11+ DFA Jobs in India

Skill Sets:

·         Familiarity with commercial ad serving platforms such as OpenX, DFP, DFA etc.

·         Excellent presentation and storytelling skills with PowerPoint.

·         Experience with Excel/Pivot tables.

·         Excellent diagnostic skills.

·         Technical acumen to understand how to design campaigns that optimize the use of our tech platform.

·         Superior time management and multi-tasking skills.

·         Willingness to do whatever it takes to get the job done.

Job Location - Verse Innovation, Helios Business Park, 11th Floor, Wing E, Outer Ring Rd, Kadubeesanahalli, Bengaluru, Karnataka 560103

Responsibilities:

• Develop and maintain cross-platform applications using .NET MAUI.
• Convert UI/UX designs into responsive and pixel-perfect layouts using XAML.
• Implement new features, resolve bugs, and optimize application performance across Android, iOS, Windows, and macOS.
• Integrate iOS and Android native libraries and handle native library interop.
• Utilize at least 1 year of experience in native Android and iOS development (Kotlin/Java, Swift/Objective-C).
• Integrate applications with RESTful APIs, third-party services, authentication mechanisms, and local storage solutions such as SQLite.
• Apply strong knowledge of MVVM architecture, design patterns, and SOLID principles to ensure clean, maintainable, and scalable code.
• Collaborate closely with product managers, UI/UX designers, QA teams, and backend developers to deliver high-quality releases.
• Uphold code quality through code reviews, unit testing, and adherence to engineering best practices.
• Participate actively in sprint planning, technical discussions, and architectural decision-making.
• Prepare and maintain project documentation, technical specifications, workflows, and implementation guides.
• Mentor junior developers and provide technical leadership and guidance.

Job Title : Senior Network Engineer (L2 Support)

Experience : 8+ Years

Location : Pune / Remote

Employment Type : Contract (12+ Months)

Mandatory Skills :

Cisco Routing & Switching, Cisco ACI, Nexus, F5 Load Balancer, Infoblox DNS/DHCP, FortiGate Firewall (Cisco ASA preferred), Zscaler/Bluecoat Proxy, BGP, OSPF, EIGRP, ITIL, ServiceNow.

Job Summary :

We are looking for an experienced Senior Network Engineer (L2) to provide operational support for enterprise network infrastructure in a 24x7 global environment. The ideal candidate will be responsible for incident management, network change implementation, troubleshooting, and ensuring the availability and performance of LAN, WAN, and Data Center networks.

Key Responsibilities :

• Provide L2 support for enterprise network infrastructure, including LAN, WAN, and Data Center environments.
• Troubleshoot and resolve network incidents related to routing, switching, firewalls, load balancing, DNS/DHCP, and proxy technologies.
• Execute approved network changes while adhering to ITIL change management processes.
• Collaborate with L1, L3, vendors, and cross-functional teams to ensure timely incident resolution.
• Monitor network health and contribute to service improvements, automation, and operational efficiency.
• Maintain documentation and support major incident and problem management activities.

Required Skills :

• Strong expertise in Cisco Routing & Switching (BGP, OSPF, EIGRP, VLANs, HSRP/VRRP).
• Hands-on experience with Cisco ACI, Nexus, Catalyst, ASR/CSR platforms.
• Experience with F5 Load Balancers (LTM/GTM).
• Knowledge of Infoblox DNS/DHCP administration.
• Experience with FortiGate Firewalls (Cisco ASA preferred).
• Exposure to Zscaler or Bluecoat Proxy solutions.
• Familiarity with network troubleshooting tools such as Wireshark, tcpdump, traceroute, nslookup, and dig.
• Experience with monitoring and automation tools like Spectrum, NetBrain, Observe, or Ansible.
• Good understanding of ITIL processes and ServiceNow.

Preferred :

• Experience working in BFSI environments.
• Exposure to global 24x7 support operations.
• Strong communication, analytical, and stakeholder management skills.

Service Engineer

No of Opening 3

Job Location: Ahmedabad

Responsibilities for Service Engineer

·        Customer Complaint Resolution.

·        Solving the technical problems of the customers by calls, video call or remote diagnosis (team viewer).

·        Establishing programs/seminar in the areas allocated for promotion of car scanner.

·        Register the diagnosis tool and generate the ID PWs Diagnostic Tools & Equipments.

·        Responsible for Trouble shooting of various faults arising. For example trouble shooting of AUDI, BMW, MAHINDRA, MERCEDECES etc.

·        Provide technical training to our customers, engineers and co-ordinates.

·        To visit field (workshop) for new diagnosis tool update and create report of the same.

·        Preparing and submitting service and customer feedback reports (Daily report).

·        Generate revenue from aftersales.

·        Handling overall sales and aftersales equipment warranty claims.

 Qualifications for Service Engineer

·        Must be equivalent Degree or Diploma in Automobile.

·        Must be fluent in English and Hindi.

·        Additional language will be an advantage.

·        Minimum of 2 to 3 years of experience in Automobile workshop.

·        Knowledge of Excel and Power point presentation.

Salary & Perks:

·        Salary 25000 to 35000 Per month plus insurance plus incentive

·        Insurance facilities.

·        Petrol allowances.

Age for Service engineer

24 years to 30 years

About Zest Network LLP

At Zest Network LLP, we run a portfolio of content-based online businesses where we take serious efforts to educate and inform our readers on various subjects.

*About the job*

Requirements: We are looking for an individual (1+ years experience) who is familiar with current SEO techniques and tools and has excellent analytical skills. If you have worked on any affiliate website or SaaS firm and have a strong understanding of SEO (both on-page and off-page), we have the right role for you for the long term!

*Key Responsibilities*

1. On-site content optimization (best practice for E-E-A-T, internal linking, titles, content audit & updating old content, CRO, Content gap analysis, Making Topical Maps, why not ranking analysis? etc.)

2. Site maintenance (redirects, broken links, site cleanup, duplicate content, etc.)

3. Strategize, plan, and coordinate link-building activities: Create link building content ideas, angles, and pitches & pitch and conduct SaaS link-building outreach

4. Monitor Google algorithm changes & implement on-site and content changes to adapt to the changing landscape

5. Identify new SEO growth opportunities with technical audits, data/traffic analysis, and competitive research.

6. Digital PR research

We expect you to manage your time and responsibilities with minimal oversight. We aren't interested in babysitting you that’s why we need a proactive person. We're interested in fostering your success and the success of the team.

*Who can apply*

1. Candidates having experience working with SaaS firms will be given a preference

2. Aware of all the nuances of Technical and On-Page SEO techniques including data analysis using Google Analytics and Search console

3. Knowledge of using Google Analytics, Google Webmaster Tools, Ahrefs (or similar backlink tools), crawling tools (Screaming Frog, DeepCrawl), Google Search Console, keyword tools (Google, WordTracker, Keyword Discovery, Semrush, buzzsumo, Moz), etc.

4. Strong sense of ownership, the inclination for action, urgency, and drive

5. 1-2 years of SEO experience

6. Holistic SEO Knowledge (technical, on-page, content, link building, digital PR)

7. Candidates having experience working with SaaS firms will be given preference

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

• Strong knowledge of MERN stack (MongoDB, Express JS, React JS, Node JS, HTML5, CSS3, jQuery, Bootstrap, SASS)
• You will also need to interact with mysql databases.
• Develop user interfaces for modern rich internet applications with the latest front-end technologies
• Should have knowledge of of consuming and creating APIs
• Developing features to enhance the user experience.
• Should have excellent in-depth knowledge of Nodejs and MongoDB
• Hands-on experience working with Object-Oriented JavaScript (OOJS), JavaScript libraries, and their practical uses in building complex interactive experiences
• Building reusable code for future use

• Experience in Java Programming with Selenium and Mobile Application (Appium).
• Experience in designing developing data quality automation and executing test plans.
• Experience in CI/CD and developing Test Automation Tools for Data Quality Assessment.
• Familiar with standard Quality Assurance and development tools.