Technical Operations Engineer - Linux Administrator

Job Description:

About CoffeeBeans Consulting

CoffeeBeans is a tech-driven software consulting company that helps businesses solve complex problems using modern data, AI, and engineering solutions. We blend deep technical expertise with a product mindset to build scalable, intelligent, and high-impact solutions across industries. Our data science team works on end-to-end delivery—from exploration and modeling to GenAI application development and deployment.

Location : Bangalore / Pune 

Work mode : Hybrid ( 3 days WFO)

Role Overview

As an L2 Data Scientist, you will play a hands-on role in delivering production-grade ML and GenAI-powered applications. You are expected to independently take ownership of data science components within client projects, contribute to solutioning and design, and mentor junior team members. You will work across a range of use cases such as personalization, fraud detection, intelligent automation, RAG pipelines, and LLM-based assistants.

This role is ideal for someone who has proven experience in both traditional ML and an emerging understanding of LLMs and generative AI applications.

Key Responsibilities

ML & Data Science

Own and deliver ML model development, tuning, and evaluation for client-facing projects.

Lead exploratory data analysis, data preprocessing, and feature engineering with minimal supervision.

Build models using appropriate ML techniques (classification, regression, clustering, recommendation) and ensure performance meets business expectations.

Contribute to experimentation frameworks and model reproducibility best practices.

GenAI & LLM Applications

Design and prototype GenAI solutions using LLMs (e.g., OpenAI, Claude, Mistral, Llama).

Build RAG pipelines, prompt templates, few-shot learning prompts, and evaluation mechanisms for GenAI systems.

Integrate LLMs with APIs, vector databases (e.g., Pinecone, FAISS, Weaviate), and context providers.

Contribute to benchmarking, safety, and cost-performance trade-offs in LLM app development.

Product & Engineering Collaboration

Collaborate with engineering teams to take models from experimentation to deployment (batch/real-time).

Assist in building APIs and data pipelines needed for productionizing models.

Contribute to technical documentation, explainability reports, and client presentations.

Team & Growth

Mentor junior data scientists and review code/model design.

Stay current with advances in ML and GenAI to inform solution design and share knowledge internally.

Participate in discovery and solutioning phases with clients alongside tech leads and PMs.

Required Skills & Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

4.5 - 6 years of hands-on experience in applied data science, including both ML model development and GenAI-based solutioning.

Strong command over Python and ML libraries (scikit-learn, XGBoost, LightGBM, etc.).

Experience working with LLM APIs (OpenAI, Cohere, Claude, etc.) and frameworks (LangChain, LlamaIndex, or similar).

Hands-on experience with prompt engineering, RAG workflows, and evaluating LLM outputs.

Proficiency in SQL and data wrangling tools (pandas, NumPy).

Experience working with REST APIs, Git, and cloud environments (AWS/GCP).

Good-to-Have Skills

Experience with deploying models via FastAPI, Docker, or serverless platforms.

Knowledge of MLOps tools (MLflow, DVC) and monitoring frameworks.

Experience with embeddings, vector databases, and similarity search.

What You Can Expect at CoffeeBeans

Work on real-world AI/ML problems across verticals.

Be part of a fast-moving team delivering end-to-end ML & GenAI apps.

Collaborate with experienced engineers and PMs in a flat and open culture.

Opportunities to lead, mentor, and influence tech direction.

Hi Shanon, As discussed we have one open req for AI role. The right skill set I am looking for is experience with RAG pipelines, Performance monitoring of prompts and tuning. Multi model RAG and agentic AI soon but not night away. Needless to say Python and the NLP lib experience is a must. Database knowledge is also essential. The developer needs to be in Morgan Stanley offices 3 days per week. BLR location is preferred, if not Mumbai is also fine. The duration is long term since we are looking to expand the use cases Please let me know if you have any questions. 

We’re looking for a talented UI/UX Designer (Product Design) to join Brainstorm Force and help shape the future of our SaaS apps, web apps, WordPress plugins, and admin interfaces. Your role will focus on creating intuitive and user-friendly product experiences that solve real-world problems. You’ll work closely with product managers and developers to ensure our products not only look amazing but function flawlessly.

This is a remote position, so you can work from anywhere in the world. You’ll collaborate with a diverse and dynamic team to bring product ideas to life and improve the user experience across our product suite.

Why You’ll Love Working With Us

• Remote work
• Flexible working hours
• Competitive pay
• Paid time off
• Allowances for setting up workspace
• Excellent work-life balance
• Career growth opportunities

Key Responsibilities:

• Design intuitive interfaces: Create user-friendly designs for SaaS apps, web apps, WordPress plugins, and admin interfaces.
• Collaborate with teams: Work closely with product managers, developers, and marketing teams to translate business requirements into effective product designs.
• Develop prototypes and wireframes: Create wireframes, user flows, and interactive prototypes that clearly communicate design ideas and user interactions.
• Maintain design systems: Build and update design systems to ensure consistency and efficiency across all product touchpoints.
• Implement pixel-perfect designs: Partner with developers to ensure accurate and high-quality execution of UI designs.
• Conduct user research: Perform user testing and gather feedback to inform design decisions, iterating as necessary to improve usability.
• Design core product elements: Focus on key product interfaces such as dashboards, settings, and reporting tools, ensuring a balance between functionality and user experience.
• Stay updated on trends: Keep up-to-date with the latest design trends and best practices, incorporating them to elevate the product experience.

What You Need to Know:

• At least 2 years of professional experience as a UI/UX Designer, preferably working on SaaS apps, web apps, or complex digital products.
• Proficient in Figma, Sketch, and Adobe Creative Suite for designing user interfaces and managing design assets.
• Skilled in designing for SaaS, web apps, and complex interfaces, ensuring usability and seamless user experiences.
• Experienced in building and maintaining design systems that drive consistency and efficiency across products.
• Strong ability to create wireframes, mockups, and interactive prototypes that effectively communicate design concepts.
• Knowledgeable about accessibility standards and inclusive design practices to ensure designs are usable for all audiences.
• Basic understanding of front-end technologies like HTML, CSS, and JavaScript to better collaborate with developers.
• Familiar with data visualization techniques, designing intuitive dashboards that present information clearly.
• Experienced in user testing tools and methods, validating design decisions through real user feedback.

Tools We Use:

• Figma for UI/UX design, wireframes, prototypes, and maintaining design systems.
• Adobe Creative Suite (Photoshop, Illustrator) for asset creation.
• UserTesting, Maze for conducting user research and usability testing.

Bonus Points If You Also Have:

• Experience designing SaaS products with complex workflows and user interactions.
• Experience with WordPress, particularly designing UI/UX for plugins or admin panels.
• Knowledge of admin interfaces, dashboards, or reporting systems.
• Basic front-end development skills like HTML, CSS, and JavaScript.
• Understanding of data visualization and its application in user interfaces.

Your Superpowers:

• You ensure every design element is polished and accurate, with no detail overlooked.
• You have a knack for breaking down intricate tasks into intuitive and easy-to-use designs.
• You tackle design challenges with innovative solutions that enhance the user experience.
• Data-driven design decisions that balance aesthetics with functionality.
• You proactively identify and address user pain points, creating solutions that enhance usability.

You Might Not Be a Good Fit If:

• You struggle to create clear and user-friendly interfaces.
• You find it challenging to balance user needs with design aesthetics.
• You have trouble collaborating effectively with cross-functional teams.
• You miss opportunities to simplify workflows or improve usability.

🚀 We’re hiring Technical Designers with strong expertise in Domain-Driven Design, OSS/BSS architecture, and enterprise modeling!

📍 Locations: Bangalore | Chennai | Hyderabad | Pune

💼 Experience: 10+ Years

NP-🕒 Immediate Joiners Only

If you’re passionate about designing scalable enterprise systems and bridging business with tech — we’d love to connect!

#Hiring #TechnicalDesigner #DomainDrivenDesign #SolutionArchitecture #OSSBSS #Neo4J #EnterpriseArchitecture #TechJobs #ImmediateJoiners

Role Overview:

Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs).

You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale.

Key Responsibilities:

● Design and implement scalable ML systems, from experimentation to deployment.

● Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring.

● Lead the development and deployment of ML models across a variety of use cases — including classical ML and LLM-based applications like summarization, classification, document understanding, and more.

● Define model training and evaluation pipelines, ensuring reproducibility and performance tracking.

● Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions.

● Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML.

● Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management.

● Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions.

● Mentor junior ML engineers and data scientists, and help scale the ML function across the organization.

Required Qualifications:

● 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale.

● Proven experience with classical ML algorithms (e.g., regression, classification,

clustering, ensemble models).

● Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain)

and their integration into production workflows.

● Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow,

PyTorch, or equivalent.

● Solid background in statistics and the ability to apply statistical thinking to real-world

problems.

● Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL,

Pandas, AWS Glue, etc.).

● Familiarity with cloud services (AWS preferred) and containerization tools (Docker,

Kubernetes) is a plus.

● Strong communication and leadership skills, with experience mentoring and guiding

junior team members.

● Self-starter attitude with a bias for action and ability to thrive in fast-paced environments.

● Master’s degree in Machine Learning, Artificial Intelligence, Statistics, or a related

field is preferred.

Preferred Qualifications:

● Experience deploying ML systems in microservices or event-driven architectures.

● Hands-on experience with vector databases, embeddings, and retrieval-augmented

generation (RAG) systems.

● Understanding of Responsible AI principles and practices.

Why Join Us?

● Lead the ML charter in a mission-driven company solving real-world challenges.

● Work on cutting-edge LLM use cases and platformize ML capabilities for scale.

● Collaborate with a passionate and technically strong team in a high-impact environment.

● Competitive compensation, flexible working model, and ample growth opportunities.

Position Vacant: FPGA Developer

Organization Name

AVANTEL LIMITED

Company Profile

AVANTEL LIMITED is a technology driven public limited company with focus on developing innovative wireless communication products and solutions to meet unique requirements of defense, railways, and telecom sectors. The organization is certified against AS 9100D and ISO 9001:2015 standards for Quality Management System. For more details visit www.avantel.in.

Industry

Electronics /Telecommunications

Qualification

B.Tech/ M. Tech. degree in Embedded Systems / Signal processing / VLSI

Desired Skills / Responsibilities

Mandatory Skills/ Knowledge :

·        Coding and Debugging in C language /Coding and Debugging in Verilog - VHDL

·        Knowledge of signal processing algorithms related to Digital communication such as Digital Filters, FFT, Modulation, Demodulation, Carrier / Symbol Tracking etc.

·        Thorough knowledge on Xilinx, Spartan 6 & 7 Board. A hand on experience is a must on above.

·        Programming knowledge of Hardware and Firmware

·        Development Life Cycle processes for embedded systems

Preferable: The Experience must be in the area(s) of

·        Realization of Real Time Digital Signal Processing and / Or

·        Realization of real time Digital Communications

·        Knowledge in FPGA is Mandatory

Desired profile of the candidate

·        Good communication skills

·        Good academic record

·        Min 70% above in B.Tech

Experience

5-10 Years (Should be trained in C & Embedded courses also on FPGA.)

Interview Mode

Face to Face (or) Virtual

Location of posting

Hyderabad/Visakhapatnam

Shift Timings

8:30 AM to 5:30 PM

Working Days

6 Days (Sunday is Off)

The ideal candidate will have experience in all stages of the sales cycle. They should be confident with building new client relationship and maintaining existing ones. They should have evidence of strong skills and possess good negotiation skills.Responsibilities

• Build relationships with prospective clients
• Maintain consistent contact with existing clients
• Manage sales pipeline
• Analyze market and establish competitive advantages
• Track metrics to ensure targets are hit

Qualifications

• Master's degree and experience in sales industry
• Experience in full sales cycle including deal closing Demonstrated sales success
• Strong negotiation skills
• Strong communication and presentation skills
• CRM experience is preferred

• 5 to 7 years of professional experience in Siebel design and development
• 4 years of at least working experience in public sector eServices implementations
•  Low/No-Code development experience
•  Hands-on experience in Siebel 8. x configuration (including Siebel Tools, workflows, Siebel Scripting, Run time Events, DVM, and Siebel Open UI) is required
•  Hands-on experience in Siebel EAI Technologies HTTP, FTP, XML Transports, Web Services, and Integration workflow Processes.
•  Experience in Siebel Scripting (eScript/SVB), Business Services, & using Siebel Adapters/Connectors/APIs
•  Experience in JQuery and Ajax is highly preferred
• Siebel BI Publisher reports, contracts and agreements experience is highly preferred
•  Functional experience of Siebel 8. x Application is preferred
• Knowledge/experience in analyzing and transforming business requirements into functional design is preferred
•  Knowledge/experience in MS CRM Dynamics is preferred