Machine Learning (ML)
Data Science
Python- We are looking for an experienced data engineer to join our team.
- The preprocessing involves ETL tasks, using pyspark, AWS Glue, staging data in parquet formats on S3, and Athena
To succeed in this data engineering position, you should care about well-documented, testable code and data integrity. We have devops who can help with AWS permissions.
We would like to build up a consistent data lake with staged, ready-to-use data, and to build up various scripts that will serve as blueprints for various additional data ingestion and transforms.
If you enjoy setting up something which many others will rely on, and have the relevant ETL expertise, we’d like to work with you.
Responsibilities
- Analyze and organize raw data
- Build data pipelines
- Prepare data for predictive modeling
- Explore ways to enhance data quality and reliability
- Potentially, collaborate with data scientists to support various experiments
Requirements
- Previous experience as a data engineer with the above technologies
Shubham Vishwakarma
Full Stack Developer - Averlon
About GitHub
About
We are interested in researching and taking in live a variety of quantitative strategies based on historic and live market data, alternative datasets, social media data (both audio and video) and stock fundamental data.
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Machine Learning (ML)🌍 We’re Hiring: AI Success & Solutions (Lead / Manager / Director) | Remote | Full-time
Are you passionate about bridging AI technology with real business impact?
Do you enjoy working customer-facing, driving solution delivery, and ensuring measurable outcomes?
We’re looking for specialists in AI Success & Solutions to lead end-to-end delivery of enterprise AI projects. This role blends Solutions Architecture with Customer Success, partnering with clients to turn AI capabilities into tangible business value.
What You’ll Do:
🔹 Partner with Sales & Data Science to understand client challenges and define success criteria
🔹 Design solution architecture and data pipelines tailored to each use case
🔹 Own post-sale execution: manage projects, facilitate deployment, and track measurable outcomes
🔹 Ensure operational excellence with documentation, version control, and team coordination
🔹 Identify growth opportunities and act as a trusted strategic advisor to clients
What We’re Looking For:
✔️ 6+ years in hybrid technical + customer-facing roles (Solutions Architect, Customer Success, Engagement Manager)
✔️ Experience with applied Data Science, ML, GenAI (LLM prompting, RAG)
✔️ Proven ability to deliver AI or data-driven solutions in consulting or startup environments
✔️ Excellent storytelling and business value articulation for technical and executive audiences
✔️ Strong project management, ownership, and attention to detail
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✨ Why Join Us:
- Drive measurable impact for Fortune 500 customers worldwide
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- Work with a high-performance, cross-functional team
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- Structured Query Language (SQL), e.g. SQL/PSM, Transact-SQL queries, writes SQL scripts in SQL Server 2000/2005/ 2012/ 2016, etc.
- 1+ years in Cloud Database services like AWS Dynamo DB / RDS
- Excellent Troubleshooting skills of existing functional implementation to derive leaner solutions and effective performance between applications software, systems software, and installed hardware.
- Database instance maintenance tasks such as DB Integrity Checks, Index Maintenance.
- High availability like clustering, log shipping, mirroring, replication.
- Backup and disaster recovery, Capacity planning and performance monitoring, Physical database structure, RDMS administration roles, instances, profiles, and security connectivity.
- Developing, implementing, maintaining, and following change control and testing processes for modifications to databases.
- Establishing backup and recovery or replication plans to minimize data loss and system downtime.
- Improving data quality through data analysis, monitoring, gap analyses, and working with the teams to provide solutions and resolve errors.
- Maintaining data integrity and security (manage roles and permissions of database users).
- Reviewing the security logs from the SQL Server Error Logs to determine if you had a breach or a violation in one of your policies.
- Ensures optimal database performance and availability.
· Creation & maintenance of Databases in AWS.
Data ScienceMachine Learning (ML)Job Description
Responsibilities:
- Collaborate with stakeholders to understand business objectives and requirements for AI/ML projects.
- Conduct research and stay up-to-date with the latest AI/ML algorithms, techniques, and frameworks.
- Design and develop machine learning models, algorithms, and data pipelines.
- Collect, preprocess, and clean large datasets to ensure data quality and reliability.
- Train, evaluate, and optimize machine learning models using appropriate evaluation metrics.
- Implement and deploy AI/ML models into production environments.
- Monitor model performance and propose enhancements or updates as needed.
- Collaborate with software engineers to integrate AI/ML capabilities into existing software systems.
- Perform data analysis and visualization to derive actionable insights.
- Stay informed about emerging trends and advancements in the field of AI/ML and apply them to improve existing solutions.
Strong experience in Apache pyspark is must
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience of 3-5 years as an AI/ML Engineer or a similar role.
- Strong knowledge of machine learning algorithms, deep learning frameworks, and data science concepts.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with popular AI/ML libraries and frameworks, such as TensorFlow, Keras, PyTorch, or scikit-learn.
- Familiarity with cloud platforms, such as AWS, Azure, or GCP, and their AI/ML services.
- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
- Experience in deploying and scaling machine learning models in production environments.
- Strong problem-solving skills and ability to work on multiple projects simultaneously.
- Excellent communication and teamwork skills.
Preferred Skills:
- Experience with natural language processing (NLP) techniques and tools.
- Familiarity with big data technologies, such as Hadoop, Spark, or Hive.
- Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
- Understanding of DevOps practices for AI/ML model deployment
-Apache ,Pyspark
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Developing unique and attractive content to promote our products/services
Writing, reviewing and editing creative copy
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ONLY FEMALE CANDIDATE PREFRRED
NIGHT SHIFT
FIXED SALARY PLUE INCENTIVES
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Overview Atom Technologies began its operations in 2005, with the sole aim of providing secured and seamless digital payment solutions to all. Throughout the years, Atom has been successfully developing innovative and award-winning digital payment solutions, catering to the needs of Small and Medium Merchants alike. This encompasses services like POS, Payment Gateway, IVR and Mobile Application. Roles and Responsibilities · Displaying sound knowledge of software engineering process, you will work on Payment domain projects · You will participate in AGILE teams. · You should have ability to work as an individual contributor. · You will need to use capability of customer focus and collaboration skills · Using good analytical, debugging and tracing skills, you should be well-versed with clean code principles (SOLID, DRY, KISS) and exposure to secure coding is beneficial.
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Responsible for selling software and hardware products.
Progress qualified opportunities to quotation and close sales
Order fulfilment, Payment follow up
Customer relationship management
Required Candidate profile
Good English communication requiredSix months IT Industry experience is compulsory
MBA graduate fresher can also apply
- Minimum 3-4 years of experience with ETL tools, SQL, SSAS & SSIS
- Good understanding of Data Governance, including Master Data Management (MDM) and Data Quality tools and processes
- Knowledge of programming languages eg. JASON, Python, R
- Hands on experience of SQL database design
- Experience working with REST API
- Influencing and supporting project delivery through involvement in project/sprint planning and QA
- Working experience with Azure
- Stakeholder management
- Good communication skills
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Full Stack Developer - Averlon