11+ Production engineering Jobs in Hyderabad | Production engineering Job openings in Hyderabad

We are looking for an experienced and dynamic Head – Aerospace Production to lead our Production Planning, Project Management, and Manufacturing Operations for aerospace and defence programs. The ideal candidate will be responsible for end-to-end execution of customer orders from production planning to final delivery, ensuring projects are completed on time, within budget, and in compliance with stringent aerospace quality standards. The role demands strong leadership, cross-functional coordination, and the ability to drive operational excellence in a high-precision manufacturing environment.

Key Responsibilities:

• Lead end-to-end production planning, scheduling, and execution for aerospace and defence manufacturing programs.
• Prepare and monitor master production schedules, monthly, weekly, and daily production plans based on customer commitments and project priorities.
• Manage multiple customer projects simultaneously, ensuring timely execution from order receipt to dispatch.
• Coordinate closely with Design, Procurement, Supply Chain, Stores, Quality, and Manufacturing teams to ensure smooth project execution.
• Plan machine loading, manpower allocation, and capacity utilization to maximize plant productivity and eliminate bottlenecks.
• Ensure timely availability of raw materials, bought-out components, and subcontracted activities through effective coordination with procurement and supply chain teams.
• Monitor production progress, identify schedule deviations, and implement corrective actions to achieve committed delivery timelines.
• Conduct regular production and project review meetings, monitor key milestones, and proactively manage project risks.
• Drive on-time customer deliveries while maintaining high standards of quality, productivity, and cost efficiency.
• Monitor Work-in-Progress (WIP), inventory levels, and manufacturing performance to optimize working capital and improve operational efficiency.
• Lead continuous improvement initiatives through Lean Manufacturing, 5S, Kaizen, and process optimization techniques.
• Ensure compliance with AS9100, ISO standards, aerospace quality requirements, and customer-specific manufacturing procedures.
• Develop and monitor operational KPIs including On-Time Delivery (OTD), Schedule Adherence, Production Efficiency, Capacity Utilization, Inventory Turns, and Manufacturing Cost.
• Prepare and present production dashboards, MIS reports, project status updates, and operational reviews to senior management.
• Build, mentor, and lead high-performing production planning and project management teams while fostering a culture of accountability, safety, quality, and continuous improvement.

Required Qualifications & Experience:

• Bachelor's degree in Mechanical, Production, Aerospace Engineering, or a related discipline. A Master's degree or MBA in Operations/Project Management is an added advantage.
• Minimum 15–20 years of experience in Aerospace, Defence, Aviation, Precision Engineering, or High-End Manufacturing, with at least 5 years in a leadership role.
• Strong expertise in Production Planning & Control (PPC), Project Management, Manufacturing Operations, Capacity Planning, Material Requirement Planning (MRP), and ERP systems (SAP/Oracle/MS Dynamics or equivalent).
• Proven experience in managing complex manufacturing projects, customer deliveries, cross-functional teams, and high-precision production environments.
• Excellent leadership, analytical, problem-solving, communication, and stakeholder management skills.

Why Join Us?

Join a fast-growing aerospace and defence manufacturing company working on cutting-edge programs across Aerospace, Defence, Space, Naval, and Export markets. This is an opportunity to lead critical manufacturing operations, build world-class production systems, and play a key role in the company's growth and transformation.

Strong Snowflake Data Architect profile (Cloud Data Platform / AI-led Data Transformation)

Mandatory (Experience 1) – Must have 8+ years of experience in Data Engineering / Data Architecture, with strong focus on building enterprise-scale data platforms

Mandatory (Experience 2) – Must have 3+ years of deep hands-on experience in Snowflake architecture, including designing and implementing scalable data warehouse solutions

Mandatory (Experience 3) – Strong expertise in Snowflake features including Resource Monitors, RBAC, Virtual Warehouses, Time Travel, Zero Copy Clone, and query performance optimization

Mandatory (Experience 4) – Proven experience building and managing data ingestion pipelines using Snowpipe, handling structured, semi-structured (JSON, XML), and columnar data formats (Parquet)

Mandatory (Experience 5) – Strong experience in cloud ecosystem, preferably AWS, including S3, Lambda, EC2, Redshift, and integration with Snowflake-based architectures

Mandatory (Experience 6) – Proven experience in migrating data from on-premise or legacy systems to Snowflake, including data modeling, transformation, and validation

Mandatory (Experience 7) – Hands-on experience in SQL, SnowSQL, Python, or PySpark for data transformation, automation, and monitoring

Mandatory (Experience 8) – Experience in data modeling, partitioning, micro-partitions, and re-clustering strategies in Snowflake

Mandatory (Experience 9) – Must have experience working in client-facing or consulting roles, including requirement gathering, solution design, and stakeholder communication

Mandatory (Skill 1) – Strong understanding of end-to-end data architecture including ETL/ELT pipelines, data lakes, and warehouse integration

Mandatory (Skill 2) – Experience in designing monitoring and automation frameworks using Python, Bash, or similar tools

Mandatory (Skill 3) – Ability to translate business requirements into scalable technical solutions and define future-state data architecture roadmaps

Mandatory (Note) – Only immediate joiners or candidates who can join within 15 days

Senior Software Engineer (Backend) – Credit Cards Platform

Experience required - 5+ years

Job Location - Hyderabad & Ahmedabad

What you'll do:

· Perform complex application programming activities with an emphasis on mobile development: Node.js, TypeScript, JavaScript, RESTful APIs and related backend frameworks

· Assist in the definition of system architecture and detailed solution design that are scalable and extensible

· Collaborate with Product Owners, Designers, and other engineers on different permutations to find the best solution possible

· Own the quality of code and do your own testing. Write unit test and improve test coverage.

· Deliver amazing solutions to production that knock everyone’s socks off

· Mentor junior developers on the team

What we’re looking for:

· Amazing technical instincts. You know how to evaluate and choose the right technology and approach for the job. You have stories you could share about what problem you thought you were solving at first, but through testing and iteration, came to solve a much bigger and better problem that resulted in positive outcomes all-around.

· A love for learning. Technology is continually evolving around us, and you want to keep up to date to ensure we are using the right tech at the right time.

· A love for working in ambiguity—and making sense of it. You can take in a lot of disparate information and find common themes, recommend clear paths forward and iterate along the way. You don’t form an opinion and sell it as if it’s gospel; this is all about being flexible, agile, dependable, and responsive in the face of many moving parts.

· Flexible and willing to accept change in priorities, as necessary

· Demonstrable passion for technology (e.g., personal projects, open-source involvement)

· Enthusiastic embrace of DevOps culture and collaborative software engineering

· Ability and desire to work in a dynamic, fast paced, and agile team environment

· Enthusiasm for cloud computing platforms such as AWS or Azure

· Excellent written and verbal communications skills

Preferred Qualifications:

· Experience with Apache Cordova framework

· Demonstrable knowledge of native coding background in iOS, Android

· Experience developing and deploying applications within Kubernetes based containers

· Experience in Agile and SCRUM development techniques

We are seeking an experienced AI Architect to design, build, and scale production-ready AI voice conversation agents deployed locally (on-prem / edge / private cloud) and optimized for GPU-accelerated, high-throughput environments.

You will own the end-to-end architecture of real-time voice systems, including speech recognition, LLM orchestration, dialog management, speech synthesis, and low-latency streaming pipelines—designed for reliability, scalability, and cost efficiency.

This role is highly hands-on and strategic, bridging research, engineering, and production infrastructure.

Key Responsibilities

Architecture & System Design

• Design low-latency, real-time voice agent architectures for local/on-prem deployment
• Define scalable architectures for ASR → LLM → TTS pipelines
• Optimize systems for GPU utilization, concurrency, and throughput
• Architect fault-tolerant, production-grade voice systems (HA, monitoring, recovery)

Voice & Conversational AI

• Design and integrate:
• Automatic Speech Recognition (ASR)
• Natural Language Understanding / LLMs
• Dialogue management & conversation state
• Text-to-Speech (TTS)
• Build streaming voice pipelines with sub-second response times
• Enable multi-turn, interruptible, natural conversations

Model & Inference Engineering

• Deploy and optimize local LLMs and speech models (quantization, batching, caching)
• Select and fine-tune open-source models for voice use cases
• Implement efficient inference using TensorRT, ONNX, CUDA, vLLM, Triton, or similar

Infrastructure & Production

• Design GPU-based inference clusters (bare metal or Kubernetes)
• Implement autoscaling, load balancing, and GPU scheduling
• Establish monitoring, logging, and performance metrics for voice agents
• Ensure security, privacy, and data isolation for local deployments

Leadership & Collaboration

• Set architectural standards and best practices
• Mentor ML and platform engineers
• Collaborate with product, infra, and applied research teams
• Drive decisions from prototype → production → scale

Required Qualifications

Technical Skills

• 7+ years in software / ML systems engineering
• 3+ years designing production AI systems
• Strong experience with real-time voice or conversational AI systems
• Deep understanding of LLMs, ASR, and TTS pipelines
• Hands-on experience with GPU inference optimization
• Strong Python and/or C++ background
• Experience with Linux, Docker, Kubernetes

AI & ML Expertise

• Experience deploying open-source LLMs locally
• Knowledge of model optimization:
• Quantization
• Batching
• Streaming inference
• Familiarity with voice models (e.g., Whisper-like ASR, neural TTS)

Systems & Scaling

• Experience with high-QPS, low-latency systems
• Knowledge of distributed systems and microservices
• Understanding of edge or on-prem AI deployments

Preferred Qualifications

• Experience building AI voice agents or call automation systems
• Background in speech processing or audio ML
• Experience with telephony, WebRTC, SIP, or streaming audio
• Familiarity with Triton Inference Server / vLLM
• Prior experience as Tech Lead or Principal Engineer

What We Offer

• Opportunity to architect state-of-the-art AI voice systems
• Work on real-world, high-scale production deployments
• Competitive compensation and equity (if applicable)
• High ownership and technical influence
• Collaboration with top-tier AI and infrastructure talent

Job Description

We are looking for a skilled Workday Integration Analyst to design, develop, and support integrations between Workday and external systems. This role requires strong technical expertise in Workday integration tools, solid analytical skills, and the ability to collaborate effectively with business and technical stakeholders.

Key Responsibilities

• Design, develop, and maintain inbound and outbound integrations using Workday Studio, EIBs, Core Connectors, and Web Services
• Build and support integrations between Workday and third‑party/internal systems
• Monitor integration performance and ensure data accuracy, reliability, and security
• Troubleshoot, analyze, and resolve integration failures and data issues in a timely manner
• Support Workday releases, patches, and updates, ensuring integrations continue to function as expected
• Develop custom reports, including Advanced and Matrix reports, to support business needs
• Gather, analyze, and document business and technical requirements from clients and stakeholders
• Collaborate with functional teams (HCM, Finance, Payroll) to translate requirements into technical solutions
• Prepare technical documentation, integration specifications, and support materials
• Participate in testing activities including unit testing, integration testing, and user acceptance testing (UAT)

Required Skills & Qualifications

Technical Skills

• Hands‑on experience with Workday Integration tools (Studio, EIB, Core Connectors, Web Services)
• Strong understanding of inbound and outbound integration patterns
• Experience creating and maintaining custom and advanced Workday reports
• Knowledge of XML, XSLT, REST/SOAP APIs (preferred)
• Familiarity with Workday HCM and/or Financials modules (preferred)
• Understanding of data security and access controls in Workday

 Soft Skills & Behavioral Competencies

• Strong communication skills — able to clearly explain technical concepts to non‑technical stakeholders
• Excellent stakeholder management and client‑facing skills
• Ability to gather requirements, ask the right questions, and translate business needs into technical solutions
• Strong problem‑solving and analytical mindset
• Team player with the ability to collaborate across functional and technical teams
• Good time management and prioritization skills in a fast‑paced environment
• High level of attention to detail and commitment to quality
• Self‑motivated, adaptable, and eager to learn new Workday features and best practices

Strong Databricks / AWS Data Architect profile

Mandatory (Experience 1) – Must have minimum 5+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives

Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations

Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security

Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns

Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing

Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies

Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management

Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns

Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption

Seeking a detail-oriented Market Research Analyst to conduct surveys and analyze customer preferences and statistical data. Your role will involve providing valuable insights to support customers in their decision-making processes related to product designs, pricing, and promotions. As a successful Market Research Analyst, you will have the ability to independently analyze qualitative data, identify trends, assess strategies, and evaluate competition, with the ultimate goal of enhancing competitiveness. Your responsibilities will include gathering and interpreting market research data, generating reports, and presenting findings to stakeholders. We are looking for a self-motivated professional with strong analytical skills and a deep understanding of market dynamics. Join our team and contribute to our company’s success by helping us make data-driven decisions to optimize our products and strategies.

 Key Responsibilities

• Design and implement ETL/ELT pipelines using Databricks, PySpark, and AWS Glue
• Develop and maintain scalable data architectures on AWS (S3, EMR, Lambda, Redshift, RDS)
• Perform data wrangling, cleansing, and transformation using Python and SQL
• Collaborate with data scientists to integrate Generative AI models into analytics workflows
• Build dashboards and reports to visualize insights using tools like Power BI or Tableau
• Ensure data quality, governance, and security across all data assets
• Optimize performance of data pipelines and troubleshoot bottlenecks
• Work closely with stakeholders to understand data requirements and deliver actionable insights

🧪 Required Skills

Skill AreaTools & TechnologiesCloud PlatformsAWS (S3, Lambda, Glue, EMR, Redshift)Big DataDatabricks, Apache Spark, PySparkProgrammingPython, SQLData EngineeringETL/ELT, Data Lakes, Data WarehousingAnalyticsData Modeling, Visualization, BI ReportingGen AI IntegrationOpenAI, Hugging Face, LangChain (preferred)DevOps (Bonus)Git, Jenkins, Terraform, Docker

📚 Qualifications

• Bachelor's or Master’s degree in Computer Science, Data Science, or related field
• 3+ years of experience in data engineering or data analytics
• Hands-on experience with Databricks, PySpark, and AWS
• Familiarity with Generative AI tools and frameworks is a strong plus
• Strong problem-solving and communication skills

🌟 Preferred Traits

• Analytical mindset with attention to detail
• Passion for data and emerging technologies
• Ability to work independently and in cross-functional teams
• Eagerness to learn and adapt in a fast-paced environment

Primarily we look for below following criteria :

• Good requirement gathering / BA skills
• Experience of Agile framework
• Domain – BFS : Wholesale / Retail etc. 
• Data Analytics & AI, Digital Banking experience