Role : AWS Data engineer Years of Exp- 6 to 9 Years Work Mode- (Preferred 2- 3 days WFO at Chennai location) Optional: Remote (Candidate should be available for 1st week of Onboarding @ Chennai Loc)Shift Time- supporting IST hours Preferred Domain: Lifesciences/Pharma (Good to have) Mandate- Key skillset: AWS, Python, Databricks, Pyspark, SQL Roles and Responsibilities 1.Data Pipeline Development: Design, build, and maintain scalable data pipelines for ingesting, processing, and transforming large datasets from diverse sources into usable formats. 2.Data Integration and Transformation: Integrate data from multiple sources, ensuring data is accurately transformed and stored in optimal formats (e.g., Delta Lake, Redshift, S3). 3.Performance Optimization: Optimize data processing and storage systems for cost efficiency and high performance, including managing compute resources and cluster configurations. 4.Automation and Workflow Management: Automate data workflows using tools like Airflow, Databricks APIs, and other orchestration technologies to streamline data ingestion, processing, and reporting tasks. 5.Data Quality and Validation: Implement data quality checks, validation rules, and transformation logic to ensure the accuracy, consistency, and reliability of data. 6.Cloud Platform Management: Manage and optimize cloud infrastructure (AWS, Databricks) for data storage, processing, and compute resources, ensuring seamless data operations. 7.Migration and Upgrades: Lead migrations from legacy data systems to modern cloud-based platforms, ensuring smooth transitions and enhanced scalability. 8.Cost Optimization: Implement strategies for reducing cloud infrastructure costs, such as optimizing resource usage, setting up lifecycle policies, and automating cost alerts. 9.Data Security and Compliance: Ensure secure access to data by implementing IAM roles and policies, adhering to data security best practices, and enforcing compliance with organizational standards. 10.Collaboration and Support: Work closely with data scientists, analysts, and business teams to understand data requirements and provide support for data-related task

Job Title: Lead Data Scientist NLP & Computer Vision Location: India (Remote, with monthly travel to Indore and occasional travel to the UK) Employment Type: Permanent, Full-time About the Role We’re seeking an ambitious and highly capable Lead Data Scientist with deep expertise in Natural Language Processing (NLP) and Computer Vision (OpenCV) to take a leading role in our AI journey. This is a hands-on technical role with strategic scope — ideal for someone who thrives in building robust solutions, mentoring others, and wants to grow into a Head of Data Science position.You’ll be responsible for delivering high-impact AI projects across diverse data domains (text, image, and structured data), while also setting technical direction, guiding junior colleagues, and helping shape our data science capability across the organisation. Excellent communication — both written and spoken — will be critical, as you’ll work closely with technical and non-technical stakeholders in India and internationally.Key Responsibilities• Design, build, and deploy production-ready NLP and computer vision models to solve real-worldproblems.• Lead by example with hands-on development, research, and experimentation using cutting-edge ML/DL techniques. • Guide and mentor a small team of junior/mid-level data scientists and actively contribute to their growth. • Collaborate with cross-functional teams (Engineering, Product, Business) across geographies. • Apply advanced NLP techniques (e.g. classification, summarisation, entity extraction, semantic search) using tools like spaCy, HuggingFace Transformers, BERT, GPT, etc. • Solve computer vision challenges (e.g. object detection, image classification, feature extraction) using OpenCV, PyTorch, TensorFlow, etc. • Drive quality and performance tuning, experimentation frameworks, and model lifecycle practices. • Contribute to defining a strategic roadmap for data science and AI within the business. • Work with cloud platforms (Azure, AWS) for model training, deployment, and monitoring. • Occasionally travel to Indore (monthly) and to the UK (as needed) for collaborative sessions and leadership meetings.Required Skills & Experience • 6+ years of hands-on experience in data science, with at least 4 years focused on NLP and computer vision. • Strong Python skills, including use of Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. • Experience deploying ML models in cloud environments (Azure, AWS, or similar). • Solid grounding in machine learning fundamentals and deep learning architectures. • Proven ability to solve end-to-end ML problems — from exploration to deployment and monitoring. • Experience mentoring junior team members or leading technical efforts. • Excellent spoken and written English communication skills – able to clearly convey complex ideas to both technical and business audiences. • Collaborative mindset, with the ability to engage confidently across distributed teams and international stakeholders.Nice to Have • Experience with MLOps, experiment tracking, and CI/CD for machine learning (e.g. MLFlow, DVC,Kubeflow). • Exposure to geospatial, public sector, real estate, or sustainability data domains. • Familiarity with ethical AI principles, model interpretability, and responsible data use.

We are looking for a highly motivated Marketing and Sales Intern to join our team for our internship program. This is a great opportunity for someone who is eager to learn, grow, and contribute to real business outcomes in the B2B services space. Key Responsibilities Assist in identifying and reaching out to potential clients via LinkedIn, email, and other platforms Support in lead generation and follow-up activities Conduct market research to identify new business opportunities Coordinate meetings and maintain communication with prospective clients Prepare presentations, proposals, and pitch materials Maintain CRM systems and update business development trackers Collaborate with sales and marketing teams on campaign initiatives Required Skills & Qualifications Excellent written and verbal communication skills Out-of-the-box thinking and creative approach to problem-solving Strong interpersonal and presentation skills Basic understanding of sales funnel and business development process Proficiency in MS Office (Word, Excel, PowerPoint) Ability to work independently and as part of a team Bachelor's degree (pursuing or completed) in Business, Marketing, or related fields

Role & responsibilities Role: Inside Sales Executive Location: Chennai (Work from Office), Mylapore. Industry: IT Services Experience: Minimum 2 Years Joining: Immediate joiners preferred Role Overview: We are looking for a dynamic and results-driven Cold Calling Specialist with strong international calling experience to join our business development team. The role involves connecting with international clients, introducing our IT service offerings, and scheduling meetings with our Sales Development Representatives (SDRs).Key Responsibilities: Make outbound cold calls to international prospects (US, UK, APAC, etc.) Clearly articulate our IT services and value proposition Qualify leads and set up meetings for the sales team Manage lead data and activity logs in CRM Collaborate with SDRs and Business Heads for campaign execution Consistently meet calling and conversion targets Requirements: Minimum 2 years of experience in cold calling with a focus on international markets Excellent English communication skills with a neutral or global accent Strong interpersonal and persuasive skills Energetic, self-motivated, and target-driven Prior experience in IT services or tech staffing is preferred Must be comfortable with work from office setup Why Join Us: Exposure to international clients and markets Supportive team and growth opportunities Dynamic work culture with performance incentives

Role & responsibilities Make outbound cold calls to international prospects (US, UK, APAC, etc.) Clearly articulate our IT services and value proposition Qualify leads and set up meetings for the sales team Manage lead data and activity logs in CRM Collaborate with SDRs and Business Heads for campaign execution Consistently meet calling and conversion targets Preferred candidate profile Minimum 2 years of experience in cold calling with a focus on international markets Excellent English communication skills with a neutral or global accent Strong interpersonal and persuasive skills Energetic, self-motivated, and target-driven Prior experience in IT services or tech staffing is preferred Must be comfortable with work from office setup

Role & responsibilities Assist in identifying and reaching out to potential clients via LinkedIn, email, and other platforms Support in lead generation and follow-up activities Conduct market research to identify new business opportunities Coordinate meetings and maintain communication with prospective clients Prepare presentations, proposals, and pitch materials Maintain CRM systems and update business development trackers Collaborate with sales and marketing teams on campaign initiatives Preferred candidate profile Excellent written and verbal communication skills Out-of-the-box thinking and creative approach to problem-solving Strong interpersonal and presentation skills Basic understanding of sales funnel and business development process Proficiency in MS Office (Word, Excel, PowerPoint) Ability to work independently and as part of a team Bachelor's degree (pursuing or completed) in Business, Marketing, or related fields

Role: Inside Sales Executive Location: Chennai (Work from Office), Mylapore. Industry: IT Services Experience: Minimum 2 Years Salary: Up to 4 LPA Joining: Immediate joiners preferredRole Overview: We are looking for a dynamic and results-driven Cold Calling Specialist with strong international calling experience to join our business development team. The role involves connecting with international clients, introducing our IT service offerings, and scheduling meetings with our Sales Development Representatives (SDRs).Key Responsibilities: Make outbound cold calls to international prospects (US, UK, APAC, etc.) Clearly articulate our IT services and value proposition Qualify leads and set up meetings for the sales team Manage lead data and activity logs in CRM Collaborate with SDRs and Business Heads for campaign execution Consistently meet calling and conversion targets Requirements: Minimum 2 years of experience in cold calling with a focus on international markets Excellent English communication skills with a neutral or global accent Strong interpersonal and persuasive skills Energetic, self-motivated, and target-driven Prior experience in IT services or tech staffing is preferred Must be comfortable with work from office setup Why Join Us: Exposure to international clients and markets Supportive team and growth opportunities Dynamic work culture with performance incentives

Mandatory skills AWS,Python,Pyspark,SQL,Databricks Role & responsibilities Design, develop, and maintain robust and scalable data pipelines using AWS services and Databricks. Implement data processing solutions using PySpark and SQL to handle large volumes of data efficiently. Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs. Ensure data quality and integrity through rigorous testing and validation processes. Optimize data workflows for performance and cost-efficiency. Document data processes and provide support for data-related issues. Preferred candidate profile AWS Services: Proficiency in AWS services such as S3, EC2, Lambda, and Redshift. Programming: Strong experience in Python for data manipulation and scripting. Big Data Processing: Hands-on experience with PySpark for distributed data processing. SQL: Expertise in writing complex SQL queries for data extraction and transformation. Databricks: Experience in developing and managing workflows in Databricks environment.

Role Overview Are you passionate about building scalable data systems and working on cutting-edge cloud technologies? We're looking for a Senior Data Engineer to join our team and play a key role in transforming raw data into powerful insights. What Youll Do: Design, develop, and optimize scalable ETL/ELT pipelines and data integration workflows Build and maintain data lakes, warehouses, and real-time streaming pipelines Work with both structured and unstructured data, ensuring clean, usable datasets for analytics & ML Collaborate with analytics, product, and engineering teams to implement robust data models Ensure best practices around data quality, governance, lineage, and security Code in Python, SQL, PySpark, and work on Databricks Operate in AWS environments using Redshift, Glue, S3 Continuously monitor and optimize pipeline performance Document workflows and contribute to engineering standards What We’re Looking For: Strong hands-on experience in modern data engineering tools & platforms Cloud-first mindset with expertise in AWS data stack Solid programming skills and a passion for building high-performance data systems Excellent communication & collaboration skills

Do you love leading data-driven transformations and mentoring teams in building scalable data platforms? Were looking for a Data Tech Lead to drive innovation, architecture, and execution across our data ecosystem. Your Role: Lead the design and implementation of modern data architecture, ETL/ELT pipelines, and data lakes/warehouses Set technical direction and mentor a team of talented data engineers Collaborate with product, analytics, and engineering teams to translate business needs into data solutions Define and enforce data modeling standards, governance, and naming conventions Take ownership of the end-to-end data lifecycle: ingestion, transformation, storage, access, and monitoring Evaluate and implement the right cloud/on-prem tools and frameworks Troubleshoot and resolve complex data challenges, while optimizing for performance and cost Contribute to documentation, design blueprints, and knowledge sharing We’re Looking For Someone With: Proven experience in leading data engineering or data platform teams Expertise in designing scalable data architectures and modern data stacks Strong hands-on experience with cloud platforms (AWS/Azure/GCP) and big data tools Proficiency in Python, SQL, Spark, Databricks, or similar tools A passion for clean code, performance tuning, and high-impact delivery Strong communication, collaboration, and leadership skills

Key Responsibilities: • Design, develop, and optimize data pipelines, ETL/ELT processes, and data integration workflows. • Build and maintain data lakes, data warehouses, and real-time streaming pipelines. • Work with structured and unstructured data, transforming it into clean, usable datasets for analytics and machine learning. • Collaborate with analytics, product, and engineering teams to understand data requirements and implement data models accordingly. • Ensure data quality, governance, lineage, and security best practices. • Use programming languages and frameworks such as Python, SQL, PySpark, Databricks • Work with modern cloud data platforms like AWS (Redshift, Glue, S3) • Monitor and optimize data pipeline performance and troubleshoot any issues in data flow. • Document data processes and contribute to data engineering standards and frameworks

Role & responsibilities AI/ML Years of experience: 3-10 years (with minimum 3 years of relevant experience) Key Skills: Python, Tensorflow, Generative AI Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API Preferred candidate profile

Role & responsibilities Though not explicitly listed, typical Data Engineer responsibilities at Agilisium include: Designing, building, and maintaining scalable data pipelines using Python, PySpark, and Databricks. Integrating and transforming data from diverse sources with high performance and reliability. Utilizing AWS services (S3, EMR, Glue, etc.) for cloud-based data solutions. Ensuring data quality via validation, monitoring, and automated checks. Optionally leveraging Airflow to orchestrate workflows and pipelines. Collaborating with analytics, BI, and business teams to support data-driven decision-making Preferred candidate profile Proven experience processing large datasets in PySpark/Databricks within AWS environments. Strong SQL skills for querying and transforming data. Familiarity with data storage formats (Delta Lake), AWS IAM, cluster configuration, and cost optimization. Experience implementing data quality, monitoring, and performance tuning. (Preferred) Exposure to workflow automation using Airflow. Mandate - Python,Pyspark,SQL,AWS,Databricks

Role & responsibilities Data Engineer Contract Role Location : Remote Experience: 4 to 6 years Role Summary: The Offshore Technical Resource will support ongoing development and maintenance activities by delivering high-quality technical solutions. This resource will work closely with onshore teams, contribute to system enhancements, bug fixes, and provide timely technical support as part of the Datavant remediation and D365 support efforts. Key Responsibilities : Develop, test, and deploy technical components as per the specifications provided by the onshore team. Provide timely resolution of technical issues and production support tickets Participate in code reviews, ensuring adherence to coding standards and best practices. Contribute to system integrations, data migrations, and configuration tasks as needed. Document technical specifications, procedures, and support guides. Collaborate with QA teams to support testing activities and defect resolution. Maintain effective communication with onshore leads to align on priorities and deliverables. Qualifications: Hands-on expertise in ERP systems (preferably D365) or similar platforms. Proficiency in Datavant, Spark, SQL, and Python for data engineering and remediation tasks. Strong problem-solving and debugging skills.Good verbal and written communication skills. Preferred candidate profile

Senior QA Manual/Automation Engineer All-Rounder We’re looking for a proactive and versatile Role : Senior QA Engineer Experience : 3–7 years experience to join and augment our Team focused on Cloud, IoT, and Software platforms. Key Responsibilities: Lead QA planning and strategy; define and execute a clear QA roadmap. Collaborate cross-functionally with Cloud, IoT, and software teams. Perform manual and automation testing across UI, backend, mobile devices, and connected devices Chair Monthly/Weekly Meetings showcasing QA Milestones, Building Roadmap along with Risk Assessment and Mitigation Strategy All-rounder mindset — hands-on, strategic, and detail-driven Non-Negotiable Requirements:- Communication and Articulation Ability to work independently without any supervision/guidance Own the QA Process and develop it further Hands-on Experience with JMeter and iOS Testing

Role & responsibilities Senior QA Manual/Automation Engineer All-Rounder We’re looking for a proactive and versatile Senior QA Engineer (3–7 years experience) to join and augment our Team focused on Cloud, IoT, and Software platforms. Key Responsibilities: Lead QA planning and strategy; define and execute a clear QA roadmap. Collaborate cross-functionally with Cloud, IoT, and software teams. Perform manual and automation testing across UI, backend, mobile devices, and connected devices Chair Monthly/Weekly Meetings showcasing QA Milestones, Building Roadmap along with Risk Assessment and Mitigation Strategy All-rounder mindset — hands-on, strategic, and detail-driven Non-Negotiable Requirements:- Communication and Articulation Ability to work independently without any supervision/guidance Own the QA Process and develop it further Hands-on Experience with JMeter and iOS Testing Other Key Details: Location: CloudifyOps Bangalore Office and Periodic visit to the client's office Preferred candidate profile

Role & responsibilities Data Engineer Employment Type: Full Time Employment Work Mode: Work From Office Job Location: Hyderabad Walkin Date: 5-July-2025 Time: 11:00 am Years of experience: 4 to 12 years (with minimum 4 years of relevant experience) Notice: Immediate Skillset: Python, Pyspark, SQL, AWS, Databricks- Mandate Airflow-Good to have Preferred candidate profile

Experience & Compensation Experience Required: 412 years (minimum 4 years relevant) Notice Period: Immediate joiners Required Technical Skills Must-have: Python PySpark SQL AWS Databricks Nice-to-have: Apache Airflow Roles & Responsibilities Though not explicitly listed, typical Data Engineer responsibilities at Agilisium include: Designing, building, and maintaining scalable data pipelines using Python, PySpark, and Databricks. Integrating and transforming data from diverse sources with high performance and reliability. Utilizing AWS services (S3, EMR, Glue, etc.) for cloud-based data solutions. Ensuring data quality via validation, monitoring, and automated checks. Optionally leveraging Airflow to orchestrate workflows and pipelines. Collaborating with analytics, BI, and business teams to support data-driven decision-making.

Role: Business Development - Inside Sales Specialist Location: Chennai (Work from Office), Mylapore. Industry: IT Services Experience: Minimum 2 Years Salary: Up to 4 LPA Joining: Immediate joiners preferredRole Overview: We are looking for a dynamic and results-driven Cold Calling Specialist with strong international calling experience to join our business development team. The role involves connecting with international clients, introducing our IT service offerings, and scheduling meetings with our Sales Development Representatives (SDRs).Key Responsibilities: Make outbound cold calls to international prospects (US, UK, APAC, etc.) Clearly articulate our IT services and value proposition Qualify leads and set up meetings for the sales team Manage lead data and activity logs in CRM Collaborate with SDRs and Business Heads for campaign execution Consistently meet calling and conversion targets Requirements: Minimum 2 years of experience in cold calling with a focus on international markets Excellent English communication skills with a neutral or global accent Strong interpersonal and persuasive skills Energetic, self-motivated, and target-driven Prior experience in IT services or tech staffing is preferred Must be comfortable with work from office setup Why Join Us: Exposure to international clients and markets Supportive team and growth opportunities Dynamic work culture with performance incentives

Role & responsibilities Job Description: A detail-oriented and technically proficient Business Intelligence (BI) Engineer with strong Tableau expertise to support data analytics, dashboard development, and reporting initiatives. The ideal candidate has a solid background in SQL, data modeling, and visualization, with experience transforming raw data into actionable insights for business stakeholders Key Responsibilities • Design, build, and maintain Tableau dashboards and visualizations that communicate key business metrics. • Collaborate with business analysts, data engineers, and stakeholders to gather requirements and transform them into technical solutions. • Write and optimize SQL queries to extract, transform, and load data from various sources. • Support data quality, validation, and integrity across reports and dashboards. • Develop and maintain data models and ETL pipelines for BI use cases. • Perform ad hoc analyses and provide insights to business teams across departments (e.g., Marketing, Finance, Sales). • Assist in user training and documentation of BI solutions. • Participate in code reviews, version control, and agile sprint ceremonies (if applicable) Required Qualifications • 3-5 years of experience in BI engineering or data analytics roles. • Proficiency in Tableau (Desktop and Server) creating interactive dashboards, storyboards, and advanced charts. • Strong knowledge of SQL (PostgreSQL, MySQL, SQL Server, etc.) • Experience with data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery, etc.) • Familiarity with ETL tools (e.g., Talend, Informatica, Apache Airflow, dbt) is a plus. • Understanding of data governance and security best practices. • Ability to translate business needs into scalable BI solutions Nice to Have: • Exposure to cloud platforms like AWS, Azure, or GCP. • Knowledge of Agile/Scrum methodology. • Experience in performance tuning of dashboards and SQL queries Preferred candidate profile