Responsibilities Assist in building, testing, and maintaining simple automation workflows using n8n. Support integration of APIs and databases into automation tasks and ensure data consistency. Debug and resolve issues in automation pipelines under senior guidance. Document workflow designs, configurations, and maintenance procedures clearly. Work closely with senior developers to implement improvements and optimizations. Contribute to identifying internal opportunities for new automations to improve efficiency. Participate in design reviews and team discussions to share learning and ensure quality standards. Monitor workflow executions and assist in maintaining reliable operations. Skills Must-have 1+ year of experience in workflow automation and system integration. Practical hands-on experience with n8n for designing and maintaining workflows. Good-to-have Familiarity with REST API integrations and basic database connections. Exposure to low-code/no-code tools such as Zapier or Make. Will be a plus Understanding of webhooks and event-driven architectures. Experience with tools like Airtable or Notion for lightweight data handling. Familiarity with version control and collaboration tools such as Git.
Responsibilities Design and build advanced AI agents capable of executing complex multi-step tasks autonomously. Integrate external APIs, tools, and data sources to extend agent functionalities. Architect scalable workflows using LangChain or LangGraph frameworks. Monitor, evaluate, and optimize agent performance and reliability. Collaborate with product and engineering teams to implement business-driven agent solutions. Maintain detailed documentation of agent workflows, design decisions, and iterations. Explore and incorporate new tools and frameworks to enhance agent intelligence. Provide mentorship and technical guidance to junior developers on agent development best practices. Skills Must-have 2–3 years of experience in AI agent development and automation. Strong proficiency in Python with advanced scripting and integration skills. Expertise in LangChain and LangGraph for building modular agent architectures. Good-to-have Solid experience with API integrations and multi-service orchestration. Knowledge of vector databases for retrieval and context capabilities. Will be a plus Familiarity with cloud services (AWS, GCP, Azure). Experience with CrewAI and AutoGen frameworks. Exposure to Docker and Kubernetes for scalable deployments. Experience using Weights & Biases for tracking experiments.
Responsibilities Assist in designing and refining prompts for large language models (LLMs) to achieve accurate outputs. Support data labeling, text preprocessing, and data preparation for NLP workflows. Help evaluate prompt performance and suggest improvements based on testing. Contribute to small-scale NLP experiments and proof-of-concept studies. Document prompt variations and results clearly for future reference. Collaborate with senior engineers and data scientists to integrate prompts into applications. Assist in maintaining prompt libraries and managing version control. Participate in team brainstorming sessions for new NLP features or improvements. Skills Must-have 1+ year of experience in natural language processing and prompt engineering focused on LLMs. Hands-on experience in Python, leveraging NLTK or spaCy for text processing. Good-to-have Exposure to OpenAI API or similar LLM services for prompt design and testing. Familiarity with Hugging Face Transformers for basic fine-tuning and experimentation. Will be a plus Understanding of LangChain (basic) and Pinecone for vector-based retrieval tasks. Experience with tools like Streamlit or Gradio for simple NLP demos.
Responsibilities Design and implement scalable machine learning models from data preprocessing to deployment. Lead feature engineering and model optimization to improve performance and accuracy. Build and manage end-to-end ML pipelines using MLOps practices. Deploy, monitor, and maintain models in production environments. Collaborate with data scientists and product teams to understand business requirements and translate them into ML solutions. Conduct advanced data analysis and build visualization dashboards to support insights. Maintain thorough documentation of models, experiments, and workflows. Mentor junior team members on best practices and technical skills. Skills Must-have 2–3 years of experience in machine learning development, focusing on end-to-end model lifecycle. Proficiency in Python with Pandas, NumPy, and Scikit-learn for advanced data handling and feature engineering. Strong hands-on expertise in TensorFlow or PyTorch for deep learning model development. Good-to-have Experience with MLOps tools such as MLflow or Kubeflow for model management and deployment. Familiarity with big data frameworks like Spark or Dask. Exposure to cloud ML services such as AWS SageMaker or GCP AI Platform. Will be a plus Working knowledge of Weights & Biases and DVC for experiment tracking and versioning. Experience using Ray or BentoML for distributed training and model serving.
Responsibilities Design, optimize, and test prompts for LLMs tailored to diverse use cases and client needs. Fine-tune pre-trained language models using custom datasets to achieve high-quality outputs. Lead advanced NLP tasks such as summarization, sentiment analysis, and question answering. Integrate NLP modules and prompt workflows into client or product systems. Develop and maintain robust prompt libraries with version control and documentation. Collaborate with teams to define requirements and translate them into NLP solutions. Monitor and evaluate prompt performance metrics and iterate on improvements. Mentor junior team members on best practices in NLP and prompt engineering. Skills Must-have 2–3 years of experience in NLP and prompt engineering with a focus on large language models. Proficiency in Python with deep expertise in Hugging Face Transformers and OpenAI API. Good-to-have Strong understanding of vector databases such as Pinecone and FAISS. Experience working with LangChain for LLM-based workflows. Will be a plus Knowledge of RAG (Retrieval-Augmented Generation) frameworks and LlamaIndex. Familiarity with cloud AI services such as Vertex AI or Azure OpenAI. Experience with experiment tracking tools like Weights & Biases.
As an individual responsible for this role, you will assist in the development, testing, and maintenance of simple automation workflows using n8n. Your duties will involve supporting the integration of APIs and databases into automation tasks to ensure data consistency. Under senior guidance, you will debug and resolve issues in automation pipelines. It will be your responsibility to document workflow designs, configurations, and maintenance procedures in a clear and concise manner. Collaboration with senior developers to implement enhancements and optimizations will be a key aspect of your role. Your contribution to identifying internal opportunities for new automations to enhance efficiency will be highly valued. Participation in design reviews and team discussions to share knowledge and uphold quality standards will also be expected from you. Additionally, you will be required to monitor workflow executions and assist in maintaining reliable operations. The essential skills required for this position include a minimum of 1 year of experience in workflow automation and system integration. You should possess practical hands-on experience with n8n for designing and maintaining workflows. Furthermore, familiarity with REST API integrations, basic database connections, and exposure to low-code/no-code tools like Zapier or Make will be advantageous. Having an understanding of webhooks and event-driven architectures, experience with tools such as Airtable or Notion for lightweight data handling, and familiarity with version control and collaboration tools like Git will be considered a significant advantage in your role. Overall, your role will involve working collaboratively with the team to streamline automation processes, enhance efficiency, and maintain reliable operations through effective workflow management and integration practices.,
As a Machine Learning Engineer, you will be responsible for designing and implementing scalable machine learning models throughout the entire lifecycle - from data preprocessing to deployment. Your role will involve leading feature engineering and model optimization efforts to enhance performance and accuracy. Additionally, you will build and manage end-to-end ML pipelines using MLOps practices, ensuring seamless deployment, monitoring, and maintenance of models in production environments. Collaboration with data scientists and product teams will be key in understanding business requirements and translating them into effective ML solutions. You will conduct advanced data analysis, create visualization dashboards for insights, and maintain detailed documentation of models, experiments, and workflows. Moreover, mentoring junior team members on best practices and technical skills will be part of your responsibilities to foster growth within the team. In terms of required skills, you must have at least 3 years of experience in machine learning development, with a focus on the end-to-end model lifecycle. Proficiency in Python using Pandas, NumPy, and Scikit-learn for advanced data handling and feature engineering is crucial. Strong hands-on expertise in TensorFlow or PyTorch for deep learning model development is also a must-have. Desirable skills include experience with MLOps tools like MLflow or Kubeflow for model management and deployment, familiarity with big data frameworks such as Spark or Dask, and exposure to cloud ML services like AWS SageMaker or GCP AI Platform. Additionally, working knowledge of Weights & Biases and DVC for experiment tracking and versioning, as well as experience with Ray or BentoML for distributed training and model serving, will be considered advantageous. Join our team and contribute to cutting-edge machine learning projects while continuously improving your skills and expertise in a collaborative and innovative environment.,
As a member of our team, you will play a key role in supporting the design and refinement of prompts for large language models (LLMs) to ensure accurate outputs. Your responsibilities will include assisting in data labeling, text preprocessing, and data preparation for NLP workflows. Additionally, you will help evaluate prompt performance, suggest improvements based on testing results, and contribute to small-scale NLP experiments and proof-of-concept studies. It will be essential for you to document prompt variations and results clearly for future reference and collaborate effectively with senior engineers and data scientists to integrate prompts into applications. You will also assist in maintaining prompt libraries, managing version control, and participate in team brainstorming sessions for new NLP features or improvements. To excel in this role, you must have at least 1 year of experience in natural language processing and prompt engineering focused on LLMs. Hands-on experience in Python, with a proficiency in leveraging NLTK or spaCy for text processing, is a must. Exposure to OpenAI API or similar LLM services for prompt design and testing, as well as familiarity with Hugging Face Transformers for basic fine-tuning and experimentation, will be valuable assets. Additionally, having an understanding of LangChain (basic) and Pinecone for vector-based retrieval tasks, along with experience using tools like Streamlit or Gradio for simple NLP demos, will be considered a definite advantage in this role.,
Company Description Sunflower Lab is a leading custom software development company with offices in the USA and India. We specialize in web, mobile, Al, cloud, and automation solutions, helping businesses transform ideas into reality. Our culture values innovation, transparency, ownership, and continuous learning.. Position: Delivery Manager Location: Vadodara (On-site) Experience: 5-7 Years Key Responsibilities: • Lead the delivery of multiple software projects from initiation to closure, ensuring timelines, quality, and client satisfaction. • Act as the bridge between clients, business teams, and technical teams. • Oversee and manage end-to-end project delivery for web, mobile, Al, and low-code/no-code solutions. • Drive project governance, risk management, and process improvement. • Mentor project managers, tech leads, and delivery teams for better performance. • Maintain strong communication with clients to manage expectations and project scope. Required Skills & Qualifications: • Strong technical foundation — started career as a developer. • Proven experience managing web, mobile, Al, and low-code/no-code projects. • Experience in Agile/Scrum methodologies. • Excellent client-facing and communication skills. • Strong problem-solving and decision-making ability. • Knowledge of project management tools like Jira, Trello, Asana, etc. • CSM or PMP certification is a plus.
Company Description Founded in 2010 on Sunflower Road in New Jersey, Sunflower Lab is a fast-growing, award-winning digital product and innovations agency with offices across North America and India. We specialize in AI/ML services, Data Analytics, RPA, and Mobile/Web App Development, developing ultimate products to suit business needs. With over 150+ talented engineers and designers globally, we help start-ups and global brands build innovative, custom technology solutions. Sunflower Lab focuses on making better technology today for an organization's tomorrow. We are seeking a highly experienced Talent Acquisition Specialist who can seamlessly blend recruitment expertise with Talent Management and Learning & Development (L&D) initiatives. This role is ideal for someone who not only excels at sourcing and hiring top IT talent but is also passionate about shaping their long-term career growth through structured training, upskilling, and development programs. You will work closely with department managers, HR leadership, and technical teams to ensure the organization continues to attract, retain, and develop high-quality IT professionals in a competitive talent market. Key Responsibilities are as follows: Talent Acquisition Lead end-to-end recruitment for IT and technical roles—from sourcing and screening to selection and onboarding. Develop and execute innovative sourcing strategies using job portals, social media, employee referrals, and niche platforms. Conduct technical and behavioral interviews to assess candidate fit. Negotiate offers and ensure a smooth onboarding process for new hires. Build and maintain a strong talent pipeline for current and future hiring needs. Establish strong university connections for campus hiring and internship programs . Track and report recruitment metrics (time-to-fill, cost-per-hire, offer acceptance rate, quality of hire). Talent Management & Learning & Development Conduct training needs assessments in collaboration with department heads. Design, implement, and manage learning programs focused on technical upskilling, leadership, and soft skills. Support managers in building career development and certification plans for employees. Partner with leadership on succession planning and internal mobility initiatives . Track L&D effectiveness using completion rates, skill improvement metrics, and feedback surveys. Contribute to employee engagement and retention through growth-driven HR programs . Required Skills & Competencies Strong knowledge of IT roles, emerging technologies, and in-demand skills (AI/ML, RPA, Cloud etc.). Proven expertise in sourcing, interviewing, and candidate engagement. Strong negotiation, closing, and stakeholder management skills. Ability to analyze recruitment and L&D data to drive decisions. Facilitation, presentation, and training delivery skills. Knowledge of HR practices, talent management frameworks, and employee engagement strategies. Collaborative mindset with the ability to work both independently and cross-functionally. Key Performance Indicators (KPIs) Recruitment Time-to-fill Offer acceptance rate Quality of hire L&D Training completion rates Employee satisfaction with training programs Skill enhancement and certification achievement Talent Management & Retention Reduction in early attrition Internal mobility and succession planning success Improved employee engagement scores Qualifications Education: Bachelor's degree in human resources, Business Administration, Psychology, or a related field. A master's degree in HR / MBA in HR is preferred. Certifications (added advantage): Talent Acquisition, HR Analytics, or Recruitment certifications (e.g., LinkedIn Recruiter Certification, SHRM-CP, HRCI aPHR/PHR). Certifications in Learning & Development (e.g., Instructional Design, Train-the-Trainer, or ATD programs). Exposure to HR Tech tools, ATS platforms, and LMS systems.
Company Description Founded in 2010 on Sunflower Road in New Jersey, Sunflower Lab is a fast-growing, award-winning digital product and innovations agency with offices across North America and India. We specialize in AI/ML services, Data Analytics, RPA, and Mobile/Web App Development, developing ultimate products to suit business needs. With over 150+ talented engineers and designers globally, we help start-ups and global brands build innovative, custom technology solutions. Sunflower Lab focuses on making better technology today for an organization's tomorrow. We are seeking a 5+ years of experienced Talent Acquisition & Development Specialist who can seamlessly blend recruitment expertise with Talent Management and Learning & Development (L&D) initiatives. This role is ideal for someone who not only excels at sourcing and hiring top IT talent but is also passionate about shaping their long-term career growth through structured training, upskilling, and development programs. You will work closely with department managers, HR leadership, and technical teams to ensure the organization continues to attract, retain, and develop high-quality IT professionals in a competitive talent market. Key Responsibilities are as follows: Talent Acquisition Lead end-to-end recruitment for IT and technical roles—from sourcing and screening to selection and onboarding. Develop and execute innovative sourcing strategies using job portals, social media, employee referrals, and niche platforms. Conduct technical and behavioral interviews to assess candidate fit. Negotiate offers and ensure a smooth onboarding process for new hires. Build and maintain a strong talent pipeline for current and future hiring needs. Establish strong university connections for campus hiring and internship programs . Track and report recruitment metrics (time-to-fill, cost-per-hire, offer acceptance rate, quality of hire). Talent Management & Learning & Development Conduct training needs assessments in collaboration with department heads. Design, implement, and manage learning programs focused on technical upskilling, leadership, and soft skills. Support managers in building career development and certification plans for employees. Partner with leadership on succession planning and internal mobility initiatives . Track L&D effectiveness using completion rates, skill improvement metrics, and feedback surveys. Contribute to employee engagement and retention through growth-driven HR programs . Qualifications Bachelor's degree in human resources, Business Administration, Psychology, or a related field. A master's degree in HR / MBA in HR is preferred. 4+ years of experience in sourcing, interviewing, and candidate engagement. Strong negotiation, closing, and stakeholder management skills. Knowledge of HR practices, talent management frameworks, learning and development, and employee engagement strategies. Strong knowledge of IT roles, emerging technologies, and in-demand skills (AI/ML, RPA, Cloud etc.).