Director - Applied AI
Who we are?
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 an 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.
So, what are we hunting for ?
- To devise strategy through the delivery of sustainable intelligent solutions, strategic customer engagements, and research and development
- To enable and lead our data and analytics team and develop machine learning and AI paths across strategic programs, solution implementation, and customer relationships
- To manage existing customers and realize new opportunities and capabilities of growth
- To collaborate with different stakeholders for delivering automated, high availability and secure solutions
- To develop talent and skills to create a high performance team that delivers superior products
- To communicate effectively across the organization to ensure that the team is completely aligned to business objectives
- To build strong interpersonal relationships with peers and other key stakeholders that will contribute to your team's success
Your bucket of Undertakings :
- Develop an AI roadmap aligned to client needs and vision
- Develop a Go-To-Market strategy of AI solutions for customers
- Build a diverse cross-functional team to identify and prioritize key areas of the business across AI, NLP and other cognitive solutions that will drive significant business benefit
- Lead AI R&D initiatives to include prototypes and minimum viable products
- Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc.
- Build reusable and scalable solutions for use across the customer base
- Create AI white papers and enable strategic partnerships with industry leaders
- Align, mentor, and manage, team(s) around strategic initiatives
- Prototype and demonstrate AI related products and solutions for customers
- Establish processes, operations, measurement, and controls for end-to-end life-cycle management of the digital workforce (intelligent systems)
- Lead AI tech challenges and proposals with team members
- Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans
- Identify new business opportunities and prioritize pursuits for AI
Education & Experience :
- Advanced or basic degree (PhD with few years experience, or MS / BS (with many years experience)) in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling
- 10+ years of Experience majorly in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus
- Strong, proven programming skills and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop. Experience with writing complex programs and implementing custom algorithms in these and other environments
- Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks
- Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains
- Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus
- Excellent communication skills (oral and written) to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team
About Searce Inc
Searce is a cloud, automation & analytics led process improvement company helping futurify businesses. Searce is a premier partner for Google Cloud for all products and services. Searce is the largest Cloud Systems Integrator for enterprises with the largest # of enterprise Google Cloud clients in India.
Searce specializes in helping businesses move to cloud, build on the next generation cloud, adopt SaaS - Helping reimagine the ‘why’ & redefining ‘what’s next’ for workflows, automation, machine learning & related futuristic use cases. Searce has been recognized by Google as one of the Top partners for the year 2015, 2016.
Searce's organizational culture encourages making mistakes and questioning the status quo and that allows us to specialize in simplifying complex business processes and use a technology agnostic approach to create, improve and deliver.
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Qualification:
M.S. / M.Tech/ B.Tech / B.E. (in this order of preference)
- Masters course in Data Science after technical (engineering/
science) degree
As a part of the Analytics team at Rupifi, you will play a significant role in helping define the business/product vision and deliver it from the ground up by working with passionate high-performing individuals in a very fast-paced working environment.
You will work closely with Data Scientists & Analysts, Engineers, Designers, Product Managers, Ops Managers and Business Leaders, and help the team make informed data driven decisions and deliver high business impact.
Skills:
1. Independent analytical thinking.
2. Entrepreneurial attitude for quick experimentation of ideas.
3. Passion for learning and ability to execute business priorities.
4. Good problem solving and decision-making skills.
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6. Strong storytelling: generate hard to find insights into concise and compelling data stories
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Tech skills:
Mandatory:
● SQL
● Python
● Spreadsheet: Excel/Google Sheets
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● Experience of working on AWS/GCP/Azure services.
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Sr. Machine Learning Engineer
at IDfy
About IDfy
IDfy is ranked amongst the World's Top 100 Regulatory Technology companies for the last two years. IDfy's AI-powered technology solutions help real people unlock real opportunities. We create the confidence required for people and businesses to engage with each other in the digital world. If you have used any major payment wallets, digitally opened a bank account , have used a self-drive car, have played a real-money online game, or hosted people through AirBnB, it's quite likely that your identity has been verified through IDfy at some point.
About the team
- The machine learning team is a closely knit team responsible for building models and services that support key workflows for IDfy.
- Our models are critical for these workflows and as such are expected to perform accurately and with low latency. We use a mix of conventional and hand-crafted deep learning models.
- The team comes from diverse backgrounds and experience. We respect opinions and believe in honest, open communication.
- We work directly with business and product teams to craft solutions for our customers. We know that we are, and function as a platform and not a services company.
About the role
In this role you will:
- Work on all aspects of a production machine learning platform: acquiring data, training and building models, deploying models, building API services for exposing these models, maintaining them in production, and more.
- Work on performance tuning of models
- From time to time work on support and debugging of these production systems
- Work on researching the latest technology in the areas of our interest and applying it to build newer products and enhancement of the existing platform.
- Building workflows for training and production systems
- Contribute to documentation
While the emphasis will be on researching, building and deploying models into production, you will be expected to contribute to aspects mentioned above.
About you
You are a seasoned machine learning engineer (or data scientist). Our ideal candidate is someone with 5+ years of experience in production machine learning.
Must Haves
- You should be experienced in framing and solving complex problems with the application of machine learning or deep learning models.
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- Managing a large scale production ML system for at least a couple of years
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- Monitoring and debugging of production ML systems
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Good to Have
- Our stack also includes languages like Go and Elixir. We would love it if you know any of these or take interest in functional programming.
- We use Docker and Kubernetes for deploying our services, so an understanding of this would be useful to have.
- Experience in using any other platform, frameworks, tools.
Other things to keep in mind
- Our goal is to help a significant part of the world’s population unlock real opportunities. This is an opportunity to make a positive impact here, and we hope you like it as much as we do.
Life At IDfy
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Proficient in data management and data mining.
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We are looking for a Data Scientist who is excited by the prospects of Mining Big Datasets, Deriving Actionable Insights, Building production-ready Predictive Models and have a direct impact on business.
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- Hands-on knowledge of Python for building production-ready data products.
- Strong Statistical Analysis and Modeling skills.
- Proven skills in Data Science, Data Mining, Machine Learning, covering the spectrum of supervised as well as unsupervised learning algorithms.
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- Bachelor’s or Master's degree in STEM.
- 3-7 years of relevant experience in applied Data Science.
@ ONLINESALES.AI:
- Get a chance to work with some of the most popular big data technologies in the market
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- Chance of making a dent in a multi-billion dollar digital advertising industry
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- Experience with data extraction and management
- Experience with R, Python for Data Analysis and Data modeling.
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Machine Learning Engineer
WE ARE GRAPHENE
Graphene is an award-winning AI company, developing customized insights and data solutions for corporate clients. With a focus on healthcare, consumer goods and financial services, our proprietary AI platform is disrupting market research with an approach that allows us to get into the mind of customers to a degree unprecedented in traditional market research.
Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally.
Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free.
We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!
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HARD AND SOFT SKILLS
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Hadoop Developer
at Object Technology Solutions Inc. (OTSI)
Dear Candidate,,
Greetings of the day!
As discussed, Please find the below job description.
Job Title : Hadoop developer
Experience : 3+ years
Job Location : New Delhi
Job type : Permanent
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Working with OTSi gives you the assurance of a successful, fast-paced career.
Exposure to infinite opportunities to learn and grow, familiarization with cutting-edge technologies, cross-domain experience and a harmonious environment are some of the prime attractions for a career-driven workforce.
Join us today, as we assure you 2000+ friends and a great career; Happiness begins at a great workplace..!
Feel free to refer this opportunity to your friends and associates.
About OTSI: (CMMI Level 3): Founded in 1999 and headquartered in Overland Park, Kansas, OTSI offers global reach and local delivery to companies of all sizes, from start-ups to Fortune 500s. Through offices across the US and around the world, we provide universal access to exceptional talent and innovative solutions in a variety of delivery models to reduce overall risk while optimizing outcomes & enabling our customers to thrive in a global economy.
OTSI's global presence, scalable and sustainable world-class infrastructure, business continuity processes, ISO 9001:2000, CMMI 3 certifications makes us a preferred service provider for our clients. OTSI has the expertise in different technologies enhanced by our partnerships and alliances with industry giants like HP, Microsoft, IBM, Oracle, and SAP and others. Highly repetitive local company with a proven success of serving the UAE Government IT needs is seeking to attract, employ and develop people with exceptional skills who want to make a difference in a challenging environment.Object Technology Solutions India Pvt Ltd is a leading Global Information Technology (IT) Services and Solutions company offering a wide array of Solutions for a range of key Verticals. The company is headquartered in Overland Park, Kansas, and has a strong presence in US, Europe and Asia-Pacific with a Global Delivery Center based in India. OTSI offers a broad range of IT application solutions and services including; e-Business solutions, Enterprise Resource Planning (ERP) implementation and Post Implementation Support, Application development, Application Maintenance, Software customizations services.
OTSI Partners & Practices
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