Data Science Jobs in Hyderabad

AUTHORITY
●Set department objectives.
●Hire, promote, motivate, train, mentor and incentivize the team.
●Innovate, Experiment, and Implement new technologies.
● Contribute to the next level of growth for the AI practice.
RESPONSIBILITY
●Lead and manage the AI team within the global AI practice
●Work closely with data scientists and AI engineers to create and deploy models catering to
customer requirements
●Establish scalable, efficient, automated processes for data analysis, model development,
validation, deployment, serving, and monitoring
●Work closely with data engineering practice to build and deploy end-to-end AI pipelines
including data processing, model training, and model deployment.
●Ability to build and deploy large-scale enterprise-ready solutions for AI.
●Own and deliver end-to-end large, complex projects within the AI practice.
●Support sales and BD process and present to CXO-level client representatives.
●Work with clients to identify new AI opportunities
●Prepare together with the Sales, Solutioning, and Engineering teams to develop and propose
cutting edge AI solutions
●Contribute to building AI proposals, attending Orals, and providing easy to understand
communications on AI
●Ability to manage Client Relationships
●Cooperate and contribute to Global AI programs
●Reviews proposed designs and make recommendations for improvement.
●Contribute to and promote good software engineering practices across the team.
●Knowledge sharing with the team to adopt best practices,
●Actively contribute to and re-use community best practices.
About Our Company:
●We built an end-to-end AI framework to help our clients to accelerate their journey to launch
models
●We work closely with academic experts and research groups to solve some of the niches
problems in medical imaging, biopharma, life sciences, law firms, retail, and agriculture
●Work environment – we have an environment to create an impact on the client's business and
transform innovative ideas into reality. Even our junior engineers get the opportunity to work
on different product features in complex domains
●Open communication, flat hierarchy, plenty of individual responsibility

Requirements: Skills
 A Bachelor’s degree in data science, statistics, computer science, or a similar field
 2+ years industry experience working in a data science role, such as statistics, machine learning,
deep learning, quantitative financial analysis, data engineering or natural language processing
 Domain experience in Financial Services (banking, insurance, risk, funds) is preferred
 Have and experience and be involved in producing and rapidly delivering minimum viable products,
results focused with ability to prioritize the most impactful deliverables
 Strong Applied Statistics capabilities. Including excellent understanding of Machine Learning
techniques and algorithms
 Hands on experience preferable in implementing scalable Machine Learning solutions using Python /
Scala / Java on Azure, AWS or Google cloud platform
 Experience with storage frameworks like Hadoop, Spark, Kafka etc
 Experience in building &deploying unsupervised, semi-supervised, and supervised models and be
knowledgeable in various ML algorithms such as regression models, Tree-based algorithms,
ensemble learning techniques, distance-based ML algorithms etc
 Ability to track down complex data quality and data integration issues, evaluate different algorithmic
approaches, and analyse data to solve problems.
 Experience in implementing parallel processing and in-memory frameworks such as H2O.ai

Hi, Greetings 
We have a urgent requirement for the post  of  IBM MDM (AE) profile
Notice period - should b e 15-30 days

Do you have a passion for computer vision and deep learning problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! Material Depot (materialdepot.in) is on a mission to be India’s largest tech company in the Architecture, Engineering and Construction space by democratizing the construction ecosystem and bringing stakeholders onto a common digital platform. Our engineering team is responsible for developing Computer Vision and Machine Learning tools to enable digitization across the construction ecosystem. The founding team includes people from top management consulting firms and top colleges in India (like BCG, IITB), and have worked extensively in the construction space globally and is funded by top Indian VCs.

Our team empowers Architectural and Design Businesses to effectively manage their day to day operations. We are seeking an experienced, talented Data Scientist to join our team. You’ll be bringing your talents and expertise to continue building and evolving our highly available and distributed platform.

Our solutions need complex problem solving in computer vision that require robust, efficient, well tested, and clean solutions. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in a unique team where your skills and expertise can be used to influence future user experiences that will be used by millions.

• Extensive knowledge in machine learning and deep learning techniques
• Solid background in image processing/computer vision
• Experience in building datasets for computer vision tasks
• Experience working with and creating data structures / architectures
• Proficiency in at least one major machine learning framework
• Experience visualizing data to stakeholders
• Ability to analyze and debug complex algorithms
• Good understanding and applied experience in classic 2D image processing and segmentation
• Robust semantic object detection under different lighting conditions
• Segmentation of non-rigid contours in challenging/low contrast scenarios
• Sub-pixel accurate refinement of contours and features
• Experience in image quality assessment
• Experience with in depth failure analysis of algorithms
• Highly skilled in at least one scripting language such as Python or Matlab and solid experience in C++
• Creativity and curiosity for solving highly complex problems
• Excellent communication and collaboration skills
• Mentor and support other technical team members in the organization
• Create, improve, and refine workflows and processes for delivering quality software on time and with carefully calculated debt
• Work closely with product managers, customer support representatives, and account executives to help the business move fast and efficiently through relentless automation.

• You’re part of an agile, multidisciplinary team.
• You bring your own unique skill set to the table and collaborate with others to accomplish your team’s goals.
• You prioritize your work with the team and its product owner, weighing both the business and technical value of each task.
• You experiment, test, try, fail, and learn continuously.
• You don’t do things just because they were always done that way, you bring your experience and expertise with you and help the team make the best decisions.

• Strong knowledge of and experience with the functional programming paradigm.
• Experience conducting code reviews, providing feedback to other engineers.
• Great communication skills and a proven ability to work as part of a tight-knit team.

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.

 

Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.

 

Required Technical Skill Set:

• Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

• Experience using the full open source programming tools and utilities
• Experience in working in end-to-end data science project implementation.
• 2+ years of experience with development and deployment of Machine Learning applications
• 2+ years of experience with NLP approaches in a production setting
• Experience in building models using bagging and boosting algorithms
• Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
• Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
• Strong python skills following software engineering best practices
• Experience in using code versioning tools like GIT, bit bucket
• Experience in working in Agile projects
• Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
• Experience managing big data with efficient query program good to have
• Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
• Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
• Experience with Health care sector is preferred
• MS/M.Tech or PhD is a plus

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.

 

Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.

 

Required Technical Skill Set:

• Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

• Experience using the full open source programming tools and utilities
• Experience in working in end-to-end data science project implementation.
• 2+ years of experience with development and deployment of Machine Learning applications
• 2+ years of experience with NLP approaches in a production setting
• Experience in building models using bagging and boosting algorithms
• Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
• Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
• Strong python skills following software engineering best practices
• Experience in using code versioning tools like GIT, bit bucket
• Experience in working in Agile projects
• Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
• Experience managing big data with efficient query program good to have
• Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
• Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
• Experience with Health care sector is preferred
• MS/M.Tech or PhD is a plus

Responsibilities

• Own the design, development, testing, deployment, and craftsmanship of the team’s infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability
• Leverage the deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues
• Entrepreneurial and out-of-box thinking essential for a technology startup
• Guide the team for unit-test code for robustness, including edge cases, usability, and general reliability

 

Requirements

• In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers
• Experience in feature extraction, object recognition and tracking, image registration, noise reduction, image calibration, and correction
• Ability to understand, optimize and debug imaging algorithms
• Understating and experience in openCV library
• Fundamental understanding of mathematical techniques involved in ML and DL schemas (Instance-based methods, Boosting methods, PGM, Neural Networks etc.)
• Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data.
• Understanding of engineering principles and a clear understanding of data structures and algorithms
• Experience in writing production level codes using either C++ or Java
• Experience with technologies/libraries such as python pandas, numpy, scipy
• Experience with tensorflow and scikit.

Data science Freshers with a Product & IT service based company

Qualifications
B.Tech/M.Tech
Percentage 70% and above
2018 & 2019 passouts
At least 3 POC Implementations should have done
Premium Institutes passouts are more preferrable

Associate Director – Data Science

Tiger Analytics is a global AI & analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modeled around expertise and mutual respect with a team first mindset. Working at Tiger, you’ll be at the heart of this AI revolution. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
We are headquartered in the Silicon Valley and have our delivery centres across the globe. The below role is for our Chennai or Bangalore office, or you can choose to work remotely.

About the Role:

As an Associate Director - Data Science at Tiger Analytics, you will lead data science aspects of endto-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
• Work closely with internal teams and client stakeholders to design analytical approaches to
solve business problems
• Develop and enhance a broad range of cutting-edge data analytics and machine learning
problems across a variety of industries.
• Work on various aspects of the ML ecosystem – model building, ML pipelines, logging &
versioning, documentation, scaling, deployment, monitoring and maintenance etc.
• Lead a team of data scientists and engineers to embed AI and analytics into the client
business decision processes.

Desired Skills:

• High level of proficiency in a structured programming language, e.g. Python, R.
• Experience designing data science solutions to business problems
• Deep understanding of ML algorithms for common use cases in both structured and
unstructured data ecosystems.
• Comfortable with large scale data processing and distributed computing
• Excellent written and verbal communication skills
• 10+ years exp of which 8 years of relevant data science experience including hands-on
programming.

Designation will be commensurate with expertise/experience. Compensation packages among the best in the industry.

Responsibilities: 
 

• The Machine & Deep Machine Learning Software Engineer (Expertise in Computer Vision) will be an early member of a growing team with responsibilities for designing and developing highly scalable machine learning solutions that impact many areas of our business. 
• The individual in this role will help in the design and development of Neural Network (especially Convolution Neural Networks) & ML solutions based on our reference architecture which is underpinned by big data & cloud technology, micro-service architecture and high performing compute infrastructure. 
• Typical daily activities include contributing to all phases of algorithm development including ideation, prototyping, design, and development production implementation. 

Required Skills: 
 

• An ideal candidate will have a background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems. 
• Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and open-source libraries 
• Strong coding skills and fundamentals in data structures, predictive modeling, and big data concepts 
• Experience in designing full stack ML solutions in a distributed computing environment 
• Experience working with Python, Tensor Flow, Kera’s, Sci-kit, pandas, NumPy, AZURE, AWS GPU
• Excellent communication skills with multiple levels of the organization 
• Image CNN, Image processing, MRCNN, FRCNN experience is a must.

Hi Candidates, Greetings From Publicvibe !!! We are Hiring NLP Engineers/ Data scientists in between 0.6 to 2.5 Years of Experience for our Hyderabad location, if anyone looking out for opportunities or Job change, reach out to us. Regards, Dhaneesha Dominic.

3 or more years of experience in Python programming Good understanding of Object oriented programming concept. Should have working knowledge with flask and mongodb. At least 2 - 3years experience in Machine learning and NLP Proficient with machine learning and deep learning libraries like Pandas,Numpy,Scikit learn,Tensorflow, and Keras, Expertise into deep learning- neural networks would add advantages Proficient with Any Natural language processing library like NLTK or Spacy Hands-on technical experience of Artificial intelligence using open source programming languages and analytics software. Experience using data science techniques such as web scraping, text mining, natural language processing, machine learning, statistical modelling or image recognition Data visualisation skills, e.g. in Tableau or qlikview would add advantage.

Company Profile: Thrymr Software is an outsourced product development startup. Our primary development center is in Hyderabad, India with a team of about 100+ members across various technical roles. Thrymr is also in Singapore, Hamburg (Germany) and Amsterdam (Netherlands). Thrymr works with companies to take complete ownership of building their end to end products be it web or mobile applications or advanced analytics including GIS, machine learning or computer vision. http://thrymr.net Job Location Hyderabad, Financial District Job Description: As a Data Scientist, you will evaluate and improve products. You will collaborate with a multidisciplinary team of engineers and analysts on a wide range of problems. As a Data Scientist your responsibility will be (but not limited to) Design, benchmark and tune machine-learning algorithms,Painlessly and securely manipulate large and complex relational data sets, Assemble complex machine-learning strategies, Build new predictive apps and services Responsibilities: 1. Work with large, complex datasets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. 2. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data ​structures and metrics, advocating for changes were needed for both products development and sales activity. 3. Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design, and assess improvements to various products. 4. Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. 5. Research and develop analysis, forecasting, and optimization methods to improve the quality of uuser-facingproducts; example application areas include ads quality, search quality, end-user behavioral modeling, and live experiments. 6. Apart from the core data science work (subjected to projects and availability), you may also be required to contribute to regular software development work such as web, backend and mobile applications development. Our Expectations 1. You should have at least B.Tech/B.Sc degree or equivalent practical experience (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering). 2. You should have practical experience of working experience with statistical packages (e.g., R, Python, NumPy ) ​and databases (e.g., SQL). 3. You should have experience articulating business questions and using mathematical techniques to arrive at an answer using available data​. Experience translating analysis results into business recommendations. 4. You should have strong analytical and research skills 5. You should have good academics 6. You will have to very proactive and submit your daily/weekly reports very diligently 7. You should be comfortable with working exceptionally hard as we are a startup and this is a high-performance work environment. 8. This is NOT a 9 to 5 ​kind of job, you should be able to work long hours. What you can expect 1. High-performance work culture 2. Short-term travel across the globe at very short notices 3. Accelerated learning (you will learn at least thrice as much compared to other companies in similar roles) and become a lot more technical 4. Happy go lucky team with zero politics 5. Zero tolerance for unprofessional behavior and substandard performance 6. Performance-based appraisals that can happen anytime with considerable hikes compared to single-digit annual hikes as the market standard

Software Engineer – ML at Indix provides an opportunity to design and build systems that crunch large amounts of data everyday What We’re Looking For- 3+ years of experience Ability to propose hypothesis and design experiments in the context of specific problems. Should come from a strong engineering background Good overlap with Indix Data tech stack such as Hadoop, MapReduce, HDFS, Spark, Scalding, Scala/Python/C++ Dedication and diligence in understanding the application domain, collecting/cleaning data and conducting experiments. Creativity in model and algorithm development. An obsession to develop algorithms/models that directly impact business. Master’s/Phd. in Computer Science/Statistics is a plus Job Expectations Experience working in text mining and python libraries like scikit-learn, numpy, etc Collect relevant data from production systems/Use crawling and parsing infrastructure to put together data sets. Survey academic literature and identify potential approaches for exploration. Craft, conduct and analyze experiments to evaluate models/algorithms. Communicate findings and take algorithms/models to production with end to end ownership.

We're an early stage film-tech startup with a mission to empower filmmakers and independent content creators with data-driven decision-making tools. We're looking for a data person to join the core team. Please get in touch if you would be excited to join us on this super exciting journey of disrupting the film production and distribution business. We are currently collaborating with Rana Daggubatt's Suresh Productions, and work out of their studio in Hyderabad - so exposure and opportunities to work on real issues faced by the media industry will be in plenty.

Primary Skills : - B.Tech/MS/PhD degree in Computer Science, Computer Engineering or related technical discipline with 3-4 years of industry experience in Data Science. - Proven experience of working on unstructured and textual data. Deep understanding and expertise of NLP techniques (POS tagging, NER, Semantic role labelling etc). - Experience working with some of the supervised/unsupervised learning ML models such as linear/logistic regression, clustering, support vector machines (SVM), neural networks, Random Forest, CRF, Bayesian models etc. The ideal candidate will have a wide coverage of the different methods/models, and an in depth knowledge of some. - Strong coding experience in Python, R and Apache Spark. Python Skills are mandatory. - Experience with NoSQL databases, such as MongoDB, Cassandra, HBase etc. - Experience of working with Elastic search is a plus. - Experience of working on Microsoft Azure is a plus although not mandatory. - Basic knowledge of Linux and related scripting like Bash/shell script. Role Description (Roles & Responsibilities) : - Candidate will research, design and implement state-of-the-art ML systems using predictive modelling, deep learning, natural language processing and other ML techniques to help meeting business objectives. - Candidate will work closely with the product development/Engineering team to develop solutions for complex business problems or product features. - Handle Big Data scale for training and deploying ML/NLP based business modules/chatbots.