Machine Learning (ML)
Python
Docker
Git
Amazon Web Services (AWS)Review Criteria:
- Strong MLOps profile
- 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
- 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
- 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
- Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
- Must have hands-on Python for pipeline & automation development
- 4+ years of experience in AWS cloud, with recent companies
- (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth
Preferred:
- Hands-on in Docker deployments for ML workflows on EKS / ECS
- Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
- Experience with CI / CD / CT using GitHub Actions / Jenkins.
- Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
- Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.
Job Specific Criteria:
- CV Attachment is mandatory
- Please provide CTC Breakup (Fixed + Variable)?
- Are you okay for F2F round?
- Have candidate filled the google form?
Role & Responsibilities:
We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.
Key Responsibilities:
- Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
- Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
- Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
- Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
- Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
- Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
- Collaborate with data scientists to productionize notebooks, experiments, and model deployments.
Ideal Candidate:
- 8+ years in MLOps/DevOps with strong ML pipeline experience.
- Strong hands-on experience with AWS:
- Compute/Orchestration: EKS, ECS, EC2, Lambda
- Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
- Workflow: MWAA/Airflow, Step Functions
- Monitoring: CloudWatch, OpenSearch, Grafana
- Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
- Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
- Strong Linux, scripting, and troubleshooting skills.
- Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.
Education:
- Master’s degree in computer science, Machine Learning, Data Engineering, or related field.
Shubham Vishwakarma
Full Stack Developer - Averlon
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We are looking for a director of engineering to lead our engineering department and help us build great products.
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• The Director of Engineering will also perform similar duties as he deems fit for the proper execution of his duties as delegated by the CEO.
Requirements:
• Work experience as a director of engineering, Head of engineering, CTO, EngineeringManager or in a similar senior-level position at an engineering department
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We are looking for someone who has a proven record in SEO performance for
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Can take ownership of the complex project.
C# Strong written communications especially related to articulating technical specifications 4+ years’ experience with Microsoft Dynamics 2016/365 CRM
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Knowledge of the O365 platform as it pertains to feature sets that integrate with Dynamics CRM solutions including SharePoint and OneDrive/OneNote
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What is the role?
As Product Manager for Compass, you will be responsible for the product portfolio, including all product planning and release execution throughout the lifecycle of the product portfolio. This includes defining and prioritizing product roadmap, listening to customers, creating business requirements, driving functional requirements, prioritization, driving this through development, and successfully launching new product features. To read more about the kind of qualities we are looking for in this role, please check this link <https://a16z.com/2012/06/15/good-product-managerbad-product-manager/>;
Key responsibilities
- Strategic planning and managing all stages of Product Life Cycle
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- Planning execution of roadmap & managing end to end product delivery
- Work extensively on feature delivery and tradeoffs of a product
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- Research and understand competitive offerings in your sector
Who will you work with?
You ll report to the head of product development.
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- B2B SaaS experience with multiple Stakeholder management would be preferred
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Challenging opportunity, tough problems and a very good growth path. An excellent opportunity to work with a team of highly talented young professionals. We also offer a whole load of benefits to make your stay enjoyable with Compass?.
We are,
We at Compass strive to make selling fun with our SaaS incentive gamification product. Compass is the #1 gamification software that automates and digitizes Sales Contests and Commission Programs. With game-like elements, rewards, recognitions, and complete access to relevant information, Compass turbocharges an entire salesforce. Compass also empowers Sales Managers with easy-to-publish game templates, leaderboards and analytics to help accelerate performances and sustain growth.
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If you find this role exciting and want to join us at Bangalore, India, then apply by clicking below. Provide your details and upload your resume. All received resumes will be screened, shortlisted candidates will be requested to join for a discussion and on mutual alignment and agreement, we will proceed with hiring.
Hi,
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We are currently hiring Sales Head/ Business Development Head for our tele communication entity IP Momentum.
The primary purpose of the VOIP Sales Head is to head the team, and drive the sales by proactively prospect and sell VoIP services to potential customers.
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Only professionals with experience in VOIP Sales targeting Call Centers and Corporate and Enterprises will be processed Able to verbally communicate clearly, persuasively and professionally in order to achieve the desired/expected sales and customer satisfaction goals Able to professionally and concisely communicate and write in English Candidate must possess knowledge, skills and experience in telephone sales
About us -
Company: Lincode Labs
Responsibilities:
Establish and maintain a deep understanding of the overall product portfolio and the competitive landscape. Lead technical discovery and prepare/deliver technical presentations explaining our products to prospects and customers. Create and deliver powerful presentations and demos to clients that clearly communicate the uniqueness of the value proposition. Successfully manage and execute technical proof of concepts (POCs), on-site or remote. Responsible for representing the product to customers and at field events such as conferences, seminars, etc. Evangelize Lincode products to prospects, customers, and partners via presentations and product demos. Convey feature input and customer requirements to Product Management teams. Partnering with sales executives to plan, prepare and execute on strategic deals in complex sales cycles. Collaborate with sales teams to understand customer requirements and provide sales support. Respond to technical objections and articulate the value and return on investment delivered. Liaise with the Engineering, Product, Marketing, and Sales teams to provide consultative technical expertise for all customer needs. Effectively communicate & build confidence with customers across teams (Engineering, Product, Marketing, and Sales). Engage in and oversee the development of customer proposals, design and delivery, ensuring all expertise, information and recommendations are concisely defined
Requirements:
2-3 years Sales Engineering experience. Worked previously with Machine Learning/ Computer Vision Companies- preferred Min qualification- Graduates Knowledge about installing Industrial cameras Excellent presentation, written and verbal communication skills to communicate professionally. Self motivated with strong interpersonal and problem-solving skills. Ability to work well in a highly dynamic team.
JavaPython
C++The programmer should be proficient in python and should be able to work totally independently. Should also have skill to work with databases and have strong capability to understand how to fetch data from various sources, organise the data and identify useful information through efficient code.
Familiarity with Python
Some examples of work:
Amazon Web Services (AWS)Your skills and experience should cover:
-
5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).
-
Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.
-
5+ years of experience using one or more modern programming languages (Python, Node.js).
-
Hands-on experience migrating data to the AWS cloud platform
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Experience with Scrum/Agile methodology.
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Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)
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Experience with AWS Data Storage Tools.
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Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.
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Experience working with GIT, or similar tools.
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Ability to communicate and represent AWS Recommendations and Standards.
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Experience with Docker
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Experience with PostgreSQL database
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon