Director - Digital Products

Hi,

PFB the Job Description for Data Science with ML

Type of hire                  : PWD and Non PWD

Employment Type    : Full Time

Notice Period            : Immediate Joiner

Work Days                    : Mon - Fri

About Ampera:

Ampera Technologies, a purpose driven Digital IT Services with primary focus on supporting our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that equal opportunities are provided to Persons with Disabilities Talent. Ampera Technologies has its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai, India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2) Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and implement evolving Technologies, 4) Comprehensive healthcare, and 5) Conducive environment for Persons with Disability Talent meeting Physical and Digital Accessibility standards

About the Role

We are looking for a skilled Data Scientist with strong Machine Learning experience to design, develop, and deploy data-driven solutions. The role involves working with large datasets, building predictive and ML models, and collaborating with cross-functional teams to translate business problems into analytical solutions.

Key Responsibilities

• Analyze large, structured and unstructured datasets to derive actionable insights.
• Design, build, validate, and deploy Machine Learning models for prediction, classification, recommendation, and optimization.
• Apply statistical analysis, feature engineering, and model evaluation techniques.
• Work closely with business stakeholders to understand requirements and convert them into data science solutions.
• Develop end-to-end ML pipelines including data preprocessing, model training, testing, and deployment.
• Monitor model performance and retrain models as required.
• Document assumptions, methodologies, and results clearly.
• Collaborate with data engineers and software teams to integrate models into production systems.
• Stay updated with the latest advancements in data science and machine learning.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in computer science, Data Science, Statistics, Mathematics, or related fields.
• 5+ years of hands-on experience in Data Science and Machine Learning.
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
• Experience with ML algorithms:
• Regression, Classification, Clustering
• Decision Trees, Random Forest, Gradient Boosting
• SVM, KNN, Naïve Bayes
• Solid understanding of statistics, probability, and linear algebra.
• Experience with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau – preferred).
• Experience working with SQL and relational databases.
• Knowledge of model evaluation metrics and optimization techniques.

Preferred / Good to Have

• Experience with Deep Learning frameworks (TensorFlow, PyTorch, Keras).
• Exposure to NLP, Computer Vision, or Time Series forecasting.
• Experience with big data technologies (Spark, Hadoop).
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Experience with MLOps, CI/CD pipelines, and model deployment.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder interaction skills.
• Ability to work independently and in cross-functional teams.
• Curiosity and willingness to learn new tools and techniques.

Accessibility & Inclusion Statement

We are committed to creating an inclusive environment for all employees, including persons with disabilities. Reasonable accommodations will be provided upon request.

Equal Opportunity Employer (EOE) Statement

Ampera Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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Hiring: Full-Stack Developer (1–3 yrs) — Performance Marketing Tech | Panchkula (Hybrid)

Hey, I run Chevron Media. We're a small, profitable performance marketing team in Panchkula running lead generation campaigns at scale across Facebook, Google, TikTok, and Newsbreak — mostly for the US market.

We're looking for our first tech hire. Whoever takes this role gets to build the foundation. Not maintain someone else's code. Not fix legacy bugs. Build.

Why this is a rare role for someone 1–3 years in :-

Most developers at your stage spend a year doing tickets on a backlog before anyone trusts them with real work. Here, you walk in on day one and start building things the entire company will use the next morning.

You'll work directly with my co-founder and me. No managers in between. No politics. Your code goes live, your decisions matter, and you'll see the business impact within a week — not a quarter.

You'll also learn an industry most developers don't know exists. Performance marketing is one of the few fields where good tech people make outsized money — because every dashboard, automation, and launcher you build multiplies revenue directly. The developers who understand this space well are paid in a different league than typical web devs. You'll get that knowledge here, working hands-on.

What you'll actually build

In order of priority:

• A central dashboard that pulls live data from the Facebook Ads API and RedTrack API. Spend, revenue, profit, CPC, CTR, CPM, ROAS — by campaign, ad, and ad account, with time filters. This is your first project, and it ships in your first 4–6 weeks.
• A bulk launcher built on the Meta Marketing API. Our buyers sometimes launch 20 campaigns with 50 ad sets each. Today it's manual and brutal. You'll make it not.
• Automations and custom rules engines — auto-pause rules, daily reports, creative pipelines, anything we can take off humans. This work never ends. There's always something worth automating.
• Be the tech voice in the room. When we ask, "Can we do X with API Y?" you tell us what's possible. You're not just executing — you're shaping what gets built.

What we're looking for

• 1–3 years of full-stack development experience (personal projects count if they're real)
• Solid in JavaScript/TypeScript, Python, or both
• Comfortable working with REST APIs — bonus if you've ever touched an ad platform API
• Have built and deployed at least one project end-to-end that real people could use
• Can read API documentation and figure things out without hand-holding

Nice to have

• Next.js, React, or Supabase experience
• Worked with Facebook Marketing API or Google Ads API
• Any exposure to performance marketing or affiliate marketing
• Built a dashboard before — even a personal project counts

Location

Hybrid in Panchkula. Some days in office, some days remote — we'll figure out the rhythm together.

Salary

₹60,000 – ₹90,000/month, based on what you've actually built.

How to apply

Send a message with:

• A link to one thing you've built. GitHub, live URL, anything. I care more about what you've shipped than what's on your CV.
• One line on why this role interests you.
• Include the word "launcher" in your message so I know you actually read this.

If you don't have a link to something you've built yet, this role isn't right for you today. Spend a weekend building a small thing, then come back. Said with respect, this role is for people who already build, not people who plan to start.

Looking forward to meeting you.

— Acw, Founder, Chevron Media

Objectives of this role

•Building and implementing new development tools and infrastructure

•Understanding the needs of stakeholders and conveying them to developers

•Working on ways to automate and improve development and release processes

•Testing and examining code written by others and analysing results

•Ensuring that systems are safe and secure against cybersecurity threats

•Identifying technical problems and developing software updates and fixes

•Working with software developers and software engineers to ensure that development follows established processes and works as intended

•Planning projects and being involved in project management decisions

Responsibilities:

• Set up CI/CD pipelines for automated deployment and delivery

•Setup and management of new and Existing cloud-based Kubernetes cluster services

•Write Ad/Hoc Bash/Python scripts to automate certain operational tasks.

•Designing, maintenance and management of tools for automation of different operational processes.

•Provision of critical system security by leveraging best practices and prolific cloud security solutions.

•System troubleshooting and problem resolution across various application domains and platforms

•Support/maintain development, UAT and production infrastructure.

•Providing recommendations for architecture and process improvements.

•Respond to L2 calls and emails.

•Help administer monitoring systems, alerting, log management, and other IT infrastructure systems.

•Perform root cause analysis of production errors and resolve technical issues

•Design procedures for system troubleshooting and maintenance

Technical Skill Requirements:

•Experience in a DevOps role in AWS/OCI cloud environment.

•Must have experience with CI/CD Pipelines and hands-on experience with DevOps tools such as, Jenkins, Git, Docker, Kubernetes, Ansible, etc.

•Strong knowledge in Terraform for multi-stack cloud infrastructure provisioning.

•Strong knowledge in OCI/AWS-based Kubernetes service management.

•Must have experience with Python/Bash as a scripting language.

•Good knowledge in software debugging, web applications and services (Apache, Nginx, HAProxy)

•Must have knowledge in monitoring setup with Prometheus, Alertmanager, Grafana, Thanos, Loki, Fluentbit, etc.

Good To Have Skills

•PostgreSQL, MySQL, MongoDB, Redis, Keycloak.

•Migrating application from one cloud to another; OCI certifications

•Test Driven Development

Soft Skill Requirements:

•Able to learn new skills and technology quickly.

•Energetic with amazing customer service skills and a team-oriented approach.

•Strong verbal and written communication skills

Job Title: BigID Deployment Lead/ SME

Duration: 6+ Months

Exp. Level: 8-12yrs

Job Summary:

We are seeking a highly skilled and experienced BigID Deployment Lead / Subject Matter Expert (SME) to lead the implementation, configuration, and optimization of BigID's data intelligence platform. The ideal candidate will have deep expertise in data discovery, classification, privacy, and governance, and will play a pivotal role in ensuring successful deployment and integration of BigID solutions across enterprise environments.

Key Responsibilities:

Lead end-to-end deployment and configuration of BigID solutions in complex enterprise environments.

Serve as the primary SME for BigID, advising stakeholders on best practices, architecture, and integration strategies.

Collaborate with cross-functional teams including security, compliance, data governance, and IT to align BigID capabilities with business requirements.

Customize and fine-tune BigID policies, connectors, and scanning configurations to meet data privacy and compliance objectives (e.g., GDPR, CCPA, HIPAA).

Conduct workshops, training sessions, and knowledge transfers for internal teams and clients.

Troubleshoot and resolve technical issues related to BigID deployment, performance, and data discovery.

Stay current with BigID product updates, industry trends, and regulatory changes to ensure continuous improvement and compliance.

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Information Technology, Cybersecurity, or a related field.

5+ years of experience in data governance, privacy, or security domains.

2+ years of hands-on experience with BigID platform deployment and configuration.

Strong understanding of data classification, metadata management, and data mapping.

Experience with cloud platforms (AWS, Azure, GCP) and integrating BigID with cloud-native services.

Familiarity with data privacy regulations (GDPR, CCPA, etc.) and risk management frameworks.

Excellent communication, documentation, and stakeholder management skills.

Preferred Qualifications:

BigID certification(s) or formal training.

Experience with scripting (Python, PowerShell) and API integrations.

Background in enterprise data architecture or data security.

• Experience working in Agile/Scrum environments.

• Test current products and identifying deficiencies
• Suggest solutions to identified product problems 
• Investigate product quality in order to make improvements to achieve better customer satisfaction
• Plan, create and manage the overall Quality Planning strategy
• Collaborate with the Product Development team to ensure consistent project execution
• Identify quality assurance process bottleneck and suggest actions for improvement 
• Oversee continuous improvement projects 
• Collect quality data 
• Identify key KPIs for product quality