16+ Artificial Intelligence (AI) Jobs in Pune | Artificial Intelligence (AI) Job openings in Pune
Apply to 16+ Artificial Intelligence (AI) Jobs in Pune on CutShort.io. Explore the latest Artificial Intelligence (AI) Job opportunities across top companies like Google, Amazon & Adobe.
Amazon Web Services (AWS)
Docker𝐖𝐞’𝐫𝐞 𝐇𝐢𝐫𝐢𝐧𝐠: 𝐀𝐈-𝐍𝐚𝐭𝐢𝐯𝐞 𝐃𝐞𝐯𝐒𝐞𝐜𝐎𝐩𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬 𝐚𝐭 𝐅𝐥𝐲𝐭𝐁𝐚𝐬𝐞
📍 Location: Pune (Onsite)
This will be one of the most challenging and rewarding roles of your career.
At FlytBase, prompting is thinking. We don’t care if you’ve memorized APIs or collected DevOps certifications.
We care how you think, how you debug under pressure, and how you solve infra problems no one else can.
We don’t hire engineers to maintain systems.
We hire infra architects to design infrastructure that runs—and evolves—on its own.
If you need step-by-step tickets or constant direction—don’t apply.
We’re looking for engineers who can design, secure, and scale real-world systems with speed, clarity, and zero excuses.
If that’s what you’ve been waiting for—read on.
𝐓𝐡𝐞 𝐌𝐢𝐬𝐬𝐢𝐨𝐧
FlytBase is building the autonomous backbone for aerial intelligence—drone fleets that operate 24/7 at industrial scale.
Our platform flies missions, detects anomalies, and delivers insights—with no human in the loop.
The infra behind this? That’s what you build.
𝐘𝐨𝐮𝐫 𝐋𝐨𝐨𝐩
• Design AI-secured CI/CD pipelines (GitHub, Docker, Terraform, SAST/DAST)
• Architect AWS infra (EC2, S3, IAM, VPCs, EKS) with Infrastructure-as-Code
• Build intelligent observability systems (Grafana, Dynatrace, LLM-based detection)
• Define fallback, rollback & recovery loops that don’t need escalation
• Enforce compliance (SOC2, ISO27001, GDPR) without killing velocity
• Own SLAs from definition → delivery → defense
• Automate what used to need a team. Then automate again.
𝐖𝐡𝐨 𝐖𝐞’𝐫𝐞 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐅𝐨𝐫
✅ You treat infrastructure like a product
✅ You already use AI Tools to move 5x faster
✅ You can go from “zero” to “live infra” in 48 hours
𝐁𝐨𝐧𝐮𝐬 𝐩𝐨𝐢𝐧𝐭𝐬 𝐢𝐟 𝐲𝐨𝐮’𝐯𝐞:
• Built custom DevOps bots or AI agents
• Got an OSCP or hacked together your own SOC2 framework
• Shipped production infra solo
• Open-sourced your infra tools or scripts
𝐉𝐨𝐢𝐧 𝐔𝐬
If you’re still reading—good. That’s a signal.
𝐀𝐩𝐩𝐥𝐲 𝐡𝐞𝐫𝐞👉 https://lnkd.in/gsqjaJSP
Java
Spring BootJob Title : Senior Backend Engineer – Java, AI & Automation
Experience : 4+ Years
Location : Any Cognizant location (India)
Work Mode : Hybrid
Interview Rounds :
- Virtual
- Face-to-Face (In-person)
Job Description :
Join our Backend Engineering team to design and maintain services on the Intuit Data Exchange (IDX) platform.
You'll work on scalable backend systems powering millions of daily transactions across Intuit products.
Key Qualifications :
- 4+ years of backend development experience.
- Strong in Java, Spring framework.
- Experience with microservices, databases, and web applications.
- Proficient in AWS and cloud-based systems.
- Exposure to AI and automation tools (Workato preferred).
- Python development experience.
- Strong communication skills.
- Comfortable with occasional US shift overlap.
Job Title: Senior AIML Engineer – Immediate Joiner (AdTech)
Location: Pune – Onsite
About Us:
We are a cutting-edge technology company at the forefront of digital transformation, building innovative AI and machine learning solutions for the digital advertising industry. Join us in shaping the future of AdTech!
Role Overview:
We are looking for a highly skilled Senior AIML Engineer with AdTech experience to develop intelligent algorithms and predictive models that optimize digital advertising performance. Immediate joiners preferred.
Key Responsibilities:
- Design and implement AIML models for real-time ad optimization, audience targeting, and campaign performance analysis.
- Collaborate with data scientists and engineers to build scalable AI-driven solutions.
- Analyze large volumes of data to extract meaningful insights and improve ad performance.
- Develop and deploy machine learning pipelines for automated decision-making.
- Stay updated on the latest AI/ML trends and technologies to drive continuous innovation.
- Optimize existing models for speed, scalability, and accuracy.
- Work closely with product managers to align AI solutions with business goals.
Requirements:
- Minimum 4-6 years of experience in AIML, with a focus on AdTech (Mandatory).
- Strong programming skills in Python, R, or similar languages.
- Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Expertise in data processing and real-time analytics.
- Strong understanding of digital advertising, programmatic platforms, and ad server technology.
- Excellent problem-solving and analytical skills.
- Immediate joiners preferred.
Preferred Skills:
- Knowledge of big data technologies like Spark, Hadoop, or Kafka.
- Experience with cloud platforms like AWS, GCP, or Azure.
- Familiarity with MLOps practices and tools.
How to Apply:
If you are a passionate AIML engineer with AdTech experience and can join immediately, we want to hear from you. Share your resume and a brief note on your relevant experience.
Join us in building the future of AI-driven digital advertising!
CC++JioTesseract, a digital arm of Reliance Industries, is India's leading and largest AR/VR organization with the mission to democratize mixed reality for India and the world. We make products at the cross of hardware, software, content and services with focus on making India the leader in spatial computing. We specialize in creating solutions in AR, VR and AI, with some of our notable products such as JioGlass, JioDive, 360 Streaming, Metaverse, AR/VR headsets for consumers and enterprise space.
Mon-fri role, In office, with excellent perks and benefits!
Position Overview
We are seeking a Software Architect to lead the design and development of high-performance robotics and AI software stacks utilizing NVIDIA technologies. This role will focus on defining scalable, modular, and efficient architectures for robot perception, planning, simulation, and embedded AI applications. You will collaborate with cross-functional teams to build next-generation autonomous systems 9
Key Responsibilities:
1. System Architecture & Design
● Define scalable software architectures for robotics perception, navigation, and AI-driven decision-making.
● Design modular and reusable frameworks that leverage NVIDIA’s Jetson, Isaac ROS, Omniverse, and CUDA ecosystems.
● Establish best practices for real-time computing, GPU acceleration, and edge AI inference.
2. Perception & AI Integration
● Architect sensor fusion pipelines using LIDAR, cameras, IMUs, and radar with DeepStream, TensorRT, and ROS2.
● Optimize computer vision, SLAM, and deep learning models for edge deployment on Jetson Orin and Xavier.
● Ensure efficient GPU-accelerated AI inference for real-time robotics applications.
3. Embedded & Real-Time Systems
● Design high-performance embedded software stacks for real-time robotic control and autonomy.
● Utilize NVIDIA CUDA, cuDNN, and TensorRT to accelerate AI model execution on Jetson platforms.
● Develop robust middleware frameworks to support real-time robotics applications in ROS2 and Isaac SDK.
4. Robotics Simulation & Digital Twins
● Define architectures for robotic simulation environments using NVIDIA Isaac Sim & Omniverse.
● Leverage synthetic data generation (Omniverse Replicator) for training AI models.
● Optimize sim-to-real transfer learning for AI-driven robotic behaviors.
5. Navigation & Motion Planning
● Architect GPU-accelerated motion planning and SLAM pipelines for autonomous robots.
● Optimize path planning, localization, and multi-agent coordination using Isaac ROS Navigation.
● Implement reinforcement learning-based policies using Isaac Gym.
6. Performance Optimization & Scalability
● Ensure low-latency AI inference and real-time execution of robotics applications.
● Optimize CUDA kernels and parallel processing pipelines for NVIDIA hardware.
● Develop benchmarking and profiling tools to measure software performance on edge AI devices.
Required Qualifications:
● Master’s or Ph.D. in Computer Science, Robotics, AI, or Embedded Systems.
● Extensive experience (7+ years) in software development, with at least 3-5 years focused on architecture and system design, especially for robotics or embedded systems.
● Expertise in CUDA, TensorRT, DeepStream, PyTorch, TensorFlow, and ROS2.
● Experience in NVIDIA Jetson platforms, Isaac SDK, and GPU-accelerated AI.
● Proficiency in programming languages such as C++, Python, or similar, with deep understanding of low-level and high-level design principles.
● Strong background in robotic perception, planning, and real-time control.
● Experience with cloud-edge AI deployment and scalable architectures.
Preferred Qualifications
● Hands-on experience with NVIDIA DRIVE, NVIDIA Omniverse, and Isaac Gym
● Knowledge of robot kinematics, control systems, and reinforcement learning
● Expertise in distributed computing, containerization (Docker), and cloud robotics
● Familiarity with automotive, industrial automation, or warehouse robotics
● Experience designing architectures for autonomous systems or multi-robot systems.
● Familiarity with cloud-based solutions, edge computing, or distributed computing for robotics
● Experience with microservices or service-oriented architecture (SOA)
● Knowledge of machine learning and AI integration within robotic systems
● Knowledge of testing on edge devices with HIL and simulations (Isaac Sim, Gazebo, V-REP etc.)
Responsibilities
- Design and implement advanced solutions utilizing Large Language Models (LLMs).
- Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
- Conduct research and stay informed about the latest developments in generative AI and LLMs.
- Develop and maintain code libraries, tools, and frameworks to support generative AI development.
- Participate in code reviews and contribute to maintaining high code quality standards.
- Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
- Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
- Possess strong analytical and problem-solving skills.
- Demonstrate excellent communication skills and the ability to work effectively in a team environment.
Primary Skills
- Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
- Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and Huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
- Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
- Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
- Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.
- Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.
Director of Technology
Role Summary:
As a Technical Director at IntraEdge, you will be at the forefront of leading our technology teams, providing expert guidance and support across multiple projects. This role is crucial for recruiting top talent, ensuring technical excellence, and staying abreast of industry trends. Your expertise will also significantly contribute to our pre-sales efforts, showcasing our technical capabilities to potential clients.
Key Responsibilities:
- Mentor and lead multiple technology teams, helping resolve complex technical challenges.
- Participate in final round interviews to assess and secure top-tier talent.
- Research and implement new technological patterns and strategies.
- Stay updated with the latest industry trends to enhance our technological offerings.
- Support pre-sales activities by articulating technical strategies and solutions to prospective clients.
Qualifications:
- Proven experience in technical leadership and team management.
- Must have at-least 7+ years of experience in Software Development
- Must have 3+ years experience of exposure working for a Startup or a Startup environment.
- Strong recruiting and talent assessment skills.
- Must have experience or at least a strong awareness of technology trends in a broad range of areas including, but not limited to: Web & API Development, Data Engineering, Mobile Development, Quality Assurance, AI Development, Cloud Native Development, Infrastructure as Code, Microservices Architecture, Serverless Application Development, Infrastructure & Application Security.
- Excellent understanding of current technology trends and patterns.
- Hands-On experience in 2 or more programming language.
- Strong communication skills, capable of effectively articulating technical and non-technical concepts to various stakeholders.
- Effective communication and pre-sales skills.
Desired Skills:
- Strategic thinker with a knack for innovation.
- Able to motivate and drive technology teams towards achieving exceptional performance.
- Comfortable working in a dynamic, fast-paced environment.
About Intraedge: https://intraedge.com/
Intraedge is a Technology, Products and Learning Organization, It was founded in 2002 with offices in the US, India, Europe, Canada, and Singapore. We provide our clients with the resources and expertise to enhance business performance through technology.
Python
Machine Learning (ML)Amazon Web Services (AWS)Relevant Experience:
• 3-5 years
Required Skills
• In-depth experience with Python and OO concepts
• Experience with using NumPy, Pandas, or similar AI/ML libraries
• Deep understanding of multi-process architecture and threading limitations of Python
• Expert knowledge of Python and related frameworks including Django and Flask.
• Experience in Machine Learning and Artificial Intelligence
• Good understanding of relational data modeling concepts and comfortable with SQL
• databases.
• Good understanding of AWS / Azure cloud
• Nice to have
• Experience / Exposure in Chat BOT or Voice BOT
• Experience in Lambda Function OR Azure Functions
• Exposure to Financial Domain
Additional Skillsets Desired:
• Ability to work with clients and key stakeholders to ensure requirements are met
• Strong problem-solving and debugging skills
• Passion to work in a start-up environment and readiness to dabble with challenging
• Ability to work in both a solo and team environment
• Proven ability to communicate technical information coherently, both verbally and into internal team and external customers, maintaining a customer focused
Data ScienceMachine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Machine Learning (ML)- NLU, Text, Speech, Image Processing
- Excited about Machine Learning and AI
- Want to work on a highly saleable, performance-optimized infrastructure that elastically handles customer needs
- Innovate, Design, and prototype solutions for Digital Assistant and Bots platform to handle heavy loads
- Build and maintain our platform and automation frameworks to ensure maximum uptime and predictability while preventing outages and service interruptions or degradations
- Analyze system failures and develop rapid response solutions to ensure such failures do not reoccur
- Work cross-functionally with product development, Product Management, Program Management and Cloud Infra operations teams
- Partner with Engineering to provide the infrastructure and services required to enable innovation
- Predict and provide notice of potential system vulnerabilities for current and future solutions and implementations. Provide specific recommendations and guidance to address such vulnerabilities
- Analyze, build and maintain all automation tools and processes to ensure the highest standards of reliability and robustness
- Fully understand our customer's service needs and ensure we meet these needs
Preferred Qualifications
- NLU, Text, Speech, Image Processing
- Excited about Machine Learning and AI
- Want to work on a highly saleable, performance-optimized infrastructure that elastically handles customer needs
- Innovate, Design, and prototype solutions for Digital Assistant and Bots platform to handle heavy loads
- Build and maintain our platform and automation frameworks to ensure maximum uptime and predictability while preventing outages and service interruptions or degradations
- Analyze system failures and develop rapid response solutions to ensure such failures do not reoccur
- Work cross-functionally with product development, Product Management, Program Management and Cloud Infra operations teams
- Partner with Engineering to provide the infrastructure and services required to enable innovation
- Predict and provide notice of potential system vulnerabilities for current and future solutions and implementations. Provide specific recommendations and guidance to address such vulnerabilities
- Analyze, build and maintain all automation tools and processes to ensure the highest standards of reliability and robustness
- Fully understand our customer's service needs and ensure we meet these needs
- No matter your role in our team, you will find yourself in an exciting and challenging environment where every person is empowered to show initiative, be outspoken, and be proactive and not reactive. Oracle is dedicated to the continual growth and development of its staff, striving constantly to strengthen our expertise as well as develop new skills. Our team is spread all around the world in four continents - we provide a full range of opportunities and challenges to apply your kills and grow your career in this new and exciting arena.
Machine Learning (ML)PythonAdvanced degree in computer science, math, statistics or a related discipline ( Must have master degree )
Extensive data modeling and data architecture skills
Programming experience in Python, R
Background in machine learning frameworks such as TensorFlow or Keras
Knowledge of Hadoop or another distributed computing systems
Experience working in an Agile environment
Advanced math skills (Linear algebra
Discrete math
Differential equations (ODEs and numerical)
Theory of statistics 1
Numerical analysis 1 (numerical linear algebra) and 2 (quadrature)
Abstract algebra
Number theory
Real analysis
Complex analysis
Intermediate analysis (point set topology)) ( important )
Strong written and verbal communications
Hands on experience on NLP and NLG
Experience in advanced statistical techniques and concepts. ( GLM/regression, Random forest, boosting, trees, text mining ) and experience with application.
KubernetesDockerSenior Devops Engineer
Who are we?
Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.
What do we believe?
- Best practices are overrated
- Implementing best practices can only make one n ‘average’ .
- Honesty and Transparency
- We believe in naked truth. We do what we tell and tell what we do.
- Client Partnership
- Client - Vendor relationship: No. We partner with clients instead.
- And our sales team comprises 100% of our clients.
How do we work?
It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.
- Humble: Happy people don’t carry ego around. We listen to understand; not to respond.
- Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.
- Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.
- Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.
- Innovative: Innovate or Die. We love to challenge the status quo.
- Experimental: We encourage curiosity & making mistakes.
- Responsible: Driven. Self motivated. Self governing teams. We own it.
Are you the one? Quick self-discovery test:
- Love for cloud: When was the last time your dinner entailed an act on “How would ‘Jerry Seinfeld’ pitch Cloud platform & products to this prospect” and your friend did the ‘Sheldon’ version of the same thing.
- Passion for sales: When was the last time you went at a remote gas station while on vacation, and ended up helping the gas station owner saasify his 7 gas stations across other geographies.
- Compassion for customers: You listen more than you speak. When you do speak, people feel the need to listen.
- Humor for life: When was the last time you told a concerned CEO, ‘If Elon Musk can attempt to take humanity to Mars, why can’t we take your business to run on cloud ?
Introduction
When was the last time you thought about rebuilding your smart phone charger using solar panels on your backpack OR changed the sequencing of switches in your bedroom (on your own, of course) to make it more meaningful OR pointed out an engineering flaw in the sequencing of traffic signal lights to a fellow passenger, while he gave you a blank look? If the last time this happened was more than 6 months ago, you are a dinosaur for our needs. If it was less than 6 months ago, did you act on it? If yes, then let’s talk.
We are quite keen to meet you if:
- You eat, dream, sleep and play with Cloud Data Store & engineering your processes on cloud architecture
- You have an insatiable thirst for exploring improvements, optimizing processes, and motivating people.
- You like experimenting, taking risks and thinking big.
3 things this position is NOT about:
- This is NOT just a job; this is a passionate hobby for the right kind.
- This is NOT a boxed position. You will code, clean, test, build and recruit & energize.
- This is NOT a position for someone who likes to be told what needs to be done.
3 things this position IS about:
- Attention to detail matters.
- Roles, titles, ego does not matter; getting things done matters; getting things done quicker & better matters the most.
- Are you passionate about learning new domains & architecting solutions that could save a company millions of dollars?
Roles and Responsibilities
This is an entrepreneurial Cloud/DevOps Lead position that evolves to the Director- Cloud engineering .This position requires fanatic iterative improvement ability - architect a solution, code, research, understand customer needs, research more, rebuild and re-architect, you get the drift. We are seeking hard-core-geeks-turned-successful-techies who are interested in seeing their work used by millions of users the world over.
Responsibilities:
- Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML technologies
- Design, deploy and maintain Cloud infrastructure for Clients – Domestic & International
- Develop tools and automation to make platform operations more efficient, reliable and reproducible
- Create Container Orchestration (Kubernetes, Docker), strive for full automated solutions, ensure the up-time and security of all cloud platform systems and infrastructure
- Stay up to date on relevant technologies, plug into user groups, and ensure our client are using the best techniques and tools
- Providing business, application, and technology consulting in feasibility discussions with technology team members, customers and business partners
- Take initiatives to lead, drive and solve during challenging scenarios
Requirements:
- 3 + Years of experience in Cloud Infrastructure and Operations domains
- Experience with Linux systems, RHEL/CentOS preferred
- Specialize in one or two cloud deployment platforms: AWS, GCP, Azure
- Hands on experience with AWS services (EC2, VPC, RDS, DynamoDB, Lambda)
- Experience with one or more programming languages (Python, JavaScript, Ruby, Java, .Net)
- Good understanding of Apache Web Server, Nginx, MySQL, MongoDB, Nagios
- Knowledge on Configuration Management tools such as Ansible, Terraform, Puppet, Chef
- Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)
- Deep experience in customer facing roles with a proven track record of effective verbal and written communications
- Dependable and good team player
- Desire to learn and work with new technologies
Key Success Factors
- Are you
- Likely to forget to eat, drink or pee when you are coding?
- Willing to learn, re-learn, research, break, fix, build, re-build and deliver awesome code to solve real business/consumer needs?
- An open source enthusiast?
- Absolutely technology agnostic and believe that business processes define and dictate which technology to use?
- Ability to think on your feet, and follow-up with multiple stakeholders to get things done
- Excellent interpersonal communication skills
- Superior project management and organizational skills
- Logical thought process; ability to grasp customer requirements rapidly and translate the same into technical as well as layperson terms
- Ability to anticipate potential problems, determine and implement solutions
- Energetic, disciplined, with a results-oriented approach
- Strong ethics and transparency in dealings with clients, vendors, colleagues and partners
- Attitude of ‘give me 5 sharp freshers and 6 months and I will rebuild the way people communicate over the internet.
- You are customer-centric, and feel strongly about building scalable, secure, quality software. You thrive and succeed in delivering high quality technology products in a growth environment where priorities shift fast.
NodeJS (Node.js)Python
React.js> You need to have:
- An analytical mind with strong logical & reasoning ability
- Very good communication skills (verbal and written).
- Good application development skills.
- Strong debugging skills.
- Should have excellent coding/Programming skills
- A quick learning ability
Start your Journey with us for a high growth, flying career!
> We at Deqode
- Have flexible 5 working days
- Work on bleeding edge technologies (Blockchain/ AI/ Deep learning/ RL/ Quantum computing).
- Have desirable Perks.
- Have the best Financial Pay scale in the industry.
- Practice Democracy of thoughts.
- Believe in working hard and party harder.
Join us and be a part of a team that breathes technology.
Technology Stack - Mean stack/Mern Stack, Full stack, React.js, React Native, Nodejs, ROR, Angular, Python, Blockchain, AI/ ML.
> We are looking for candidates who have a thirst for gaining knowledge, are passionate about coding :) Kindly revert back with your updated CV.
Machine Learning (ML)Python
Deep LearningJob Description:
Roles & Responsibilities:
· You will be involved in every part of the project lifecycle, right from identifying the business problem and proposing a solution, to data collection, cleaning, and preprocessing, to training and optimizing ML/DL models and deploying them to production.
· You will often be required to design and execute proof-of-concept projects that can demonstrate business value and build confidence with CloudMoyo’s clients.
· You will be involved in designing and delivering data visualizations that utilize the ML models to generate insights and intuitively deliver business value to CXOs.
Desired Skill Set:
· Candidates should have strong Python coding skills and be comfortable working with various ML/DL frameworks and libraries.
· Hands-on skills and industry experience in one or more of the following areas is necessary:
1) Deep Learning (CNNs/RNNs, Reinforcement Learning, VAEs/GANs)
2) Machine Learning (Regression, Random Forests, SVMs, K-means, ensemble methods)
3) Natural Language Processing
4) Graph Databases (Neo4j, Apache Giraph)
5) Azure Bot Service
6) Azure ML Studio / Azure Cognitive Services
7) Log Analytics with NLP/ML/DL
· Previous experience with data visualization, C# or Azure Cloud platform and services will be a plus.
· Candidates should have excellent communication skills and be highly technical, with the ability to discuss ideas at any level from executive to developer.
· Creative problem-solving, unconventional approaches and a hacker mindset is highly desired.
Data ScienceMachine Learning (ML)Python
R Programming
JavaMachine Learning (ML)Deep Learning
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