Salesforce Developer

Job Type: Full Time

Shift: US Time Zone

About the Role:

We are seeking a talented Senior Python Developer with strong hands-on experience in building agentic systems (multi-agent systems). This role requires expertise in Python, PostgreSQL, and the ability to work on a dynamic platform that supports multi-agent architectures. You will be responsible for developing, enhancing, and maintaining platforms that involve complex agent-based interactions, while also supporting the database systems and overall infrastructure.

Key Responsibilities:

Design, implement, and maintain multi-agent systems to support complex interactions and decision-making processes.

Develop scalable and efficient Python code for integrating and managing agents and their communication layers.

Work extensively with PostgreSQL databases to design schemas, optimize queries, and manage data storage effectively.

Collaborate with cross-functional teams to integrate agentic systems into larger platforms and ensure their smooth operation.

Troubleshoot, debug, and optimize Python-based solutions and database interactions.

Write high-quality, maintainable, and well-documented code.

Provide technical support for the platform, ensuring its scalability and performance over time.

Mentor junior developers and provide technical guidance as needed.

Required Skills and Experience:

5+ years of strong hands-on experience in Python development.

Experience in building and deploying multi-agent systems or agent-based frameworks.

Proficiency in PostgreSQL, including schema design, query optimization, and database management.

Knowledge of agent-based modeling or similar paradigms is highly desirable.

Familiarity with various Python libraries for handling complex algorithms and system integration.

Experience in supporting and maintaining platforms or systems post-deployment.

Strong understanding of software development best practices and version control (Git).

Excellent problem-solving skills and the ability to think algorithmically.

Strong communication skills with the ability to explain complex technical concepts.

Preferred Qualifications:

A degree in Computer Science, Engineering, or a related field.

Experience with cloud platforms (AWS, Azure, etc.) is a plus.

Knowledge of agent communication languages (ACL) or other protocols related to multi-agent systems is beneficial.

Familiarity with Docker, Kubernetes, or other containerization tools.

About Certa

Certa is a leading provider of AI-powered third-party risk management and workflow automation

solutions. Our AI team is at the forefront of leveraging cutting-edge technologies to enhance

vendor onboarding, compliance, and risk analysis.

We are looking for an Associate Product Manager (APM) to join our AI product team. This role

will be instrumental in shaping AI-driven features and integrations, working at the intersection of

AI, UX, and product strategy. The APM will report directly to a Senior Product Manager and

collaborate closely with engineering, design, and sales teams to bring innovative AI solutions to

life.

What You'll Do:

• Own & manage specific AI product features and sub-initiatives across multiple projects, gaining cross-product knowledge.
• Gather and prioritize product and customer requirements to ensure we are solving real business problems with AI.
• Collaborate with stakeholders to define product vision, prioritize, and break it down into execution phases.
• Work closely with engineering & design teams to deliver high-quality AI-driven features.
• Monitor & report on product performance, leveraging insights from OpenPanel and other analytics tools.
• Solve complex problems with structured thinking and propose actionable, detailed solutions.
• Leverage data to drive decisions and refine product strategy.
• Gather market insights and understand customer pain points via research and engaging
• with clients, prospects, sales, and marketing.

What We're Looking For

At Certa, AI PMs are hands-on builders. You will design, prototype, and ship AI-powered pipelines for products. We're looking for someone who can think like a PM and build like an engineer.

Must-Have Skills

• Hands-on experience building and shipping AI pipelines end-to-end.
• Strong working knowledge of AI concepts - LLMs, generative AI, prompt engineering, agentic workflows, and vector databases.
• Ability to move from idea to working prototype quickly, with a bias toward iteration over perfection.
• Ability to identify opportunities where AI can drive efficiency and innovation.
• Excellent collaboration and communication skills (written and verbal), with a proactive approach to working with engineering, design, and sales teams.
• 1–3 years of experience in product management, AI/tech products, or a related field.

Nice-to-Have Skills

• Hands-on experience with n8n, Langflow, or similar AI automation tools.
• Experience working in automation contexts - industrial, business process, or workflow automation.
• Prior experience in software development or programming.
• Active interest in the latest AI developments and research.
• Prior experience in B2B SaaS.

Data Scientist

Job Title: Data Scientist – Data and Artificial Intelligence

Location: Hyderabad

Job Type: Full-time

Company Description:

Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, 

and Cyber Security. We help businesses unlock the full potential of these technologies 

to achieve their goals and gain a competitive edge. Our unique approach focuses on 

delivering value through bespoke solutions tailored to customer specific needs. We are 

driven by a customer-centric mindset and committed to delivering continuous value 

through intellectual property accelerators and automation. Our team of experts is 

passionate about technology and dedicated to making a positive impact. We foster an 

environment of growth and innovation, constantly pushing the boundaries to deliver 

exceptional results. Website: www.qylis.com, LinkedIn: 

www.linkedin.com/company/qylis

Job Summary

We are an engineering organization collaborating directly with clients to address 

challenges using the latest technologies. Our focus is on joint code development with 

clients' engineers for cloud-based solutions, accelerating organizational progress. 

Working with product teams, partners, and open-source communities, we contribute to 

open source, striving for platform improvement. This role involves creating impactful 

solution patterns and open-source assets. As a team member, you'll collaborate with 

engineers from both teams, applying your skills and creativity to solve complex 

challenges and contribute to open source, while fostering professional growth.

Responsibilities

• Researching and developing production-grade models (forecasting, anomaly 

detection, optimization, clustering, etc.) for global cloud business by using 

statistical and machine learning techniques.

• Manage large volumes of data, and create new and improved solutions for data 

collection, management, analyses, and data science model development.

• Drive the onboarding of new data and the refinement of existing data sources 

through feature engineering and feature selection.

• Apply statistical concepts and cutting-edge machine learning techniques to 

analyze cloud demand and optimize data science model code for distributed 

computing platforms and task automation.

• Work closely with other data scientists and data engineers to deploy models that 

drive cloud infrastructure capacity planning.

• Present analytical findings and business insights to project managers, 

stakeholders, and senior leadership and keep abreast of new statistical / 

machine learning techniques and implement them as appropriate to improve 

predictive performance.

• Oversees the analysis of data and leads the team in identifying trends, patterns, 

correlations, and insights to develop new forecasting models and improve 

existing models.

• Leads collaboration among team and leverages data to identify pockets of 

opportunity to apply state-of-the-art algorithms to improve a solution to a 

business problem.

• Consistently leverages knowledge of techniques to optimize analysis using 

algorithms.

• Modifies statistical analysis tools for evaluating Machine Learning models. 

Solves deep and challenging problems for circumstances such as when model 

predictions are not correct, when models do not match the training data or the 

design outcomes when the data is not clean when it is unclear which analyses to 

run, and when the process is ambiguous.

• Provides coaching to team members on business context, interpretation, and the 

implications of findings. Interprets findings and their implications for multiple 

businesses, and champions methodological rigour by calling attention to the 

limitations of knowledge wherever biases in data, methods, and analysis exist.

• Generates and leverages insights that inform future studies and reframe the 

research agenda. Informs both current business decisions by implementing and 

adapting supply-chain strategies through complex business intelligence.

Qualifications

• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer 

Science or Engineering, Data Science, Operations Research or similar applied 

quantitative field

• 7+ years of industry experience in developing production-grade statistical and 

machine learning code in a collaborative team environment.

• Prior experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel).

• Prior experience working on Computer Vision Project is an Add on 

• Knowledge on AWS and Azure Cloud.

• Prior experience in time series forecasting.

• Prior experience with typical data management systems and tools such as SQL.

• Knowledge and ability to work within a large-scale computing or big data context, 

and hands-on experience with Hadoop, Spark, DataBricks or similar.

• Excellent analytical skills; ability to understand business needs and translate 

them into technical solutions, including analysis specifications and models.

• Experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel) with skill level at or near fluency.

• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid 

knowledge of theory and practice.

• Practical and professional experience contributing to and maintaining a large 

code base with code versioning systems such as Git.

• Creative thinking skills with emphasis on developing innovative methods to solve 

hard problems under ambiguity.

• Good interpersonal and communication (verbal and written) skills, including the 

ability to write concise and accurate technical documentation and communicate 

technical ideas to non-technical audiences.

Dear Aspirant,

We do have an urgent opening with Sagarsoft for the Application Support Analyst role.

Job Title/Role: Application Support Analyst

Job Location: Hyderabad- Remote

Client : Point72 -https://point72.com

Role: Permanent Role 

Notice Period: Immediate to 15 days

Open Positions: 2

Shift: US Shifts (Complete Night Shifts)

Working Hours:

• Shift Rotation: Every 3 months
• Shifts:
• Evening Shift: 7:00 PM to 5:00 AM IST
• Night Shift: 9:30 PM to 7:30 AM IST/''

About us: Sagarsoft is a BSE listed Digital engineering services company dedicamted to assisting global enterprises with digital transformation and technology modernization.

Overview: Join our dynamic US support team as an Application Support Specialist. You’ll play a key role in providing top-notch support for our applications, ensuring smooth operations across our middle, and back office systems.

Key Responsibilities:

• Collaborate with the global support team in Connecticut to deliver seamless support across different time zones.
• Work closely with Project Managers, Traders, and Analysts to quickly resolve issues and identify areas for improvement.
• Assist in the rollout and setup of new products, providing training and support to end-users.
• Offer 2nd and 3rd line support for various office systems and market data.
• Coordinate with external vendor support teams to address technical issues and implement enhancements.
• Support Development and QA teams throughout project lifecycles, from gathering requirements to deployment.
• Participate in planning and executing PC releases and related deployment activities.
• Set up and monitor automated jobs using a central scheduler (e.g., Active Batch).
• Utilize ticket, issue, and change management systems effectively.

Requirements:

• Passion for providing an outstanding client experience.
• Excellent written and verbal communication skills.
• Confident and friendly phone presence.
• Strong troubleshooting and problem-solving abilities.
• Willingness to share knowledge and suggest improvements.
• Team player who remains calm under pressure.
• Availability for off-hours on-call support.
• Flexibility and adaptability in a fast-paced, evolving environment.

Desired Skills:

• 4 to 6+ years of experience in an Application Support role.
• Experience in automating repetitive tasks.
• Understanding of trading phases and asset types.
• Familiarity with Windows, MS Office, and common business applications.
• Experience with Windows 2003 and 2008 clustering.

Mandatory Skills:

• Experience in investment banking.
• Strong communication and interpersonal skills.
• Proficient in SQL and comfortable working with SQL Server.
• Strong Python or similar programming skills, with a focus on automation.
• Basic UNIX scripting experience is a plus.
• Familiarity with scripting languages (e.g., PowerShell, VB Script, batch).
• Experience with scheduling software (e.g., Autosys, Active Batch)

If you find the skillset suitable, Please let us know the following details.

• Reason for Change:
• Offers in hand?:
• Total exp:
• Relevant exp in Application Support :
• Experience in Python:
• Experience in Automation:
• Experience in SQL:
• Experience in Investment banking:
• Current CTC:
• Expected CTC:
• Notice period (kindly mention the days negotiable, if any):
• Current location:
• Preferred location:
• LinkedIn:

Skills Required:

- Good experience with programming language Python
- Strong experience in Docker.
- Good knowledge with any of the Cloud Platform like Azure.
- Must be comfortable working in a Linux environment.
- Must have exposure into IOT domain and its protocols ((Zigbee & BLE ,LoRa,Modbus)
- Must be a good team player.
- Strong Communication Skills

Job description

Problem Statement-Solution

Only 10% of India speaks English and 90% speak over 25 languages and 1000s of dialects. The internet has largely been in English. A good part of India is now getting internet connectivity thanks to cheap smartphones and Jio. The non-English speaking internet users will balloon to about 600 million users out of the total 750 million internet users in India by 2020. This will make the vernacular segment one of the largest segments in the world - almost 2x the size of the US population. The vernacular segment has very few products that they can use on the internet.

One large human need is that of sharing thoughts and connecting with people of the same community on the basis of language and common interests. Twitter serves this need globally but the experience is mostly in English. There’s a large unaddressed need for these vernacular users to express themselves in their mother tongue and connect with others from their community. Koo is a solution to this problem.

About Koo

Koo was founded in March 2020, as a micro-blogging platform in both Indian languages and English, which gives a voice to the millions of Indians who communicate in Indian languages.

Currently available in Assamese, Bengali, English, Hindi, Kannada, Marathi, Tamil and Telugu, Koo enables people from across India to express themselves online in their mother tongues. In a country where under 10% of the population speaks English as a native language, Koo meets the need for a social media platform that can deliver an immersive language experience to an Indian user, thereby enabling them to connect and interact with each other. The recently introduced ‘Talk to Type’ enables users to leverage the voice assistant to share their thoughts without having to type. In August 2021, Koo crossed 10 million downloads, in just 16 months of launch.

Since June 2021, Koo is available in Nigeria.

1. 
   Founding Team

Koo is founded by veteran internet entrepreneurs - Aprameya Radhakrishna (CEO, Taxiforsure) and Mayank Bidawatka (Co-founder, Goodbox & Coreteam, redBus).

Technology Team & Culture

The technology team comprises sharp coders, technology geeks and guys who have been entrepreneurs or are entrepreneurial and extremely passionate towards technology. Talent is coming from the likes of Google, Walmart, Redbus, Dailyhunt. Anyone being part of a technology team will have a lot to learn from their peers and mentors. Download our android app and take a look at what we’ve built. Technology stack compromises of a wide variety of cutting-edge technologies like Kotlin, Java 15, Reactive Programming, MongoDB, Cassandra, Kubernetes, AWS, NodeJS, Python, ReactJS, Redis, Aerospike, ML, Deep learning etc. We believe in giving a lot of independence and autonomy to ownership-driven individuals.

Technology skill sets required for a matching profile 

• Experience between 3 to 7 years in a devops role with mandatory one or more stints at a fast paced startup.
• Mandatory experience with containers, kubernetes (EKS) (setting up from scratch), istio and microservices.
• Sound knowledge of technologies like Terraform, Automation Scripts, Cron jobs etc. Must have worked with goals of putting infra as code like setting up new environments with code.
• Knowledge of industry standards around monitoring, alerting, self healing, high availability, auto scaling etc.
• Exhaustive experience with various cloud technologies (especially on AWS) like SQS, SNS, Elastic Search, Elastic Cache, Elastic Transcoder, VPC, Subnets, Security groups etc.
• Must have set up stable CI-CD pipelines with capabilities to do zero downtime deployments on any one of rolling updates, blue green or canary modes.
• Experience with VPN and LDAP solutions for securely login to infrastructure and proving SSO. 8. Master of deploying and troubleshooting all layers of application from network, frontend, backend and databases (MongoDB, Redis, Postgres, Cassandra, ElasticSearch, Aerospike etc).

What you need to have:

• 3+ years of experience
• Knowledge of various laws like PF, ESIC, PT, etc
• Excellent communication and presentation skills
• Worked as an HRBP, Operations, Compliances
• High on relationship building and influencing skills
• Employee and organisation focused
• Conflict management skills
• A mix of recruitment, general HR management and leadership skills is needed for this role