Unity Game Developer

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

Job Title: Team Leader – Operations

Location: Mohali / Karnal

Shift: Morning / Evening / Night

Experience: 3+ Years in KPO / BPO / Service Industry

Languages: English & Punjabi

About the Role:

We are seeking a dynamic and results-driven Team Leader – Operations to join our growing team. The ideal candidate will have prior experience in managing teams in a KPO, BPO, or Service Industry setup, with strong focus on process excellence and performance metrics.

Key Responsibilities:

• Lead, mentor, and motivate a team to achieve operational goals.
• Monitor daily operations to ensure productivity, quality, and SLA adherence.
• Drive performance improvements using data and process-driven insights.
• Conduct team reviews, provide feedback, and create development plans.
• Handle escalations and ensure effective client communication.
• Ensure compliance with organizational policies and operational standards.

Skills & Requirements:

• Minimum 3 years of experience in KPO/BPO/Service industry with team management exposure.
• Strong people management and problem-solving skills.
• Excellent communication in English & Punjabi.
• Proven ability to track and improve performance metrics.
• Flexible to work in rotational shifts (morning, evening, night).

What We Offer:

• Competitive salary with performance-linked growth.
• Exposure to a dynamic work environment.
• Opportunity to lead high-performing teams.

How You'll Contribute:

● Redefine Fintech architecture standards by building easy-to-use, highly scalable,robust, and flexible APIs

● In-depth analysis of the systems/architectures and predict potential future breakdown and proactively bring solution

● Partner with internal stakeholders, to identify potential features implementation on that could cater to our growing business needs

● Drive the team towards writing high-quality codes, tackle abstracts/flaws in system design to attain revved-up API performance, high code reusability and readability.

● Think through the complex Fintech infrastructure and propose an easy-to-deploy modular infrastructure that could adapt and adjust to the specific requirements of the growing client base

● Design and create for scale, optimized memory usage and high throughput performance.​

Skills Required:

● 5+ years of experience in the development of complex distributed systems

● Prior experience in building sustainable, reliable and secure microservice-based scalable architecture using Python Programming Language

● In-depth understanding of Python associated libraries and frameworks

● Strong involvement in managing and maintaining produc Ɵ on-level code with high volume API hits and low-latency APIs

● Strong knowledge of Data Structure, Algorithms, Design Patterns, Multi threading concepts, etc

● Ability to design and implement technical road maps for the system and components

● Bring in new software development practices, design/architecture innovations to make our Tech stack more robust

● Hands-on experience in cloud technologies like AWS/GCP/Azure as well as relational databases like MySQL/PostgreSQL or any NoSQL database like DynamoDB

About Alphanext

Welcome to Alphanext, a leading provider of talent solutions headquartered in London, with operational bases in Pune and Indore. With a strong focus on the global technology community, we are dedicated to connecting exceptional talent with innovative organizations around the world.

The Role

As our new ServiceNow Technical Architect, you'll play a vital role in shaping and executing our ServiceNow platform strategy to drive innovation and ensure seamless service delivery across our global operations.

Key Responsibilities

• Defines, guides, and supports the execution of Alphanext clients' technical governance processes
• Assists in developing standards and practices for maintaining the health of Alphanext clients' ServiceNow platforms
• Supports design and implementation of a platform operating model to achieve Alphanext clients' desired outcomes and foster end-user adoption
• Provides technical evaluation of demands against Alphanext clients' ServiceNow platform architectures, platform capabilities, and best practices
• Guides ServiceNow Platform design, including considerations for integration and performance for Alphanext clients
• Assesses architecture and solution designs to support Alphanext clients' objectives including alignment with ServiceNow implementation best practices
• Offers guidance on prototyping and accelerating time from design to deployment for Alphanext clients
• Provides technical guidance in platform development and platform-wide solutions for Alphanext clients
• Advises on configuration and coding standards for Alphanext clients
• Supports remediation of configurations not aligned to ServiceNow best practices for Alphanext clients
• Assesses instance health (performance, manageability, usability, scalability, upgradability, and security) by conducting ServiceNow HealthScan for Alphanext clients

Experience you should have 

• ServiceNow System Administration Certification (mandatory)
• ServiceNow HR, CSM and ITIL Foundation certification
• Experience in the following ServiceNow modules:
• ITOM – CMDB, Discovery, Service Mapping
• ITBM – Project Portfolio Management, Release Management, Agile
• HRSD (HR Service Delivery) and Finance
• GRC – Governance, Risk, and Compliance
• CSM – Customer Service Management module exp (Mandatory)
• ITSM – Incident Management, Problem Management, Change Management, Knowledge Management, Service Portal, Service Catalog
• Expertise in Client Scripts, UI Policy, UI Scripts, Script Includes, Business Rules, Scheduled Jobs
• Possess good communication skills
• ITIL Foundation Certification would be a plus or can do before joining
• Implementation Specialist certification would be a plus

The Impact You'll Make

• Establish an enterprise-wide technical architecture and implementation strategy setting the foundation for Alphanext customer's enduring ServiceNow success.
• Drive standardization and best practice platform management, enabling customer to focus on value delivery.
• Institute technical governance to optimize platform performance and minimize long-term technical risk.
• Enable rapid upgrades to new features and innovation that drive new value for Alphanext and it's customer. 
• Build a platform team focused on delivering value and innovation.

 Configuration, administration, customization, and maintenance of Okta CIAM environments.

• Design and maintain configuration manuals and documentation required to sustain the Okta CIAM platform.

• Review Okta platform configurations to ensure the solution is optimized and secure for business needs.

• Support and resolve system incidents, problems, and changes.

Requirements

• 3+ years of hands-on experience with designing and building Okta solution platforms.

• At least one Okta certification in last 2 years - Okta Certified Administrator, Certified Consultant or Certified Developer certification

• Strong understanding of Single Sign On and relevant standards (OIDC, OAuth, SAML)

• 1+ year of development experience using RESTful APIs in any programming language

• Strong communication and documentation skills

• Ability to collaborate and interact productively with team members and key stakeholders.

ROLE

Senior Product Analyst

WHY SHOULD YOU JOIN US?

At Vidyakul, you will have the opportunity to impact 60 million state board students’ lives by growing India’s first truly vernacular e-learning platform for 9-12 class state board students.

WHO ARE WE and WHAT IS OUR MISSION?

Vidyakul is a pre-Series A funded EdTech startup based out of Gurgaon, that is truly “democratizing education for the masses”

● Our Investors:

○ We Founder Circle - Backed marquee brands such as BluSmart & Zypp Electric

○ JITO Angel Network - Backed Finance Peer, largest lender of EdTech

○ Dholakia Ventures - Backed by the Diamond King of Surat

● Our Founders:

○ Tarun Saini - 3X founder, 8 years experience in Sales & Marketing

○ Raman Garg - 3X founder, 7 years experience in Ecommerce and Tech

● We are bridging the gap between the villages and quality education at an affordable cost.

● We are growing fast (3X Q-o-Q) and wish for you to be part of this rocketship!

WHAT IS THE ROLE & Responsibilities?

* Hands-on experience of tracking tools like Mixpanel, MoEngage, GA, Firebase. Able to Identify metrics, track and interpret data from different sources to understand the success of product features and iterate accordingly.

* Product Analysis with a problem first, data-driven, test & iterate approach.

* Market research, collecting user feedback and information from other teams to identify priority areas for product development

* Ability to understand user journeys and cull insights from the same

* Assist fellow engineering, design, and business leadership to define our product vision and strategy across your product areas, and deliver tangible business outcomes

SKILLS REQUIRED

* 2-5 years of experience in a similar role involving data analysis and consumer insights

* Ability to analyse data quickly - comfortable with tools like Mixpanel, MoEngage, GA, Firebase

* Strong Analytical and reasoning skills