Data Science

🚀 Job Title : Python AI/ML Engineer

💼 Experience : 3+ Years

📍 Location : Gurgaon (Work from Office, 5 Days/Week)

📅 Notice Period : Immediate

Summary :

We are looking for a Python AI/ML Engineer with strong experience in developing and deploying machine learning models on Microsoft Azure.

🔧 Responsibilities :

• Build and deploy ML models using Azure ML.
• Develop scalable Python applications with cloud-first design.
• Create data pipelines using Azure Data Factory, Blob Storage & Databricks.
• Optimize performance, fix bugs, and ensure system reliability.
• Collaborate with cross-functional teams to deliver intelligent features.

✅ Requirements :

• 3+ Years of software development experience.
• Strong Python skills; experience with scikit-learn, pandas, NumPy.
• Solid knowledge of SQL and relational databases.
• Hands-on with Azure ML, Data Factory, Blob Storage.
• Familiarity with Git, REST APIs, Docker.

Key Responsibilities

Develop and maintain scalable applications using MongoDB, MySQL/PostgreSQL, Node.js, Express.js, React.js, and TypeScript.

Design, develop, and optimize RESTful APIs and GraphQL services.

Lead and mentor a team of developers, ensuring best coding practices, performance, and security.

Collaborate with UI/UX designers, product managers, and DevOps teams to streamline development.

Contribute to AI-powered application development (if experienced in AI/ML).

Required Skills & Qualifications

✅ 2.5+ years of experience in MERN stack development.

✅ Expertise in React.js, TypeScript, Node.js, and Express.js.

✅ Strong database management skills with MongoDB, MySQL, or PostgreSQL.

✅ Proven experience in leading development teams and conducting code reviews.

✅ Excellent problem-solving and communication skills.

✅ Bonus: Experience in AI/ML-based applications is a plus.

Why Join Us?

🚀 Exciting Projects – Work on AI-driven and scalable web solutions.

🤝 Leadership Opportunity – Lead and mentor a talented team of developers.

💰 Competitive Compensation – ₹40K - ₹60K per month.

🏡 Dynamic Work Environment – Collaborative, innovation-driven workplace.

Job Title: Data Engineer

Job Summary: As a Data Engineer, you will be responsible for designing, building, and maintaining the infrastructure and tools necessary for data collection, storage, processing, and analysis. You will work closely with data scientists and analysts to ensure that data is available, accessible, and in a format that can be easily consumed for business insights.

Responsibilities:

• Design, build, and maintain data pipelines to collect, store, and process data from various sources.
• Create and manage data warehousing and data lake solutions.
• Develop and maintain data processing and data integration tools.
• Collaborate with data scientists and analysts to design and implement data models and algorithms for data analysis.
• Optimize and scale existing data infrastructure to ensure it meets the needs of the business.
• Ensure data quality and integrity across all data sources.
• Develop and implement best practices for data governance, security, and privacy.
• Monitor data pipeline performance / Errors and troubleshoot issues as needed.
• Stay up-to-date with emerging data technologies and best practices.

Requirements:

Bachelor's degree in Computer Science, Information Systems, or a related field.

Experience with ETL tools like Matillion,SSIS,Informatica

Experience with SQL and relational databases such as SQL server, MySQL, PostgreSQL, or Oracle.

Experience in writing complex SQL queries

Strong programming skills in languages such as Python, Java, or Scala.

Experience with data modeling, data warehousing, and data integration.

Strong problem-solving skills and ability to work independently.

Excellent communication and collaboration skills.

Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

Familiarity with data warehouse/Data lake technologies like Snowflake or Databricks

Familiarity with cloud computing platforms such as AWS, Azure, or GCP.

Familiarity with Reporting tools

Teamwork/ growth contribution

• Helping the team in taking the Interviews and identifying right candidates
• Adhering to timelines
• Intime status communication and upfront communication of any risks
• Tech, train, share knowledge with peers.
• Good Communication skills
• Proven abilities to take initiative and be innovative
• Analytical mind with a problem-solving aptitude

Good to have :

Master's degree in Computer Science, Information Systems, or a related field.

Experience with NoSQL databases such as MongoDB or Cassandra.

Familiarity with data visualization and business intelligence tools such as Tableau or Power BI.

Knowledge of machine learning and statistical modeling techniques.

If you are passionate about data and want to work with a dynamic team of data scientists and analysts, we encourage you to apply for this position.

ESPORTS PROJECT MANAGER

Tesseract Esports is seeking a talented, enthusiastic and highly organized Esports Project Manager to join our team. As a successful hire for this role, you should be a strong communicator, have a passion for planning and organizing and enjoy working inside a flexible team-oriented environment. You should be well versed in project management styles, methodologies and processes. Tenacity, self-direction and follow-up skills are a must as well as the ability to anticipate issues and find effective solutions.

As a Esports Project Manager, you will lead and take part in developing, implementing, executing and reporting on different esports initiatives and projects. You will work closely with internal cross functional teams like league operations, production, creative, marketing as well as external partners, clients and vendors to ensure success of all our projects and programs.

About Tesseract Esports

Tesseract Esports was founded in 2015 with an intent to elevate and transform the nascent gaming scene in South and Southeast Asia into a high profile and professional esport. We played a pioneering role by being the first to launch and introduce mobile esports in the region. We were also among the first to produce the biggest and most successful esports events and gaming activations in India at an unprecedented scale, paving the way for the growth of esports in the country.

We have since gone to partner with game publishers, developers, brands and media platforms to produce large scale esports events and engagements and become one of the leading esports production houses in the Asia-Pacific. We have worked with Qualcomm, MPL, Tencent Games, Razer, Garena, Acer and several other partners on many successful live and online esports activations. We are a growing team of highly skilled and passionate individuals focused on delivering the best competitive experiences. We are headquartered at our state of the art production studio in Hyderabad, India which also happens to be the largest esports facility in South Asia.

Responsibilities & Duties

• Define project objectives, schedules, resource requirements, budget, and deliverables for different projects and programs in support of business goals.
• Lead and execute all tactical project management aspects of different esports programs and projects to expand our brand and viewership goals.
• Be responsible for creation and distribution of complete project plans, related documentation, and reporting requirements to all project stakeholders, internal teams and client personnel.
• Deliver and develop status frequency, and deliver progress reports, proposals, and requirements documentation, along with risks, contingency plans, and roadblocks to project stakeholders and leadership.
• Manage project expectations, timelines, milestones and deliverables.
• Conduct post mortems and create recommendation reports based on detailed project analysis.
• Provide regular insights and updates on the regional market development and eco-system, team/player sentiment, business opportunities and other relevant key data
• Develop best practices and tools for project execution and management.
• Act as key contact between internal departments and regional teams for successful execution of the project and meeting all deliverable timelines.
• Act as the primary contact for day to day information and updates for partners and client personnel.
• Control, coordinate and follow-up on recurrent tasks, assignments and deliverables of various internal departments working on the project.
• Track and analyze measurable criteria and KPIs to evaluate progress towards project objectives and develop business review and improvement reports.
• Assist different departmental leads to execute all program/project operations and marketing efforts (supervising and ensuring projects are moving forward in accordance with plans).

Qualifications (Required)

• Bachelor’s degree or relevant experience (project management, business management, event management marketing, sports industries, marketing, communications).
• 2 + years of relevant working experience in esports, gaming, entertainment or traditional sports programs.
• Have a deep comprehension of the various components that make up an esports program and be conversationally adept in them including broadcast production, player and team management, brand management, event management, content development, competitive structure and rulesets.
• Experience in organizing esports and/or digital content planning, productions and broadcast/distribution to drive viewership.
• Strong project management skills with ability to drive planning, schedules, budgeting, resource management, collaboration and status reporting.
• Passionate about gaming and esports, having a strong understanding of both gaming and cultural nuances in South and Southeast Asia.
• Knowledge of different project management methodologies like Waterfall, Agile, Scrum etc.
• Strong written, verbal and interpersonal communication skills.
• Proven ability to create, organize, prioritize, and execute tasks in a high-pressure environment.
• Demonstrate ability to keep a project team focused and on track in a fast-paced environment.
• Developed documentation skills showcasing ability to organize information in a clear and concise manner for varying audiences.
• A strategic thinker with the ability to conceptualize broadly across various solutions, yet enjoys operating at a hands-on level.
• Excellent presentation skills. Ability to articulate a vision, strategy or idea clearly with a strong capacity of syntax, learning and sharing with senior leadership.
• Strong influencing skills and ability to communicate effectively with different internal departments, teams and clients.

Qualifications (Preferred)

• Experience working as a project manager in the esports industry.
• Regional experience working across different countries/markets across South Asia, Southeast Asia and The Middle-East. Also preferred is market sensitivity, cultural curiosity and understanding differences in localization etc.
• Demonstrable track record of defining strategies in esports, entertainment or traditional sports industries.

• Source, interview, and select applicants for various positions.
• Sound knowledge on Sourcing Candidates thru REDEX, Monster & various Job Sites.
• Foster long-term relationships with candidates and clients
• Sourcing from different job boards. Excellent knowledge in Boolean function & usage of various job board databases.
• Draft job descriptions, push them through all talent acquisition channels, and coordinate candidate sourcing with the same.
• Doing junior to middle-level hiring for all IT verticals.
• Review applicants to verify if position requirements are met.
• Format resumes meeting client expectations.
• Telephonic Screening of the profiles checking for Technical Fitment, Behavioural Fitment, Stability, etc.
• Utilize your innovative and effective convincing and negotiation skills to impress and attract top talent.
• Follow up with candidates and clients and maintain records of progress.

Roles & Responsibilities:.

• Good knowledge and experience in IT hiring ( Sharepoint, Web developers, Web designers, HADOOP, Software Trainers, Server Admins, Software Engineers, Application Developers, etc.)
• Ability to build strong relationships.
• Self-confidence and self-starter.
• Excellent written and oral (phone) communication skills a MUST.
• Good sense of humor.
• Skills/Qualifications: Telephone Skills, Recruiting, Interviewing Skills, People Skills, Supports Diversity, Professionalism, Organization, Judgment.

Expereince : 2-4 yrs experience

• Experience in woocommerce customization
• Experience in theme and plugin customization
• Knowledge of Jquery & Javascript is an added advantage.
• Hands on experience with any E-commerce website will be an advantage

Mosaic is looking for a Senior Executive in Ecommerce. 

Managing efforts across all marketplaces. Revenue numbers across these channels would be your primary KPI. You would also be expected to oversee and manage the operational aspects. 

Responsibilities 

• Define, develop and constantly optimize digital solutions to meet the goals and KPIs by developing and A/B Testing campaign strategies, landing pages & pricing strategies 
• Maintain the online listing sheet for the brand and make updates as products are added,prices are changed etc.
• Audit all online listings on a weekly basis and ensure that changes are made if there areany errors.
• Develop strong relationships with various Ecommerce Portals representatives to help drive sales 
• Keep collecting data for platforms e.g. top selling products, competitor performance,advertising mechanisms etc.
• As the Ecommerce Specialist you will own our objective to ensure our products and assets are created and deployed perfectly across retailer websites such as Amazon, Ocado, Tesco and our products featured on our own Beauty and Personal Care brand websites.
• Coordinate with the Logistics team to ensure proper supply at different warehouses
•  Work with the Design team to help develop best in class advertising creatives

Requirements 

• Lots of drive and comfortable with A/B testing multiple approaches to get the end result 
• Expected to work as an individual contributor 
• Strong interpersonal skills to work with cross functional teams 
• Ability to work under deadlines and manage multiple projects at once & thrive in an unstructured environment 
• Ability to cater product pitch to the specific target audience, and getting the best communication out to drive sales.

High Level Scope of Work :

• Work with AI / Analytics team to priorities MACHINE LEARNING Identified USE CASES for Development and Rollout
• Meet and understand current retail / Marketing Requirements and how AI/ML solution will address and automate the decision process.
• Develop AI/ML Programs using DATAIKU Solution & Python or open source tech with focus to deliver high Quality and accurate ML prediction Model
• Gather additional and external data sources to support the AI/ML Model as desired .
• Support the ML Model and FINE TUNEit to ensure high accuracy all the time.
• Example of use cases (Customer Segmentation , Product Recommendation, Price Optimization, Retail Customer Personalization Offers, Next Best Location for Business Est, CCTV Computer Vision, NLP and Voice Recognition Solutions)

Required technology expertise :

• Deep Knowledge & Understanding on MACHINE LEARNING ALGORITHMS (Supervised / Unsupervised Learning / Deep Learning Models)
• Hands on EXP for at least 5+ years with PYTHON and R STATISTICS PROGRAMMING Languages
• Strong Database Development knowledge using SQL and PL/SQL
• Must have EXP using Commercial Data Science Solution particularly DATAIKU and (Altryx, SAS, Azure ML, Google ML, Oracle ML is a plus)
• Strong hands on EXP with BIG DATA Solution Architecture and Optimization for AI/ML Workload.
• Data Analytics and BI Tools Hand on EXP particularly (Oracle OBIEE and Power BI)
• Have implemented and Developed at least 3 successful AI/ML Projects with tangible Business Outcomes In retail Focused Industry
• Have at least 5+ Years EXP in Retail Industry and Customer Focus Business.
• Ability to communicate with Business Owner & stakeholders to understand their current issues and provide MACHINE LEARNING Solution accordingly.

Qualifications

• Bachelor Degree or Master Degree in Data Science, Artificial Intelligent, Computer Science
• Certified as DATA SCIENTIST or MACHINE LEARNING Expert.