Customer Support Associate (night Shift)-Male Candidates

Qualification: B.Sc computer science/IT or BCA AND M.Sc computer Science/IT or MCA

Experience: Freshers (preferred candidates residing in and around coimbatore - no hostel facility)

Thavathiru Santhalinga Adigalar Arts, Science & Tamil College (TSA Tamil College) is a renowned institution located in Perur, Coimbatore, Tamil Nadu.Established in 1953 by the historic Perur Aadheenam, the college was founded with the mission to promote Tamil language, culture, and holistic education among rural youth

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets.

Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Role

We seek experienced ML/AI professionals with strong backgrounds in computer science, software engineering, or related elds to join our Azure-focused MLOps team. If you’re passionate about deploying complex machine learning models in real-world settings, bridging the gap between research and production, and working on high-impact projects, this role is for you.

Work you’ll do

As an operations engineer, you’ll oversee the entire ML lifecycle on Azure—spanning initial proofs-of-concept to large-scale production deployments. You’ll build and maintain automated training, validation, and deployment pipelines using Azure DevOps, Azure ML, and related services, ensuring models are continuously monitored, optimized for performance, and cost-eective. By integrating MLOps practices such as MLow and CI/CD, you’ll drive rapid iteration and experimentation. In close collaboration with senior ML engineers, data scientists, and domain experts, you’ll deliver robust, production-grade ML solutions that directly impact business outcomes. 

Responsibilities

• ML-focused DevOps: Set up robust CI/CD pipelines with a strong emphasis on model versioning, automated testing, and advanced deployment strategies on Azure.
• Monitoring & Maintenance: Track and optimize the performance of deployed models through live metrics, alerts, and iterative improvements.
• Automation: Eliminate repetitive tasks around data preparation, model retraining, and inference by leveraging scripting and infrastructure as code (e.g., Terraform, ARM templates).
• Security & Reliability: Implement best practices for securing ML workows on Azure, including identity/access management, container security, and data encryption.
• Collaboration: Work closely with the data science teams to ensure model performance is within agreed SLAs, both for training and inference.

Skills & Requirements

• 2+ years of hands-on programming experience with Python (PySpark or Scala optional).
• Solid knowledge of Azure cloud services (Azure ML, Azure DevOps, ACI/AKS).
• Practical experience with DevOps concepts: CI/CD, containerization (Docker, Kubernetes), infrastructure as code (Terraform, ARM templates).
• Fundamental understanding of MLOps: MLow or similar frameworks for tracking and versioning.
• Familiarity with machine learning frameworks (TensorFlow, PyTorch, XGBoost) and how to operationalize them in production.
• Broad understanding of data structures and data engineering.

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, eiciency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, x or improve – anything that isn’t done right, irrespective of who did it. Be selsh about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply here. We encourage you to apply even if you believe you do not meet all the requirements listed above.

That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers.

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.

BDM - Business Development Manager -

Job Summary:

Our growing company is in need of an experienced and resourceful Business

Development Manager to develop, implement and manage growth opportunities in

existing and new IT Markets. We’re searching for professionals that have a solid

track record of creating long-term value for organizations.

Expected Qqualities -

1. Experience in proposal writing

2. Confident enough to do international Client Communication using emails,

chat, audio and video call, Skype call

3. Knowledge of Hubspot CRM.

4. Excellent expertise in Sales for the projects as IT Services, Web and software

Services, Website designing, PHP Development, iPhone and Android mobile

application etc. to clients.

5. Good working experience in effort estimation, client follow up, proposal

writing.

6. Knowledge of market research, sales and negotiating principles

7. Excellent communication/presentation skills and ability to build relationships

8. Analytical and time-management skills

9. Up selling and cross selling skills

10. A flexible work schedules

Responsibilities

1. To identify profitable business opportunities based on the analysis of

potential profit margins, timescales, and competition

2. To develop and maintain a lead generation plan

3. To deliver a continuous pipeline of qualified opportunities through various

prospecting means including research, networking, cross-selling, cold

calling, exhibitions, partnerships etc.

4. Responsible for costing, negotiations, follow up & requirement gathering.

5. To negotiate contracts / SLAs that achieve company objectives

6. Offer account management support to the senior sales team for existing

accounts

7. To ensure the highest possible conversion rate of new leads into confirmed

new business

8. To identify and report on market trends, competitor activity, customer

demand, buying process developments and other relevant market intelligence

9. CRM Management

Additional Skills:

• Strong communication and IT fluency
• Creative talents and the ability to solve tough problems
• In-depth knowledge of the industry and its current events
• The ability to handle pressure and meet deadlines
• Skill in prioritizing and triaging obligations.
• Attention to detail
• Excellent time management and organization.

Company Description

Smarsh is the leader in communications compliance, archiving, and analytics. We provide compliance across the broadest set of communications channels with insights on what’s being captured. Smarsh customers manage over 500 million daily conversations across 80 channels and growing. Customers include the top 10 U.S., top 8 European, top 5 Canadian, and top 3 Asian banks. The Smarsh advantage is customers stay ahead of compliance and uncover patterns and relationships hidden within their data.

At Smarsh , we’ve been helping our customers manage new forms of communication since 1998. We work closely with regulators including the SEC, FINRA, IIROC, and the PRA and FCA, and with our customers, to ensure that they understand the capabilities of today’s technology and that our platform meets their most stringent requirements. Our products include Connected Capture, Connected Archive, Web Archive & Business Solutions.

About the team

Are you an SRE with excellent Observability, Containerization and Orchestration skills? As a Site Reliability Engineer (SRE) in the Smarsh SaaS Operations team, you'll be part of a team who measures and improves production performance reliability through sustainable engineering practices for our suite of applications. Toil will be your number one enemy, observability your closest friend and your mission will be to drive operational burden as close to zero as you can.

Responsibilities

• Responsible for technical direction at the platform solutions level. Is able to weigh the pros and cons of various solutions and credibly argue for the best path
• Work closely with Product Management and the rest of the engineering team to define features and their implementations with careful attention to quality, scalability, and maintainability
• Can break down complex technical solutions into abstractions that the rest of the team and understand
• Can investigate and solve complex bugs, performance, and scalability issues
• Collaborates with multiple agile teams to ensure their solutions integrate effectively
• Track work in ticketing system (JIRA)
• Participate in Pull Request reviews. Provide and receive feedback to continuously improve.
• Other duties as assigned.

Desired skills & experience

• A minimum 10+ years industry experience
• Masters in CS or equivalent
• Must have experience in Azure or AWS, either running some large-scale app there or migrating to Azure/AWS. 
• Experience operating Cloud Foundry in production environments 
• Experience managing CI/CD systems (Concourse, Jenkins, TravisCI etc.) 
• Experience deploying and/or operating ELK stack 
• Experience with container technologies and orchestration platforms (Docker, Kubernetes, Cloud Foundry) 
• Experience working with monitoring and observability tools (We use Datadog and New Relic) 
• Familiarity with working with PostgreSQL and MongoDB 
• Background working in a multi-platform environment (Linux, Windows) 
• Experience with running on a cloud platform, AWS preferred (S3, RDS, SQS) 
• Familiarity with Agile/Scrum/Kanban methodologies 
• Familiarity with programming/scripting languages (ie. Python, Bash, PowerShell, Go, etc.) 

Additional Skills

• Expert programming skills in relevant languages
• Exceptional analytical and problem-solving skills
• Strong communication and collaboration skills
• Deep understanding of modern software architecture
• Deep domain knowledge of the industry, platform, and existing processes
• Fault-tolerant design & maintenance
• Knowledge and understanding of modern software programming/engineering.
• Product delivery lifecycle - requirement refinement through ops

Why Smarsh?

Ready to join a thriving tech company that’s redefining digital archiving and business intelligence?

Smarsh is the leading comprehensive archiving platform. Recognized as one of today’s fastest growing companies in the U.S., Smarsh delivers innovative cloud-based solutions that help organizations manage and enforce flexible and secure records retention and compliance strategies for electronic communications, including social media and enterprise social networks (Yammer, Chatter, Facebook, LinkedIn and more).

Our motto is ‘People First. Inspire Confidence. Embrace the Impossible.’ We hire lifelong learners who have a passion for their discipline and a track record of excellence. To learn more about us, visit www.smarsh.com/careers

1. 4. Try to bring delivery associates local persons or the needy.

Our client is a World’s #1 Co-Op and Collaborative Marketing Platform,looking for a Senior UX designer to join the Product Experience team assisting in research, design, and development of an innovative user-need based, engaging, and intuitive online SaaS platform. Work with real customers of the SaaS platform to better the design and advocate for users’ needs.

Key Attributes you'd need to possess:

• Problem Solver - Quick on your feet, some problems require creative solutions. Communicating those with peers and clients effectively, for presentations and walk through as well as support on client calls if needed.

• Team Player- Builds strong partnerships with product & engineering teams, and understands how to handle creative differences between teams and stakeholders to manage consistency at a brand level.

• User-Driven - Advocate for the user and get them the best experience driven by design. We believe in data, the numbers don’t lie! Using data to back design decisions get you extra points! 

• Business Acumen- Should be willing to learn and understand complex business challenges, and formulate solutions to solve the problems effectively. Someone who makes intelligent decisions - work effectively, plan better, and formulate solutions that can deliver returns.

Typical work week look like:

• Research- Conducting user research, client interviews, and usability testing to understand user needs; studying data patterns that highlight these using prospecting tools for performing Client-need Analysis, track their pain-points to develop a reach-out strategy.

• Ideation and Brainstorming- Brainstorming and designing new features for our SaaS platform based on research, tech requirements, and feature requests. Lots of white-boarding, paper scribbles, and ideas!

• Dev Support- Communicating with web developers, including providing input on any needed digital enhancements

• Manage the Brand Guidelines and Visuals- Designing and managing the information architecture for the marketing website and product, drafting information flows and designing wireframes, mockups and prototypes. Branding and Illustrations for OnlineSales.ai and its marketing website or any events the company will be showcased in.

Our ideal candidate should have:

• 4+ years of work experience in designing digital products or experiences

• Relevant Degree/Diploma or experience/certification in Product or Experience design

• Great understanding of user-centric design, responsive design and designing for web

• Good communication skills

• Software skills - Adobe CC or similar. Any tool you are comfortable with to design and prototype.

• Any experience in digital marketing is a plus.

• Good to have knowledge of CSS, HTML - we work hand in hand with developers.
  
  Thanks
  Anamika

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification

We, Chilton Refrigeration Pvt Ltd, are an innovation focused refrigeration-based manufacturing company based at Kochi, Kerala. Chilton has 6 patents to its credit and has started the second manufacturing base in Gujarat, Ahmedabad. Recently, we have launched our newest patented product-Hot water Air Conditioner.

We are growing aggressively in the states of Gujarat, Maharashtra, Andhra Pradesh, Telangana, Tamil Nadu and Karnataka and are looking for Sales Engineer who can support us and be the driving force in our sales and customer relations. Apart from this, you get the opportunity for career growth within company.

Key responsibilities: 

• Identify market opportunities to generate new business with a willingness to travel on daily basis
• Conduct professional presentations and seminars for client
• Prepare and present winning technical and pricing proposals coordinating with technical team
• Achieve sales revenue and gross margin to meet with monthly and yearly targets
• Do customer follow-ups and close customer complaints in short period
• Provide technical advice in product design and system integration solution independently
• Provide inputs to Manager on lost customer analysis on weekly/ monthly basis.
• Provide regular reports to reporting manager though designated apps
• Payment / Relevant documents collection / recovery, commercial closing of orders independently

Who can apply?

To be successful in this role, you must have a proven ability selling industrial products to industries like Pharma , Food and Beverages , Plastic etc . A strong technical understanding of products and their application to facilities is critical.

Must be willing to travel PAN India

Must have a Bachelor’s degree BE / B.Tech or equivalent in Electrical or Mechanical Engineering