11+ Audio Jobs in Mumbai | Audio Job openings in Mumbai

• Key responsibility is to design & develop a data pipeline for real-time data integration, processing, executing of the model (if required), and exposing output via MQ / API / No-SQL DB for consumption
• Provide technical expertise to design efficient data ingestion solutions to store & process unstructured data, such as Documents, audio, images, weblogs, etc
• Developing API services to provide data as a service
• Prototyping Solutions for complex data processing problems using AWS cloud-native solutions
• Implementing automated Audit & Quality assurance Checks in Data Pipeline
• Document & maintain data lineage from various sources to enable data governance
• Coordination with BIU, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc

Skills

• Programming experience using Python & SQL
• Extensive working experience in Data Engineering projects, using AWS Kinesys,  AWS S3, DynamoDB, EMR, Lambda, Athena, etc for event processing
• Experience & expertise in implementing complex data pipeline
• Strong Familiarity with AWS Toolset for Storage & Processing. Able to recommend the right tools/solutions available to address specific data processing problems
• Hands-on experience in Unstructured (Audio, Image, Documents, Weblogs, etc) Data processing.
• Good analytical skills with the ability to synthesize data to design and deliver meaningful information
• Know-how on any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc) will be an advantage.
• Ability to understand business functionality, processes, and flows
• Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently

Functional knowledge

• Real-time Event Processing
• Data Governance & Quality assurance
• Containerized deployment
• Linux
• Unstructured Data Processing
• AWS Toolsets for Storage & Processing
• Data Security

About the role:

Unico Connect is an Al-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Senior Al Engineer for a dedicated client engagement focused on building an Al-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code. The mandatory requirement for this role is hands-on production experience shipping LLMpowered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage. The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy. You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.

Responsibilities:

Agent architecture: Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions. Make and revisit architectural decisions on singleagent vs. multi-agent designs, including planner/executor splits and dedicated buildrepair sub-agents.

Code generation pipeline: Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit. Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies. Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.

Self-repair loop: Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation. This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.

Context management: Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval. Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes. Own token budgeting and prompt caching strategy.

Prompt engineering as a discipline: Own the system prompt and per-task prompt variants (new feature, bug fix, styling change). Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites. Version prompts like code with changelogs and rollback capability.

Evaluation and quality measurement: Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant. Define regression gates that block qualitydegrading changes from shipping. Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time. This responsibility is nonnegotiable at this level. 

Model strategy and cost: Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation. Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection. Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.

Safety and reliability of agent behaviour: Defend against prompt injection from user content and fetched web content. Ensure secrets never appear in generated client code. Define what the agent's tools may and may not do in collaboration with the platform team. Contribute to output moderation and abuse-pattern awareness.

Mentorship and engineering standards: Run code reviews, define engineering conventions for Al work, and raise the engineering bar across the Al team. Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.

Requirements:

Hands-on production ownership of LLM-powered systems with agent architectures (mandatory). Must have personally shipped and operated at least one complex production Al system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost. POCs, internal demos, and tutorialgrade work do not qualify.

5+ years of professional software or Al engineering experience, with at least 3 years focused on LLM applications, Al engineering, or production Al systems. Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.

Strong Python proficiency and service development. Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging. Not notebook-only. 

Depth across LLM APIs and agent systems. Production experience with at least two of OpenAl, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together). Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, Llamalndex Agents) or hand-rolled equivalent. Hands-on with tool calling, structured outputs, and multi-step reasoning.

Demonstrated, systematic evaluation practice - non-negotiable. Must have built evaluation harnesses that gate production releases, not ad-hoc testing. Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval. Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.

Cost discipline for production Al. Track record of measurable cost optimisation on production Al features. Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.

AWS working knowledge. Hands-on with EC2, S3, IAM, and Docker. Comfort with CI/CD workflows and deploying Al services.

Awareness of LLM security failure modes. Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.

Nice to have: experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work; MCP server authoring; open-source Al contributions; published technical writing on LLM systems; multi-modal model experience; fine-tuning exposure (LORA, QLORA, PEFT).

Job Title

Hardware Engineer

Job Summary

We are seeking a Hardware Engineer to design, develop, and support low-power electronic hardware systems, from concept through production. The role involves schematic design, PCB layout, component selection, and collaboration with firmware and mechanical teams to deliver reliable and manufacturable hardware solutions.

Key Responsibilities

·        Design electronic circuits and develop schematics and PCB layouts

·        Select components based on performance, power, cost, and availability

·        Develop and review battery-operated designs

·        Ensure designs meet electrical, thermal, and reliability requirements

·        Support hardware bring-up, debugging, and validation

·        Prepare BOMs, Gerbers, and manufacturing documentation

·        Work closely with firmware, and testing team

·        Review and improve designs for DFM/DFA and production readiness

Required Qualifications

·        Bachelor’s degree in Electronics Engineering, Electrical Engineering, or related field

·        Strong understanding of analog and digital electronics

·        Experience with PCB design tools (Altium, KiCad, Eagle, or similar)

·        Familiarity with microcontrollers and embedded systems

·        Ability to read datasheets and apply reference designs

·        Basic knowledge of EMI/ESD protection and signal integrity

Preferred Qualifications

·        Experience with low-power or battery-operated hardware

·        Exposure to IoT devices, sensors, or communication modules

·        Experience supporting prototype to production transitions

·        Knowledge of manufacturing and testing processes

·        Ability to document designs clearly and professionally

Experience Level

·        2+ years

Soft Skills

·        Strong problem-solving skills

·        Ability to work independently and in cross-functional teams

·        Good communication and documentation skills

Role: Ad Sales Manager / Assistant Manager

Location: Mumbai

Key Responsibilities:

● Ensure performance, strategy and alignment of the company's revenue-generating departments

● Establishing guiding sales organizational principles for managing performance

● Mapping key clients and agencies in the region for pitching the company advertising / marketing solutions

● Build trusted relationships, and clearly articulate key value propositions, processes and performance for the region

● Manage team and ensure they learn and deliver the set KRA's

● Execute the sales strategies, manage sales sales territories and leverage the right resources to optimize the results

Our Ideal colleague:

● Has grown and managed ad sales revenues

● Is deeply networked with large clients, media / ad agencies in the region

● Is an excellent communicator and operates with lot of trust and confidence

● Strategically views the marketplace, analyzes opportunities and successfully manages the growth of a profitable content business

● Wants to make an impact with work and right attitude

● Is a team player

1. As a part of ISA ERP development team Develop, test and implement scalable, maintainable, well documented, high-quality MVC / Web Application for Manufacturing or service industry.

2. The individual should have a good understanding of the Microsoft .NET Platform and MS SQL server and Stored procedures

3. Ensure adherence to standards of best engineering practice (code reviews, source code management, unit testing, etc.)

4. Help junior members in the team to get them up to speed and train them in coding practices.

Hi All,

Greetings from LMV Financial Services Pvt. Ltd.!!!

We are hiring for Life Insurance Manager Profile .

Location- Banglore,Chennai, Vizag,Vijaywada,Anantpur,Rajamundra,Mysore,Mumbai & Pune Location.

Candidate must have prior working experiance in the same domain .

Must have handled or connections with multiple Agency Chennal.

Can able to work in open Market for Corporate DSA.

Salary- Based on Privious Package +Hike

POSITION: SAP IN OIL & GAS

CSA - U2VCYT  & U2VCYV 

Relevant years of Experience: 6- 8 years of experience in IS Oil

NP- IMMEDIATE JOINER

WORK FROM OFFICE / REMOTE

LOCATION: PAN INDIA

Mandatory Skills for screening:-Good in configuration/ blueprinting/ understanding the process flow in SAP IS OIL & GAS downstream scenario mapping.

Good to have (Not Mandatory): ABAP debugging

Detailed Job Description: The candidate should have 6 to 8 yrs of SAP IS Oil experience and worked on at least two implementation projects. Should be very conversant with Oil downstream processes. Capable of taking part in blueprinting workshops with clients and ready to work hands-on in Configuration, Integration testing, UAT etc. Should also know the SAP Logistics area.

• Design and Build sophisticated and highly scalable apps using flutter.
• Build custom packages in Flutter using the functionalities and APIs already available in native Android and IOS.
• Translate and Build the designs and Wireframes into high quality responsive UI code.
• Write efficient queries for core Data.
• Explore feasible architectures for implementing new features.
• Resolve any problems existing in the system and suggest and add new features in the complete system.
• Suggest space and time efficient Data Structures.
• Follow the best practices while developing the app and also keeping everything structured and well documented.
• Document the project and code efficiently.
• Manage the code and project on Git in order to keep in sync with other team members and managers.
• Interact with the Product Manager to help understand end-user feedback.
• Ensure security guidelines are always followed while developing the app.
• Suggest new features and/or enhancements.
• Maintain software through product lifecycle including design, development, verification and bug fixes.
• Resolve all the bugs in a timely manner.
• Execute app verification protocol.
• Follow company policies and quality procedures to ensure quality product deliverables.
• If you have experience with Bluetooth Low Energy (BLE) based devices and related applications please highlight the same in your resume

We are looking for experienced and entrepreneurial product leaders with a “co-founder” mindset,to help build and scale a world-class product organization in Bangalore. If you are excited about fintech, zero to one products, working with and learning from a phenomenal team of product,engineering, research, design, operations, and business leaders, this is the role for you.


KEY ACCOUNTABILITIES & RESPONSIBILITIES
- Ideal product manager will be passionate and will deliver an unparalleled customer and user experience
- The product manager would stand for customers and identify key insights from customer research, interviews, surveys etc.
- The product manager will create a strategy and bottom up roadmap with ruthless prioritization to lead an area end to end within the product org
- The product manager will hustle and do whatever it takes to get things done

- Ship fast without sacrificing quality (MVP driven approach); then leverage data and feedback for iterations
- The product manager will own the go to market of the product, will measure the impact of the various products that are launched

- Align key stakeholders on the problem, solution, setting expectation and communicate effectively

- Must be an innovative, strategic thinker and must be able to work in a fast-paced dynamic environment with changing priorities

PROFESSIONAL EXPERIENCE/ QUALIFICATIONS
The ideal candidate profile will be:
- Overall experience of 5+ yrs with at least 3+ yrs in product management in a tech-led company (consumer internet space is preferred)
- Exceptional problem-solving skills based on first principles thinking 

- Have solved complex & ambiguous problem at scale to create significant impact
- Adopt a structured approach to identify what problems need to be solved and break them down into smaller chunks
- Strong analytical and quantitative skills with the ability to use data and metrics to justify requirements, features and drive management of a product.
- Proven ability to deliver first class customer experiences with a deep understanding of UX best practices.
- High attention to detail and proven ability to manage multiple, competing priorities simultaneously with minimal supervision.
- Ability to scale a product post launch and drive adoption, track metrics and plan next steps