
Job Title: Operations Intern
Location: Baner, Pune
What You'll Do:
Telecalling Mastery: Sharpen your communication skills as you engage with internal and external stakeholders, promoting our Software Product, and generating leads.
Lead Generation: Utilize your communication expertise to identify and connect with potential clients. You're the bridge to new opportunities.
Collaboration: Work closely with cross-functional teams to ensure smooth operations and execution of strategies.
What We're Looking For:
Excellent Communicator: Your ability to communicate effectively is your superpower.
Eager Learner: A hunger for knowledge and a passion for staying ahead in the IT game.
Team Player: Collaboration is the key to our success.
Initiative-Taker: Proactive problem-solver who seizes opportunities.

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Role & Responsibilities
As a Staff Engineer at Locus, you will play a critical role in defining and driving our backend architecture as we scale globally. You’ll own key systems that handle high volumes of data and transactions, ensuring performance, reliability, and maintainability across distributed environments.
Key Responsibilities-
- Own one or more core applications end-to-end, ensuring reliability, performance, and scalability.
- Lead the design, architecture, and development of complex, distributed systems, frameworks, and libraries aligned with Locus’s technical strategy.
- Drive engineering operational excellence by defining robust roadmaps for system reliability, observability, and performance improvements.
- Analyze and optimize existing systems for latency, throughput, and efficiency, ensuring they perform at scale.
- Collaborate cross-functionally with Product, Data, and Infrastructure teams to translate business requirements into technical deliverables.
- Mentor and guide engineers, fostering a culture of technical excellence, ownership, and continuous learning.
- Establish and uphold coding standards, conduct design and code reviews, and promote best practices across teams.
- Stay ahead of the curve on emerging technologies, frameworks, and patterns to strengthen Locus’s technology foundation.
- Contribute to hiring by identifying and attracting top-tier engineering talent.
Ideal Candidate
- Strong staff engineer profile
- Mandatory (Experience 1): Must have 9+ years in backend engineering with Java, Spring/Spring Boot, and microservices building large and schalable systems
- Mandatory (Experience 2): Must have been SDE-3 / Tech Lead / Lead SE for at least 2.5 years
- Mandatory (Tech skills 1): Strong in DSA, system design, design patterns, and problem-solving
- Mandatory (Tech skills 2): Proven experience building scalable, reliable, high-performance distributed systems
- Mandatory (Tech skills 3): Hands-on with SQL/NoSQL databases, REST/gRPC APIs, concurrency & async processing
- Mandatory (Tech skills 4): Experience in AWS/GCP, CI/CD pipelines, and observability/monitoring
- Mandatory (Communication): Excellent ability to explain complex technical concepts to varied stakeholders
- Mandatory (Company): Product companies (B2B SAAS preferred)
- Mandatory (Stability): Must have stayed for at least 2 years with each of the previous companies
- Mandatory (Education): B.Tech in computer science from Tier 1, Tier 2 colleges
You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.
This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.
What You'll Do
Model Deployment & Optimization
• Lead end-to-end deployments of large language models on AWS infrastructure for strategic
customers
• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI
• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure
configuration
• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,
Inferentia)
Infrastructure Architecture & Performance
• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed
training frameworks
• Implement CUDA-level optimizations and custom kernels for improved model performance
• Design storage and networking architectures optimized for high-throughput ML workloads
• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level
Customer Engagement & Technical Leadership
• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model
requirements and deployment constraints
• Provide technical guidance on model selection, fine-tuning strategies, and production best practices
• Conduct performance benchmarking and cost optimization analysis for ML workloads
• Share field insights with AWS product teams to influence infrastructure and service roadmaps
What We're Looking For
Core Qualifications
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or
PhD preferred)
• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing
• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization
Technical Expertise (High-Level Alignment)
• Hands-on experience training, fine-tuning, or deploying large language models in production
• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques
• Experience with distributed training frameworks and multi-GPU/multi-node orchestration
• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking
Preferred Experience
• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML
platforms
• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,
Inferentia)
• Experience with model compression techniques (quantization, pruning, distillation)
• Knowledge of MLOps practices, model monitoring, and production ML system design
• Background in high-performance computing, distributed systems, or systems programming
Essential Attributes
• Ability to dive deep into technical problems and debug complex infrastructure issues
• Strong analytical skills with data-driven approach to optimization
• Excellent communication skills to explain complex technical concepts to diverse audiences
• Comfortable working in ambiguous, fast-paced environments with evolving requirements
• Ownership mindset with ability to drive projects from architecture to production
Review Criteria
- Strong Dremio / Lakehouse Data Architect profile
- 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
- Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
- Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
- Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
- Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
- Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
- Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
- Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies
Preferred
- Preferred (Nice-to-have) – Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments
Job Specific Criteria
- CV Attachment is mandatory
- How many years of experience you have with Dremio?
- Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
- Are you okay with 3 Days WFO?
- Virtual Interview requires video to be on, are you okay with it?
Role & Responsibilities
You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.
- Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
- Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
- Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
- Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
- Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
- Support self-service analytics by enabling governed data products and semantic layers.
- Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
- Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.
Ideal Candidate
- Bachelor’s or master’s in computer science, Information Systems, or related field.
- 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
- Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
- Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
- Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
- Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
- Excellent problem-solving, documentation, and stakeholder communication skills.
Job Opening: Life Insurance Sales Manager
📍 Location: Telangana & Andhra Pradesh
💰 Salary: ₹20,000 – ₹30,000 + 10% incentives
Requirements:
* Bachelor’s degree
* 2–3 years’ experience in Life Insurance Sales / Channel Partner Management
* Strong knowledge of insurance products & regulations
Responsibilities:
* Recruit, train & manage 5–10 advisors per month
* Drive sales through channel partners & meet targets
* Ensure compliance & advisor performance
We are seeking a skilled PHP Developer with expertise in Laravel and WordPress to join our team. As a PHP Developer, you will be responsible for developing and maintaining web applications using PHP frameworks, primarily Laravel, and working with WordPress for content management system (CMS) projects. You will collaborate with a cross-functional team of designers, developers, and project managers to deliver high-quality, scalable solutions.
Requirements:
Proven experience as a PHP Developer, preferably with Laravel and WordPress.
Strong knowledge of PHP web frameworks, specifically Laravel, and experience with WordPress development.
Proficiency in front-end technologies such as HTML, CSS, JavaScript, and jQuery.
Familiarity with relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Redis).
Experience working with version control systems, such as Git.
Understanding of MVC design patterns and OOP concepts.
Ability to write efficient SQL queries and optimize database performance.
Knowledge of RESTful web services and API development.
Familiarity with front-end frameworks/libraries (Vue.js, React) is a plus.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
- Write clean, scalable code using .NET programming languages
- Develop technical interfaces, specifications, and architecture
- Develop client displays and user interfaces
- Assist software personnel in handling project-related work and other requirements
- Coordinate with other software professionals and developers
- Familiarity with the.NET framework (Like DotNet Core, MVC), SQL Server, and design/architectural patterns.
- 2+ years of development experience using C# .NET
- Knowledge of at least one of the .NET languages (e.g. C#, .NET) and HTML5/CSS3
- Excellent troubleshooting and communication skills
Company Name: - Alphasource Technology Pvt.Ltd
Founded in 2020, We are here to provide the best for all our customers, serving you with the best end to end data & analytics services needed for any kind of software platform. We offer you easy and accessable solutions, we create, consult as well as promote your business. Our team is packed with well experienced technical support and outsourcing developers.
Role- IT Software Architect
Responsibilities
- Collaborating with other professionals to determine functional and non-functional requirements for new software or applications.
- Developing high-level product specifications with attention to system integration and feasibility.
- Communicate successfully all concepts and guidelines to development team and continually researching best practices in coding.
- Ensure software meets all requirements of quality, security, modifiability, extensibility etc.
Requirements
- Proven experience as software architect.
- Experience in software development and coding in various languages (C#, .NET, Java etc.).
- Excellent knowledge of software and application design and architecture.
- Familiarity with HTML/CSS, JavaScript and UI/UX design.
- Understanding of software quality assurance principles.
Qualifications
Bachelor's degree in Computer Science or relevant field
Experience: 5 Years
Work Location: Bangalore
To train them
To manage them
to do sales through team
To achieve sales target
To create distributors, dealers & stockists








