Job Title: AI/ML Engineer Location: Hyderabad, India Work Mode: Onsite (5 days/week) Experience: 3+ Years (including 2+ years in AI/ML) Employment Type: Full-time Position Overview: We are looking for a highly motivated and skilled AI/ML Engineer to join our team in Hyderabad . This is a full-time, onsite role offering the opportunity to build and deploy real-world AI applications using cutting-edge tools including AWS Bedrock , SageMaker , and other cloud-native services. The ideal candidate will have a passion for solving business problems with AI and experience bringing AI models to life in production environments. Key Responsibilities: Design, build, and deploy end-to-end AI/ML solutions for real-world applications Work with AWS services like Bedrock , SageMaker , Lambda , and Step Functions for model training, inference, and orchestration Collaborate with product, engineering, and data teams to define technical solutions Conduct data preparation, feature engineering, model training, and performance tuning Ensure scalable and cost-effective AI model deployment in cloud environments Stay current on emerging trends in Generative AI, foundation models, and MLOps practices Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field 3+ years of total experience in software development, with 2+ years focused on AI/ML Proven experience in building and deploying AI applications in production Hands-on expertise with Python and ML frameworks like PyTorch , TensorFlow , or Scikit-learn Experience with AWS AI/ML tools, especially SageMaker and Bedrock Solid understanding of data pipelines, APIs, and inference optimization Familiarity with prompt engineering and using foundation models in enterprise applications Preferred Skills: Exposure to LLMs , RAG architectures , or agentic AI systems Understanding of MLOps principles and tools (CI/CD for ML, monitoring, retraining loops) Experience in NLP, computer vision, or time-series forecasting Work Arrangement: Location: Hyderabad (onsite only) Work Schedule: Monday to Friday (5 days a week, in-office) Show more Show less
Job Title: AI/ML Engineer Location: Hyderabad, India Work Mode: Onsite (5 days/week) Experience: 3+ Years (including 2+ years in AI/ML) Employment Type: Full-time (Onsite | F2F interview mandatory) Position Overview: We are looking for a highly motivated and skilled AI/ML Engineer to join our team in Hyderabad . This is a full-time, onsite role offering the opportunity to build and deploy real-world AI applications using cutting-edge tools, including AWS Bedrock , SageMaker , and other cloud-native services. The ideal candidate will have a passion for solving business problems with AI and experience bringing AI models to life in production environments. Key Responsibilities: Design, build, and deploy end-to-end AI/ML solutions for real-world applications Work with AWS services like Bedrock , SageMaker , Lambda , and Step Functions for model training, inference, and orchestration Collaborate with product, engineering, and data teams to define technical solutions Conduct data preparation, feature engineering, model training, and performance tuning Ensure scalable and cost-effective AI model deployment in cloud environments Stay current on emerging trends in Generative AI, foundation models, and MLOps practices Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field 3+ years of total experience in software development, with 2+ years focused on AI/ML Proven experience in building and deploying AI applications in production Hands-on expertise with Python and ML frameworks like PyTorch , TensorFlow , or Scikit-learn Experience with AWS AI/ML tools, especially SageMaker and Bedrock Solid understanding of data pipelines, APIs, and inference optimization Familiarity with prompt engineering and using foundation models in enterprise applications Preferred Skills: Exposure to LLMs , RAG architectures , or agentic AI systems Understanding of MLOps principles and tools (CI/CD for ML, monitoring, retraining loops) Experience in NLP, computer vision, or time-series forecasting Work Arrangement: Location: Hyderabad (onsite only) Work Schedule: Monday to Friday (5 days a week, in-office)
Job Title: AI/ML Engineer Location: Hyderabad, India Work Mode: Onsite (5 days/week) Experience: 0-1 (Freshers Welcome) Employment Type: Full-time Position Overview: We are looking for a highly motivated and skilled AI/ML Engineer to join our team in Hyderabad . This is a full-time, onsite role offering the opportunity to build and deploy real-world AI applications using cutting-edge tools including AWS Bedrock , SageMaker , and other cloud-native services. The ideal candidate will have a passion for solving business problems with AI and experience bringing AI models to life in production environments. Key Responsibilities: Design, build, and deploy end-to-end AI/ML solutions for real-world applications Work with AWS services like Bedrock , SageMaker , Lambda , and Step Functions for model training, inference, and orchestration Collaborate with product, engineering, and data teams to define technical solutions Conduct data preparation, feature engineering, model training, and performance tuning Ensure scalable and cost-effective AI model deployment in cloud environments Stay current on emerging trends in Generative AI, foundation models, and MLOps practices Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field Proven experience in building and deploying AI applications in production Hands-on expertise with Python and ML frameworks like PyTorch , TensorFlow , or Scikit-learn Experience with AWS AI/ML tools, especially SageMaker and Bedrock Solid understanding of data pipelines, APIs, and inference optimization Familiarity with prompt engineering and using foundation models in enterprise applications Preferred Skills: Exposure to LLMs , RAG architectures , or agentic AI systems Understanding of MLOps principles and tools (CI/CD for ML, monitoring, retraining loops) Knowledge in NLP, computer vision, or time-series forecasting Work Arrangement: Location: Hyderabad (onsite only) Work Schedule: Monday to Friday (5 days a week, in-office) Company Name: Mean Square AI
Job Title: Inside Sales Account Manager Location: Hyderabad,India Employment Type: Full-time About the Role We are looking for a motivated and client-focused Account Manager who can blend sales expertise with technical understanding to drive success in the US offshore hiring market . In this role, you will be responsible for managing client relationships end-to-end — from onboarding and technical alignment to account growth and retention. You will act as a trusted advisor to clients, ensuring their business and technical needs are met while driving sales growth through upselling, renewals, and expanded engagements . Key Responsibilities Act as the primary liaison for new US clients, guiding them through the onboarding process and setting clear expectations. Understand and document clients’ business and technical requirements to ensure seamless offshore hiring. Educate clients on offshore hiring models, compliance, and delivery processes. Build long-term, trust-based relationships that drive retention, upselling, and account expansion. Drive revenue growth by identifying opportunities for additional placements, project staffing, and expanded offshore engagements. Provide consultative insights on technical hiring trends and market shifts in the US. Proactively monitor client satisfaction and resolve technical or delivery challenges to strengthen client partnerships. Meet and exceed sales targets through account expansion, upselling, and client renewals. Technical Understanding & Coordination Conduct technical discovery discussions with clients to understand skills, tools, and technology stack requirements. Collaborate with recruitment/delivery teams to align offshore candidates with technical needs. Review candidate profiles, resumes, and skill sets to provide technical feedback before client submission. Act as a bridge between non-technical stakeholders and technical teams, ensuring clarity and accuracy throughout the process. Qualifications & Skills Bachelor’s degree in Business, Computer Science, Information Technology, or related field (MBA or technical certifications a plus). 3–7 years of experience in sales/account management or technical recruitment , with exposure to US clients . Strong technical fluency across domains (IT, software development, engineering, cloud, data, etc.). Ability to engage in consultative discussions and evaluate technical candidate profiles. Excellent communication, presentation, and relationship-building skills with both technical and non-technical stakeholders. Experience with CRM/ATS platforms (Salesforce, HubSpot, Bullhorn, or similar). Goal-oriented, self-driven, and capable of handling multiple accounts simultaneously. What We Offer Competitive salary with attractive incentives and growth-linked earning potential. Opportunity to work with global clients and advanced technologies. Career growth at the intersection of sales, account management, and technical consulting . A collaborative, innovative, and fast-paced work environment.
Job Title: SAP Analytics Cloud Consultant About the Role We are seeking a highly skilled SAP Analytics Cloud (SAC) Consultant to design, implement, and optimize analytics and planning solutions for enterprise clients. The ideal candidate will bring hands-on expertise in SAC, strong planning capabilities, and the ability to integrate with SAP Datasphere, BW/4HANA, and S/4HANA. Any experience in order-to-cash (OTC) analytics would be a strong plus. Key Responsibilities Develop and deliver SAP Analytics Cloud (SAC) stories, dashboards, and reports tailored to business needs. Implement SAC Planning features for forecasting, budgeting, allocations, and predictive modeling. Utilize Analytics Designer to build customized applications and interactive dashboards. Designed and maintained data models , integrating SAC with SAP Datasphere, SAP BW/4HANA, and S/4HANA . Implement SAC security concepts, including roles, authorizations, and access control. Collaborate with business stakeholders across finance, sales, and supply chain to translate requirements into insights. Ensure performance optimization, data quality, and governance within SAC environments. Required Skills & Experience Proven hands-on experience with SAP Analytics Cloud (SAC) . Strong expertise in SAC Planning : forecasting, budgeting, allocations, and predictive features. Proficiency in Analytics Designer for building custom apps. Solid understanding of data modeling and integration with SAP Datasphere, SAP BW/4HANA, and S/4HANA . Knowledge of SAC security concepts : roles, authorizations, and access control. Familiarity with SAP BTP, SQL, and scripting (JavaScript in SAC) . Strong business acumen in finance, sales, and supply chain domains. Experience with Order-to-Cash (OTC) analytics is a strong advantage. Preferred Qualifications Prior experience in consulting or client-facing roles . Knowledge of predictive analytics and advanced planning features. Exposure to cloud platforms (Azure, AWS, or GCP) . Experience with Agile project delivery and stakeholder management. Tech Stack Core: SAP Analytics Cloud (SAC Planning, Stories, Analytics Designer) Integration: SAP Datasphere, SAP BW/4HANA, S/4HANA, SAP BTP Languages & Tools: SQL, JavaScript (for SAC scripting), Python (preferred) Business Domains: Finance, Sales, Supply Chain, Order-to-Cash Analytics Why Join Us Opportunity to work on cutting-edge analytics and planning solutions . Collaborate with global clients across multiple industries. Career growth through exposure to SAP's latest cloud technologies . Inclusive and collaborative work environment.
Job Title: AI/ML Engineer Location: Hyderabad, India Work Mode: Onsite (5 days/week) Experience: 0–3 Years Employment Type: Full-time Position Overview: We are looking for an enthusiastic and motivated AI/ML Engineer with 0–3 years of experience to join our team in Hyderabad. This is a full-time, onsite role where you will gain hands-on experience in building and deploying AI/ML applications. The ideal candidate should have a strong foundation in programming, machine learning concepts, and a passion for solving real-world problems using data and AI. Key Responsibilities: Assist in designing, building, and testing AI/ML models for real-world applications. Work on data preparation, cleaning, preprocessing, and feature engineering. Train and evaluate machine learning and deep learning models. Collaborate with product and engineering teams to support AI/ML use cases. Create basic dashboards, visualizations, and reports for stakeholders. Stay updated on AI/ML frameworks, libraries, and tools to improve skills continuously. Required Qualifications: Bachelor’s degree in Computer Science, Data Science, AI/ML, or related field. Internship or academic project experience in AI/ML is preferred. Strong programming skills in Python. Familiarity with ML frameworks/libraries: Scikit-learn, TensorFlow, or PyTorch. Understanding of fundamental ML algorithms (classification, regression, clustering). Basic experience with data handling using Pandas, NumPy. Knowledge of SQL for data querying. Preferred Skills: Exposure to data visualization tools (Matplotlib, Seaborn, or Power BI/Tableau). Awareness of cloud platforms (AWS SageMaker, Azure ML, Google AI Platform). Understanding of version control (Git, GitHub). Basic knowledge of NLP or Computer Vision libraries (NLTK, Spacy, OpenCV). Eagerness to learn MLOps practices and AI deployment workflows. Work Arrangement: Location: Hyderabad (onsite only) Work Schedule: Monday to Friday (5 days a week, in-office)
Data Engineer (onsite | Offshore | PST Overlap Required) We’re looking for an experienced and independent Data Engineer to help us design and build data systems that are clean, scalable, and reusable. If you enjoy working with modern data tools, solving real-world data problems, and collaborating with a supportive and capable team, we’d love to connect. This is a Onsite contractor role . You can be based offshore, but we ask for at least 3 hours of overlap with the Pacific Time Zone (PST), ideally available until at least 11 AM PST . What You’ll Do Build modular and scalable data pipelines that integrate data from multiple sources. Analyze raw data and organize it based on business requirements. Collaborate with data scientists, engineers, and application teams to design effective solutions. Ensure that systems are reliable, reusable, and aligned with best practices. Identify and address data gaps, quality issues, or discrepancies proactively. Contribute to architectural discussions with a strong understanding of cloud-native patterns. What We’re Looking For Strong foundation in cloud-native application architecture . Hands-on experience with both relational and non-relational databases , including understanding their trade-offs and design considerations. Familiarity with API design and implementation . Comfortable working independently and communicating clearly in a remote environment. A solid grasp of software engineering principles , clean code practices, and system design. Technical Skills Python and Data Engineering Proficient in Python , with a strong understanding of object-oriented programming, data structures, and algorithms. Experience with Apache Spark and PySpark , especially using Azure Databricks for large-scale data processing. Azure Cloud Platform Practical experience with Azure services , including Function Apps, Blob Storage, DevOps, Networking, and Access Control. Familiarity with Azure data services, such as: Azure SQL Database Azure Synapse Analytics Azure Cosmos DB Azure Database for PostgreSQL Azure Data Lake Storage Azure Data Factory (ADF) for orchestration and data integration Database and SQL Strong SQL skills, including querying, transforming, and managing data in relational databases. Workflow and Orchestration Familiarity with scheduling and orchestrating data pipelines using workflow tools. Role Details Type : Independent Contractor (Onsite) Full-time Location : Hyderabad, India Time Zone Requirement : Minimum 3 hours of overlap with PST (available until 11 AM PST)