We are looking for ITX/WTX Developer Email : ragavisaravanan@akrossit.com Experience : 6-10 years Location : Offshore (Delhi NCR, Chennai, Bangalore, Kochi) Mandatory Keywords : Healthcare Domain Must-Have Java Spring boot, Microservice, Backend services experience is Must Proficiency in IBM Transformation Extender (ITX) tools and components (e.g., ITX Designer, ITX Toolkit, ITX runtime environment). Strong understanding of data transformation processes, mapping, and routing using ITX. Expertise in troubleshooting and resolving complex ITX job failures and performance issues. DataPower Exp Experience with SQL database integration, connect to MQ,etc. Experience with automation and scripting languages (e.g., Python, Bash, PowerShell) for managing ITX jobs and processes. Good-to-Have Identifies impact analysis and provides resolution or escalation. Creates reports and share them with Stakeholders Result-focused, team-oriented professional with a strong work ethic. Strong verbal communication skills with the ability to present technical details to a non-technical audience and prepare clear and concise written documentation DataPower Experience Expectations from the Role Provide day-to-day support for IBM Transformation Extender (ITX) jobs and data transformation processes. Troubleshoot and resolve issues related to data transformation, message flows, and ITX jobs.Perform root cause analysis for failed ITX jobs, ensuring the timely identification and resolution of problems. Troubleshoot and resolve integration-related issues, including data inconsistencies and transformation errors between ITX and other applications. Optimize ITX jobs to enhance their performance, reduce processing times, and minimize resource consumption. Patch management, and maintenance tasks for ITX and related systems. Coordinate with other teams to move ITX jobs through various development stages, ensuring proper testing and quality assurance. Support integration efforts between ITX and other middleware and data systems (e.g., message queues, databases, and other data sources). Document troubleshooting steps and best practices to aid in faster issue resolution and knowledge sharing. Stay updated with the latest IBM technologies and industry trends, and apply them to projects when appropriate. Provide technical guidance and mentorship to junior developers. Show more Show less
Experience : 1 to 3 years Notice Period : Less than 15 days or immediate Mode of work : ON-SITE Key Responsibilities Design, develop, and deploy AI and machine learning models for real-time or batch applications. Work with large datasets to build, train, and validate predictive and generative models. Collaborate with data scientists, engineers, and product teams to integrate AI into products and services. Optimize models for performance, scalability, and accuracy. Research and implement state-of-the-art techniques in machine learning, deep learning, NLP, or computer vision. Write clean, modular, and well-documented code. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field. 3+ years of hands-on experience with ML/AI frameworks like TensorFlow, PyTorch, Scikit-learn, etc. Proficient in Python and libraries such as NumPy, Pandas, and OpenCV. Experience with deploying models using APIs (REST/GraphQL) or platforms like AWS SageMaker, Azure ML, or GCP AI. Solid understanding of AI model lifecycle and MLOps practices. Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Preferred Qualifications Experience with LLMs (e.g., GPT, BERT) or generative AI. Familiarity with AI ethics and model interpretability. Knowledge of data pipelines, ETL processes, or real-time stream processing (Kafka, Spark). Contributions to open-source AI projects or published research papers. What We Offer Competitive salary and performance bonuses Flexible work hours and remote options Professional development budget Collaborative and inclusive team culture Opportunity to work on impactful AI applications in [healthcare, fintech, logistics, etc.] Job Type: Full-time Pay: ₹600,000.00 - ₹840,000.00 per year Benefits: Health insurance Internet reimbursement Paid sick time Provident Fund Location Type: In-person Schedule: Day shift Fixed shift Monday to Friday Work Location: In person
year of IT experiences with deep expertise in S3, Redshift, Aurora, Glue and Lambda services. Atleast one instance of proven experience in developing Data platform end to end using AWS Hands-on programming experience with Data Frames, Python, and unit testing the python as well as Glue code. Experience in orchestrating mechanisms like Airflow, Step functions etc. Experience working on AWS redshift is Mandatory. Must have experience writing stored procedures, understanding of Redshift data API and writing federated queries Experience in Redshift performance tunning.Good in communication and problem solving. Very good stakeholder communication and management Job Types: Full-time, Permanent Pay: ₹1,068,726.69 - ₹3,529,919.70 per year Benefits: Health insurance Internet reimbursement Paid sick time Provident Fund Location Type: In-person Schedule: Day shift Fixed shift Monday to Friday Work Location: In person
Company Description At Akross IT, we specialize in building, scaling, and deploying end-to-end AI and Machine Learning solutions to enable smarter, more innovative businesses. From custom AI/ML model development to AI-powered applications, we help organizations unlock the full potential of intelligent technology. Our services include bespoke AI model development, scalable AI-driven software solutions, and comprehensive AI lifecycle management. We also offer talent solutions to rapidly scale AI initiatives by providing skilled AI professionals. We are seeking a highly motivated and skilled Python Developer with expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our team. You will be responsible for designing, developing, and deploying scalable ML models and data pipelines. Your contributions will directly impact our AI-driven products and services, helping us build smarter and more efficient solutions. Key Responsibilities: Develop and maintain robust, scalable, and high-performance Python applications with a focus on AI/ML. Design and implement ML models, algorithms, and data pipelines from prototype to production. Work with large datasets: perform data cleaning, preprocessing, and exploratory data analysis (EDA). Integrate ML models into cloud environments or applications (e.g., REST APIs, microservices). Collaborate with data scientists, product managers, and software engineers to understand business requirements and deliver AI-driven solutions. Optimize model performance and evaluate metrics for accuracy, precision, recall, etc. Keep up-to-date with the latest AI/ML research, tools, and best practices. Required Skills and Qualifications: Proficiency in Python and relevant libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, or Keras. Solid understanding of machine learning algorithms, data structures, and software engineering principles. Experience with model training, evaluation, and deployment in production. Strong background in data preprocessing, feature engineering, and EDA. Experience working with REST APIs, Flask/Django, or FastAPI. Familiarity with cloud platforms (AWS, Azure, or GCP) and deployment tools (Docker, Kubernetes). Good understanding of version control systems (e.g., Git). Strong problem-solving, communication, and collaboration skills. Preferred Qualifications: Master’s or Bachelor’s degree in Computer Science, AI/ML, Data Science, or a related field. Experience with MLOps, model versioning, and experiment tracking tools (e.g., MLflow, DVC). Knowledge of deep learning, NLP, or computer vision frameworks. Familiarity with big data tools (e.g., Spark, Hadoop) is a plus. Why Join Us? Work on cutting-edge AI/ML projects with real-world impact. Collaborative and inclusive team environment. Flexible work hours and remote work options. Continuous learning opportunities and professional growth.
Company Description Akross IT specializes in building, scaling, and deploying end-to-end AI and Machine Learning solutions that help businesses become smarter. We focus on custom AI/ML model development and AI-powered applications tailored to meet unique business needs. Our services include full AI lifecycle management from data collection and preprocessing to model deployment and continuous monitoring. Additionally, we offer talent solutions to scale AI initiatives by leveraging skilled AI engineers, data scientists, and ML specialists. Role Description We are looking for a Senior Machine Learning Engineer with 5+ years of experience in developing and deploying AI/ML-powered applications. This is a full-time hybrid role based in Hyderabad, with some work-from-home flexibility. You will play a key role in building and enhancing our SaaS platform, which will require designing, training, and deploying ML models, as well as developing intelligent AI-driven features. You will collaborate with cross-functional teams to create scalable, production-grade solutions that integrate seamlessly into our FastAPI + Python backend and React-based frontend. Key Responsibilities: Design, develop, and deploy advanced machine learning models and algorithms. Collaborate with product and engineering teams to build AI-powered features for our SaaS platform. Handle the full AI lifecycle — from data acquisition and preprocessing to production deployment and performance monitoring. Optimize and scale ML models for high-performance real-time applications. Continuously research and implement the latest advancements in AI/ML to enhance platform capabilities. Ensure models are robust, explainable, and meet business requirements. Qualifications & Skills: 5+ years of hands-on experience in building and deploying ML/AI applications in production. Strong foundation in Computer Science, Statistics, and Applied Mathematics. Proven expertise in Pattern Recognition, Neural Networks, and Algorithm Development. Proficiency in Python and experience with FastAPI for backend services. Experience integrating ML models with modern frontend frameworks (React preferred). Strong knowledge of model evaluation, optimization, and scaling techniques. Familiarity with cloud-based AI deployments (AWS, Azure, GCP). Excellent problem-solving, analytical, and collaboration skills. Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. Nice to Have: Prior experience developing AI-powered SaaS products. Experience with MLOps tools for CI/CD, model monitoring, and automation. Exposure to real-time inference and large-scale data pipelines.