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Job Title: AI/ML Engineer
Location: Pune
Experience Level: 1-5 Years
Job Type: Full-Time
About Us
Vijay Sales is one of India’s leading retail brands, offering a wide range of electronics and home appliances across multiple channels. As we continue to expand, we are building advanced technology solutions to optimise operations, improve customer experience, and drive growth. Join us in shaping the future of retail with innovative AI/ML-powered solutions.
Role Overview
We are looking for an AI/ML Engineer to join our technology team and help drive innovation across our business. In this role, you will design, develop, and implement machine learning models for applications like inventory forecasting, pricing automation, customer insights, and operational efficiencies. Collaborating with a cross-functional team, you’ll ensure our AI/ML solutions deliver measurable impact.
Key Responsibilities
- Develop and deploy machine learning models to address business challenges such as inventory forecasting, dynamic pricing, demand prediction, and customer segmentation.
- Preprocess and analyze large volumes of sales and customer data to uncover actionable insights.
- Design algorithms for supervised, unsupervised, and reinforcement learning tailored to retail use cases.
- Implement and manage pipelines to deploy and monitor models in production environments.
- Continuously optimize model performance through retraining, fine-tuning, and feedback loops.
- Work closely with business teams to identify requirements and translate them into AI/ML solutions.
- Stay current with the latest AI/ML advancements and leverage them to enhance Vijay Sales’ technology stack.
Qualifications
Required:
- Bachelor’s/Master’s degree in Computer Science, Data Science, Mathematics, or a related field.
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Proven experience in developing, training, and deploying machine learning models.
- Strong understanding of data processing, feature engineering, and data pipeline design.
- Knowledge of algorithms for forecasting, classification, clustering, and optimization.
- Experience working with large-scale datasets and databases (SQL/NoSQL).
Preferred:
- Familiarity with retail industry challenges, such as inventory and pricing management.
- Experience with cloud platforms (AWS, GCP, or Azure) for deploying ML solutions.
- Knowledge of MLOps practices for scalable and efficient model management.
- Hands-on experience with time-series analysis and demand forecasting models.
- Understanding of customer analytics and personalization techniques.
Why Join Vijay Sales?
- Work with one of India’s most iconic retail brands as we innovate and grow.
- Be part of a team building transformative AI/ML solutions for the retail industry.
- A collaborative work environment that encourages creativity and learning.
- Competitive salary and benefits package, along with exciting growth opportunities.
Ready to make an impact? Apply now and help shape the future of Vijay Sales with cutting-edge AI/ML technologies!
Position: ML/AI Engineer (3+ years)
Responsibilities:
Design, develop, and deploy machine learning models with a focus on scalability and performance.
Implement unsupervised algorithms and handle large datasets for inference and analysis.
Collaborate with cross-functional teams to integrate AI/ML solutions into real-world applications.
Work on MLOps frameworks for model lifecycle management (optional but preferred).
Stay updated with the latest advancements in AI/ML technologies.
Requirements:
Proven experience in machine learning model building and deployment.
Hands-on experience with unsupervised learning algorithms (e.g., clustering, anomaly detection).
Proficiency in handling Big Data and related tools/frameworks.
Exposure to MLOps tools like MLflow, Kubeflow, or similar (preferred).
Familiarity with cloud platforms such as AWS, Azure, or GCP.
Location: Baner, Pune
Employment Type: Full-time
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.
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.
Job Overview:
Python Lead responsibilities include developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
Responsibilities:
- Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.
- Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
- 7+ years of Experience in creating rest api using popular python web frameworks like Django, flask or fastapi.
- Knowledge of databases like postgres, elastic, mongo etc.
- Knowledge of working with external integrations like redis, kafka, s3, ec2 etc.
- Some experience in ML integrations will be a plus.
Requirements:
- Work experience as a Python Developer
- Team spirit
- Good problem-solving skills
- Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
- strong knowledge of data structures, algorithms, and software engineering principles
- Nice to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face
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.
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
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.
at Panamax InfoTech Ltd.
- 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.
Advanced 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.
Senior 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.
at Simplifai Cognitive Solutions Pvt Ltd
Inside/Virtual Sales Specialist
Position – Virtual Account Manager
We are looking for a stellar Account Executive to join our team in Pune who would be
focused on the South East Asian market.
Responsibilities:
Prospect within named enterprises in South East Asia to generate pipeline
Consistently achieve license and recurring service revenue targets
Build a trusted advisor relationship with your prospects and customers
Use Simplifai’s prospecting and sales processes effectively
Ensure two-way flow of relevant and timely information
Anticipate challenges before the prospect does
Collaborate effectively with partnership, sales development, solutions consulting teams
The Candidate:
3-7 years of quantifiable, install base and new logo acquisition sales in B2B software with a strong
track record of success; experience with the full lifecycle of virtual sales from qualification, discovery
to closing
Strong willingness and ability to uncover opportunities by communicating a highly differentiated
value proposition to open doors at new accounts or expand deals at existing accounts; excellent
verbal and written communication skills with strong phone/video conference presence
Experience selling software platforms that belong to a nascent category in the Hype Cycle
Experience in account planning and opportunity management, and running a sales cycle
Experience framing value and ROI to business stakeholders
Ability to maintain an accurate CRM
Strong executive presence + interpersonal, written and presentation skills
Able to work independently and remotely from other members of your team
Outbound experience - Cold calls/emails/events etc. within prospect organizations.
Ability to identify prospect trigger/ pain with the right questions
Ability to learn to speak your prospect’s business language
Cross-cultural – you like working with many types of people across multiple geographies and
languages
Ability to learn what would make your prospect successful
The ability to teach your prospects using insights they didn’t know before
The ability to independently run a product demo
The discipline to meet your sales productivity requirements
Experience using prospecting tools - ZoomInfo, Lusha, Outreach, LinkedIn
What you will get to do:
The opportunity to script your success and growth path in a fast-growth Series A startup
Be one of the early Sales employees in the SEA region for Simplifai, with the added responsibility of
setting the strategy and leading the execution for Simplifai’s expansion in the SEA
Work with Sales and Product Marketing to develop new and leverage existing content
Work with some of the best talent from Norway and India
A deep knowledge of selling a SaaS B2B product in a category-defining company
Exposure to C-suite professionals from some of the top SaaS companies in the industry
The ability to prospect, demo, and close in a high paced environment
Full-stack learning of Sales tools
Achieve success that is directly proportional to the responsibilities you hold.
> 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.
Job 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.