
Job Description:
1. Machine Learning Development & Deployment
· Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross sell/upsell opportunity identification.
· Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.
· Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.
2. Cross-Functional ML Use Cases
· Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases.
· Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3.
3. Model Governance and MLOps
· Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.
· Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure).
4. Data Engineering and Feature Architecture
· Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.
· Perform feature selection, transformation, and engineering aligned with each domain’s business logic. 5. Communication & Stakeholder Collaboration
· Present technical insights and model results to business and executive stakeholders in a clear, actionable format.
· Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.
Qualifications:
Required
• Bachelor’s or Master’s degree in (e.g., Computer Science, Engineering, Statistics, Mathematics)
• 4+ years of experience in machine learning, data science.
• Proficiency in Python, XGBoost, PyTorch, TensorFlow, or similar.
• Experience deploying models into production using ML pipelines and orchestration frameworks.
• Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI).
• Hands-on experience in implementing machine learning algorithms such as Random Forest, XGBoost, Logistic Regression, and Deep Learning techniques including Neural Networks (ANN, CNN)
Preferred:
• Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.
• Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store).
• Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce).
• Background in statistics, forecasting, optimization, or recommendation systems.

About Ampera Technologies
About
At Ampera Technologies, we empower businesses with cutting-edge data analytics, quality assurance, and data engineering solutions
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Sales Manager – Position would be based out of Bommasandra Bangalore. Position Is open to both male and female candidates.
Roles & Responsibilities:
Core Responsibilities
Strategic Planning: Develop and execute integrated sales and marketing
plans for EMC Products, Resistors, Heating elements and other products in
company product line-up to meet defined revenue targets in the Northern Region
Lead Generation & Prospecting: Independently source new business opportunities. Rapport and handling existing accounts and servicing them.
Campaign Management: Design, implement, and monitor marketing
campaigns as and when required.
Client Relationship Management: Maintain a portfolio of existing accounts, ensuring high customer satisfaction and identifying opportunities for upselling
or cross-selling of all products under VIBCOM
Market Intelligence: Conduct regular competitor analysis and research market
trends to adjust pricing strategies and product positioning.
Sales Presentations: Deliver persuasive, tailored product demonstrations and proposals to high-ticket decision-makers (CEOs, CFOs, etc.).
Market penetration skills / Market analysis to see where we stand against our competitors
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defence equipment manufacturing companies to pitch our products for their
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Education: Bachelor’s degree in Engineer (Electrical, Electronics,
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MUST-HAVES:
- Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
- Notice period - 0 to 15 days only
- Hybrid work mode- 3 days office, 2 days at home
SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS
ADDITIONAL GUIDELINES:
- Interview process: - 2 Technical round + 1 Client round
- 3 days in office, Hybrid model.
CORE RESPONSIBILITIES:
- The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
- Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
- Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
- Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
- System Integration: Integrate models into existing systems and workflows.
- Model Deployment: Deploy models to production environments and monitor performance.
- Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
- Continuous Improvement: Identify areas for improvement in model performance and systems.
SKILLS:
- Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
- Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (like BigTable), OpenSearch, Neo4J graph
- Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
- Knowledge of model monitoring and performance evaluation.
REQUIRED EXPERIENCE:
- Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sage maker pipeline with ability to analyze gaps and recommend/implement improvements
- AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
- AWS data: Redshift, Glue
- Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)
Job Summary:
We are seeking a dynamic and highly skilled Full Stack Developer with 3-5 years of experience to join our client's team. The ideal candidate will be working with a leading MNC client in the health insurance domain. This role is based in Gurugram and requires candidates to work from the office, Monday to Friday. You will play an integral role in developing and enhancing applications using Node.js, TypeScript, PostgreSQL, and MongoDB.
Responsibilities:
- Design, develop, and maintain scalable applications using Node.js and TypeScript.
- Build and optimize RESTful APIs and backend services.
- Collaborate with cross-functional teams to deliver high-quality products and services.
- Work with PostgreSQL and MongoDB databases for efficient data management and retrieval.
- Ensure the performance, quality, and responsiveness of applications.
- Troubleshoot, debug, and upgrade existing systems and platforms.
- Implement best practices for security, code quality, and performance optimization.
- Participate in code reviews and provide mentorship to junior developers.
Requirements:
- Experience: 3-5 years of hands-on development experience with Node.js, TypeScript, PostgreSQL, and MongoDB.
- Technical Skills:
- Proficiency in Node.js and TypeScript for building scalable web applications.
- Strong experience working with PostgreSQL and MongoDB databases.
- Hands-on experience in building RESTful APIs and microservices architecture.
- Knowledge of best practices in application development, security, and performance tuning.
- Familiarity with version control tools like Git.
- Preferred:
- Experience in the health insurance or fintech domain.
- Ability to work in an agile environment with fast-paced deliverables.
- Excellent communication and collaboration skills.
Soft Skills:
- Strong problem-solving skills and ability to troubleshoot complex issues.
- Ability to work in a team and independently when required.
- Adaptability and willingness to learn new technologies.
Job Title: AWS DevOps Engineer (MLOps)
We are looking for a highly skilled AWS + MLOps Engineer to design, build, and maintain scalable machine learning infrastructure and pipelines on AWS. The ideal candidate will have strong expertise in DevOps practices, cloud architecture, and MLOps frameworks, along with solid Python programming skills.
Job Description:
We are looking for an experienced AWS DevOps Engineer to join our team. You will be responsible for building and optimising CI/CD pipelines, managing AWS infrastructure, and automating tasks using AWS services.
Key Responsibilities:
- CI/CD Pipelines: Develop CI/CD pipelines with AWS CodePipeline, build ECR images, and update services on ECS.
- Automation: Create Python Lambda functions for automation and AWS Batch jobs for GPU processing.
- Infrastructure Management: Manage AWS infrastructure using Terraform (IAM roles, RDS, Lambda, etc.) and deploy microservices on EKS with ALB Ingress.
- Data Processing: Work with AWS Step Functions and EMR for data workflows; troubleshoot Spark jobs.
- Microservices: Deploy ATLAS on ECS, and create AWS Glue crawlers for data integration.
- Strong Experience with MLOps is an added advantage.
Required Skills:
- Experience with AWS services (ECS, ECR, Lambda, Step Functions, EMR, Glue, etc.).
- Proficient in CI/CD, Terraform, and Python scripting.
- Experience deploying EKS clusters and using AWS ALB for routing.
- Strong troubleshooting skills with EMR and Spark.
- Understanding/experience with AWS EMR, Sagemaker and Databricks would be added advantage
Preferred:
- AWS Certification (DevOps, Solutions Architect, etc.).
- Experience with microservices and GPU-intensive processes.
Account Manager (Customer Success) — Account Audits & Customer Advocacy
Location: Remote
Hours: Full-time, EST 9:00am–5:00pm
Reports to: Customer Success Leadership
Role summary
We’re hiring an Account Manager to review and audit customer account usage, create clear health and usage reports, troubleshoot customer issues, and serve as an internal customer advocate. You’ll collaborate closely with customers over Zoom and work cross-functionally with Senior CSMs, Product Owners, and the Dev team to drive fast, high-quality resolutions and improve retention.
What you’ll do
- Audit customer accounts regularly (usage, adoption, configuration, workflow integrity, outcomes)
- Build and deliver account health/usage reports with insights, risks, and recommended next steps
- Troubleshoot issues (process + platform) and drive resolution by coordinating with Product/Dev/Support
- Run customer calls over Zoom to clarify problems, set expectations, and guide solutions
- Proactively identify churn risk signals (low usage, stalled adoption, repeated issues, sentiment) and create action plans
- Act as a customer advocate internally—communicate pain points, themes, and improvement opportunities
- Track follow-ups and outcomes to ensure issues are closed and customers feel supported
What we’re looking for
- 2+ years in Customer Success / Account Management / Technical Support / Implementation (B2B SaaS preferred)
- Strong analytical mindset: comfortable reviewing usage patterns, drawing conclusions, and creating reports
- Confident communicator on Zoom with the ability to explain solutions clearly and calmly
- Skilled at cross-team coordination and escalation with Product/Engineering
- Organized and reliable: you follow through and keep customers informed
- Comfort troubleshooting software workflows (bonus if you’ve worked with CRM, LOS, or fintech tools)
Nice to have
- Experience with churn-risk management, customer health scoring, or renewals
- Familiarity with ticketing systems (HubSpot/Zendesk) and task tools (ClickUp/Jira)
- Basic technical comfort (APIs, logs, browser troubleshooting) even if not a developer
Success looks like
- Faster resolution times and fewer repeat issues
- Improved product adoption and customer sentiment
- Reduced churn risk via proactive interventions and clear action plans
How to apply
Send your resume and a short note describing:
- A time you diagnosed a customer issue using data/usage signals
- How you coordinated with Product/Dev to resolve it
- Your availability to work EST 9–5
Job Description
We are looking for motivated IT professionals with at least one year of industry experience. The ideal candidate should have hands-on experience in AWS, Azure, AI, or Cloud technologies, or should be enthusiastic and ready to upskill and shift to new and emerging technologies. This role is primarily remote; however, candidates may be required to visit the office occasionally for meetings or project needs.
Key Requirements
- Minimum 1 year of experience in the IT industry
- Exposure to AWS / Azure / AI / Cloud platforms (any one or more)
- Willingness to learn and adapt to new technologies
- Strong problem-solving and communication skills
- Ability to work independently in a remote setup
- Must have a proper work-from-home environment (laptop, stable internet, quiet workspace)
Education Qualification
- B.Tech / BE / MCA / M.Sc (IT) / equivalent
WHAT YOU WILL DO:
- Handle the entire US recruitment process from understanding the requirement, sourcing, screening, rate negotiation and submission of profiles.
- Understand US employment terms, W2, W2 without benefits, C2C, 1099, Corp to Corp, etc.
- Must have prior experience in hiring US Citizens, Permanent Residents, and H1-B professionals in the US.
- Proficient at successful sourcing of candidates via Internet sources using BOOLEAN Search Strings and online resume database.
- Submitting quality candidates to our US talent acquisition team with a quick turnaround time to meet sharp deadlines for each requisition.
- Responsible for achieving the hiring needs.
- Build and maintain an ongoing pipeline of potential candidates by identifying prospects through Job Portals, LinkedIn, Research, Referrals, and other creative ways to fill the candidate pipeline.
- Good understanding of both domain-based and technology-based recruiting.
REQUIRED SKILLS & QUALIFICATIONS:
- Proven work experience in US IT Recruitment.
- Work extensively with Recruitment Tools - Monster, CareerBuilder, Dice, Job Diva, LinkedIn & Indeed.com.
- Hands-on experience with full-cycle recruiting using various interview techniques and evaluation methods.
- Excellent verbal and written communication skills.
- A keen understanding of the differences between various roles within organizations.
PREFERRED SKILLS & QUALIFICATIONS:
- Minimum 4 years of experience in the IT industry.
- Proven work experience in US IT Recruitment.
LOCATION: Remote (Pan India) & In-Office-Jaipur, India
SHIFT TIMINGS:
- 5:00 pm to 2:00 am IST
- 6:00 pm to 3:00 am IST (during daylight saving)
Thanks and Regards
Nikita
Sr.HR Executive

We are looking for a Front end web developer passionate towards building high performance web
applications which can scale for B2C businesses. We are looking for self-driven individuals who love to
find innovative solutions and can perform under pressure. An eye for details and being proud of produced
code are the must have attributes for this job.
Responsibilities.
● You will be responsible for converting Product team requirements to modular, testable and
efficient code.
● You will be required to design and implement data storage solutions (Databases, caching layers
etc).
● You will also be required to cater to NFRs related to security and performance.
Skills
● 3+ years experience in JavaScript and clarity of core Javascript language basics.
● Excellence in React JS/AngularJS.
● Excellent in HTML5 and CSS3.
● Hands on experience of UI Libraries like jQuery.
● Hands on experience with code versioning systems like Git, SVN.
● Hands on Excellent debugging and problem solving skills.
● Experience with Responsive/Mobile Design.
● This person is excited about creating pixel perfect, reusable, extensible, flexible, high-performing
front-end experiences that integrate seamlessly with back-end code.
● The ability to adapt to the ever-changing technology landscape.
● You are excited about keeping up-to-date by experimenting with new technologies and
frameworks.
Years of Exp: 4-8 yrs
Qualification:
● Engineering graduates from Tier I or II institutes.
● B.E/ B.Tech/ ME/ M.Tech








