Data Entry - Goregaon -Onsite

Detailed Job Description:

·        Adherence to industrial safety practices during operations & maintenance procedures.

·        Ensuring optimal operations of all equipment (Pre-treatment generation, storage & distribution) following prescribed SOPs.

·        Preparation and maintenance of comprehensive reports & records including log-sheets, Chemical consumption Records, and PM Record.

·        Monitoring utility and feed water parameters to ensure they comply with specified limits.

·        Verification of sensor calibration using test kits.

·        Coordination with the QC team for sampling and analysis.

·        Conducting non-critical maintenance tasks (e.g., fixing leakages) utilizing available tools.

·        Maintaining meticulous records of operational issues as per QA documentation procedures.

·        Participation in both classroom and hands-on trainings provided by CN & Customer to attain and sustain certifications in Plant Operations.

·        Conducting hands-on training sessions for operators periodically and certifying their competence upon successful completion.

·        Developing and ensuring adherence to shift schedules, including contingency management at the site.

·        Performing essential administrative duties as scheduled (HR compliance, invoicing, payment follow-up, etc.).

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

Propel, a leading technology solutions provider, is seeking a dedicated and talented Business Development Executive to join our team. This role primarily focuses on establishing connections with potential clients based in the United States. As a Business Development Executive, you will play a crucial role in driving business growth by effectively communicating with leads, showcasing our offerings, and nurturing client relationships. 

Responsibilities: 

1. Outbound Calling: Initiate conversations with potential clients, engaging them in a professional and persuasive manner. 
2. Lead Follow-up: Follow up on leads generated through various channels, including website inquiries, email campaigns, and marketing events. 
3. Product Presentation: Present the company's products and services to potential clients, highlighting the unique value propositions and addressing their specific needs. 
4. Relationship Building: Nurture client relationships by actively listening to their requirements, providing relevant information, and building trust in our solutions. 
5. CRM Management: Maintain accurate and up-to-date records of client interactions, lead status, and follow-up activities in the CRM system. 
6. Collaboration: Collaborate effectively with the team to ensure a seamless handover of qualified leads and align strategies for maximizing conversions. 
7. Feedback and Reporting: Provide timely feedback to the team on lead quality, campaign effectiveness, and areas for improvement. 
8. Targets and Performance: Meet or exceed weekly and monthly targets for lead conversion, call volumes, and other key performance indicators. 
9. Industry Knowledge: Stay updated with industry trends, competitive offerings, and product knowledge to effectively address client queries and concerns. 
10. Professional Conduct: Uphold the company's reputation by adhering to professional standards, ethical practices, and maintaining confidentiality of client information. 

Requirements: 

1. Experience: Minimum 2 years of proven work experience as a Business Development Executive or in a similar role in sales department, demonstrating a track record of meeting or exceeding targets. Experience in the technology industry will be an added advantage. 
2. Communication Skills: Excellent written and oral communication skills in English, with the ability to articulate ideas clearly and confidently. 
3. Cultural Adaptability: Familiarity with US business culture and the ability to adapt communication style and accent to resonate with US clients. 
4. Persuasion and Negotiation: Strong persuasion and negotiation skills to effectively convert leads into clients and overcome objections. 
5. Time Management: Ability to work independently, prioritize tasks, and manage time efficiently in a high-volume, fast-paced environment. 
6. CRM Proficiency: Proficiency in using CRM software and other relevant tools to manage leads, track interactions, and generate reports. 
7. Shift Flexibility: Flexibility to work during Eastern Standard Time (EST) to accommodate US client requirements and collaborate with the team effectively. 
8. Motivated and Target-Driven: Positive attitude, self-motivated, and target-driven mindset with a passion for achieving and exceeding goals. 
9. Attention to Detail: Strong attention to detail and organizational skills to maintain accurate records and ensure a personalized client experience. 
10. Education: Bachelor's degree in business, marketing or a related field.

Nice to Have: 

1. US Accent Proficiency: Ability to communicate with a US accent, providing an added advantage in engaging with US-based clients. 
2. Technical Aptitude: Basic understanding of technology solutions or the ability to quickly grasp technical concepts to effectively communicate our offerings. 

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification

Required Skills

1. Experience in B2B selling of Software & Cloud services
2. Experience in selling to C-level executives
3. Excellent communication & interpersonal skills
4. Should be good with Microsoft / Google ( Word, Excel, Powerpoint )
5. Should have excellent negotiation skills
6. Should be able to use a good CRM tool like Hubspot

Responsibilities

1. You will be part of the core sales team and will work with the directors
2. Build relationships with prospective clients
3. Analyse the market and establish competitive advantages
4. Generate new leads and keep the existing leads warm
5. Create & maintain sales pipeline
6. Create proposals & close the deals