Engineering Manager

Key Responsibilities:

·         Ability to create quality network & exposure in the local market.

·         Acquisition and managing of new as well as existing financial advisors / distributors from the market.

·         Should be AMFI Passed/or need to pass during 6 months after joining.

·         Ability to build good relationships with advisors.

·         Ability to lead the team of advisors

·         Ability to train and develop advisors for business.

·         Should have zeal to learn and then guide other advisors for different financial products.

·         Should be interested in seeing themselves as a team (Advisor) managing a profile from day 

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

We're looking for candidates with experience with IT services sales only for this role. The candidate will be responsible for generating IT (Information Technology) sales and business, developing relationships with new clients, making sales visits and presentations, maintaining advanced knowledge of services, and establishing and meeting sales goals. The official designation would be Customer Success Executive.

Job Responsibilities

• Assist the sales team in lead generation and prospecting by using various online and offline tools and methods like cold calling, emails, events etc.
• Identify potential clients and establish relationships to understand their needs and requirements.
• Schedule appointments and demos for the sales team with qualified prospects.
• Provide excellent customer service by responding promptly to inquiries and concerns.
• Collaborate with other departments, such as marketing and customer service, to ensure customer satisfaction and retention.
• Liaise with technical team and marketing team for product marketing
• Achieve annual and quarterly order and revenue targets
• Suggest upgrades and services that may be of interest to clients.
• Negotiate with clients to secure the most attractive prices.
• Develop sales presentations, proposals, and contracts.
• Review clients' feedback and implement necessary changes.
• Remain in tune with trends in consumption to ensure that our offerings remain relevant.

Mandatory Skills:

• 2 years of Experience in IT Service Sales.
• MBA in marketing, business administration, or similar.
• Strong written and verbal communication skills.
• Excellent customer service and interpersonal skills.
• Ability to work independently and as part of a team.
• Should be good with decision-making and problem-solving skills
• Strong organizational and time-management skills.
• Ability to generate revenue by identifying pain points and suggesting suitable services.
• Great networking skills.

Benefits:

• Fantastic company culture.
• No politics. Just pure work and play!
• Very approachable and helpful seniors and peers.
• Get a chance to shape your career in one of the fastest-growing and dynamic spaces.
• Lots of creative freedom!
• Lots of fun at the workplace.
• Frequent fun activities to make work even more enjoyable :)

Company Description

Gencosys Technologies Pvt. Ltd. is a leading Information Technology company with a strong presence and customer base in South Asia, Middle East and Africa, Asia Pacific, Kingdom of Saudi Arabia, and North America. We provide comprehensive IT support and solutions to businesses in various industries.

Role Description

This is a full-time on-site role for a Search Engine Optimization Specialist at our Lucknow location. The Specialist will be responsible for conducting keyword research, performing SEO audits, building links, analyzing web analytics, and implementing on-page SEO techniques to improve website rankings and visibility.

Qualifications

• Keyword Research and SEO Audits
• Link Building and Web Analytics
• On-Page SEO
• Experience in optimizing websites for search engines
• Understanding of SEO best practices and industry trends
• Proficiency in web analytics tools and SEO software
• Familiarity with HTML, CSS, and JavaScript
• Excellent analytical and problem-solving skills
• Strong communication and collaboration abilities
• Bachelor's degree in Marketing, Computer Science, or related field

Job Description:

 Contact Center – Process Associate

Contact Center Agent Job Responsibilities:

• Managing a team that obtains client information by answering telephone calls; interviewing clients; verifying information.
• Determines eligibility by comparing client information to requirements.
• Informs clients by explaining procedures; answering questions; providing information.
• Maintains communication equipment by reporting problems.
• Maintains and improves team quality results by adhering to standards and guidelines, recommending improved procedures.
• Updates job knowledge by studying new product descriptions; participating in educational opportunities.
• Accomplishes team and service delivery mission by completing related results as needed.
• Team performance reporting and management

Work Hours:

• Should be flexible

Location: Kolkata

Qualifications / Skills:

• Verbal communication
• Phone skills & Listening
• Reporting & Data entry skills
• Informing
• Customer focus
• Customer service
• Attention to detail
• Professionalism
• Multi-tasking

Band: A3

Education, Experience

• University/college degree is an asset
• Previous customer service experience of 1 years to 2 years, especially in Voice process.

Position – A4 (Senior Associate) – Multiple Positions

Experience – 3 to 5 Years

Skillset – Helpdesk, Contact Center, Inbound Calls, Outbound Calls, Call Center, ETC.

Salary Range – Max 3.25 LPA

Location – Kolkata

Notice Period – Immediate or Max 30 days

SPOC – Arnab Sarkar

Job Description:

  Contact Center – Senior Associate

Contact Center Agent Job Responsibilities:

• Managing a team that obtains client information by answering telephone calls; interviewing clients; verifying information.
• Determines eligibility by comparing client information to requirements.
• Informs clients by explaining procedures; answering questions; providing information.
• Maintains communication equipment by reporting problems.
• Maintains and improves team quality results by adhering to standards and guidelines; recommending improved procedures.
• Updates job knowledge by studying new product descriptions; participating in educational opportunities.
• Accomplishes team and service delivery mission by completing related results as needed.
• Team performance reporting and management

Work Hours:

• Should be flexible

Location: Kolkata

Qualifications / Skills:

• Verbal communication
• Phone skills & Listening
• Reporting & Data entry skills
• Informing
• Customer focus
• Customer service
• Attention to detail
• Professionalism
• Multi-tasking

Band: A4

Education, Experience

• University/college degree is an asset
• Previous customer service experience of 3 years to 5 years, especially in Voice process.

Title: Data Engineer (Azure) (Location: Gurgaon/Hyderabad)

Salary: Competitive as per Industry Standard

We are expanding our Data Engineering Team and hiring passionate professionals with extensive

knowledge and experience in building and managing large enterprise data and analytics platforms. We

are looking for creative individuals with strong programming skills, who can understand complex

business and architectural problems and develop solutions. The individual will work closely with the rest

of our data engineering and data science team in implementing and managing Scalable Smart Data

Lakes, Data Ingestion Platforms, Machine Learning and NLP based Analytics Platforms, Hyper-Scale

Processing Clusters, Data Mining and Search Engines.

What You’ll Need:

• 3+ years of industry experience in creating and managing end-to-end Data Solutions, Optimal

Data Processing Pipelines and Architecture dealing with large volume, big data sets of varied

data types.

• Proficiency in Python, Linux and shell scripting.
• Strong knowledge of working with PySpark dataframes, Pandas dataframes for writing efficient pre-processing and other data manipulation tasks.
  ● Strong experience in developing the infrastructure required for data ingestion, optimal

extraction, transformation, and loading of data from a wide variety of data sources using tools like Azure Data Factory,  Azure Databricks (or Jupyter notebooks/ Google Colab) (or other similiar tools).

• Working knowledge of github or other version control tools.
• Experience with creating Restful web services and API platforms.
• Work with data science and infrastructure team members to implement practical machine

learning solutions and pipelines in production.

• Experience with cloud providers like Azure/AWS/GCP.
• Experience with SQL and NoSQL databases. MySQL/ Azure Cosmosdb / Hbase/MongoDB/ Elasticsearch etc.
• Experience with stream-processing systems: Spark-Streaming, Kafka etc and working experience with event driven architectures.
• Strong analytic skills related to working with unstructured datasets.

Good to have (to filter or prioritize candidates)

• Experience with testing libraries such as pytest for writing unit-tests for the developed code.
• Knowledge of Machine Learning algorithms and libraries would be good to have,

implementation experience would be an added advantage.

• Knowledge and experience of Datalake, Dockers and Kubernetes would be good to have.
• Knowledge of Azure functions , Elastic search etc will be good to have.

• Having experience with model versioning (mlflow) and data versioning will be beneficial
• Having experience with microservices libraries or with python libraries such as flask for hosting ml services and models would be great.

• Previous experience leading outsourced engineering teams required
• Previous experience working with US leadership team, US customers and US-based vendors and service providers
• Understanding of full-stack .NET is a must
• Experience with Angular front-end frameworks and tools
• Experience with database systems and data modeling (RDBMS, SQL, NoSQL)
• Experience with designing and building integrations using REST and SOAP web services.
• Experience with test-driven development.

• Experience with micro-service architecture, Docker, and Azure preferred 
• Experience with Machine Learning modeling, training and algorithm development preferred 
• Experience with data labeling to be used for machine learning purposes 
• SOC 1/2/3 and other attestation engagements 
• Cybersecurity Risk and Gap Assessments 
• Knowledge of vulnerability assessment and penetration testing technologies, as well as incident response, host and network forensic technologies 

• 12+ years of industry experience 
• 7+ years in Software Development 
• Experience with Vendor Management, Stakeholder management 
• Experience managing distributed team (Off-shore/on-shore model) 
• Excellent Delivery management skills 
• Excellent communication and problem-solving skills 

Seeking candidates with an exceptional knowledge of Online bidder. Candidates should have an extensive and ongoing experience of working with  portals like UPWORK and bringing up the projects for the company.

Expert Level Skills Required In:

• Thorough proficiency in Upwork
• Excellent written and verbal English communication skill is a must.
• Good knowledge of IT Services and experience in Sales and Marketing is a must.
• Should possess good interpersonal skills for Account Handling and Relationship Building.
• Should be proactive and should have excellent convincing skills.
• Dealing with international client