assistant manager - operations Jobs in Bangalore India

assistant manager - operations

associate scientist, data sourcing & solutions Jobs in Bangalore India

associate scientist, data sourcing & solutions

associate, ml data operations, go-ai operations Jobs in Bangalore India

associate, ml data operations, go-ai operations

business analyst - data Jobs in Bangalore India

business analyst - data

data scientist-artificial intelligence Jobs in Bangalore India

data scientist-artificial intelligence

associate ml data operations go ai operations

Amazon

<div>
 
 Description
 
 
 
 This team enables automation at Amazon Robotics Fulfillment centers. This team serves Amazon Internal Fulfillment Technologies &amp; Robotics teams by enabling automation, which includes real-time &amp; offline (image/video) data auditing services. One of the key contributions of this team is supporting the fulfillment centers in maintaining inventory accuracy.
 
 
 An Associate in this role is required to watch the video of the stowing action at a fulfillment center, understand it thoroughly and make best use of human judgement in combination with the tools and resources to indicate the activity captured in the video. They are expected to verify or mark the location of product through a tool while maintaining highest level of accuracy. This process helps in maintaining the fulfillment center's stow quality. This is an operational role. Under general supervision, the Associate performs precise and thorough video/image audits with high degree of accuracy and speed, thus aiding defect reduction.
 
 
 Key job responsibilities
 
 
 The Associate has to watch several hundred videos in a shift and provide responses by following goals on accuracy (quality), speed (productivity) and right / acceptable practices. Associates are required to take breaks at the pre-defined slots and ensure 6.8 to 7 hours&rsquo; time per day is spent to answer the videos. Associates who are hired to work from home should maintain (1) dedicated workspace i.e., table, chair &amp; sufficient lighting (2) workspace / work related data shouldn&rsquo;t be accessed by anyone other than employee
 
 
 
 The Candidate Is Expected To Demonstrate
 
 
 
 <ul>
 <li>
 Willingness to work in Non-tech role for contract duration of 6 months
 </li>
 <li>
 Ability to audit image/video/text based Jobs
 </li>
 <li>
 Ability to identify details from blurry, less sharp videos and provide correct response. Requires high level of attention &amp; focus on screen
 </li>
 <li>
 Willingness to work on incremental targets/goals on quality &amp; productivity
 </li>
 <li>
 Fast Pace of implementation &amp; consistent performance
 </li>
 <li>
 Ability to work in rotational shifts (including night shifts), remote teams and exceptionally good team player
 </li>
 <li>
 Readiness to come to office for few days (when required, applicable for associates working from home)
 </li>
 <li>
 Willing to switch ON laptop camera while on virtual meetings.
 
 
 </li>
 </ul>
 A day in the life
 
 
 Associates work in 24x7 environment with rotational shifts. Associates would be working in a 9 hour shift, including pre-scheduled breaks. The shift timings would be subject to change every 3-4 months or as per business requirement. In case associate is working in night shift, night shift allowance will be provided as per applicable Amazon&rsquo;s work policy.
 
 
 Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion.
 
 
 
 About The Team
 
 
 
 Data Auditing Operations team provides human support to Amazon Fulfillment facilities with goal of enabling hands-free active stowing through visual audits on videos/images. Videos with brief duration (typically between 15 and 20seconds) are sent to Operations Team for humans to audit them with information on products being stored at fulfilment centers. For business use, these videos must be thoroughly reviewed and audited using best human judgement. The effectiveness of automated process will be increased by using videos that Associates have audited. This process helps maintaining stow quality at fulfillment center and Associate will be further evaluated for performance improvements/coaching.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Maharashtra - D80
 
 
 Job ID: A2991894
</div>

Associate, ML Data Operations, GO-AI Operations

<div>
 
 Maximize Your Impact with TP
 
 
 
 Welcome to TP, a global hub of innovation and empowerment, where we redefine the future. With a remarkable &euro;10 billion annual revenue and a global team of 500,000 employees serving 170 countries in over 300 languages, we lead in intelligent, digital-first solutions.
 
 
 As a globally certified Great Place to Work in 72 countries, our culture thrives on diversity, equity, and inclusion. We value your unique perspective and believe that your talent is the missing piece that completes our vision for a brighter, digitally driven tomorrow.
 
 
 
 The Opportunity
 
 
 
 TP.ai Data Services partners with the world&rsquo;s leading technology companies to design, build, and scale trustworthy AI systems. We deliver high-quality, multi-modal data solutions that fuel innovations in Generative AI, Computer Vision, NLP, RLHF, and Trust &amp; Safety. Our mission is to ensure AI systems are not only high-performing but also responsible, reliable, and ready for global scale.
 
 
 We are seeking a Data Scientist (AI/ML Ops) to take a central role in shaping how AI models are operationalized and brought to life at scale. In this role, you will design, implement, and optimize advanced data pipelines, model evaluation frameworks, and monitoring processes that ensure AI systems are trained and deployed with accuracy, efficiency, and compliance. You&rsquo;ll apply your expertise in data science and ML operationalization to create automated feedback loops, establish robust evaluation metrics, and drive continuous improvement across the AI lifecycle.
 
 
 This is a high-impact opportunity to work on frontier AI initiatives with global reach, partnering directly with leading Big Tech enterprises. You will collaborate closely with Data Engineers, AI Researchers, IT, and Product Teams to translate complex business challenges into data-driven solutions, while influencing best practices in Responsible AI and MLOps. Beyond building pipelines and models, you&rsquo;ll help define the standards for how safe, scalable, and trustworthy AI systems are delivered worldwide.
 
 
 
 The Responsibilities &amp; Duties
 
 
 
 <ul>
 <li>
 Design data preprocessing pipelines for multi-modal datasets (text, audio, video, images).
 </li>
 <li>
 Engineer features and transformations for model training, fine-tuning, and evaluation.
 </li>
 <li>
 Apply data augmentation, synthetic data generation, and bias mitigation techniques.
 </li>
 <li>
 Develop and evaluate ML models for classification, ranking, clustering, and anomaly detection tailored to operational use cases.
 </li>
 <li>
 Expertise in power analysis, significance testing, and advanced methods such as bootstrapping and Bayesian inference.
 </li>
 <li>
 Create offline/online evaluation metrics (accuracy, F1, precision/recall, latency, fairness metrics) to track model performance.
 </li>
 <li>
 Support RLHF pipelines by integrating human feedback into model optimization loops.
 </li>
 <li>
 Collaborate with engineering teams to integrate models into production pipelines.
 </li>
 <li>
 Design automated monitoring, retraining triggers, and continuous improvement loops to maintain model quality in dynamic environments.
 </li>
 <li>
 Build dashboards and reporting frameworks for real-time monitoring of model and data health.
 </li>
 <li>
 Define labeling strategies, taxonomy structures, and annotation guidelines for supervised learning.
 </li>
 <li>
 Partner with annotation platforms to ensure accuracy, throughput, and SLA compliance.
 </li>
 <li>
 Perform statistical quality checks (inter-annotator agreement, sampling-based audits).
 </li>
 <li>
 Partner with clients, product teams, and operations leads to translate business problems into data/ML solutions.
 </li>
 <li>
 Work with Legal/Privacy teams to ensure datasets meet regulatory and ethical AI standards.
 </li>
 <li>
 Contribute to internal best practices, reusable frameworks, and knowledge bases for AI/ML Operations.
 
 
 </li>
 </ul>
 
 The Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Data Science, Applied Mathematics, or related fields.
 </li>
 <li>
 5+ years of experience in ML/AI data science with a focus on operational deployment.
 </li>
 <li>
 Track record of delivering ML models into production environments at scale.
 </li>
 <li>
 Programming: Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow), SQL.
 </li>
 <li>
 ML Techniques: Supervised/unsupervised learning, NLP, CV, RLHF.
 </li>
 <li>
 MLOps Tools: MLflow, Kubeflow, SageMaker, Vertex AI, or similar.
 </li>
 <li>
 Data Handling: Spark, Dataflow, or equivalent big data frameworks.
 </li>
 <li>
 Visualization &amp; Reporting: Tableau, Looker, or similar BI tools.
 </li>
 <li>
 Experience with Generative AI model evaluation (LLMs, diffusion models).
 </li>
 <li>
 Knowledge of Responsible AI frameworks (bias/fairness metrics, explainability).
 </li>
 <li>
 Exposure to Trust &amp; Safety operations or high-volume data environments.
 
 
 </li>
 </ul>
 
 Pre-Employment Screenings
 
 
 
 By TP policy, employment in this position will be contingent on your successful completion and passage of a comprehensive background check, including global sanctions and watch list screening.
 
 
 
 Important | Policy on Unsolicited Third-Party Candidate Submissions
 
 
 
 TP does not accept candidate submissions from unsolicited third parties, including recruiters or headhunters. Applications will not be considered, and no contractual association will be established through such submissions.
 
 
 
 Diversity, Equity &amp; Inclusion
 
 
 
 At TP, we are committed to fostering a diverse, equitable, and inclusive workplace. We welcome individuals from all backgrounds and lifestyles and do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or other differences.
 
 
</div>

Data Scientist

SatSure

<div>
 
 We are looking for an
 
 Associate Product Manager &ndash; Data Products
 
 who is passionate about building data-driven solutions from the ground up. This role is ideal for someone who thrives in 0-to-1 journeys, is comfortable working with statistics, and can drive rapid prototyping alongside clients to discover product-market fit (PMF).
 
 
 
 
 
 
 
 About SatSure:
 
 
 
 
 SatSure is a Series A+ startup working at the intersection of space technology, remote sensing, and AI/Computer Vision. We solve critical problems in financial inclusion for smallholder farmers, climate sustainability, and infrastructure asset monitoring. With a growing team of 150+ dreamers, our vision is to build a global satellite company that pushes the boundaries of what data from space can achieve for people and businesses on Earth.
 
 
 There is no playbook yet for scaling a company like ours from 50 to 500 enterprise customers&mdash;but we are writing it, and you could be part of it.
 
 
 
 
 
 
 
 Role:
 
 
 
 
 You will collaborate with business teams to scale solutions in specific customer segments, and work closely with data scientists to define success criteria and shape product roadmaps. While experiment design is primarily the responsibility of Data Science Managers (DSMs), you will work hand-in-hand with them to align product decisions with modelling approaches and data exploration.
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 
 
 Driving Product-Market Fit problem statements
 
 
 <ul>
 <li>
 Lead 0-to-1 product discovery journeys to identify and validate customer problems and PMF.
 </li>
 <li>
 Engage with clients in specific segments to prototype rapidly and co-create solutions.
 </li>
 <li>
 Evolve prototypes into scalable, common data product roadmaps.
 </li>
 <li>
 Apply first-principles thinking and high agency in problem-solving.
 </li>
 </ul>
 
 
 Collaboration with Data Science
 
 
 <ul>
 <li>
 Work closely with Data Science teams to iterate through experiments.
 </li>
 <li>
 Support DSMs in defining modelling success criteria while they decide on modelling approaches, sensor data, and feature exploration.
 </li>
 <li>
 Partner with data scientists to monitor model and product performance against defined criteria.
 </li>
 </ul>
 
 
 Product Development &amp; Roadmap
 
 
 <ul>
 <li>
 Translate early prototypes into structured product backlogs and incremental releases.
 </li>
 <li>
 Prioritize trade-offs between features, customer needs, and product scalability.
 </li>
 <li>
 Ensure continuous feedback loops with clients to refine MVPs and align with long-term product strategy.
 </li>
 </ul>
 
 
 Driving Market &amp; Business Success
 
 
 <ul>
 <li>
 Collaborate with business teams to help scale offerings within different customer segments.
 </li>
 <li>
 Contribute to GTM (go-to-market) strategies alongside marketing and sales teams.
 </li>
 <li>
 Ensure responsible AI practices and ethical data usage in product development.
 </li>
 </ul>
 
 
 
 
 
 
 Qualification:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in technology, statistics, or a related field.
 </li>
 <li>
 1&ndash;2 years of product management, business analysis, or equivalent experience (internships or early-career roles welcome).
 </li>
 </ul>
 
 
 
 
 
 
 Must Have:
 
 
 
 <ul>
 <li>
 Strong comfort with statistics and data analysis to inform product decisions.
 </li>
 <li>
 High agency and first-principles thinking in approaching problems.
 </li>
 <li>
 Ability to work with rapid prototyping cycles and co-create solutions with clients. Excellent communication, interpersonal, and stakeholder management skills.
 </li>
 </ul>
 
 
 
 
 
 
 Good to Have:
 
 
 
 <ul>
 <li>
 Exposure to working with multimodal data (e.g., sensor, geospatial, text, imagery). Research background or interest in data science approaches for product development.
 </li>
 <li>
 Familiarity with AI/ML concepts, experiment design, or data products.
 </li>
 </ul>
 
 
 
 
 
 
 Benefits:
 
 
 
 <ul>
 <li>
 Opportunity to contribute to building futuristic data products at the intersection of AI and space technology.
 </li>
 <li>
 Flat organizational structure with strong values of empathy, problem-solving, integrity, customer focus, and ownership.
 </li>
 <li>
 Learning and skill development allowances, broadband and remote work support, medical insurance, and more.
 </li>
 <li>
 Medical Health Cover for you and your family, including unlimited online doctor consultations
 </li>
 <li>
 Access to mental health experts for you and your family
 </li>
 <li>
 Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, and bereavement leaves
 </li>
 <li>
 Twice a year appraisal
 </li>
 </ul>
 
 
 
 
 
 
 Interview Process:
 
 
 
 <ul>
 <li>
 Intro call
 </li>
 <li>
 Case study
 </li>
 <li>
 Interview rounds (ideally up to 3-4 rounds)
 </li>
 <li>
 Culture Round / HR round
 </li>
 </ul>
</div>

Associate Product Manager

<div>
 
 Introduction
 
 
 
 A career in IBM Software means you&rsquo;ll be part of a team that transforms our customer&rsquo;s challenges into solutions.
 
 
 Seeking new possibilities and always staying curious, we are a team dedicated to creating the world&rsquo;s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.
 
 
 We are seeking a skilled Software Engnineer to join our IBM Software team. As part of our team, you will be responsible for developing and maintaining high-quality software products, working with a variety of technologies and programming languages.
 
 
 IBM&rsquo;s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.
 
 
 IBM Software infuses core business operations with intelligence&mdash;from machine learning to generative AI&mdash;to help make organizations more responsive, productive, and resilient.
 
 
 IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge.
 
 
 IBM&rsquo;s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business.
 
 
 IBM&rsquo;s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments&mdash;a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.
 
 
 
 Your Role And Responsibilities
 
 
 
 We are seeking skilled software engineers to join our team with a focus on design, automation and building robust systems that involve C and Python skills. As a Software Developer you will participate in many aspects of the SDLC by adopting Agile methodology while working closely with design and development teams. This role also demands experience of software deployment on Linux and work collaboration with DevOps teams to implement and enhance CI/CD pipelines. Strong experience with integration technologies such as SAML/SSO, REST API&rsquo;s will be a plus. This role also requires to develop tools and scripts that enable us to rapidly iterate, test, and deploy applications across diverse environments.
 
 
 We are looking for someone enthusiastic about product quality and new
 
 
 technology. Candidates with strong programming, debugging, and
 
 
 troubleshooting skills are needed to excel in this position.
 
 
 
 Preferred Education
 
 
 
 Bachelor's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Minimum 5+ years of Software Development experience with a strong expertise in programming languages namely C, Python and Java
 </li>
 <li>
 Bash/Shell Scripting
 </li>
 <li>
 AI &amp; ML skills namely NLP, LLM and frameworks PyTorch, TensorFlow, or ONNX
 </li>
 <li>
 Build tools like Ant, Maven
 </li>
 <li>
 Experience with Linux / Cent OS / RHEL
 </li>
 <li>
 System Design
 </li>
 <li>
 DevOps, CI/CD Pipelines, REST APIs, Containerization Architecture
 </li>
 <li>
 Experience on Design patterns and Optimization
 </li>
 <li>
 DBMS Skills (SQL &amp; NoSQL)
 </li>
 <li>
 SQL Data Insights
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 IBM AI Models namely watsonx
 </li>
 <li>
 IBM Cloud
 </li>
 <li>
 Testing Frameworks (C, Python)
 </li>
 <li>
 Github
 </li>
 <li>
 JFROG Artifactories
 </li>
 <li>
 Jupyter notebook
 </li>
 </ul>
</div>

Software Developer

Meril

<div>
 
 
 About the Role
 
 
 
 As a
 
 Quantitative Data Engineer
 
 , you will be the backbone of the data ecosystem powering our
 
 quantitative research, trading, and AI-driven strategies
 
 . You will design, build, and maintain the
 
 high-performance data infrastructure
 
 that enables low-latency, high-fidelity access to market, fundamental, and alternative data across multiple asset classes.
 
 
 This role bridges
 
 quant engineering, data systems, and research enablement
 
 , ensuring that our researchers and traders have fast, reliable, and well-documented datasets for analysis and live trading. You&rsquo;ll be part of a cross-functional team working at the intersection of
 
 finance, machine learning, and distributed systems
 
 .
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 
 Architect and maintain scalable ETL pipelines
 
 for ingesting and transforming terabytes of structured, semi-structured, and unstructured market and alternative data.
 </li>
 <li>
 
 Design time-series optimized data stores
 
 and
 
 streaming frameworks
 
 to support low-latency data access for both backtesting and live trading.
 </li>
 <li>
 
 Develop ingestion frameworks
 
 integrating vendor feeds (Bloomberg, Refinitiv, Polygon, Quandl, etc.), exchange data, and internal execution systems.
 </li>
 <li>
 
 Collaborate with quantitative researchers and ML teams
 
 to ensure data accuracy, feature availability, and schema evolution aligned with modeling needs.
 </li>
 <li>
 
 Implement data quality checks, validation pipelines, and version control mechanisms
 
 for all datasets.
 </li>
 <li>
 
 Monitor and optimize distributed compute environments
 
 (Spark, Flink, Ray, or Dask) for performance and cost efficiency.
 </li>
 <li>
 
 Automate workflows
 
 using orchestration tools (Airflow, Prefect, Dagster) for reliability and reproducibility.
 </li>
 <li>
 
 Establish best practices
 
 for metadata management, lineage tracking, and documentation.
 </li>
 <li>
 
 Contribute to internal libraries and SDKs
 
 for seamless data access by trading and research applications.
 </li>
 </ul>
 
 
 In Trading Firms, Data Engineers Typically:
 
 
 <ul>
 <li>
 Build
 
 real-time data streaming systems
 
 to capture market ticks, order books, and execution signals.
 </li>
 <li>
 Manage
 
 versioned historical data lakes
 
 for backtesting and model training.
 </li>
 <li>
 Handle
 
 multi-venue data normalization
 
 (different exchanges and instruments).
 </li>
 <li>
 Integrate
 
 alternative datasets
 
 (satellite imagery, news sentiment, ESG, supply-chain data).
 </li>
 <li>
 Work closely with
 
 quant researchers
 
 to convert raw data into
 
 research-ready features
 
 .
 </li>
 <li>
 Optimize pipelines for
 
 ultra-low latency
 
 where milliseconds can impact P&amp;L.
 </li>
 <li>
 Implement
 
 data observability frameworks
 
 to ensure uptime and quality.
 </li>
 <li>
 Collaborate with
 
 DevOps and infra engineers
 
 to scale storage, caching, and compute.
 </li>
 </ul>
 
 
 Tech Stack
 
 
 <ul>
 <li>
 
 Languages:
 
 Python, SQL, Scala, Go, Rust (optional for HFT pipelines)
 </li>
 <li>
 
 Data Processing:
 
 Apache Spark, Flink, Ray, Dask, Pandas, Polars
 </li>
 <li>
 
 Workflow Orchestration:
 
 Apache Airflow, Prefect, Dagster
 </li>
 <li>
 
 Databases &amp; Storage:
 
 PostgreSQL, ClickHouse, DuckDB, ElasticSearch, Redis
 </li>
 <li>
 
 Data Lakes:
 
 Delta Lake, Iceberg, Hudi, Parquet
 </li>
 <li>
 
 Streaming:
 
 Kafka, Redpanda, Pulsar
 </li>
 <li>
 
 Cloud &amp; Infra:
 
 AWS (S3, EMR, Lambda), GCP, Azure, Kubernetes
 </li>
 <li>
 
 Version Control &amp; Lineage:
 
 DVC, MLflow, Feast, Great Expectations
 </li>
 <li>
 
 Visualization / Monitoring:
 
 Grafana, Prometheus, Superset, DataDog
 </li>
 <li>
 
 Tools for Finance:
 
 kdb+/q (for tick data), InfluxDB, QuestDB
 </li>
 </ul>
 
 
 What You Will Gain
 
 
 <ul>
 <li>
 
 End-to-end ownership
 
 of core data infrastructure in a high-impact, mission-critical domain.
 </li>
 <li>
 Deep exposure to
 
 quantitative research workflows
 
 ,
 
 market microstructure
 
 , and
 
 real-time trading systems
 
 .
 </li>
 <li>
 
 Collaboration with elite quantitative researchers, traders, and ML scientists.
 
 </li>
 <li>
 Hands-on experience with
 
 cutting-edge distributed systems
 
 and
 
 time-series data technologies
 
 .
 </li>
 <li>
 A culture that emphasizes
 
 technical excellence, autonomy, and experimentation.
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in
 
 Computer Science, Data Engineering, or related field.
 
 </li>
 <li>
 
 2+ years
 
 of experience building and maintaining
 
 production-grade data pipelines
 
 .
 </li>
 <li>
 Proficiency in
 
 Python
 
 ,
 
 SQL
 
 , and frameworks like
 
 Airflow
 
 ,
 
 Spark
 
 , or
 
 Flink
 
 .
 </li>
 <li>
 Familiarity with
 
 cloud storage and compute (S3, GCS, EMR, Dataproc)
 
 and
 
 versioned data lakes (Delta, Iceberg)
 
 .
 </li>
 <li>
 Experience with
 
 financial datasets
 
 ,
 
 tick-level data
 
 , or
 
 high-frequency time series
 
 is a strong plus.
 </li>
 <li>
 Strong understanding of
 
 data modeling, schema design, and performance optimization
 
 .
 </li>
 <li>
 Excellent communication skills with an ability to support
 
 multidisciplinary teams
 
 .
 </li>
 </ul>
 
 
</div>

Data Engineer – Financial Infrastructure & Analytics

Joveo

<div>
 
 
 About Joveo
 
 
 
 At Joveo, our mission is to deliver the right job to everyone in the world. We're the global leader in programmatic job advertising, building a new generation of recruitment technology. Our platform, backed by marquee investors like Nexus Venture Partners and celebrated on the Inc. 5000 list, is changing how employers find talent.
 
 
 Our secret sauce? We are building and deploying
 
 state-of-the-art generative AI products, including intelligent multimodal chatbots, screening solutions and GenAI native applications that are seeing mass production adoption.
 
 To do this, we need exceptional engineers to build the robust, scalable, and resilient systems that bring AI to life.
 
 
 
 
 
 
 The Role: The Engineer Behind the AI
 
 
 
 This is an opportunity for a brilliant backend engineer to step into the world of AI. We're looking for a systems thinker with a passion for building rock-solid software and a deep curiosity to tackle new challenges. You will be the architect and builder of the services that power our most innovative AI features.
 
 
 Your core strength is your engineering prowess. Your mission will be to apply that strength to the unique and fascinating problems of production-grade AI. You won't be siloed; you will have complete ownership of your projects, from a blank editor to a running service in production.
 
 
 
 
 
 
 What You'll Do:
 
 
 <ul>
 <li>
 
 Build Production Systems:
 
 Architect, build, deploy, and operate highly scalable and available backend services that power our AI applications.
 </li>
 <li>
 
 Full End-to-End Ownership:
 
 You build it, you run it. Take ownership of the entire development lifecycle, including design, implementation, testing, deployment (CI/CD), and monitoring. You won't be handing your code off to someone else to ship.
 </li>
 <li>
 
 Solve Novel Problems:
 
 Apply your first-principles of engineering to the unique challenges of generative AI, such as managing state in conversational systems, optimizing for LLM latency, and ensuring data consistency.
 </li>
 <li>
 
 Embrace Ambiguity:
 
 Thrive in a fast-paced environment where you are empowered to define the path forward, make key technical decisions, and turn ambiguous product ideas into concrete, shippable solutions.
 </li>
 <li>
 
 Learn and Innovate:
 
 Dive headfirst into the modern AI stack. While you bring the engineering rigor, you'll have the opportunity to learn and work with LLMs, vector databases, evals and AI frameworks on the job.
 </li>
 <li>
 
 Collaborate for Impact:
 
 Work in a tight-knit team with product managers (or without, if you prefer!) and other elite engineers to build solutions that directly impact our customers and our bottom line.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For (The Ideal Candidate):
 
 
 
 You are a builder at heart. You find joy in creating elegant, efficient, and reliable systems and are excited by the prospect of learning a new domain.
 
 <ul>
 <li>
 
 Elite Backend Engineering:
 
 3+ years of experience building and operating complex, scalable, and high-performance backend systems. You have a strong grasp of distributed systems, API design, and software architecture.
 </li>
 <li>
 
 Strong Programming Foundation:
 
 Deep proficiency in a systems language like
 
 Python
 
 or
 
 Java
 
 . You write clean, maintainable, and well-tested code. (Experience with Python is a strong plus).
 </li>
 <li>
 
 A Fierce Curiosity &amp; Rapid Learning Ability:
 
 This is non-negotiable.
 
 Prior professional experience with LLMs is NOT required.
 
 What is mandatory is a demonstrated passion for learning, a history of quickly mastering new technologies, and a genuine excitement to become an expert in the AI/ML space.
 </li>
 <li>
 
 The Ownership Mindset:
 
 You are a self-starter who is comfortable with ambiguity and enjoys the freedom and responsibility of a startup environment. You have extensive experience working in large codebases and are skilled at navigating cross-functional dependencies.
 </li>
 <li>
 
 Pragmatic and Driven:
 
 You have a strong sense of urgency and an ability to deliver high-quality, pragmatic solutions quickly without sacrificing long-term stability.
 </li>
 </ul>
 
 
 
 
 
 Why You&rsquo;ll Love This Role at Joveo:
 
 
 <ul>
 <li>
 
 The Perfect Launchpad into AI:
 
 This is your chance to pivot into the most exciting field in technology. Leverage your elite engineering skills as a foundation and let us provide the problems, mentorship, and environment for you to become an expert in production AI.
 </li>
 <li>
 
 Build Things That Matter:
 
 The systems you build will be the backbone of products used by millions, directly helping people find jobs.
 </li>
 <li>
 
 Radical Ownership:
 
 Forget bureaucracy. You will have the autonomy to make critical decisions and see your work go live in production, fast.
 </li>
 <li>
 
 A Culture of Builders:
 
 Join a world-class team of pragmatic and passionate engineers and entrepreneurs who are focused on solving real-world problems.
 </li>
 </ul>
</div>

Software Development Engineer II (AI Engg)

Lenovo

<div>
 We are Lenovo. We do what we say. We own what we do. We WOW our customers.
 
 
 Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
 
 
 This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
 
 
 
 Job Objective
 
 
 
 As Operations Manager, you will have the responsibility to manage services for the Lenovo Support operations in India.
 
 
 You will work closely with multiple service delivery teams to ensure team delivers overall best in class service and support to our customers.
 
 
 
 Responsibilities
 
 
 
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 Be a Game changer for Lenovo Customers with Lenovo Warranty
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 Lead the team of high performing individuals to meet the defined service levels like AHT, Abandonment Rate, SLA%, Average Speed to Answer etc
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 Develop improvement plans to meet exceed Customer Experience objectives
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 Manage key qualitative metric like First Call Resolution, Repeat Dispatch Rates, Fix on Phone, Turnaround Time.
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 Plan Capacity, Hiring and Training with Business Operations to optimize headcount requirements.
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 Interface with the other service towers and directly with the customer base on critical escalations and call resolution
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 Design, develop, and implement processes, systems, to support and enhance the technical support function.
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 Develop and implement practices that measure the effectiveness and performance of the Technical Support Function
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 Focus on Individual development of team members, including technical skill and professional development.
 
 
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 Specifications And Requirements
 
 
 
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 Full time- Bachelor's Degree with7-10 years of experience in the IT service industry with a minimum of 6 years in technical support management.
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 Background in development and management of remote support groups
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 Experience in managing both voice non voice processes.
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 Knowledge or understanding of Gaming HW products.
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 Key functional/technical competencies:
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 Good Knowledge on technical troubleshooting
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 Understands current notebook technologies and ability to explain to customers and team members.
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 Extensive expertise in developing metrics to measure the effectiveness of technical support
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 Familiarity with operations and management environments within large enterprise customers and/or service providers is desirable
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 Familiarity with MSD(CRM) or incident tracking and management systems.
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 Knowledge of Mailbox management systems such as Oracle Right now
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 Track record of accomplishment and effectiveness within organizations
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 Desire to work in a fast-paced, challenging environment
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 Experience in a highly analytical, results-oriented environment.
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 Proven analytical skills and demonstrated ability to manage the business &ldquo;by the numbers&rdquo;. Must be metric driven.
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 Attention to detail and capability to work on multiple projects in parallel
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 Good written and oral communications and interpersonal skills
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 Key Behavioral competencies:
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 Demonstrated high levels of customer focus.
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 Demonstrated highest level of integrity, honesty, and strong work ethic.
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 Sharp, analytical, and thoughtful. Thoroughly thinks through problems to come up with solutions.
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 Proven ability to successfully thrive in an ambiguous environment and changing conditions.
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 Takes initiative. Doesn't want to be asked. Plans efficiently while avoiding analysis paralysis.
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 Consistent effort, intense commitment, and willingness to go above and beyond when needed.
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 Strong team player, acts like an owner, and ultimately focused on delivering results with high standards.
 
 
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 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
 
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Assistant Operations Manager- Contact Center.

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