Pathologist

JD:

As a Staff Software Engineer, you will be responsible for the design, implementation and maintenance of software modules owned by a team. You will guide and mentor junior team members by reviewing their code and designs to ensure that they are writing well designed and high quality code. This role requires excellent communication skills as you will need to collaborate across teams. 

Key Skills:

• 3 to 6 years of experience
• Extensive experience on C/C++/Python
• Experience on OS - Unix/Linux and Windows
• Hands on experience in Networking and Multi-threading

Desirable Skills:

• Experience in Cloud Technologies, system programming is a plus

Roles and responsibilities:

• Play key role in design/development of security product. 
• Responsible for the complete software development cycle.
• Gathering & understanding requirements.
• Design, development & implementation independently.
• Responsible for ensuring timely and quality delivery.
• Will be able to work in end to end features. 

Qualification:

• B.Tech / B.E / M.E./ M.Tech (Computer Science) or equivalent.

This is a full-time on-site role for a Marketing Strategist at PRODBIZ SOLUTIONS PVT LTD located in Hyderabad. The Marketing Strategist will be responsible for market research, developing marketing strategies, conducting research, and communication tasks on a day-to-day basis.

R360 powers a data-driven customer engagement ecosystem that enables the world’s leading organisations to earn customer loyalty every day.

For over 10 years, R360’s loyalty and reward platforms have driven ambitious loyalty programs for some of the world’s biggest brands – including Axis Bank, Standard Chartered Bank, HDFC Bank and Emirates National Dubai Bank. We have 500+ global retail partnerships and offer our clients reward programs, nuanced customer segmentation, data-centric campaigns, and big data analytics.

Our multidisciplinary team of technology experts, product engineers, data scientists, client relationship managers and customer experience professionals work together with our clients to enable loyalty by enhancing customer acquisition, engagement and retention.

Currently we are looking for a “Full Stack Developer” with an expertise in Java software development and proficient in React to join the software engineering team for our BFSI clients. The candidate will develop new application features and maintain existing ones. This position requires experience in making decisions and working both independently and as part of a small, dynamic team where everything the candidate does makes a difference.

What you’ll do:

·        Work as full stack developer with prime focus on backend

·        Responsible for handling and overseeing the End-to-end development from designing to development.

·        Produce reusable, testable, and efficient code

·        Troubleshoot critical issues and guide team as well.

·        Support & Nurture other developers providing advice, coaching along with Design and code review of Peers

·        Integrate data storage solutions and ensure application performance, quality, and responsiveness

·        Collaborate with a team to define, design, and ship new features

·        Identify and correct bottlenecks as well as fix bugs

·        Exhibit excellent communications skills and engage in technical discussions with peers becoming a trusted, technical advisor.

What we’ll need:

Mandatory skills:

·        Strong communication and Articulative skills.

·        University degree or equivalent educational experience (optimally a technical or engineering degree)

·        6+ years of software development experience in Java/J2EE using RESTful web services, Microservices and Spring boot

·        3+yrs of hands on experience in Angular/React technologies

·        Strong Data structures & algorithm skills along with Design skills

·        Ability to manage multiple priorities and projects simultaneously 

·        Understanding of Agile methodologies

·        Willingness to take ownership and find ways to unblock oneself.

·        Trustworthy, team oriented and transparent 

Technical Skills:

·        Core Java (Collection, multi-threading, design patterns)

·        Frameworks - Hibernate, Spring, REST Jersey

·        Front end technologies – Java Script, jQuery, Angular, Reactjs

·        Database – SQL & NoSQL

·        Modelling – UML & ERD

Job description

Language known: English / Hindi

Industry: Healthcare / Fitness/ wellness

Education and Experience

· Candidate should be a graduate / Undergraduate

. Six months of healthcare domain would be preferred.

· Excellent Communication skills and listening skills

Responsibilities

·  Have to resolve customer queries over Calls

·  Answering queries politely and provide accurate replies to the query.

· Directing calls to the concerned department and services of the company

·  Diagnostics Knowledge preferable

Key Skills

Customer care, Good communication skill , Telecalling, English, Hindi

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

What you need to have:

Ganit Inc. is the fastest growing Data Science & AI company in Chennai.

Founded in 2017, by 3 industry experts who are alumnus of IITs/SPJIMR with each of them having 17+ years of experience in the field of analytics.

We are in the business of maximising Decision Making Power (DMP) for companies by providing solutions at the intersection of hypothesis based analytics, discovery based AI and IoT. Our solutions are a combination of customised services and functional product suite.

We primarily operate as a US-based start-up and have clients across US, Asia-Pacific, Middle-East and have offices in USA - New Jersey & India - Chennai.

Started with 3 people, the company is fast growing with 100+ employees

1. What do we expect from you

- Should posses minimum 2 years of experience of data analytics model development and deployment

- Skills relating to core Statistics & Mathematics.

- Huge interest in handling numbers

- Ability to understand all domains in businesses across various sectors

- Natural passion towards numbers, business, coding, visualisation

2. Necessary skill set:

- Proficient in R/Python, Advanced Excel, SQL

- Should have worked with Retail/FMCG/CPG projects solving analytical problems in Sales/Marketing/Supply Chain functions

- Very good understanding of algorithms, mathematical models, statistical techniques, data mining, like Regression models, Clustering/ Segmentation, time series forecasting, Decision trees/Random forest, etc.

- Ability to choose the right model for the right data and translate that into code in R, Python, VBA (Proven capabilities)

- Should have handled large datasets and with through understanding of SQL

- Ability to handle a team of Data Analysts

3. Good to have skill set:

- Microsoft PowerBI / Tableau / Qlik View / Spotfire

4. Job Responsibilities:

- Translate business requirements into technical requirements

- Data extraction, preparation and transformation

- Identify, develop and implement statistical techniques and algorithms that address business challenges and adds value to the organisation

- Create and implement data models

- Interact with clients for queries and delivery adoption

5. Screening Methodology

- Problem Solving round (Telephonic Conversation)

- Technical discussion round (Telephonic Conversation)

- Final fitment discussion (Video Round