Google Ads Expert

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. 

Name of the College: KGiSL Institute of Technology

College Profile: The main objective of KGiSL Institute of Technology is to

provide industry embedded education and to mold the students for leadership in

industry, government, and educational institutions; to advance the knowledge

base of the engineering professions; and to influence the future directions of

engineering education and practice. The ability to connect to the future

challenges and deliver industry-ready human resources is a credibility that

KGISL Educational Institutions have progressively excelled at. Industry -

readiness of its students is what will eventually elevate an institution to star

status and its competitiveness in the job market. Choice of such an institution

will depend on its proximity to industry, the relevance of its learning

programme to real-time industry and the active connect that a student will have

with industry professionals.

Job Title: Associate Professor

Departments:

● CSE

Qualification: 

● ME/M.Tech & Ph.D

Experience:

● Experience - 10-15 Years

Candidate Profile:

● Candidate should complete their PG & Ph.D in the relevant discipline

● Candidate should have Good Communication Skills

● Commitment towards work

About the role:

We’re seeking a qualified Sales Manager to sell Whitehat Jr’s product that our customers have grown to rely on. The Sales Manager will utilise their skills to generate high quality leads, build a strong relationship with customers and close deals. The ideal candidate will be a quick learner with strong negotiating skills, and demonstrate the ability to showcase our offerings in a compelling way.

Role details:

Scope: Exceed targets for New Sales, Referrals or Renewals, in an individual contributor role

Work Location: Remote online work until offices reopen, candidate may be based anywhere in India

Working days: 6 working days with 1 day-off which may be during week

Shifts (subject to change): shift start hour will be after 6 AM and shift end hour before 12 midnight (For day shifts), shift start hour will be after 7 PM and shift end hour before 10 AM (For night shift)

Mandatory Language Fluency: English, Hindi

Laptop/Wi-fi: candidates to use their own laptops, wi-fi will be reimbursed

Qualifications:

• Proven B2C Sales track record of exceeding targets, >2 years of Sales experience
• Fluency in English and Hindi, ability and willingness to deliver in a high pressure environment
• Excellent communication, interpersonal, problem-solving, presentation, and organisational skills.
• Ability to counsel a parent for the child's future
• Comfortable with changing shift timings so that we may serve our customers better
• Graduation is not mandatory for candidates with 3+ years of experience
• Working knowledge of Salesforce, spreadsheets (Excel, Google Sheets ) and powerpoint

Role: Sales Manager/DGM:

• Working closely with the founders for new corporate partnerships

• Responsible for new business prospecting and account planning across mid-market and enterprise clients

• Responsible for generating qualified meetings and pipeline, leveraging one’s own network as well as other tools for lead generation

• Engaging, building and maintaining key contact and stakeholder relationships with clients

• Nurturing prospective clients through the sales journey, and converting to clients

• Cross-collaboration with marketing and client operations team on lead generation activities

• Achieving monthly and quarterly sales targets. Defining the KPIs for the junior sales managers and

• Brand ambassador for Jify by sharing your passion and knowledge with customers, contacts and prospect

Successful applicants:

• 3 to 8yrs experience in acquiring and/or farming mid/enterprise corporate customers

• Prior experience in hunting and converting enterprise scale business is a must; Preference for experience

in technology sales to CHROs and/or to C-suite

UPCRED powers AI-Recommendation on Social Content Creators, helping them discover content monetization and helping Brands/Businesses explore Influencer Marketing.

The company’s advert platform is powered by artificial intelligence, which is used by businesses for Influencer Discovery, Campaign Management, and Campaign Analytics through UPCRED Pixel Management.

Our technology visions to have one-third of the world's social consumers discover new things through recommendation feeds from their favourite social media creator and which connects advertisers to these audiences to grow their business.

UPCRED Social has long-term partnerships with a variety of digital content creators and has the vision to democratize the social earning for content creators in India.

UPCRED Advert wants to be an all-in-one influencer marketing platform designed to help businesses own their influencer relationships.

Proven work experience as an HR Recruiter or similar role.
Familiarity with Applicant Tracking Systems and resume databases.
Experience with sourcing techniques.
Understanding of referral programs.
Solid verbal and written communication skills.
Sound judgment.

• 3 years Willing to take efforts to advance in the technology or learn new technologies.
• Solid understanding of OOPs concepts.
• Willing to take efforts to advance in the technology or learn new technologies.
• Good communication skills and a continuous learner.
• Experience working on waterfall or Agile (Agile model preferred)
• Solid understanding of Python scripting and/or frameworks like Django, Flask Back up RRS.