About the Role We are looking for a highly organized and proactive Partner Operations Manager with experience working in an IT consulting or cloud-focused environment. This role is ideal for someone who has worked with companies like Ingram Micro, AWS, or Databricks, and is comfortable managing both strategic and operational aspects of partnerships. Key Responsibilities Manage and support partner onboarding and relationships, especially with vendors like AWS, Ingram Micro, and Databricks. Own and execute partnership-related GTM activities including joint campaigns, co-branded outreach, and enablement. Handle the setup and ongoing management of QuickBooks for partner and customer billing. Draft, send, and follow up on contracts , invoices , and payment collections . Coordinate with internal teams on partnership applications, renewals, and compliance. Apply for and manage new cloud/channel partner programs as needed. Requirements 4+ years of experience in a Partner Manager or Operations role in an IT consultancy, cloud reseller, or system integrator. Prior exposure to partner ecosystems of AWS , Ingram Micro , or Databricks . Strong hands-on experience with QuickBooks , CRM tools, and cloud partnership portals. Excellent written and verbal communication skills. Highly organized, self-driven, and able to work independently in a remote environment. Why Join Us Work directly with global cloud vendors High ownership, fast-paced environment Opportunity to grow with a high-impact, cross-border team Show more Show less

Job Title: AI Engineer Location: Remote Employment Type: Full-time About the Role: We are seeking a skilled and motivated AI Engineer to help us build intelligent, agentic systems that drive real-world impact. In this role, you will develop, deploy, and maintain AI models and pipelines - working with large language models (LLMs), vector databases, and orchestration frameworks like Langchain. You will collaborate across teams to build robust, scalable AI-driven solutions. Key Responsibilities- Design and develop intelligent systems using LLMs, retrieval-augmented generation (RAG), and agentic frameworks. Build and deploy AI pipelines using Langchain, vector stores, and custom tools.- Integrate models with production APIs and backend systems. Monitor, fine-tune, and improve performance of deployed AI systems.- Collaborate with data engineers, product managers, and UX designers to deliver AI-first user experiences. Stay up to date with advancements in generative AI, LLMs, and orchestration frameworks. Required Qualifications 2-5 years of experience in building and deploying machine learning or AI-based systems. Hands-on experience with Langchain in building agent workflows or RAG pipelines. Proficiency in Python and frameworks such as PyTorch, TensorFlow, or Scikit-learn. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Strong understanding of prompt engineering, embeddings, and vector database operations (e.g., FAISS, Pinecone, Weaviate). Familiarity with MLOps tools such as MLflow, SageMaker, or Vertex AI. Preferred Qualifications Experience with large language models (e.g., GPT, Claude, LLaMA) and GenAI platforms (e.g., OpenAI, Bedrock, Anthropic). Background in NLP, RAG architectures, or autonomous agents. Experience in deploying AI applications via APIs and microservices. Contributions to open-source Langchain or GenAI ecosystems. Why Join Us? Remote-first company working on frontier AI systems. Opportunity to shape production-grade AI experiences used globally. Dynamic, collaborative, and intellectually curious team. Competitive compensation with fast growth pot Show more Show less

Job Title: Data Engineer – AWS Full Stack Location: India (Remote or Hybrid) Contract Type: Full-time, 1-Year Contract Experience Required: Minimum 5 years Start Date: Immediate Compensation: Competitive (Based on experience) About the Role We are seeking a highly skilled Data Engineer with deep expertise in the AWS ecosystem and full-stack data engineering . The ideal candidate will be responsible for designing, developing, and maintaining robust data pipelines and analytics platforms that support critical business insights and decision-making. This is a 1-year contract role ideal for professionals who have experience across data ingestion, transformation, cloud infrastructure, and data operations. Key Responsibilities Design and build end-to-end data pipelines using AWS services (Glue, Lambda, S3, Athena, Redshift, EMR, etc.). Develop and manage ETL/ELT processes , ensuring data quality, scalability, and maintainability. Collaborate with product, analytics, and engineering teams to deliver data models, APIs, and real-time data solutions . Implement best practices for data governance, lineage, monitoring, and access control . Automate data workflows using tools like Airflow, Step Functions , or custom scripts. Create and maintain infrastructure as code (IaC) using CloudFormation or Terraform for AWS data components. Optimize data warehouse and lakehouse architectures for performance and cost. Required Skills & Qualifications 5+ years of experience in data engineering, including cloud-native data development. Strong expertise in AWS data services : Glue, S3, Lambda, Redshift, Athena, Kinesis, EMR, etc. Proficiency in SQL, Python, and Spark for data manipulation and transformation. Experience with DevOps tools (CI/CD, Git, Docker) and infrastructure automation. Knowledge of data modeling , schema design, and performance tuning for large-scale datasets. Ability to work independently in a contract environment , managing priorities and deadlines. Preferred Qualifications Familiarity with streaming data architectures using Kafka/Kinesis. Experience working in regulated or large-scale enterprise environments . Exposure to BI tools (e.g., QuickSight, Tableau, Power BI) and API integration for downstream consumption. Show more Show less

Job Title: Cloud Architect – AWS (6-Month Contract) Location: Remote Contract Duration: 6 Months Start Date: Immediate Salary: Competitive – To be discussed based on experience About the Role: We are seeking two experienced AWS Cloud Architects for a high-impact project. The ideal candidates will have deep expertise in AWS cloud architecture, infrastructure as code (IaC), and cloud security. You’ll work closely with senior stakeholders including the Head of Security and Head of Cloud & DevOps to design, implement, and secure scalable AWS cloud environments. Key Responsibilities: Lead the architecture, design, and deployment of secure AWS cloud infrastructure. Collaborate with security and DevOps leads to define and enforce best practices in cloud security posture and infrastructure automation . Develop and maintain IaC templates using Terraform and Python scripts . Provide technical leadership and guidance on AWS best practices, scalability, and security. Ensure compliance with internal and external cloud security standards. Support DevOps workflows with continuous integration and delivery (CI/CD) where required. Requirements: Minimum 5+ years of hands-on experience in AWS cloud architecture and deployment. AWS Certified Solutions Architect – Associate (Professional preferred). Proficiency in Terraform , Python , and other IaC tools. Strong knowledge of cloud security principles , compliance, and risk management. Experience working with DevOps and Cloud Engineering teams. Excellent communication and documentation skills. Preferred Qualifications: AWS Certified Security – Specialty certification is a strong plus. AWS Solution Architect Associate is a must Experience with secure multi-account AWS environments, landing zones, and governance. Familiarity with tools like AWS Config, Security Hub, GuardDuty, IAM, and CloudTrail. Show more Show less

Job Title: Technical Lead – AI & LLMs Location: India (Remote or Hybrid as required) Employment Type: 12-Month Contract (Extendable) Compensation: Competitive, based on experience Team Size: Leading a team of 20 engineers About the Role We are looking for a Technical Lead with hands-on experience in Large Language Models (LLMs) , generative AI systems, and full-stack AI product development. In this contract role, you will be responsible for leading and coordinating a multidisciplinary team of 20 engineers to design, build, and deploy AI-driven solutions from concept to production. Key Responsibilities Architect and lead the development of AI-powered applications using LLMs and generative AI frameworks. Supervise model development, fine-tuning, prompt engineering, and RAG pipelines. Lead end-to-end implementation across data pipelines, backend APIs, and deployment infrastructure. Mentor a cross-functional team of machine learning engineers, backend developers, and DevOps specialists. Collaborate with stakeholders to align product requirements with technical deliverables. Set coding standards, enforce best practices, and ensure timely project delivery. Implement CI/CD and MLOps processes using tools like MLflow, SageMaker, or Vertex AI. Ensure scalability, security, and performance of deployed AI services. Required Skills 8+ years in software engineering, with at least 3+ years in AI/ML development. Proven experience working with LLMs, transformer models, and modern NLP frameworks. Proficient in Python , cloud services (AWS/GCP), RESTful APIs, and containerization (Docker/Kubernetes). Experience with LangChain, LlamaIndex, vector databases (FAISS, Pinecone, Weaviate), and orchestration tools. Demonstrated success in managing medium-to-large engineering teams and delivering AI products at scale. Strong communication, documentation, and leadership skills. Preferred Qualifications Experience working with open-source or commercial LLM providers (e.g., OpenAI, Mistral, Claude). Familiarity with frontend integration for AI interfaces (e.g., chatbot UIs, copilots). Awareness of AI safety, bias mitigation, and ethical deployment practices. Prior experience in startup or rapid innovation environments. Contract Details Duration: 12 months (with potential to extend) Location: India (remote-first with optional in-person meetings) Work Schedule: Full-time, flexible hours Reporting To: Partner of the company Show more Show less

The Opportunity: We are seeking a highly experienced and technically proficient Solution Consultant to join our growing team. In this pivotal role, you will be responsible for translating complex Supply Chain business challenges within the manufacturing industry into innovative Data and AI-driven solutions. You will be a trusted advisor to our clients, bridging the gap between business needs and technical capabilities, and ultimately driving the successful adoption of our cutting-edge solutions. Key Responsibilities: Solution Architecture & Design: Lead the design and architecture of end-to-end Data and AI solutions specifically tailored for Supply Chain use cases in manufacturing. This includes, but is not limited to, areas such as demand forecasting, inventory optimization, production planning, logistics and transportation optimization, supplier risk management, quality control, and predictive maintenance. Discovery & Needs Assessment: Conduct in-depth discovery sessions with clients to understand their current Supply Chain processes, pain points, data landscape, and strategic objectives. Identify opportunities where Data and AI can deliver significant business value. Use Case Definition & Prioritization: Collaborate with clients to define, prioritize, and articulate compelling Data and AI use cases, demonstrating a clear understanding of the ROI and impact on Supply Chain key performance indicators (KPIs). Technical Expertise & Guidance: Provide deep technical expertise in data engineering, machine learning, and AI concepts relevant to Supply Chain. Guide clients on data requirements, integration strategies, model selection, and deployment considerations. Proof-of-Concept (POC) & Pilot Support: Work closely with data science and engineering teams to support the development and demonstration of POCs and pilots, showcasing the capabilities and value of proposed solutions. Presales & Sales Enablement: Partner with sales teams to articulate the value proposition of our Data and AI solutions, deliver compelling presentations and demonstrations, and respond to technical questions during the sales cycle. Industry & Domain Expertise: Leverage a strong understanding of manufacturing industry dynamics, common Supply Chain challenges, and relevant industry standards (e.g., SCM, ERP systems, Industry 4.0). Stakeholder Management: Build strong relationships with various stakeholders, including business leaders, IT teams, data scientists, and engineers, at all levels of client organizations. Market Insights: Stay abreast of the latest trends, technologies, and best practices in Data, AI, and Supply Chain management within the manufacturing sector. Content Creation: Contribute to the development of solution accelerators, whitepapers, presentations, and other collateral that articulate our value proposition. Qualifications: Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Industrial Engineering, Supply Chain Management, or a related quantitative field. Experience: Minimum of 7+ years of experience in a Solution Consultant, Solution Architect, or similar client-facing role. Proven track record of architecting and delivering successful Data and AI solutions for Supply Chain business functions. Strong domain expertise in the manufacturing industry vertical , with a deep understanding of its unique Supply Chain complexities. Hands-on experience with various stages of the data and AI lifecycle, from data ingestion and transformation to model development, deployment, and monitoring. Technical Skills: Proficiency in data technologies (e.g., SQL, NoSQL databases, data warehousing, data lakes). Experience with cloud platforms (e.g., AWS, Azure, GCP) and their respective AI/ML services. Familiarity with programming languages commonly used in data science (e.g., Python, R). Understanding of machine learning algorithms and statistical modeling techniques relevant to forecasting, optimization, and classification. Knowledge of data visualization tools (e.g., Tableau, Power BI, Qlik Sense). Domain Knowledge: In-depth understanding of core Supply Chain processes in manufacturing (e.g., S&OP, demand planning, inventory management, production scheduling, logistics). Familiarity with common manufacturing systems (e.g., ERP, MES, APS). Soft Skills: Exceptional communication, presentation, and interpersonal skills with the ability to articulate complex technical concepts to non-technical audiences. Strong analytical and problem-solving abilities. Ability to work independently and as part of a collaborative team. Client-focused mindset with a passion for driving business outcomes. Strong business acumen and the ability to connect technology solutions to business value. Bonus Points If You Have: Experience with specific Supply Chain planning or optimization software. Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure AI Engineer). Experience with MLOps practices and tools. Prior experience working in a consulting environment. Show more Show less