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Mediaocean is the mission-critical platform for omnichannel advertising. With more than $200 billion in annualized media spend managed through its software, Mediaocean connects brands, agencies, media, technology, and data. Using AI and machine learning technology to control marketing investments and optimize business outcomes, Mediaocean powers campaigns from planning, buying, ad serving, and creative personalization to analysis, optimization, invoices, and payments. Mediaocean employs 1,500 staff across 30 global offices and supports over 100,000 people using its products.  

Mediaocean was recently named #1 ad tech company in AdAge Best Places to Work. Visit www.mediaocean.com to learn more, or check us out on LinkedIn, Glassdoor, Facebook, or Twitter. 

What You Will Do

• Develop, maintain and unit test Java application and services.
• Solve complex business and technical problems by following standard development practices
• Participate in agile activities like sprint planning, and technical design reviews; provide input as appropriate.
• Implement best practices that produce maintainable code, including usability patterns, code style conformity, integration, testing, and code review.
• Collaborate with global Engineering, Product and Release teams, as necessary.

• 0-2 years of experience in working as a Java backend developer using Java, Spring and ORM framework (e.g.: Hibernate)
• Strong technical expertise in Java 8, Kafka,SQLS, REST and relational database (e.g.: Oracle)
• Strong in OOP and SOLID design principles
• Preferred hands on experience with BI tool Sisense and datawarehouse knowledge
• Well versed with SCRUM / Agile delivery methodology
• Strong interpersonal, written and oral communication skills.
• Self-motivated, requiring minimum oversight.

• Mediclaim Policy (Total Coverage: 7 Lakhs/year). Term Life and Accidental Insurance
• Inclusive workplace environment.
• Professional development opportunities within our Learning & Development programs
• Health Benefits – Health Check-ups, Fitness Activities.
• Belong@Mediaocean affinity based groups of colleagues to create community
• All of these benefits/perks are effective on the date of hire

We would hate to miss out on your application because you do not meet every requirement – transferrable skills and education will also be considered, so please do not hesitate to apply! 

Mediaocean recognizes our true strength and value shine when all our team members feel there is space in the conversation for their voices, thoughts, ideas, perspectives, and concerns. Mediaocean is committed to being an equal opportunity employer, and we consider all applicants regardless of their age, race, color, gender, sexual orientation, ethnicity, religion, national origin, disability, or veteran status. 

If you're an existing Mediaocean employee and would like to submit a referral, click here.

About Us

Mindtickle provides a comprehensive, data-driven solution for sales readiness and enablement that fuels revenue growth and brand value for dozens of Fortune 500 and Global 2000 companies and hundreds of the world’s most recognized companies across technology, life sciences, financial services, manufacturing, and service sectors.

With purpose-built applications, proven methodologies, and best practices designed to drive effective sales onboarding and ongoing readiness, mindtickle enables company leaders and sellers to continually assess, diagnose and develop the knowledge, skills, and behaviors required to engage customers and drive growth effectively. We are funded by great investors, like – Softbank, Canaan partners, NEA, Accel Partners, and others.

Job Brief

You should have a distinguished track record in research and development, supported by significant publications, patents, or academic achievements in the field of data science, machine learning, and/or artificial intelligence. Additionally, you should have a proven ability to translate business challenges into research problems and identify opportunities for technological innovation.

Responsibilities:

• You will be responsible for understanding business problems, translating them into technical problems while keeping business objectives and our mission in mind, and finding solutions using any tools at your disposal, including but not limited to data mining, natural language processing (NLP), speech processing, computer vision, and generative AI.
• You will be expected to stay up-to-date with technological advances in the areas of data science, machine learning, and artificial intelligence, and keep the Mindtickle team informed about new possibilities and better solutions enabled by these advancements.
• You will lead the end-to-end production-level coding process involving data science and machine learning algorithms, unit and integration testing, deployment, and optimization. This includes the refinement of models on various platforms, including cloud, desktop, mobile, or edge.
• As a lifelong learner, you will be expected to consistently enhance your skill set, contribute novel articles to journals and conference proceedings, and/or file patents. You will also participate in evangelism activities and contribute to the development of the AI ecosystem.

• As a staff engineer, your role extends beyond technical prowess. You will be expected to share your knowledge with colleagues, partners, and customers, conduct sessions on AI topics, mentor junior engineers, and foster a culture of continuous learning within the team. You will also participate in workshops, conferences, and seminars/webinars as a speaker, instructor, demonstrator, or jury member.

• You will design and develop high-volume, low-latency applications for mission-critical systems, ensuring high availability and performance.
• You will work closely with the product teams to incorporate best practices and utilize world-class tech stacks.
• You will be responsible for setting up tracking/alerting systems to ensure the reliability and performance of the infrastructure/software built.
• Your role will include sourcing, cleaning, and analyzing data, and setting up efficient storage and retrieval pipelines.

• You should possess exceptional communication skills, including written, verbal, and presentation abilities.
• A collaborative attitude is essential; you must be a strong team player.
• Your problem-solving skills should be robust and structured.
• Flexibility is key; you must be agile enough to learn new technologies when required.

• A B.Tech / BS / BE / M Tech / MS / ME in CS or equivalent from Tier I / II or Top Tier Engineering College and University.
• 8+ years of solid software (application or infrastructure) development experience and refined software engineering skills (Python, R, C, C++ / Java / Scala / Golang).
• Deep expertise and hands-on knowledge of operating systems, MySQL and NoSQL databases (Redis/couchbase/mongodb/ES or any graphDB).
• Comprehensive understanding of Machine Learning Algorithms, Linear Algebra, and Statistics.
• Working knowledge of Amazon Web Services (AWS).
• Experience with Docker and Kubernetes is highly desirable.
• In-depth experience with Natural Language Processing, Recommendation Systems, or Search Engines.
• Prior experience in leading and mentoring a team of junior engineers is a must.

Our Culture

As an organization, it’s our priority to create a highly engaging and rewarding workplace. We offer tons of awesome perks, great learning opportunities & growth.

Our culture reflects the globally diverse backgrounds of our employees along with our commitment to our customers, each other, and a passion for excellence.

To know more about us, feel free to go through these videos:

1. Sales Readiness Explained: https://www.youtube.com/watch?v=XyMJj9AlNww&t=6s

2. What We Do: https://www.youtube.com/watch?v=jv3Q2XgnkBY

3. Ready to Close More Deals, Faster: https://www.youtube.com/watch?v=nB0exreVU-s

To view more videos, please access the below-mentioned link:

https://www.youtube.com/c/mindtickle/videos

Mindtickle is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.

Your Right to Work - In compliance with applicable laws, all persons hired will be required to verify identity and eligibility to work in the respective work locations and to complete the required employment eligibility verification document form upon hire.

AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen’s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. To learn more, visit us at www.appzen.com.

We are looking for a ML/Deep Learning Engineer/Sr. Engineer to come and work on our growing AI stack. If you are excited about Machine Learning/Deep Learning, NLP, Computer vision, Model Deployment Pipeline, then AppZen is the right place for you to use and grow your skills.

Must-Have:

• Building Deep Learning based NLP/Document AI models - transformers, reinforcement learning
• Ability to build LLMs and graph ML is a plus
• Solid understanding of machine learning fundamentals and familiar with standard algorithms and techniques
• Expert in object oriented Python
• Experience with TensorFlow/Keras and/or Pytorch, Scikit Learn, Matplotlib, NLTK or other associated packages
• Follow through data quality in all stages of ML pipeline from data exploration to production
• Self-starter and ability to manage and own projects
• M.Sc. or M.E. or M.Tech  in Computer Science, Engineering, Statistics, or other relevant technical field
• Understanding of ML Ops tools and utilities like Docker, Kubernetes, Microservices, Jenkins etc
• Knowledge of AWS ecosystem is a plus
• Must have 3-5+ years of industry experience

We are equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need.

Wednesday is a global technology consultancy. We integrate technology strategy, engineering, and design to drive digital product innovation.

At our core, we are a group of makers - AI, ML, data & cloud engineers, application developers, product & projects managers, and designers. We care deeply about our work and think of it as a craft. We're an ambitious team and like to punch above our weight.

As an AI Lead, you will use modern data architecture, algorithms, and processes to help our customers meet key business objectives. In this role, you may create, review, and optimize algorithms and processes for our customers in the 0-1 and 1-n journey.

Core Responsibilities

• Architect: Choose the right tools, frameworks, and cloud services to meet business goals.
• Educate: Advise & educate customers on how to use different data engineering, AI/ML algorithms, strategies, and processes from the many options available.
• Build: Build a data pipeline that process, store, integrate and analyze large volumes of data in record time. Create visualizations and insights from the data in order to make informed and data-backed business decisions. Build or leverage AI/ML algorithms to solve business problems.
• Communicate: Proactively communicate with your team. Raise blockers, brainstorm solutions, and seek early feedback.
• Review: Participate in peer reviews to ensure quality deliverables.
• Tests & Automation: Write test suites and build automated CI & CD pipelines to deliver more releases and reduce manual effort. Created automated mechanisms to evaluate models with changing variable conditions
• Learn: Learn from the practices followed by other teams and evangelize your learnings.
• Showcase: Share your learnings on internal and customer projects via articles, case studies, books, and webinars.

• Experience with two or more Python frameworks or tools such as scikit-learn, TensorFlow, PyTorch, Keras, NLTK/SpaCy, or Hugging Face Transformers is required.
• Experience with MLOps using tools like MLFlow, Comet ML, Weights & Biases, or other equivalents.
• Real-world experience deploying, optimizing models, and measuring performance and ROI of these AI endeavors.
• Experience in Python or R.
• Resilience and flexibility in ambiguous situations.
• Ability to coach others if the need arises.