About the Company : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: GenAI Solution Architect/Lead Experience : 6+ Yrs Location: Pune Job Position (Title) GenAI Solution Architect/Lead Technical Skill Requirements :LLMs, Python, Cloud, Azure AI/Azure ML, Chatbot, MLOps, LLMOps, Data Science Responsibilities We are seeking a highly skilled and experienced Lead Data Scientist with a strong background in machine learning, computer vision, natural language processing (NLP), generative AI, LLM and cloud technologies. As the Lead Data Scientist, you will be responsible for leading our data science team on for the client and driving the design, architecture, development and implementation of Generative AI based applications. You will be responsible for providing solutions by continuously keeping up with the new developments in this space. You will work closely with cross-functional teams, including engineers, researchers, and product managers, to design and deploy cutting-edge GenAI solutions that address our business needs. The ideal candidate will have a minimum of 5 years of real hands on experience in machine learning/LLMs with expert level python coding skills, with a proven track record of successfully delivering projects in computer vision, NLP, generative AI, and at least one cloud platform. Responsibilities: Drive the end-to-end development and deployment of GenAI based applications, instrumenting model tuning and evaluation and managing model drifts leveraging cloud-based infrastructure and services. Collaborate with cross-functional teams to understand business requirements and translate them into data science projects that deliver tangible value. Stay up-to-date with the latest advancements in Chat/voice bot, NLP, generative AI, and cloud technologies, and apply the latest research findings to enhance existing models and algorithms. Evaluate and select appropriate cloud-based tools, frameworks, and services to support data science initiatives, ensuring scalability, reliability, and cost-efficiency. Collaborate with cloud engineering teams to optimize the deployment and management of machine learning models in cloud environments. Communicate complex technical concepts and findings to both technical and non-technical stakeholders through clear and concise presentations and reports. Required Skills : Bachelor's or master's degree in computer science, data science, or a related field. Minimum of 5 years of experience in machine learning, with a focus on chatbot, NLP, generative AI, and cloud technologies. Strong expertise in programming languages such as Python, as well as proficiency in relevant libraries and frameworks. Proven experience in developing and implementing LLM based applications. Deep understanding of GenAI techniques, such as RAGs, Agent base architecture, Prompt Engineering etc. Familiarity with generative AI models, such as generative adversarial networks (GANs) and variational autoencoders (VAEs). Solid knowledge of deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers is a plus. Experience working with large-scale datasets and data pre-processing techniques. Strong analytical and problem-solving skills, with the ability to think critically and creatively to solve complex challenges. Experience with at least one cloud platforms such as AWS, Azure, or Google Cloud, including knowledge of cloud-based machine learning services and infrastructure. Azure preferable. Excellent communication and interpersonal skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.

About the Company : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: AI Operations (AI Ops) Engineer Experience : 8+ Yrs Location: Pune, Hyderabad, Gurugram Skillsets- Azure, Gen AI, MLOps, Python, ML(Machine Learning), Data Science , SQL Job Summary: AI Operations (AI Ops) Engineer AI Ops Engineer with a strong background in Python, API development, Large Language Models (LLM) concepts, ML Ops, Azure Cloud and AI operations with 8-10 years of experience working on advanced AI/ML systems, cloud infrastructure, and API integrations, with a focus on operationalizing AI models and maintaining robust systems for AI-driven applications. This role requires a combination of technical expertise in cloud computing, machine learning, and software engineering. Collaborate with IT operations and business teams to support business user issues, requests, Production support and deployments; advocate best practices and recommend technical solutions for improvements in usability of application and systems performance Key Responsibilities: Technical Operations: Review, Implement and support enterprise-level AI platforms and services to drive IT operation excellence. Ensuring that new use cases are onboarded smoothly and operationalized Optimization: Analyze business processes to identify areas for automation and work with business stakeholders and IT teams to determine requirements and design software bots to reduce operational toil. AI Ops & Model Deployment: Lead the operationalization and deployment of AI/ML models into production environments, ensuring they are highly available, scalable, and performant. Implement and monitor Continuous Integration (CI) and Continuous Deployment (CD) pipelines. Python Development: Design and develop Python-based solutions for automating and managing the lifecycle of AI/ML models, including data ingestion, model training, and real-time prediction workflows. API Integration: Build and maintain robust APIs for model serving and integration with other systems. Ensure seamless communication between models, data pipelines, and consumer applications. LLM Concepts and Implementation: Apply knowledge of Large Language Models (LLMs) to develop AI-driven applications and services, ensuring models are optimized and performing efficiently in production. ML Ops: Implement and maintain Machine Learning Operations (ML Ops) practices for version control, monitoring, logging, and debugging of AI/ML models in production. Support model retraining, versioning, and A/B testing. Cloud Infrastructure: Leverage Azure Cloud services for hosting and scaling AI applications, ensuring security, compliance, and performance. Implement infrastructure as code (IaC) using tools like Azure DevOps. Collaboration: Work closely with backend engineers, data engineers/developers, infrastructure engineers , operational SMEs and business stakeholders to tackle evolving challenges in the field of AI/ML to ensure AI solutions meet business requirements and performance benchmarks. Monitoring & Optimization: Continuously monitor the performance of deployed AI models and optimize them for efficiency, cost-effectiveness, and accuracy. Implement alerting and logging mechanisms by scripts or through observability solution. Documentation & Best Practices: Document AI Ops processes, Use cases, tools, and workflows. Establish and enforce best practices for managing AI models in production environments. Required Skills & Qualifications:(Python Developer + ML-Engineer + MLOPS+ Azure) Experience: 8-10 years of experience in software development, with a focus on AI/ML operations, cloud infrastructure, and DevOps practices. -Data ScienePython: Advanced proficiency in Python, including experience with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, and Pandas. MLOPS Engineer APIs: Strong experience in designing, developing, and maintaining RESTful APIs for AI/ML model deployment and integration. ML Ops: In-depth understanding of Machine Learning Operations, including model versioning, monitoring, deployment, and automation of ML workflows. Data Science LLM Concepts: Familiarity with Large Language Models (LLMs), including experience working with transformer-based models such as GPT, BERT, or T5. Data Engineer Azure Cloud: Hands-on experience with Azure Cloud services (Azure ML, Azure DevOps, Azure Functions, etc.) and cloud infrastructure management. DevOps & CI/CD: Proficient in setting up CI/CD pipelines for AI/ML models and using tools like Jenkins, GitLab, or Azure DevOps for automation. DE Data Management & Tools: Experience working with data storage and processing tools like Azure Blob Storage, Azure SQL Database, Kafka, or similar. Version Control: Expertise with Git and version control best practices for collaborative development of AI systems. Problem Solving: Strong analytical and troubleshooting skills, with the ability to identify root causes and optimize AI/ML models and systems. Communication & Collaboration: Excellent communication skills and the ability to work effectively in a cross-functional team environment. Preferred Skills: Cloud Certifications: Azure certifications such as Azure Solutions Architect, Azure AI Engineer, or Azure DevOps Engineer. Security & Compliance: Understanding of security best practices in AI model deployment and experience with secure handling of sensitive data in the cloud. Big Data Tools: Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop) and integration with AI/ML pipelines. Agile Methodologies: Experience working in Agile teams, with knowledge of Scrum, Kanban, or similar frameworks. Education: A Bachelor's or Masters degree in Computer Science, Engineering, Data Science, or a related field is preferred.

About the Company : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: Senior AIML Engineer Experience : 6+ Yrs Location: Pune Skillsets- AIML , Gen AI, MLOps, AWS, Python, ML(Machine Learning), Data Science , SQL,AWS Job Summary: We are seeking a highly skilled and experienced Data Scientist with a strong background in machine learning, computer vision, natural language processing (NLP), generative artificial intelligence (AI), and cloud technologies. As a Data Scientist, you will be working for a client and driving the development and implementation of advanced data models and algorithms to extract meaningful insights from complex datasets. You will work closely with cross-functional teams, including engineers, researchers, and product managers, to design and deploy cutting-edge AI solutions that address our business needs. The ideal candidate will have a minimum of 3 years of real hands on experience in machine learning , with a proven track record of successfully delivering projects in computer vision, NLP, generative AI, and at least one cloud platform. The Role: As our Tech Lead in AI/ML, you will play a crucial role in the hands-on development of mentoring peers and delivery of AI products powered by our internal AI models and machine learning pipelines. You'll identify new opportunities for AI solutions throughout the organization, and set the direction and roadmap required to implement MLOPS. You will partner with the team through the creation of AI models, and develop, and deploy LLM-based applications in production, evaluating and improving their performance and accuracy over time. Collaborating closely with Product, Research, and Engineering teams, youll ensure seamless integration of AI technologies into our products, setting new standards for data quality and model performance. Responsibilities: Design, develop, and maintain a AI/ML platform that is accurate, secure, and fast Lead workstreams within a lean and agile environment from requirements gathering to creating a plan of actionable tasks for the team Provide coaching, and mentorship to members of the data team on architecture, software development best practices, and new technologies Establish evaluation criteria for data quality tracking and production ML model tracking Partner with product, research, and engineering to ensure product changes integrate effectively . Required Qualifications: 6+ years in MLOps, ML engineering, MLOps, and data science with 2+ years leading and mentoring agile teams. Proven expertise in deploying essential MLOps components like CI/CD, model registry, and input loading. Skilled in creating and launching diverse models (statistical, LLM, GenAI, GPT 3.5/4.0) from POC to production. Proven ability to manage projects and programs, leading small teams (2-5 members) and directly handling data analysis, modeling, data pipeline setup, and MLOps Skilled in AIML, using platforms like AWS, Amazon Bedrock, and Snowflake, and proficient in Python, SQL, Tableau, and Alteryx 3+ years of experience working with Jupyter Notebooks, Git, GitHub, JIRA, and weights & biases, enhancing collaboration and version control in project development. Significant collaboration with research teams, contributing hands-on research skills that advance project outcomes. Preferred Qualifications: 2+ years of Tech Lead and management experience; taking on role as player coach and providing mentorship. Experience migrating data sets and workflows between legacy data platforms and services. Familiarity with stream processing and event driven architecture Comfortable moving quickly and working in a fast-paced, agile XP, lean environment. Experience in leading offshore and nearshore teams is highly valued.

Job Description: Soft Skills Trainer Position : Soft Skills Trainer Location: Rayat Bahra University Job Type: Full Time Educational Qualifications: MBA Position: 5 Experience 3 Years Immediate Joiner / Localities are preferred Key Responsibilities: Conduct interactive training sessions focused on improving communication skills, emotional intelligence, leadership qualities, and teamwork. Provide guidance on resume writing, including structure, language, and key content for job seekers. Introduce and guide the usage of AI-based tools to assist in career development, including resume builders, interview preparation tools, and career advice platforms. Develop training materials, exercises, and presentations that are engaging, informative, and actionable for participants. Continuously assess and monitor the progress of trainees to ensure effective skill development. Customize training sessions based on the participants needs and professional backgrounds. Conduct workshops on personal branding, interview techniques, and professional etiquette. Collaborate with the HR and management teams to ensure that training aligns with organizational goals. Provide feedback and reports on trainee progress, performance, and areas for improvement. Key Skills & Qualifications: Excellent Communication Skills : Strong verbal and written communication abilities. Capable of presenting complex information in a clear, engaging, and understandable manner. Knowledge of Resume Writing : Expertise in creating and reviewing resumes that effectively highlight skills, experience, and accomplishments. AI Knowledge : Familiarity with AI tools that enhance career development (such as AI-based resume writing tools, interview simulators, etc.) and a passion for integrating technology into training programs. Training and Presentation Skills : Ability to engage an audience, manage group dynamics, and deliver clear, impactful presentations. Problem-Solving Abilities : Capable of assessing training needs and adapting programs to meet the requirements of diverse learners. Empathy and Interpersonal Skills : Strong ability to connect with individuals, understand their challenges, and provide personalized support and guidance.

Role & responsibilities 1. Lesson Planning & Technology-Enabled Teaching Design and deliver interactive and engaging computer science lessons as per the CBSE curriculum. Use project-based learning, coding assignments, and digital tools to enhance student engagement. Stay updated with emerging technologies and incorporate them into teaching methodologies. 2. Programming & Practical Learning Conduct hands-on programming sessions in Python, Java, C++, and SQL. Guide students in developing real-world applications, websites, and AI projects. Ensure effective lab management and encourage students to participate in coding competitions. 3. Student Development & Mentorship Prepare students for CBSE board exams, competitive exams like JEE (CS), and Olympiads. Mentor students for coding competitions, hackathons, and AI-based projects. Encourage logical reasoning, problem-solving, and computational thinking skills. 4. Digital Literacy & Cyber Awareness Conduct workshops on cybersecurity, ethical hacking, and responsible internet usage. Teach students about data privacy, digital footprint, and online safety. 5. Collaboration & Professional Development Work with school IT staff to upgrade technology infrastructure. Participate in curriculum planning, teacher training, and IT-based school initiatives. Collaborate with other departments to integrate technology across subjects. Perks and benefits Competitive Salary: Based on experience and qualifications. Free education for one child.

Design, develop, and deploy advanced Gen AI models to solve complex problem. Develop, fine-tune, and maintain AI models, including language models and RAG systems. Implement prompt engineering techniques to improve model interaction.

We are seeking a highly skilled and hands-on Cloud DevOps Engineer to join our dynamic team. The ideal candidate will have extensive experience in managing and optimizing cloud infrastructure on AWS and GCP, with a strong focus on automation and integration/continuous deployment (CI/CD) practices. Key Responsibilities: AI & NLP Experience: Experience working with LLMs (GPT, Claude, Gemini) for reasoning & information retrieval (RAG experience required) Experience with speech-to-text (Deepgram, Open AI Whisper, or similar). Experience with text-to-speech (Azure Speech, Eleven Labs, or similar) Software Development: Strong experience with Python (a sync programming, API integrations). Experience working with Vocode or similar AI voice frameworks. Knowledge of database design (PostgreSQL, MySQL, SQL Server, or NoSQL) to store claim data. API development experience Cloud & DevOps: Experience with AWS / GCP / Azure for hosting and API integrations. Troubleshooting skills for AWS services and GitLab pipelines. Qualifications: Minimum 3+ years of experience as a DevOps Engineer or similar software engineering role. Bachelors degree in Computer Science, Engineering, or a related field Working knowledge of Python, databases and SQL Experience in developing/engineering applications Strong problem-solving skills, excellent communication, and the ability to work collaboratively in a team environment.

* Experience:-- 2 - ANY YEARS. * Training Mode:-- Fulltime /Parttime/ Online/ Offline * Number of Openings:-- Multiple. * Client:-- Singapore based Software Training Institute. -------------------------------------------------------------------------

Lead the architecture, design& development of scalable & robust software solutions using Python. Provide technical leadership & mentorship to a team of engineers, entire software development lifecycle. Write high-quality, maintainable& efficient code Required Candidate profile exp. as a software engineer with a strong focus on Python development. expertise in software architecture &design principles. Exp. with cloud platforms, Proficiency with version control systems

Hiring for Gen AI Min exp 5yrs Loc:-Blr CTC:-20lpa For more details 9205018536(prabhsimer) prabhsimer.imaginators@gmail.com Required Candidate profile skills:- Proficiency in Python, Node.Js, C#, HTML, and JavaScript. Exp with AI Libraries/Packages such as TensorFlow, Keras, Pytorch,Generative AI frameworks.

Python Developer with a strong foundation in AI, data analytics, and proficiency in using Pandas, Spark, and REST APIs. 2 -7 years of experience and a passion for developing robust and scalable data solutions and keen to work from the office.

1.Conducting Lectures 2.Developing Study Material 3.Evaluation of Assignment, Reports, Exam Papers. 4. Research Paper 5. Other Academic activities.

1.Conducting Lectures 2.Developing Study Material 3.Evaluation of Assignment, Reports, Exam Papers. 4. Research Paper 5. Other Academic activities.

SQL, CDP, Python, Dig-dag, and, Presto, CP , Action IQ, Customer insights etc. Data engineering. Knowledge & experience in cloud technologies - Microsoft Azure, AWS, etc., ETL processes and API integration tools Required Candidate profile Experience in Digdag, Hivemall. CDP implementation experience with Treasure Data or any other CDP tool like Action IQ, etc. Experience in data modelling & architecture. Excellent SQL skills.

Delivery of sessions on syllabus as per university norms Managing student discipline and learning experience Innovation & Development in pedagogy Create excellent student learning experience Required Candidate profile High Standard Research Publications in ABDC/Scopus/Journals Expertise in organizing conferences/seminars/workshop/FDP's Skills: CSE, IT, Info Security, Cloud, AI, ML, Data Mining, Block Chain etc..

Design end-to-end solutions for chatbots, RPA, and LLM-based applications, architecting scalable systems using Python and React RPA tools such as UiPath, Automation Anywhere, or Blue Prism Chatbots for automation, customer FAQs, and task automation Required Candidate profile 9+years of experience in development and architecture, with building AI-driven solutions Strong Python back-end and React front-end development skills Expertise in LLMs, NLP, and AI model integration

Design, develop, and deploy Python-based applications, systems, and features Implement and maintain APIs and web services using Python frameworks Write efficient, reusable, and testable code following best practices and coding standards Required Candidate profile Strong in Python, with at least 5 years of hands-on experience. Practical experience with AI and machine learning concepts. Proficiency in developing applications using React.js for at least 3 years

1.Conducting Lectures 2.Developing Study Material 3.Evaluation of Assignment, Reports, Exam Papers. 4. Research Paper 5. Other Academic activities.

1.Conducting Lectures 2.Developing Study Material 3.Evaluation of Assignment, Reports, Exam Papers. 4. Research Paper 5. Other Academic activities.

Drive enterprise sales of IoT, Cybersecurity, Blockchain, AI & IT solutions to corporate/ PSUs. Develop sales plans, manage OEM relationships, execute account mining, upselling & receivables. Ensure seamless client engagement and solution delivery Required Candidate profile B.Tech/ MBA 10+ Yrs exp in enterprise sales. Proven record in achieving sales targets in IoT, Cybersecurity, Blockchain, or AI fields. Strong knowledge & C-Level contacts in corporate & PSU Sectors.

Build Dashboard for Video Mgt System Web-based VMS dashboard with real-time Video Streaming React.js, Angular, or Vue.js Work with WebRTC, WebSockets& HLS players to integrate live Video Streaming & AI Insights Optimize UI/UX & API integration Required Candidate profile 3 yrs Exp with React.js, Angular or Vue.js HTML, CSS, JavaScript & TypeScript Exp working with RESTful APIs, WebSockets & GraphQL Real-time Data Visualization Libraries (Chart js, D3.js) Redux, Vuex

We are seeking experienced AI Engineer to design, develop & implement intelligent agents to enhance our video intelligence capabilities. Hands-on experience with both closed & open-source LLMs and production-grade agent implementation Required Candidate profile Experience working with LLMs (both closed models like GPT-4, Claude, & open-source models like Llama, Mistral) Production-grade agent implementation using frameworks such as LangChain, CrewAI, n8n

JD: Machine Learning Engineer for Bangalore location: Role Overview We are seeking a skilled and innovative Machine Learning Engineer with expertise in Large Language Models (LLMs) to join our team. The ideal candidate should have hands-on experience developing, fine-tuning, and deploying LLMs, alongside a deep understanding of the machine learning lifecycle. Candidate must have basic knowledge of JAVA to read the codes. This role involves building scalable AI solutions, collaborating with cross-functional teams, and contributing to cutting-edge AI initiatives. Key Responsibilities Model Development & Optimization: - Develop, fine-tune, and deploy LLMs like OpenAI's, GPT, Anthropic's Claude, Googles Gemini, or AWS Bedrock. - Customize pre-trained models for specific use cases, ensuring high performance and scalability. Machine Learning Pipeline Design: - Build and maintain end-to-end ML pipelines, from data preprocessing to model deployment. - Optimize training workflows for efficiency and accuracy. Integration & Deployment: - Work closely with software engineering teams to integrate ML solutions into production environments. - Ensure APIs and solutions are scalable and robust. Experimentation & Research: - Experiment with new architectures, frameworks, and approaches to improve model performance. - Stay updated with advancements in LLMs and generative AI technologies. Collaboration: - Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to align ML solutions with business goals. - Provide mentorship to junior team members as needed. Required Qualifications Experience: At least 5 years of professional experience in machine learning or AI development. Proven experience with LLMs and generative AI technologies. Technical Skills: Proficiency in Python (required) and/or Java (bonus). Hands-on experience with APIs and tools like OpenAI, Anthropic's Claude, Google Gemini, or AWS Bedrock. Familiarity with ML frameworks such as TensorFlow, PyTorch, or Hugging Face. Strong understanding of data structures, algorithms, and distributed systems. Cloud Expertise: Experience with AWS, GCP, or Azure, including services relevant to ML workloads (e.g., AWS SageMaker, Bedrock). Data Engineering: Proficiency in handling large-scale datasets and implementing data pipelines. Experience with ETL tools and platforms for efficient data preprocessing. Problem Solving: Strong analytical and problem-solving skills, with the ability to debug and resolve issues quickly. Preferred Qualifications Experience with multi-modal models and generative AI for images, text, or other modalities. Understanding of ML Ops principles and tools (e.g. MLflow, Kubeflow). Familiarity with reinforcement learning and its applications in AI. Knowledge of distributed training techniques and tools like Horovod or Ray. Advanced degree (Masters or Ph.D.) in Computer Science, Machine Learning, or a related field. Most important points: Must be OK for independent contributor role Thorough expertise in LLMs Able to join within 15 days It is a complete work from office role (Whitefield, Bangalore) Interview process: Total 3 rounds of interview: Round 1: Technical round on call Round 2: Technical round + Coding test on video call Round 3: Managerial + HR round

About the Role I'm a busy professional running multiple projects simultaneously and looking for a reliable, tech-savvy all-rounder to assist with day-to-day tasks, code development, AI research, and holding peers accountable. This is a full-time, mid-senior-level contract role, with a 1-month trial period. If were a good fit, Ill extend the contract for a full year. If projects you work on are profitable, we will give you bonuses as well. Your output = your bonuses. The more money we make, the more money we pay you. Role & responsibilities Assistant & Accountability: Provide general support for my ongoing projects, hold me accountable for deadlines, and help keep me focused on critical tasks. We will be on call together for most of the day working together. Development & Coding: Build front-end and back-end solutions using languages like Python, JavaScript, React, HTML/CSS, Node.js , and work with databases. Develop web and mobile applications, troubleshoot bugs, and manage code deployments. AI Research & Implementation: Work on AI/ML projects , including building or training local models, implementing Retrieval-Augmented Generation (RAG), and using AI tools (e.g., Cursor, ChatGPT). Stay up-to-date with new and emerging technologies. Teaching & Tutoring: Research technical topics as needed and help me learn those subjects. When youre not familiar with a subject, figure it out independently and provide guidance. Flexible Collaboration: Collaborate with me over phone or video calls throughout the day. Your schedule will align with US business hours (M-F), but may shift slightly day-to-day based on my workload. For example, might need you 4 hours in the morning and 4 hours in the evening. Your total work day will come out to 8 hours. Preferred candidate profile Experience: Minimum 2 years of professional coding or development experience. Solid familiarity with full-stack development (front-end, back-end, databases). AI & Tool Proficiency: Knowledge of AI/ML, large language models, or willingness to learn new AI tools quickly. Self-Starter: Ability to figure things out even if its your first time encountering a concept or technology. Communication & Accountability: Clear spoken and written English, confidence to hold me accountable, and proactively communicate any issues or ideas. Equipment: Must have your own reliable computer/laptop and internet connection. Flexibility: Able to dedicate 8 hours/day during US business hours, Monday to Friday. Perks and benefits 100% remote 15 Vacation Days per year. 10 Sick Days per year. National Indian Holidays will be given off. (Republic Day, Eid al-Fitr, Ambedkar Jayanti, Eid al-Adha, Indian Independence Day, Mawlid, Gandhi Jayanti, Diwali, Christmas) Why Join? Professional Growth: Youll get exposure to a wide range of projects, from coding and AI model training to project management. Autonomy & Creativity: I value independent problem-solving and creativityif you can find a better solution, go for it. Bonus Opportunities: Potential performance-based bonuses for overtime or successful project outcomes. Time Off: After the 1-month trial period, you will receive 15 vacation days and 10 sick days per year. Remote-First Culture: 100% remote, but with close collaboration. Relevant software licenses or tools can be reimbursed if needed. Additional Details This is a contractor position . No employee benefits are provided beyond whats stated (vacation and sick days). After successful completion of the 1-month trial , the contract may be renewed for up to a year.

*Work from home opportunity* Need mainly from BSc- Physics/Chemistry/Mathematics and Finance and Accounting background.