Database Administrator

Salary: ₹3.5 LPA( Based on the performance)

Experience: 1–3 Years (ONLY FOR FEMALES)

We are looking for a Technical Trainer skilled in HTML, Java, Python, and AI to conduct technical trainer. The trainer will create learning materials, deliver sessions, assess student performance, and support learners throughout the training. Strong communication skills and the ability to explain technical concepts clearly are essential.

Job Title: Generative AI Engineer

Experience: 6–9 years

Job description:

We are seeking a Generative AI Engineer with 6–9 years of experience who can independently

explore, prototype, and present the art of the possible using LLMs, agentic frameworks, and

emerging Gen AI techniques. This role combines deep technical hands-on development with

non-technical influence and presentation skills.

You will contribute to key Gen AI innovation initiatives, help define new protocols (like MCP

and A2A) and deliver fully functional prototypes that push the boundaries of enterprise AI — not

just in Jupyter notebooks, but as real applications ready for production exploration.

Key Responsibilities:

·        LLM Applications & Agentic Frameworks

·        Design and implement end-to-end LLM applications using OpenAI, Claude, Mistral,

·        Gemini, or LLaMA on AWS, Databricks, Azure or GCP.

·        Build intelligent, autonomous agents using LangGraph, AutoGen, LlamaIndex, Crew.ai,or custom frameworks.

·        Develop Multi Model, Multi Agent, Retrieval-Augmented Generation (RAG) applications with secure context embedding and tracing with reports.

·        Rapidly explore and showcase the art of the possible through functional, demonstrable POCs

·        Advanced AI Experimentation

·        Fine-tune LLMs and Small Language Models (SLMs) for domain-specific use.

·        Create and leverage synthetic datasets to simulate edge cases and scale training.

·        Evaluate agents using custom agent evaluation frameworks (success rates, latency,reliability)

·        Evaluate emerging agent communication standards — A2A (Agent-to-Agent) and MCP (Model Context Protocol), Business Alignment & Cross-Team Collaboration

·        Translate ambiguous requirements into structured, AI-enabled solutions.

·        Clearly communicate and present ideas, outcomes, and system behaviors to technical and non-technical stakeholders

Good-To-Have:

·        Microsoft Copilot Studio

·        DevRev

·        Codium

·        Cursor

·        Atlassian AI

·        Databricks Mosaic AI

Qualifications:

·        6–9 years of experience in software development or AI/ML engineering

·        At least 3 years working with LLMs, GenAI applications, or agentic frameworks.

·        Proficient in AI/ML, MLOps concepts, Python, embeddings, prompt engineering, and

·        model orchestration

·        Proven track record of developing functional AI prototypes beyond notebooks.

·        Strong presentation and storytelling skills to clearly convey GenAI concepts and value.

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

• Hands on Work experience as a Python Developer
• Hands on Work experience in SQL/PLSQL 
• Expertise in at least one popular Python framework (like Django, Flask or Pyramid)
• Knowledge of object-relational mapping (ORM)
• Familiarity with front-end technologies (like JavaScript and HTML5)
• Willingness to learn & upgrade to Big data and cloud technologies like Pyspark Azure etc.
• Team spirit
• Good problem-solving skills
• Write effective, scalable code

• Consolidating daily reporting from different advertiser dashboards
• Monitoring discrepancy between advertiser and publisher numbers
• Maintaining month-end consolidated reports for Publishers and Advertisers
• Perform ad trafficking, ensuring accurate implementation of creative assets, tracking codes, and targeting specifications.
• Monitor campaign performance, analyze data, and provide actionable insights to improve campaign effectiveness and optimize ROI.
• Collaborate with cross-functional teams to ensure campaigns are executed according to client objectives and deadlines.
• Stay up-to-date with industry trends, ad tech developments, and best practices to enhance campaign strategies.

Total Rewards Analyst

From day one, Smarsh was built on a set of core values that have motivated and sustained us – People First, Inspire Confidence, and Embrace the Impossible. We ask that each of our employees – whether new or old- ingrain these values in our day-to-day decisions, call on them while serving our customers and our peers and apply them when creating the best possible products, we can imagine.

Smarsh is a global leader in natural language processing, artificial intelligence, and machine learning. Smarsh’s SaaS solutions transforms the risk and compliance industry with the first integrated, AI-powered solution for the retention, oversight, and analysis of electronic communications.

About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility, and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like

What You Will Be Doing

As a Total Rewards Analyst you will be responsible for developing, implementing, and administering the entire spectrum of total rewards and not limited to compensation and benefit policies and programs, which support company objectives and local practices. You will also provide HR and leadership with processes and tools that facilitate the administration of equitable quality programs and ensures a competitive market position for the organization. You will be developing and/or participating in compensation/benefit surveys to analyse company’s competitive position. You will be ensuring company compliance with government laws governing both compensation and benefits practices.

Responsibilities

• Support day to day compensation & benefits management and operations in the region to ensure alignment with business goals and a robust Total Rewards framework to attract, motivate, engage, and retain employees
• Overall compensation philosophy design – Building the system to keep pay equitable to market and creation of systems for delivery at scale.
• End to End Support to our rewards cycles (mid-year and year-end) including the review current offerings and plans for enhancements and changes, rollout and communication materials.
• Assist with the compliance and governance of compensation and benefits policies and programs, monitor market trends, identify risks, perform audits, and provide solutions
• Act as the first point of contact for compensation and benefits queries and issues raised by employees, payroll, HR, and vendors including managing invoices.
• Lead compliance and adherence to global and local instructions/policies, and relevant local regulations / legislations.
• Create and maintain the regional compensation and benefits content on the employee portal based on the current programs and policies.
• Conduct routine market research and provide timely compensation analysis and support for new hire offers compensation & benefits packages related to job changes and relocations.
• Can contribute to a collaborative work environment with the goal to improve the delivery of compensation and benefits.
• Demonstrate excellent customer service through using effective communication skills in written and verbal interactions.
• Are comfortable working independently/with minimum supervision and interacting with employees at all levels across the globe
• Manage enrolment data for benefits including reconciliation and coordination with vendors to find solutions and resolve inquiries.
• Work on benefits solutions during M&A Cycles, planning on budgeting and harmonization.
• Partner with global total rewards teams to derive and deliver solutions at scale

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

• Meet prospective clients, execute effective product demonstrations, emphasizing product features  and benefits with focus on the value of the solution 
• Consult with hospitals to understand product needs and expectations 
• Prospect, educate, qualify, and generate interest or Sales Opportunities in key account areas (SML hospitals) 
• Develop and accomplish a lead generation plan including Outbound and Inbound prospect 
  management 
• Follow up with prospective clients and be an expert in closing deals 
• Attending sales group meetings concerning sales targets, forecasts, and reporting on maret situation and competition 
• Participating in conferences, representing the company for brand awareness 
• Ensure proper reporting of sales/CRM numbers to GM sales to effectively drives sales and output 
• Maintaining and expanding the database of prospects for the organization 
• Providing suggestions to improvise on sales and marketing strategies

PRAXINFO Hiring DevOps Engineer.

Position : DevOps Engineer

Job Location : C.G.Road, Ahmedabad

EXP : 1-3 Years

Salary : 40K - 50K

Required skills:

⦿ Good understanding of cloud infrastructure (AWS, GCP etc)

⦿ Hands on with Docker, Kubernetes or ECS

⦿ Ideally strong Linux background (RHCSA , RHCE)

⦿ Good understanding of monitoring systems (Nagios etc), Logging solutions (Elastisearch etc)

⦿ Microservice architectures

⦿ Experience with distributed systems and highly scalable systems

⦿ Demonstrated history in automating operations processes via services and tools ( Puppet, Ansible etc)

⦿ Systematic problem-solving approach coupled with a strong sense of ownership and drive.

If anyone is interested than share your resume at hiring at praxinfo dot com!

#linux #devops #engineer #kubernetes #docker #containerization #python #shellscripting #git #jenkins #maven #ant #aws #RHCE #puppet #ansible