge of any of version control system like SVN, MKS, clearcase.
• Good team player with knowledge of Agile methodology will be a plus